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Telling by hand: why academics need a different kind of reflection

by Elizabet Kaitell

On slowing down, noticing, and visual reflective journaling in the accelerated university

There are mornings when I arrive at my workstation, and my mind is foggy, my shoulders tight, before I have even opened a single email. Sometimes this is the residue of a difficult week. Sometimes it is something from outside work entirely, something happening in my life, in my body, in the people I love, that has followed me here, because, of course, it has. We do not leave ourselves at the door.

This is something we rarely say plainly in academic life: that we are not separate from our private selves, our families, our losses, our fears. We are embodied and embedded, porous, complex, open organisms, shaped by and shaping the environment we inhabit. What happens at home registers in the body that shows up to teach. What happens in a difficult seminar is carried home. The influence runs in every direction at once, and no amount of professional resolve, resilience training, or determined compartmentalisation changes this. The body does not take instructions. It registers, carries, and tells what our environment imprinted on us, often in ways we only notice when we finally slow down. This matters more than it might first appear: our sense of self is anchored in our capacity to feel and interpret these physical sensations — we do not fully know ourselves without access to them (Van der Kolk, 2015). And yet the conditions in which we increasingly work make exactly this kind of noticing harder.

We work increasingly in what Vostal (2016) calls the ‘accelerated academia’, a culture that prizes productivity, accountability, and efficiency at the expense of human sustainability (Mountz et al, 2015). These conditions require scholars to ‘excel at work rather than be well’ (Nørgård et al, 2024, p 133), with university staff showing significantly lower well-being than the general population (Kinman & Wray, 2021). In this environment, something quietly gets lost: our capacity to notice what is actually happening in our bodies, our encounters with students and colleagues, and in the texture of our everyday working lives.

I have been learning, slowly, imperfectly, to work with this rather than against it. Not to lock things away before I enter the classroom, but to notice what I am carrying, to let it surface with some gentleness, and then, with practice, to let it move through rather than accumulate. That is what this piece is about.

A different kind of reflection

Over the past few years, emerging from my doctoral research, I have been dwelling on a practice I refer to as Visual Reflective Journaling (VRJ). It began as a method of generating data about my own academic experience, but became something more: a way of staying with experience rather than rushing past it. Knowing is not confined to cognition but emerges through ongoing interactions between bodies, materials, and environments, and VRJ became a way of engaging these entanglements in practice.

The practice is deliberately simple. A notebook. A pen. Words, images, marks, fragments, brought together not to produce something polished or insightful, but to let the hand move in response to what the body already knows. Drawing on Ingold’s (2013) notion of ‘telling by hand’, where drawing is understood as a way of telling that keeps us closer to sentient engagement with the world, mark-making becomes a way of remaining closer to experience as it unfolds rather than processing it from a distance. A stick figure cycling uphill can carry more truth about a difficult week than three paragraphs of structured reflection.

VRJ starts not with a framework but with the body. Before writing or drawing anything: what is here right now? Is there tightness somewhere? Heaviness? A sense of bracing? These are not trivial questions. Our bodies carry the emotional labour of teaching, the tension before a difficult seminar, the weight of anonymous feedback that research suggests disproportionately targets women and marginalised colleagues (Heffernan, 2023), the physical and emotional effects that accumulate from student incivility (Lampman et al, 2009). By translating these somatic cues into marks, images, and fragments, we begin to see patterns that no single incident review would reveal. In doing so, we hold together words, images, and bodily experience in ways that can generate forms of knowing that exceed what any one mode might evoke alone (Ellingson, 2017).

Not a tool. Not a solution.

I want to be clear about what VRJ is not. It is not a coping strategy, not a resilience intervention, and not an institutional remedy for structural problems. Proposing an individual practice within a sector under systemic pressure risks reproducing exactly the narratives of self-management that make academic life harder. VRJ does not fix workloads, or eroded professional trust, or the conditions that produce burnout.

What it offers, more modestly, is a practice of attunement, a way of remaining present to one’s own experience within conditions that actively discourage it. Arts-based reflective practices have been shown to deepen reflection and heighten awareness of personal and contextual influences on practice (McKay & Barton, 2018), while visual journaling specifically can support mood repair and emotional sense-making in ways that purely verbal reflection cannot (Drake et al, 2011). Viewed through the lens of slow scholarship as a counter-narrative to accelerated, productivity-driven academic cultures (Nørgård et al, 2024), VRJ is a small enactment of deliberate slowness: pausing, noticing, staying with what is there rather than managing it away.

An invitation

You do not need artistic skill. You do not need special materials. What I would invite is this: find a notebook you like the feel of, keep it somewhere close, and occasionally, after a teaching session, at the start or end of a working day, when something is sitting with you, open it and spend five or ten minutes with whatever is there. Draw. Write fragments. Make marks that don’t mean anything yet.

A journal entry at the end of a working day, pausing before leaving, noticing what the day had left in my body before asking it to carry anything else. The dense, tangled marks at the head capture the weight of an overcrowded mind, and the beginnings of a migraine that comes when too much has accumulated, from work, from life, from everything at once. The orange lines tracing the neck and shoulders map tension and the persistent discomfort of an injury still healing. The circled warmth in the stomach is anxiety, not dramatic, just present, as it often is. This is not an analysis. It is simply noticing. [Figure 1].

Figure 1: End of Day

Over time, the practice generates its own knowledge. The journal becomes less a static record and more a space where past encounters, present sensations, and imagined futures intermingle (Phelps, 2005) The body’s quiet registrations, the things we have been moving too fast to notice, begin to become visible. And something in how we move through academic work starts, gently, to shift.

The body that shows up

This shift is not only personal. It touches something more fundamental about how we understand the academic body itself. Building on Dania and Ovens’ (2026) conceptualisation of academic bodies as lively material presences, continually producing and absorbing meaning through their encounters, I suggest that accelerated academic cultures privilege edited, high-functioning scholarly personas, rendering the lived body comparatively invisible. The body that walks into a seminar room is not a neutral delivery mechanism. It carries the morning’s difficult email, the tension from a conversation that didn’t go well, the particular exhaustion of a week that has asked too much. Students sense this, not consciously, perhaps, but in the quality of the encounter, just as we sense what they are carrying into the room with them. Within such conditions, VRJ creates a space in which the academic body can appear not as a polished performance but as a sensing and responsive presence.

Telling by hand is a way of letting that body back into view. Not to resolve the structural pressures shaping higher education – those remain, and individual practices cannot undo them. But within those pressures, VRJ may open small moments of freedom: spaces where experience can be explored rather than managed, where embodied forms of knowing can quietly reassert their place, and where the academic body can appear not as a performance to be sustained but as a presence to be inhabited.

Elizabet Kaitell is a Senior Lecturer in Learning and Teaching at Kingston University’s Learning and Teaching Enhancement Centre. She completed her doctorate at the University of Roehampton, where Visual Reflective Journaling emerged as part of her a/r/tographic methodology and sparked a curiosity that has continued to evolve since. She has a longstanding interest in embodied ways of knowing and ‘whole body selves’ in higher education.


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From ad hoc to constructive: the ABC levels of GenAI integration in business education

by Qianqian Chai and Xue Zhou

Introduction – the challenge of GenAI integration in business education

Since the release of ChatGPT, Generative Artificial Intelligence (GenAI) has rapidly entered higher education. Business schools, with their strong ties to industry and emphasis on applied skills, provide a particularly important setting for examining GenAI’s role in curriculum design. Yet, while adoption has expanded quickly, the educational outcomes of GenAI integration have not been consistent (Kurtz et al, 2024). Across cases, educators identified both benefits and risks, including engagement, skills development, and overreliance. This unevenness suggests that rather than reflecting a single trajectory of adoption, early practice appears to involve different approaches to integration. The central issue is not whether GenAI is used, but how different approaches shape outcomes.

This blog draws on our recent study of GenAI integration in business modules at a UK Russell Group university (Zhou et al, 2026). Through a qualitative analysis of 17 educator cases across 24 modules, we examined how GenAI was incorporated into curriculum design, and how different approaches were associated with distinct benefits and challenges. Using the lens of constructive alignment (Biggs, 1996), we identified three patterns of integration: ad hoc, blended, and constructive, which together form the ABC levels for understanding how GenAI is integrated into curriculum practice. We use these levels to explore why some approaches appear more educationally effective than others. In particular, this blog will offer research-informed insights into how GenAI can be integrated more effectively and sustainably in business higher education. While the cases are drawn from business education, the patterns identified and principles of constructive integration have wider relevance across disciplines where GenAI is increasingly embedded in curriculum design.

ABC levels of GenAI integration in the business curriculum

Our analysis identified three levels of GenAI integration: ad hoc, blended, and constructive. Table 1 outlines these distinctions across key dimensions.

Table 1 ABC levels of GenAI curriculum integration

Constructive integration represents a qualitatively different approach, grounded in constructive alignment, where intended learning outcomes, teaching activities, and assessment are deliberately designed to develop and evaluate students’ ability to use GenAI critically and effectively. At this level, GenAI is not an optional or supporting tool, but an integral component of disciplinary learning, with a clear pedagogical purpose and coherent role across the curriculum.

By contrast, ad hoc integration is characterised by occasional and isolated use, where GenAI is introduced as an optional or experimental tool without being planned into the broader curriculum design. Blended integration moves beyond this by incorporating GenAI into selected learning activities or tasks, giving it a more purposeful pedagogical role, but its use remains only partially embedded. Both approaches therefore fall short of the coherence and strategic alignment that define constructive integration.

The distinction between these patterns is therefore not simply a matter of more or less GenAI use, but of how GenAI is positioned within the curriculum: as an experiment, as a support, or as a capability to be deliberately developed. Although developed from business education contexts, this typology offers a lens that can be applied more broadly to understand how GenAI is positioned within different disciplinary curricula.

Why constructive integration matters

Across the cases, GenAI integration generated benefits and challenges across students, educators, and institutions. At the student level, reported benefits included stronger engagement, confidence, and employability-related skills, while the main risks centred on overreliance, inequality, ethical concerns, and ineffective outputs. For educators, benefits included efficiency gains, professional learning, and improved teaching performance, but these were accompanied by increased workload and the need to redesign activities and assessments. At the programme level, GenAI enhanced curriculum relevance but raised concerns about academic standards.

Figure 1 shows that these benefits and challenges were not distributed evenly across the three patterns of integration. Constructive integration displayed the strongest and broadest benefits, while ad hoc and blended approaches showed narrower gains alongside more exposed challenges. In other words, the issue is not whether GenAI brings value or risk, but how curriculum design shapes the balance between them.

Figure 1 Trade-offs of GenAI integration: challenges (red) vs benefits (green)

What makes constructive integration different is not the removal of challenge, but the stronger presence of educational value. In the study, constructively integrated cases were linked more clearly to student engagement, capability development, employability, and curriculum relevance because GenAI was embedded through aligned outcomes, activities, and assessment, rather than added on as a tool or support. Importantly, these cases also showed stronger educator development, including pedagogical reflection and confidence, despite workload pressures. This suggests constructive integration enhances both student outcomes and educator learning by embedding AI within coherent curriculum design.

How constructive integration is achieved

Table 2 presents examples from the modules in this study, showing how GenAI was constructively integrated into existing pedagogical strategies without requiring curriculum redesign.

Table 2 Constructive GenAI Integration into Existing Pedagogical Strategies

Taken together, the cases suggest several practical principles for integrating GenAI more coherently within the curriculum. These principles are not specific to business education, but reflect broader curriculum design considerations that can be adapted across disciplines with different pedagogical traditions.

  • Integration builds on existing pedagogical strategies: GenAI should be embedded within approaches already familiar to the discipline, such as project-based or simulation-based learning, without requiring curriculum redesign (Chugh et al, 2023).
  • Sharpen the role of GenAI by disciplinary purpose: In different contexts, GenAI supported strategic analysis, research and synthesis, reflective thinking, or data interpretation. Its value depends on alignment with module aims (Zhou & Milecka-Forrest, 2021).
  • Make AI use purposeful through assessment and evaluative tasks: In stronger cases, GenAI was connected to tasks that required students to interpret, justify, compare, or critique AI-supported outputs, rather than simply using AI to complete tasks (Biggs & Tang, 2010).
  • Support deeper student engagement through scaffolding: Structured guidance, such as prompting strategies, comparison activities, and reflective tasks, enabled more critical and purposeful use (Cukurova & Miao, 2024).

Overall, constructive integration is less about introducing new tools than about redesigning existing curriculum elements so that GenAI is meaningfully aligned with disciplinary learning.

Conclusion

The ABC levels developed in our study show that GenAI integration in business education does not follow a single trajectory but ranges from ad hoc and blended use to constructive integration. The key difference lies in approach: constructive integration embeds GenAI through aligned outcomes, activities, assessment, and scaffolding. The challenges observed across GenAI integration practices suggest an urgent shift from ad hoc GenAI integration toward strategic and constructive integration in business education. In this way, higher education can support students’ employability and capability development, strengthen educators’ professional and pedagogical confidence, and enable institutions to sustain coherent, future-facing curricula.

Dr Qianqian Chai is a Lecturer in Business and Management at Queen Mary University of London and Chair of the AI in Education Innovation Sub-committee in the School of the Arts. Her research focuses on AI in higher education, including curriculum design, academic integrity, and policy. q.chai@qmul.ac.uk

Professor Xue Zhou is a Professor in AI in Business Education and Dean of AI at the University of Leicester. Her research interests include digital literacy, digital technology adoption, cross-cultural adjustment, and online professionalism. xue.zhou@le.ac.uk


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Understanding complex ambiguous problems through the lens of Soft Systems Methodology

by Joy Garfield and Amrik Singh

As the future leaders of a society that is increasingly complex and challenging higher education students need a good grasp of social, political, economic and environmental issues and need to feel equipped to propose reasonable recommendations. This can seem a daunting prospect for anyone, let alone higher education students who may have little or no prior experience of working in these areas. Students need to understand the world view of the stakeholders and the what, how and whys of the situation being explored. What is the problem situation, how will we understand it, and why are we trying to understand it? Here we describe an approach successfully used in our postgraduate teaching at Aston Business School, UK.

Soft Systems Methodology (SSM) (Checkland, 1986) has been successfully used in many different contexts for complex problem-solving. With its seven-stage structure it provides a framework for structuring/framing wicked problems by initially thinking about what is happening in the real world from the point of view of different stakeholders. An idealised world without any constraints is then explored from different stakeholder perspectives so that different wants/needs for a new system can be considered. Students are encouraged to use empathetic discourse to understand the multiple perspectives of the stakeholders in the problem situation. The comparison between the real world and idealised worlds allows for an eventual accommodation of future ways forward.

Soft Systems Methodology is currently used to teach complex problem solving to postgraduate students at Aston. The module team have developed a group-based approach that has been found to produce a deeper understanding of concepts and yield better overall results, particularly given that students are mostly international postgraduate students. For most of the students their first language is not English, and they are new to complex problem-solving.

Teaching sessions are structured around the different stages of the Soft Systems Methodology. Group work is used so that students support one another in their learning of the concepts and then apply these individually to their chosen assessment topic. The UK criminal justice system is taken as an in-class example and students are asked to think about a particular complex area to focus on, eg overcrowding in prisons in a particular city. Terminology can be particularly complex and hard to grasp if your first language is not native English, so the language used to explain concepts is kept simple and a number of areas of scaffolding are used to help to support the learning.

The first task related to SSM involves students identifying the stakeholders and their power/interest in the complex situation. Students are then taught the concepts of a rich picture and they draw a rich picture as a group for their chosen problem situation using white board paper (example below). The rich picture itself enables students to understand the real world, stakeholder issues, conflicts, and relationships together with who interacts with the problem from outside of its boundary.  Students present their rich pictures to the wider group for formative feedback.

This helps with constructive feedback and a deeper understanding of the complex issue. The rich pictures may seem simple, but simplifying a complex problem is complex in itself! This helps students to understand and tease apart the complexities of the problem situation. The rich picture depicts the problem situation better than just making notes alone.

For the realisation of the idealised world, students put themselves in the shoes of the stakeholder.  This involves empathetic discourse whereby students interview one another about what they would want for a system, without taking into consideration any constraints from different stakeholder perspectives. Students are then able to expand these statements as a group to take into consideration the different aspects. From this, students construct a model which helps depict the transformation activities that the stakeholders wish to conduct to reach their desired output.

By gaining a better understanding of the real world from drawing the rich picture and thinking about an idealised world and possible transformation activities, students can then gain an understanding for the changes going forward.

Topics chosen by students for their assessment have included: housing refugees in the UK; online exams or in person exams at university; homelessness; impact of the pandemic on tourism; child marriages in India; a start up in France to reduce plastic packaging; finding the appropriate route for a railway between two cities in Germany. These are all complex and ambiguous problems that need to be understood before any potential solutions are made.

During the module students develop confidence in the application of SSM and come to a true understanding of the process of accommodating different stakeholder perspectives – especially when consensus is not always possible. What we understand from this journey is that there is no ‘one shoe fits all’ solution when understanding complex ambiguous problems.

Empathy enriches the SSM process by ensuring the human side of systems is as important as the technical side. It helps to create solutions that work not just in theory but in real, messy, human-centric environments. Empathetic discourse is very valuable to understand the voice of the stakeholders. What we have learned from the delivery of the module is that when complex ambiguous problems are human centric, then the solutions are human centric also.

Checkland, P (1986) Systems thinking, systems practice Chichester: Wiley

Dr Joy Garfield is a Senior Teaching Fellow and Director of Learning and Teaching for an academic department at Aston Business School, Aston University, UK.  Her subject discipline area is information systems, particularly systems modelling and complex problem solving. With just over 20 years of experience in academia, she has worked at a number of UK universities. Joy is a Senior Fellow of Advance HE and is currently an external examiner at Sheffield Hallam University and the University of Westminster. 

Dr Amrik Singh is a Senior Teaching Fellow at Aston University, UK. He has over 15 years of academic experience in Higher Education. He is also a Senior Fellow of the Advance HE, SFHEA. His teaching areas includes operations management, effective management consultancy, and business operations excellence. 


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What the experience of neurodivergent PhD students teaches us, and why it makes me angry

by Inger Mewburn

Recently, some colleagues and I released a paper about the experiences of neurodivergent PhD students. It’s a systematic review of the literature to date, which is currently under review, but available via pre-print here.

Doing this paper was an exercise in mixed feelings. It was an absolute joy to work with my colleagues, who knew far more about this topic than me and taught me (finally!) how to do a proper systematic review using Covidence. Thanks Dr Diana TanDr Chris EdwardsAssociate Professor Kate SimpsonAssociate Professor Amanda A Webster and Professor Charlotte Brownlow (who got the band together in the first place).

But reading each and every paper published about neurodivergent PhD students provoked strong feelings of rage and frustration. (These feelings only increased, with a tinge of fear added in, when I read of plans for the US health department to make a ‘list’ of autistic people?! Reading what is going on there is frankly terrifying – solidarity to all.) We all know what needs to be done to make research degrees more accessible. Make expectations explicit. Create flexible policies. Value diverse thinking styles. Implement Universal Design Principles… These suggestions appear in report after report, I’ve ranted on the blog here and here, yet real change remains frustratingly elusive. So why don’t these great ideas become reality? Here’s some thoughts on barriers that keep neurodivergent-friendly changes from taking hold.

The myth of meritocracy

Academia clings to the fiction that the current system rewards pure intellectual merit. Acknowledging the need for accessibility requires admitting that the playing field isn’t level. Many senior academics succeeded in the current system and genuinely believe “if I could do it, anyone can… if they work hard enough”. They are either 1) failing to recognise their neurotypical privilege, or 2) not acknowledging the cost of masking their own neurodivergence (I’ll get to this in a moment).

I’ve talked to many academics about things we could do – like getting rid of the dissertation – but too many of us are secretly proud of our own trauma. The harshness of the PhD has been compared to a badge of honour that we wear proudly – and expect others to earn.

Resource scarcity (real and perceived)

Universities often respond to suggestions about increased accessibility measures with budget concerns. The vibe is often: “We’d love to offer more support, but who will pay for it?”. However, many accommodations (like flexible deadlines or allowing students to work remotely) cost little, or even nothing. Frequently, the real issue isn’t resources but priorities of the powerful. There’s no denying universities (in Australia, and elsewhere) are often cash strapped. The academic hunger games are real. However, in the fight for resources, power dynamics dictate who gets fed and who goes without.

I wish we would just be honest about our choices – some people in universities still have huge travel budgets. The catering at some events is still pretty good. Some people seem to avoid every hiring freeze. There are consistent patterns in how resources are distributed. It’s the gaslighting that makes me angry. If we really want to, we can do most things. We have to want to do something about this.

Administrative inertia

Changing established processes in a university is like turning a battleship with a canoe paddle. Approval pathways are long and winding. For example, altering a single line in the research award rules at ANU requires approval from parliament (yes – the politicians actually have to get together and vote. Luckily we are not as dysfunctional in Australia as other places… yet). By the time a solution is implemented, the student who needed it has likely graduated – or dropped out. This creates a vicious cycle where the support staff, who see multiple generations of students suffer the same way, can get burned out and stop pushing for change.

The individualisation of disability

Universities tend to treat neurodivergence as an individual problem requiring individual accommodations rather than recognising systemic barriers. This puts the burden on students to disclose, request support, and advocate for themselves – precisely the executive function and communication challenges many neurodivergent students struggle with.

It’s akin to building a university with only stairs, then offering individual students a piggyback ride instead of installing ramps. I’ve met plenty of people who simply get so exhausted they don’t bother applying for the accommodations they desperately need, and then end up dropping out anyway.

Fear of lowering ‘standards’

Perhaps the most insidious barrier is the mistaken belief that accommodations somehow “lower standards.” I’ve heard academics worrying that flexible deadlines will “give some students an unfair advantage” or that making expectations explicit somehow “spoon-feeds” students.

The fear of “lowering standards” becomes even more puzzling when you look at how PhD requirements have inflated over time. Anyone who’s spent time in university archives knows that doctoral standards aren’t fixed – they’re constantly evolving. Pull a dissertation from the 1950s or 60s off the shelf and you’ll likely find something remarkably slim compared to today’s tomes. Many were essentially extended literature reviews with modest empirical components. Today, we expect multiple studies, theoretical innovations, methodological sophistication, and immediate publishability – all while completing within strict time limits on ever-shrinking funding.

The standards haven’t just increased; they’ve multiplied. So when universities resist accommodations that might “compromise standards,” we should ask: which era’s standards are we protecting? Certainly not the ones under which most people supervising today had to meet. The irony is that by making the PhD more accessible to neurodivergent thinkers, we might actually be raising standards – allowing truly innovative minds to contribute rather than filtering them out through irrelevant barriers like arbitrary deadlines or neurotypical communication expectations. The real threat to academic standards isn’t accommodation – it’s the loss of brilliant, unconventional thinkers who could push knowledge boundaries in ways we haven’t yet imagined.

Unexamined neurodiversity among supervisors

Perhaps one of the most overlooked barriers is that many supervisors are themselves neurodivergent but don’t recognise it or acknowledge what’s going on with them! In fact, since starting this research, I’ve formed a private view that you almost can’t succeed in this profession without at least a little neurospicey.

Academia tends to attract deep thinkers with intense focus on specific topics – traits often associated with autism (‘special interests’ anyone?). The contemporary university is constantly in crisis, which some people with ADHD can find provides the stimulation they need to get things done! Yet many supervisors have succeeded through decades of masking and compensating, often at great personal cost.

The problem is not the neurodivergence or the supervisor – it’s how the unexamined neurodivergence becomes embedded in practice, underpinned by an expectation that their students should function exactly as they do, complete with the same struggles they’ve internalised as “normal.”

I want to hold on to this idea for a moment, because maybe you recognise some of these supervisors:

  • The Hyperfocuser: Expects students to match their pattern of intense, extended work sessions. This supervisor regularly works through weekends on research “when inspiration strikes,” sending emails at 2am and expecting quick responses. They struggle to understand when students need breaks or maintain strict work boundaries, viewing it as “lack of passion.” Conveniently, they have ignored those couple of episodes of burn out, never considering their own work pattern might reflect ADHD or autistic hyper-focus, rather than superior work ethic.
  • The Process Pedant: Requires students to submit written work in highly specific formats with rigid attachment to particular reference styles, document formatting, and organisational structures. Gets disproportionately distressed by minor variations from their preferred system, focusing on these details over content, such that their feedback primarily addresses structural issues rather than ideas. I get more complaints about this than almost any other kind of supervision style – it’s so demoralising to be constantly corrected and not have someone genuinely engage with your work.
  • The Talker: Excels in spontaneous verbal feedback but rarely provides written comments. Expects students to take notes during rapid-fire conversational feedback, remembering all key points. They tend to tell you to do the same thing over and over, or forget what they have said and recommend something completely different next time. Can get mad when questioned over inconsistencies – suggesting you have a problem with listening. This supervisor never considers that their preference for verbal communication might reflect their own neurodivergent processing style, which isn’t universal. Couple this with a poor memory and the frustration of students reaches critical. (I confess, being a Talker is definitely my weakness as a supervisor – I warn my students in advance and make an effort to be open to criticism about it!).
  • The Context-Switching Avoider: Schedules all student meetings on a single day of the week, keeping other days “sacred” for uninterrupted research. Becomes noticeably agitated when asked to accommodate a meeting outside this structure, even for urgent matters. Instead of recognising their own need for predictable routines and difficulty with transitions (common in many forms of neurodivergence), they frame this as “proper time management” that students should always emulate. Students who have caring responsibilities suffer the most with this kind of inflexible relationship.
  • The Novelty-Chaser: Constantly introduces new theories, methodologies, or research directions in supervision meetings. Gets visibly excited about fresh perspectives and encourages students to incorporate them into already-developed projects. May send students a stream of articles or ideas completely tangential to their core research, expecting them to pivot accordingly. Never recognises that their difficulty maintaining focus on a single pathway to completion might reflect ADHD-related novelty-seeking. Students learn either 1) to chase butterflies and make little progress or 2) to nod politely at new suggestions while quietly continuing on their original track. The first kind of reaction can lead to a dangerous lack of progress, the second reaction can lead to real friction because, from the supervisor’s point of view, the student ‘never listens’. NO one is happy in these set ups, believe me.
  • The Theoretical Purist: Has devoted their career to a particular theoretical framework or methodology and expects all their students to work strictly within these boundaries. Dismisses alternative approaches as “methodologically unsound” or “lacking theoretical rigour” without substantive engagement. Becomes noticeably uncomfortable when students bring in cross-disciplinary perspectives, responding with increasingly rigid defences of their preferred approach. Fails to recognise their intense attachment to specific knowledge systems and resistance to integrating new perspectives may reflect autistic patterns of specialised interests, or even difficulty with cognitive flexibility. Students learn to frame all their ideas within the supervisor’s preferred language, even when doing so limits their research potential.

Now that I know what I am looking for, I see these supervisory dynamics ALL THE TIME. Add in whatever dash of neuro-spiciness is going on with you and all kinds of misunderstandings and hurt feelings result … Again – the problem is not the neurodivergence of any one person – it’s the lack of self reflection, coupled with the power dynamics that can make things toxic.

These barriers aren’t insurmountable, but honestly, after decades in this profession, I’m not holding my breath for institutional enlightenment. Universities move at the pace of bureaucracy after all.

So what do we do? If you’re neurodivergent, find your people – that informal network who “get it” will save your sanity more than any official university policy. If you’re a supervisor, maybe take a good hard look at your own quirky work habits before deciding your student is “difficult.” And if you’re in university management, please, for the love of research, let’s work on not making neurodivergent students jump through flaming bureaucratic hoops to get basic support.

The PhD doesn’t need to be a traumatic hazing ritual we inflict because “that’s how it was in my day.” It’s 2025. Time to admit that diverse brains make for better research. And for goodness sake, don’t put anyone on a damn list, ok?

AI disclaimer: This post was developed with Claude from Anthropic because I’m so busy with the burning trash fire that is 2025 it would not have happened otherwise. I provided the concept, core ideas, detailed content, and personal viewpoint while Claude helped organise and refine the text. We iteratively revised the content together to ensure it maintained my voice and perspective. The final post represents my authentic thoughts and experiences, with Claude serving as an editorial assistant and sounding board.

This blog was first published on Inger Mewburn’s  legendary website The Thesis Whisperer on 1 May 2025. It is reproduced with permission here.

Professor Inger Mewburn is the Director of Researcher Development at The Australian National University where she oversees professional development workshops and programs for all ANU researchers. Aside from creating new posts on the Thesis Whisperer blog (www.thesiswhisperer.com), she writes scholarly papers and books about research education, with a special interest in post PhD employability, research communications and neurodivergence.


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Becoming a professional services researcher in HE – making the train tracks converge

by Charlotte Verney

This blog builds on my presentation at the BERA ECR Conference 2024: at crossroads of becoming. It represents my personal reflections of working in UK higher education (HE) professional services roles and simultaneously gaining research experience through a Masters and Professional Doctorate in Education (EdD).

Professional service roles within UK HE include recognised professionals from other industries (eg human resources, finance, IT) and HE-specific roles such as academic quality, research support and student administration. Unlike academic staff, professional services staff are not typically required, or expected, to undertake research, yet many do. My own experience spans roles within six universities over 18 years delivering administration and policy that supports learning, teaching and students.

Traversing two tracks

In 2016, at an SRHE Newer Researchers event, I was asked to identify a metaphor to reflect my experience as a practitioner researcher. I chose this image of two train tracks as I have often felt that I have been on two development tracks simultaneously –  one building professional experience and expertise, the other developing research skills and experience. These tracks ran in parallel, but never at the same pace, occasionally meeting on a shared project or assignment, and then continuing on their separate routes. I use this metaphor to share my experiences, and three phases, of becoming a professional services researcher.

Becoming research-informed: accelerating and expanding my professional track

The first phase was filled with opportunities; on my professional track I gained a breadth of experience, a toolkit of management and leadership skills, a portfolio of successful projects and built a strong network through professional associations (eg AHEP). After three years, I started my research track with a masters in international higher education. Studying felt separate to my day job in academic quality and policy, but the assignments gave me opportunities to bring the tracks together, using research and theory to inform my practice – for example, exploring theoretical literature underpinning approaches to assessment whilst my institution was revising its own approach to assessing resits. I felt like a research-informed professional, and this positively impacted my professional work, accelerating and expanding my experience.

Becoming a doctoral researcher: long distance, slow speed

The second phase was more challenging. My doctoral journey was long, taking 9 years with two breaks. Like many part-time doctoral students, I struggled with balance and support, with unexpected personal and professional pressures, and I found it unsettling to simultaneously be an expert in my professional context yet a novice in research. I feared failure, and damaging my professional credibility as I found my voice in a research space.

What kept me going, balancing the two tracks, was building my own research support network and my researcher identity. Some of the ways I did this was through zoom calls with EdD peers for moral support, joining the Society for Research into Higher Education to find my place in the research field, and joining the editorial team of a practitioner journal to build my confidence in academic writing.

Becoming a professional services researcher: making the tracks converge

Having completed my doctorate in 2022, I’m now actively trying to bring my professional and research tracks together. Without a roadmap, I’ve started in my comfort-zone, sharing my doctoral research in ‘safe’ policy and practitioner spaces, where I thought my findings could have the biggest impact. I collaborated with EdD peers to tackle the daunting task of publishing my first article. I’ve drawn on my existing professional networks (ARC, JISC, QAA) to establish new research initiatives related to my current practice in managing assessment. I’ve made connections with fellow professional services researchers along my journey, and have established an online network  to bring us together.

Key takeaways for professional services researchers

Bringing my professional experience and research tracks together has not been without challenges, but I am really positive about my journey so far, and for the potential impact professional services researchers could have on policy and practice in higher education. If you are on your own journey of becoming a professional services researcher, my advice is:

  • Make time for activities that build your research identity
  • Find collaborators and a community
  • Use your professional experience and networks
  • It’s challenging, but rewarding, so keep going!

Charlotte Verney is Head of Assessment at the University of Bristol. Charlotte is an early career researcher in higher education research and a leader in within higher education professional services. Her primary research interests are in the changing nature of administrative work within universities, using research approaches to solve professional problems in higher education management, and using creative and collaborative approaches to research. Charlotte advocates for making the academic research space more inclusive for early career and professional services researchers. She is co-convenor of the SRHE Newer Researchers Network and has established an online network for higher education professional services staff engaged with research.


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Gaps in sustainability literacy in non-STEM higher education programmes

by Erika Kalocsányiová and Rania Hassan

Promoting sustainability literacy in higher education is crucial for deepening students’ pro-environmental behaviour and mindset (Buckler & Creech, 2014; UNESCO, 1997), while also fostering social transformation by embedding sustainability at the core of the student experience. In 2022, our group received an SRHE Scoping Award to synthesise the literature on the development, teaching, and assessment of sustainability literacy in non-STEM higher education programmes. We conducted a multilingual systematic review of post-2010 publications from the European Higher Education Area (EHEA), with the results summarised in Kalocsányiová et al (2024).

Out of 6,161 articles that we identified as potentially relevant, 92 studies met the inclusion criteria and are reviewed in the report. These studies involved a total of 11,790 participants and assessed 9,992 university programmes and courses. Our results suggest a significant growth in research interest in sustainability in non-STEM fields since 2017, with 75 studies published compared to just 17 in the preceding seven years. Our analysis also showed that Spain, the United Kingdom, Germany, Turkey, and Austria had the highest concentration of publications, with 25 EHEA countries represented in total. The 92 reviewed studies were characterised by high methodological diversity: nearly half employed quantitative methods (47%), followed by qualitative studies (40%) and mixed methods research (13%). Curriculum assessments using quantitative content analysis of degree and course descriptors were among the most common study types, followed by surveys and intervention or pilot studies. Curriculum assessments provided a systematic way to evaluate the presence or absence of sustainability concepts within curricula at both single HE institutions and in comparative frameworks. However, they often captured only surface-level indications of sustainability integration into undergraduate and postgraduate programmes, without providing evidence on actual implementation and/or the effectiveness of different initiatives. Qualitative methods, including descriptive case studies and interviews that focused on barriers, challenges, implementation strategies, and the acceptability of new sustainability literacy initiatives, made up 40% of the current research. Mixed methods studies accounted for 13% of the reviewed articles, often applying multiple assessment tools simultaneously, including quantitative sustainability competency assessment instruments combined with open-ended interviews or learning journals.

In terms of disciplines, Economics, Business, and Administrative Studies held the largest share of reviewed studies (26%), followed by Education (23%). Multiple disciplines accounted for 22% of the reviewed publications, reflecting the interconnected nature of sustainability. Finance and Accounting contributed only 6%, indicating a need for further research. Similarly, Language and Linguistics, Mass Communication and Documentation, and Social Sciences collectively represented only 12% of the reviewed studies. Creative Arts and Design with just 2% was also a niche area. Although caution should be exercised when drawing conclusions from these results, they highlight the need for more research within the underrepresented disciplines. This in turn can help promote awareness among non-STEM students, stimulate ethical discussions on the cultural dimensions of sustainability, and encourage creative solutions through interdisciplinary dialogue.

Regarding factors and themes explored, the studies focused primarily on the acquisition of sustainability knowledge and competencies (27%), curriculum assessment (23%), challenges and barriers to sustainability integration (10%), implementation and evaluation research (10%), changes in students’ mindset (9%), key competences in sustainability literacy (5%), and active student participation in Education for Sustainable Development (5%). In terms of studies discussing acquisition processes, key focus areas included the teaching of Sustainable Development Goals, awareness of macro-sustainability trends, and knowledge of local sustainability issues. Studies on sustainability competencies focussed on systems thinking, critical thinking, problem-solving skills, ethical awareness, interdisciplinary knowledge, global awareness and citizenship, communication skills, and action-oriented mindset. These competencies and knowledge, which are generally considered crucial for addressing the multifaceted challenges of sustainability (Wiek et al., 2011), were often introduced to non-STEM students through stand-alone lectures, workshops, or pilot studies involving new cross-disciplinary curricula.

Our review also highlighted a broad range of pedagogical approaches adopted for sustainability teaching and learning within non-STEM disciplines. These covered case and project-based learning, experiential learning methods, problem-based learning, collaborative learning, reflection groups, pedagogical dialogue, flipped classroom approaches, game-based learning, and service learning. While there is strong research interest in the documentation and implementation of these pedagogical approaches, few studies have so far attempted to assess learning outcomes, particularly regarding discipline-specific sustainability expertise and real-world problem-solving skills.

Many of the reviewed studies relied on single-method approaches, meaning valuable insights into sustainability-focused teaching and learning may have been missed. For instance, studies often failed to capture the complexities surrounding sustainability integration into non-STEM programs, either by presenting positivist results that require further contextualisation or by offering rich context limited to a single course or study group, which cannot be generalised. The assessment tools currently used also seemed to lack consistency, making it difficult to compare outcomes across programmes and institutions to promote best practices. More robust evaluation designs, such as longitudinal studies, controlled intervention studies, and mixed methods approaches (Gopalan et al, 2020; Ponce & Pagán-Maldonado, 2015), are needed to explore and demonstrate the pedagogical effectiveness of various sustainability literacy initiatives in non-STEM disciplines and their impact on student outcomes and societal change.

In summary, our review suggests good progress in integrating sustainability knowledge and competencies into some core non-STEM disciplines, while also highlighting gaps. Based on the results we have formulated some questions that may help steer future research:

  • Are there systemic barriers hindering the integration of sustainability themes, challenges and competencies into specific non-STEM fields?
  • Are certain disciplines receiving disproportionate research attention at the expense of others?
  • How do different pedagogical approaches compare in terms of effectiveness for fostering sustainability literacy in and across HE fields?
  • What new educational practices are emerging, and how can we fairly assess them and evidence their benefits for students and the environment?

We also would like to encourage other researchers to engage with knowledge produced in a variety of languages and educational contexts. The multilingual search and screening strategy implemented in our review enabled us to identify and retrieve evidence from 25 EHEA countries and 24 non-English publications. If reviews of education research remain monolingual (English-only), important findings and insights will go unnoticed hindering knowledge exchange, creativity, and innovation in HE.

Dr. Erika Kalocsányiová is a Senior Research Fellow with the Institute for Lifecourse Development at the University of Greenwich, with research centering on public health and sustainability communication, migration and multilingualism, refugee integration, and the implications of these areas for higher education policies.

Rania Hassan is a PhD student and a research assistant at the University of Greenwich. Her research centres on exploring enterprise development activities within emerging economies. As a multidisciplinary and interdisciplinary researcher, Rania is passionate about advancing academia and promoting knowledge exchange in higher education.


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Reflecting on five years of feedback research and practice: progress and prospects

by Naomi Winstone and David Carless

Over the past few years, feedback research and practice in higher education have experienced sustained research interest and significant advancements. These developments have been propelled by a deeper understanding of student responses to feedback, the impact of cultural and sociomaterial factors, and the affordances and challenges posed by digital assessment and feedback methods. In 2019, we published a book in the SRHE series titled Designing Effective Feedback Processes in Higher Education: A Learning-Focused Approach. Five years later, we find it pertinent to reflect on the changes in research, practice, and discourse surrounding feedback processes in higher education since the book’s release.

Shifting paradigms in feedback processes

The book aimed to achieve two primary objectives: to present findings from the SRHE-funded ‘feedback cultures’ project and to synthesise evidence on feedback processes that prioritise student learning – what we called learning-focused feedback. This evidence was then translated into practical guidance and stimulus for reflection. A core distinction made in the book was between an ‘old paradigm’, characterized by the one-way transmission of feedback comments from educators to students, and a ‘new paradigm’, which emphasises student learning through active engagement with feedback processes of different forms, including peer feedback, self-feedback and automated feedback.

The impact of recent developments

The past five years have seen seismic shifts affecting feedback processes. The COVID-19 pandemic demonstrated the feasibility of alternative approaches to assessment and feedback, debunking many myths about insurmountable constraints. It brought issues of relationality and social presence to the forefront. Additionally, the launch of ChatGPT in November 2022 sparked debates on the distinct value of human involvement in feedback processes. Concurrently, higher education has grappled with sector-wide challenges, such as the devaluation of tuition fees in the UK and the intensification of the consumer-provider relationship.

Significant developments in feedback research and practice

Since 2019, feedback research and practice have evolved significantly. Two developments stand out to us as particularly impactful:

1. The ongoing boom of interest in feedback literacy

Feedback literacy research has become a fast-growing trend within research into feedback in higher education. The basis of feedback literacy is that students need a set of competencies which enable them to make the most of feedback opportunities of different kinds. And for students to develop these competencies, teachers need to design opportunities for students to generate, make sense of and use a variety of feedback inputs from peers, the self, teachers, or automated systems.

Student feedback literacy includes the ability to appreciate and judge the value of feedback inputs of different forms. This attribute remains relevant to both human and non-human feedback exchanges. Sometimes feedback inputs are off-target or inaccurate, so responsibility lies with the learner in using information prudently to move work forward. This is particularly pertinent in terms of inputs or feedback from generative AI (GenAI) to which we turn next. Judging the value and accuracy of GenAI inputs, and deciding what further probing or verifying is needed become important learning strategies.

2. Challenges and affordances of GenAI

The potential impact of technological disruption is often overestimated. However, the advent of ChatGPT and other large language models (LLMs) has undeniably generated both excitement and anxiety. In higher education, while assessment design has been the primary concern, discussions around feedback have also intensified.

Given the escalating and unsustainable costs of teaching in higher education, AI is sometimes seen as a panacea. Providing feedback comments – a time-consuming task for academics – could be outsourced to GenAI, theoretically freeing up time for other activities such as teaching, administration, or research. However, we caution against this approach. The mere provision of feedback comments, regardless of their origin, epitomises an old paradigm practice. As argued in our book, a process-oriented approach to feedback means that comments alone do not constitute feedback; they are merely inputs into a feedback process. Feedback occurs only when students engage with and act upon these comments.

Nevertheless, AI offers potential benefits for new paradigm feedback practices. A potential benefit of GenAI feedback is that it can be provided at a time when students need it. And if GenAI can assist educators in drafting feedback comments, it could free up time for more meaningful engagement with students, such as facilitating the implementation of feedback, supporting peer dialogue, and enhancing evaluative expertise. GenAI can also help students generate feedback on their own work, thereby developing their own evaluative judgement. In short, GenAI may not be harmful to feedback processes if we hold true to the principles of new paradigm learning-focused approaches we presented in our book.

Looking ahead: future directions in feedback research and practice

What might the next five years hold for feedback research and practice? Feedback literacy is likely to remain a key research theme because without feedback literacy it is difficult for both teachers and students to derive benefits and satisfaction from feedback processes. The potential and pitfalls of GenAI as a feedback source is likely to be a heavily populated research field. Methodologically, we anticipate a shift towards more longitudinal studies and a greater focus on behavioural outcomes, acknowledging the complexity of feedback impacts. These can be investigated over long-term durations as well as short-term ones because the benefits of complex, higher-order feedback often take time to accrue. As researchers, we are privileged to be part of a dynamic international community, working within a rapidly evolving policy and practice landscape. The field abounds with questions, challenges, and opportunities for exploration. We are excited to see what developments the future holds.

Naomi Winstone is a cognitive psychologist specialising in the processing and impact of instructional feedback, and the influence of dominant discourses of assessment and feedback in policy and practice on the positioning of educators and students in feedback processes. Naomi is Professor of Educational Psychology and Director of the Surrey Institute of Education at the University of Surrey, UK. She is also an Honorary Professor in the Centre for Research in Assessment and Digital Learning (CRADLE) at Deakin University, Australia. Naomi is a Principal Fellow of the Higher Education Academy and a UK National Teaching Fellow.

David Carless works as a Professor at the Faculty of Education, University of Hong Kong, and is Head of the Academic Unit SCAPE (Social Contexts and Policies in Education). He is one of the pioneers of feedback literacy research and is listed as a top 0.1% cited researcher in the Stanford top 2% list for social sciences. His books include Designing effective feedback processes in higher education: A learning-focused approach, by Winstone and Carless, 2019 published by Routledge. He was the winner of a University Outstanding Teaching Award in 2016. The latest details of his work are on his website: https://davidcarless.edu.hku.hk/.


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My Marking Life: The Role of Emotional Labour in delivering Audio Feedback to HE Students

by Samantha Wilkinson

Feedback has been heralded the most significant single influence on student learning and achievement (Gibbs and Simpson, 2004). Despite this, students critique feedback for being unfit for purpose, considering that it does not help them clarify things they do not understand (Voelkel and Mello, 2014).

Despite written feedback being the norm in Higher Education, the literature highlights the benefit of audio feedback. King et al (2008) contend that audio feedback is often evaluated by students as being ‘richer’ than other forms of feedback.

Whilst there is a growing body of literature evaluating audio feedback from the perspective of students, the experiences of academics providing audio feedback have been explored less (Ekinsmyth, 2010). Sarcona et al (2020) is a notable exception, exploring the instructor perspective, albeit briefly. The authors share how some lecturers in their study found it quick and easy to provide audio feedback, and that they valued the ability to indicate the tone of their feedback. Other lecturers, however, stated how they had to type the notes first to remember what they wanted to say, and then record these for the audio feedback, and thus were doing twice as much work.

Whilst the affectual impact of feedback on students has been well documented in the literature (eg McFarlane and Wakeman, 2011), there is little in the academic literature on the affectual impact of the feedback process on markers (Henderson-Brooks, 2021). Whilst not specifically related to audio feedback, Spaeth (2018) is an exception, articulating that emotional labour is a performance when educators seek to balance the promotion of student learning (care) with the pressures for efficiency and quality control (time). Spaeth (2018) argues that there is a lack of attention directed towards the emotional investment on the part of colleagues when providing feedback.

Here, I bring my voice to this less explored side by exploring audio feedback as a performance of emotional labour, based on my experience of trialling of audio feedback as a means of providing feedback to university students through Turnitin on the Virtual Learning Environment. This trial was initiated by colleagues at a departmental level as a possible means of addressing the National Student Survey category of ‘perception of fairness’ in relation to feedback. I decided to reflect on my experience of providing audio feedback as part of a reflective practice module ‘FLEX’ that I was undertaking at the time whilst working towards my Masters in Higher Education.

When providing audio feedback, I felt more confident in the mark and feedback I awarded students, when compared to written feedback. I felt my feedback was less likely to be misinterpreted. This is because, when providing audio feedback, I simultaneously scrolled down the script, using it as an oral catalyst. I considered my audio feedback included more examples than conventional written feedback to illustrate points I made. This overcomes some perceived weaknesses of written feedback: that it is detached from the students’ work (McFarlane and Wakeman, 2011).

In terms of my perceived drawbacks of audio feedback, whilst some academics have found audio feedback to be quicker to produce than written feedback, I found audio feedback was more time-consuming than traditional means; a mistake in the middle of a recording meant the whole recording had to be redone. I toyed with the idea of keeping mistakes in, thinking they would make me appear more human. However, I decided to restart the recording to appear professional. This desire to craft a performance of professionalism may be related to my positionality as a fairly young, female, academic with feelings of imposter syndrome.

I work on compressed hours, working longer hours Monday-Thursday. Working in this way, I have always undertaken feedback outside of core hours, in the evening, due to the relative flexibility of providing feedback (in comparison to needing to be in person at specific times for teaching). I typically have no issue with this. However, providing audio feedback requires a different environment in comparison to providing written feedback:

Providing audio feedback in the evenings when my husband is trying to get our two children to sleep, and with two dogs excitedly scampering around is stressful. I take myself off to the bedroom and sit in bed with my dressing gown on, for comfort. Then I suddenly think how horrified students may be if they knew this was the reality of providing audio feedback. I feel like I should be sitting at my desk in a suit! I know they can’t see me when providing audio feedback, but I feel how I dress may be perceived to reflect how seriously I am taking it. (Reflective diary)                     

I work in an open plan office, with only a few private and non-soundproof pods, so providing audio feedback in the workspace is not easy. Discussing her ‘marking life’, Henderson-Brooks (2021:113) notes the need to get the perfect environment to mark in: “so, I get the chocolates (carrots nowadays), sharpen the pens (warm the screen nowadays), and warn my friends and relatives (no change nowadays) – it is marking time”. Related to this, I would always have a cup of tea (and Diet Coke) to hand, along with chocolate and crisps, to ‘treat’ myself, and make the experience more enjoyable.

When providing feedback, I felt pressure not only to make the right kind of comments, but also in the ‘correct’ tone, as I reflect below:

I feel a need to be constantly 100% enthusiastic. I am worried if I sound tired students may think I was not concentrating enough marking their assessment; if I sound low mood that I am disappointed with them; or sounding too positive that it does not match their mark. (Reflective diary)

I found it emotionally exhausting having to perform the perfect degree of enthusiasm, which I individually tailored to each student and their mark. This is confounded by the fact that I have an autoimmune disease and associated chronic fatigue which means I get very tired and have little energy. Consequently, performing my words / voice / tone is particularly onerous, as is sitting for long periods of time when providing feedback. Similarly, Ekinsmyth (2010) says that colleagues in her study felt a need to be careful about the words used in, and the tone of, audio feedback. This was exemplified when a student had done particularly well, or had not passed the assignment.

Emotions are key to the often considered mundane task of providing assignment feedback to students (Henderson-Brooks, 2021).  I have highlighted worries and anxieties when providing audio feedback, related to the emotional labour required in performing the ‘correct’ tone; saying appropriate words; and creating an appropriate environment and atmosphere for delivering audio feedback. I recommend that university colleagues wishing to provide audio feedback to students should:

  1. Publicise to students the purpose of audio feedback so they are more familiar with what to expect and how to get the most out of this mode of feedback. This may alleviate some of the worries of colleagues regarding how to perform for students when providing audio feedback.
  2. Deliver a presentation to colleagues with tips on how to successfully provide audio feedback. This may reduce the worries of colleagues who are unfamiliar with this mode of feedback.
  3. Undertake further research on the embodied, emotional and affective experiences of academics providing audio feedback, to bring to the fore the underexplored voices of assessors, and assist in elevating the status of audio feedback beyond being considered a mere administrative task.

Samantha Wilkinson is a Senior Lecturer in Childhood and Youth Studies at Manchester Metropolitan University. She is a Doctoral College Departmental Lead for PhDs in Education. Prior to this, she was a Lecturer in Human Geography at the same institution. Her research has made contributions regarding the centrality of care, friendship, intra and inter-generational relationships to young people’s lives. She is also passionate about using autoethnography to bring to the fore her experiences in academia, which others may be able to relate to. Twitter handle:@samanthawilko


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Doctoral progress reviews: managing KPIs or developing researchers?

by Tim Clark

All doctoral students in the UK are expected to navigate periodic, typically annual, progress reviews as part of their studies (QAA, 2020). Depending on the stage, and the individual institutional regulations, these often play a role in determining confirmation of doctoral status and/or continuation of studies. Given that there were just over 100,000 doctoral students registered in the UK in 2021 (HESA, 2022), it could therefore be argued that the progress review is a relatively prominent, and potentially high stakes, example of higher education assessment.  However, despite this potential significance, guidance relating to doctoral progress reviews is fairly sparse, institutional processes and terminology reflect considerable variations in approach, empirical research to inform design is extremely limited (Dowle, 2023) and perhaps most importantly, the purpose of these reviews is often unclear or contested.

At the heart of this lack of clarity appears to be a tension surrounding the frequent positioning of progress reviews as primarily institutional tools for managing key performance indicators relating to continuation and completion, as opposed to primarily pedagogical tools for supporting individual students learning (Smith McGloin, 2021). Interestingly however, there is currently very little research regarding effectiveness or practice in relation to either of these aspects. Yet, there is growing evidence to support an argument that this lack of clarity regarding purpose may frequently represent a key limitation in terms of engagement and value (Smith McGloin, 2021, Sillence, 2023; Dowle, 2023). As Bartlett and Eacersall (2019) highlight, the common question is ‘why do I have to do this?’

As a relatively new doctoral supervisor and examiner, with a research interest in doctoral pedagogy, in the context of these tensions, I sought to use a pedagogical lens to explore a small group of doctoral students’ experiences of navigating their progress review. My intention for this blog is to share some learning from this work, with a more detailed recent paper reporting on the study also available here (Clark, 2023). 

Methods and Approach

This research took place in one post-1992 UK university, where progress assessment consisted of submission of a written report, followed by an oral examination or review (depending on the stage). These progress assessments are undertaken by academic staff with appropriate expertise, who are independent of the supervision team. This was a small-scale study, involving six doctoral students, who were all studying within the humanities or social sciences. Students were interviewed using a semi-structured narrative ‘event-focused’ (Jackman et al, 2022) approach, to generate a rich narrative relating to their experience of navigating through the progress review as a learning event.

In line with the pedagogical focus, the concept of ‘assessment for learning’ was adopted as a theoretical framework (Wiliam, 2011). Narratives were then analysed using an iterative ‘visit and revisit’ (Srivastava and Hopwood, 2009) approach. This involved initially developing short vignettes to consider students’ individual experiences before moving between the research question, data and theoretical framework to consider key themes and ideas.

Findings

The study identified that the students understood their doctoral progress reviews as having significant potential for supporting their learning and development, but that specific aspects of the process were understood to be particularly important. Three key understandings arose from this: firstly, that the oral ‘dialogic’ component of the assessment was seen as most valuable in developing thinking, secondly, that progress reviews offered the potential to reframe and disrupt existing thinking relating to their studies, and finally, that progress reviews have the potential to play an important role in developing a sense of autonomy, permission and motivation.

In terms of design and practice, the value of the dialogic aspect of the assessment was seen as being in its potential to extend thinking through the assessor, as a methodological and disciplinary ‘expert’, introducing invitational, coaching format, questions to provoke reflection and provide opportunities to justify and explore research decisions. When this approach was taken, students recalled moments where they were able to make ‘breakthroughs’ in their thinking or where they later realised that the discussion was significant in shaping their future research decisions. Alongside this, a respectful and supportive approach was viewed as important in enhancing psychological safety and creating a sense of ownership and permission in relation to their work:

“I think having that almost like mentoring, which is like a mini mentoring or mini coaching session, in these examination spots is just really helpful”

“I’m pootling along and it’s going okay and now this bombshell’s just dropped, but it was helpful because, yeah, absolutely it completely shifted it.”

“It’s my study… as long as I can justify academically and back it up. Why I’ve chosen to do what I’ve done then that’s okay.” 

Implications

Clearly this is a small-scale study, with a relatively narrow disciplinary focus, however its value is intended to lie in its potential to provoke consideration of progress reviews as tools for teaching, learning and researcher development, rather than to assert any generalisable understanding for practice.

This consideration may include questions which are relevant for research leaders, supervisors and assessors/examiners, and for doctoral students. Most notably: is there a shared understanding of the purpose of doctoral progress reviews and why we ‘have’ to do it? And how does this purpose inform design, practice and related training within our institutions?

Within this study it was evident that in this context the role of dialogic assessment was significant, and given the additional resource required to protect or introduce such an approach, this may be an aspect which warrants further exploration and investigation to support decision making. In addition, it also framed the perceived value of the careful construction of questions, which invite and encourage reflection and learning, as opposed to seeking solely to ‘test’ this.

Dr Timothy Clark is Director of Research and Enterprise for the School of Education at the University of the West of England, Bristol. His research focuses on aspects of doctoral pedagogy and researcher development.


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The ongoing saga of REF 2028: why doesn’t teaching count for impact?

by Ian McNay

Surprise, surprise…or not.

The initial decisions on REF 2028 (REF 2028/23/01 from Research England et al), based on the report on FRAP – the Future Research Assessment Programme – contain one surprise and one non-surprise among nearly 40 decisions. To take the second first, it recommends, through its cost analysis report, that any future exercise ‘should maintain continuity with rules and processes from previous exercises’ and ‘issue the REF guidance in a timely fashion’ (para 82). It then introduces significant discontinuities in rules and processes, and anticipates giving final guidance only in winter 2024-5, when four years (more than half) of the assessment period will have passed.

The second surprise is, finally, the open recognition of the negative effects on research culture and staff careers of the REF and its predecessors (para 24), identified by respondents to the FRAP consultation about the 2028 exercise. For me, this new humility is a double edged sword: many of the defects identified have been highlighted in my evidence-based articles (McNay, 2016, McNay, 2022), and, indeed, by the report commissioned by HEFCE (McNay, 1997) on the impact on individual and institutional behaviour of the 1992 exercise:

  • Lack of recognition of a diversity of excellences including work on local or regional issues because of the geographical interpretation of national/international excellence (para 37). Such local work involves different criteria of excellence, perhaps recognised in references to partnership and wider impact.
  • The need for outreach beyond the academic community, such as a dual publication strategy – one article in an academic journal matched with one in a professional journal in practical language and close to utility and application of a project’s findings.
  • Deficient arrangements for assessing interdisciplinary work (paras 60 and 61)
  • The need for a different, ‘refreshed’, approach to appointments to assessment panels (para 28)
  • The ‘negative impact on the authenticity and novelty of research, with individuals’ agendas being shaped by perceptions of what is more suitable to the exercise: favouring short-term inputs and impacts at the expense of longer-term projects…staying away from areas perceived to be less likely to perform well’. ‘The REF encourages …focus on ‘exceptional’ impacts and those which are easily measurable, [with] researchers given ‘no safe space to fail’ when it came to impact’.
  • That last negative arises in major part because of the internal management of the exercise, yet the report proposes an even greater corporate approach in future. The evidence-based articles and reports, and innovative processes and artefacts that arise from our research will have a reduced contribution to published assessments on the quality of research, though there is encouragement of a wider diversity of research outputs. More emphasis will be placed on institutional and unit ‘culture’ (para 28), so individuals disappear, uncoupled from consideration of culture-based quality. That culture is controlled by management; I spent several years as a Head of School trying to protect and develop further a collegial enterprise culture, which encouraged research and innovative activities in teaching. The senior management wanted a corporate bureaucracy approach with targets and constant monitoring, which work at Exeter has shown leads to lower output, poorer quality and higher costs (Franco-Santos et al, 2014).

At least 20 per cent of the People, Culture and Environment sub-profile for a unit will be based on an assessment of the Institutional Level (IL) culture, and this element will make up 25 per cent of a unit’s overall quality profile, up from 15 percent from 2021. This proposed culture-based approach will favour Russell Group universities even further – their accumulated capital has led to them outscoring other universities on ‘environment’ in recent exercises, even when the output scores have been the other way round. Elizabeth Gadd, of Loughborough, had a good piece on this issue in Wonkhe on 28 June 2023. The future may see research-based universities recruiting strongly in the international market to provide subsidy to research from higher student fees, leaving the rest of us to offer access and quality teaching to UK students on fees not adjusted for inflation. Some recognition of excellent research in unsupportive environment would be welcome, as would reward for improvement as operated when the polytechnics and colleges joined research assessment exercises.

The culture of units will be judged by the panels – a separate panel will assess IL cultures – and will be based on a ‘structured statement’ from the management, assessing itself, plus a questionnaire submission. I have two concerns here: can academic panels competent to peer-assess research also judge the quality and contribution of management; and, given behaviours in the first round of impact assessment (Oancea, 2016), how far can we rely on the integrity of these statements?

The sub-profile on Contribution to Knowledge and Understanding sub-profile will make up 50 per cent of a unit’s quality profile – down from 60 per cent last time and 65 per cent in 2014. At least 10 per cent will be based on the structured statement, so Outputs – the one thing that researchers may have a significant role in – are down to only 40 per cent, at most, of what is meant by overall research quality (the FRAP International Committee recommended 33 per cent). Individuals will not be submitted. HESA data will be used to quantify staff and the number of research outputs that can be submitted will be an average of 2.5 per FTE. There is no upper limit for an individual, and staff with no outputs can be included, as well as those who support research by others, or technicians who publish. Research England (and this is mainly about England; the other three countries may do better and certainly will do things differently) is firm that the HESA numbers will not be used as the volume multiplier for funding (still a main purpose of the REF), though it is not clear where that will come from – Research England is reviewing their approach to strategic institutional research funding. Perhaps staff figures submitted to HESA will have an indicator of individuals’ engagement with research.

Engagement and Impact broadens the previous element of simply impact. Our masters have discovered that early engagement of external partners in research, and 6 months attachment at 0.2 contract level allows them to be included, and enhances impact. Wow! Who knew? The work that has impact can be of any level to avoid the current quality level designations stopping local projects being acknowledged.

The three sub-profiles have fuzzy boundaries and overlap. Not just in a linear connection – environment, output, impact – but, because, as noted above, for example, engagement comes from the external environment but becomes part of the internal culture. It becomes more of a Venn diagram, that allows the adoption of an ‘holistic’ approach to ‘responsible research assessment’. We wait to see what those both mean in practice.

What is clear in that holistic approach is that research has nothing to do with teaching, and impact on teaching still does not count. That has created an issue for me in the past since my research feeds (not leads) my teaching and vice versa. I use discovery learning and students’ critical incidents as curriculum organisers, and they produce ‘evidence’ similar to that gathered through more formal interview and observation methods. An example. I recently led a workshop for a small private HEI on academic governance. There was a newly appointed CEO. I used a model of institutional and departmental cultures which influence decision making and ‘governance’ at different levels. That model, developed to help my teaching is now regarded by some as a theoretical framework and used as a basis for research. Does it therefore qualify for inclusion in impact? The session asked participants to consider the balance among four cultures of collegial, bureaucratic, corporate, entrepreneurial, relating to the degrees of central control of policy development and of policy delivery (McNay, 1995).  It then dealt with some issues more didactically, moving to the concept of the learning organisation where I distributed a 20 item questionnaire, (not yet published, but available on request for you to use) to allow scoring out of 10 per item, of behaviours relating to capacity to change, innovate and learn, leading to improved quality. Only one person scored more than 100 in total and across the group the modal score was in the low 70s, or just over 35%. That gave the new CEO an agenda with some issues more easily pursued than others and scores indicating levels of concern and priority. So my role moved into consultancy. There will be impact, but is the research base sufficient, was it even research, and does the use of teaching as a research transmission process (Boyer, 1990) disqualify it?

I hope this shows that the report contains a big agenda, with more to come. SRHE members need to consider what it means to them, but also what it means for research into institutions and departments to help define culture and its characteristics. I will not be doing it, but I hope some of you will. We need to continue to provide an evidence base to inform decisions even if it takes up to 20 years for the findings to have an impact.

SRHE itself might say several things in response to the report:

  • welcome the recognition of previous weaknesses, but note that a major one has not been recorded: the impact of RAE/REF on teaching, when excellent research has gained extra money, but excellent teaching has not, leading to an imbalancing of effort within the HE system. The research-teaching nexus also needs incorporating into the holistic view of research. Teaching is a major element in dissemination of research (Boyer, 1990) and so a conduit to impact, and should be recognised as such. That is because the relationship between researcher/teacher and those gaining new knowledge and understanding is more intimate and interactive than a reader of an article experiences. Discovery learning, drawing on learners’ experiences in CPD programmes can be a source of evidence, enhancing the knowledge and understanding of the researcher to incorporate in further work and research publications.
  • welcome the commitment to more diversity of excellences. In particular, welcome the commitment to recognise local and regionally directed research and its significant impact. The arguments about intimacy and interaction apply here, too. Research in partnership is typical of such work and different criteria are needed to evaluate excellence in this context.
  • welcome the intention to review panel membership to reflect the wider view of research now to be adopted.
  • urge an earlier clarification on panel criteria to avoid another 18 months, at least, trying, without clarity or guidance, to do work that will fit with the framework of judgement within which that work will be judged.
  • be wary of losing the voice of the researchers in the reduction of emphasis on research and its outputs in favour of presentations on corporate culture.

References

McNay, I (1997) The Impact of the 1992 RAE on Institutional and Individual Behaviour in English HE: the evidence from a research project Bristol HEFCE