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Enhancing student learning through innovative scholarship

by Jenny Burnham, Matt Mears, Kennedy Offor, Jane Woodin and Tim Herrick

This blog is a report on the Enhancing Student Learning Through Innovative Scholarship (ESLTIS) conference held at the University of Sheffield in July 2026. The conference involved participants from 24 different universities and nearly 50 sessions.

When higher education faces real pressure, coming together to reimagine how we teach and learn is more than just professional development – it is a vital act of community. In July 2026, 97 educators, researchers, and student partners gathered at the University of Sheffield for two energising days at the Enhancing Student Learning Through Innovative Scholarship (ESLTIS) conference.

Across two inspiring keynotes, 39 talks and oral bites, and seven hands-on workshops, the atmosphere was filled with practical optimism, bold experimentation, and genuine connection. At a time when financial constraints weigh heavily across the sector, ESLTIS 2026 proved that an exceptional, high-impact academic gathering does not have to cost the earth. By keeping delegate fees as low as possible without compromising on quality, the conference demonstrated that transformative scholarship can remain accessible, inclusive, and deeply rewarding for everyone involved.

To capture the spirit of those two days, this blog brings together the key ideas, personal reflections, and practical insights that defined the event. We explore the overarching themes shaping the sector, followed by firsthand perspectives from our keynote speaker, insights from a session chair navigating AI in the curriculum, and the invaluable contributions of our student partners.

Key Conference Themes

With the tone of ‘Dealing with Disruption’ set by Professor Sam Nolan, the conference explored how learning and teaching in higher education is responding to and being shaped by the outside influences bringing both adversity and opportunity into the sector. A recurrent theme of innovations drawing on AI technology encompassed support for diverse student needs, its use in assessment, and as a teaching aid. The conference mirrored the acknowledgement of the evolving higher education demographic, with discussions covering inclusivity, decolonisation, engagement, identity, and self-worth, with structured gap-filling support, and breaking down of participation barriers, busting out of disciplinary silos to support students’ belonging and wellbeing. Wide-ranging talks covered: curriculum both hidden and carefully designed, strategies to augment students’ development of their skills and their readiness for their post-graduation world, and experiences of collaboration with and between students, staff, and professional services teams

Underpinning it all was the continuing ethos of the ESLTIS community that recognises and celebrates the education-focus of academia, exploring this with talks and workshops on academic identity – how it grows and develops, the things that shape it, and how it can be described and evidenced. The conference was not one thing for all delegates, it had something for everyone; areas with which we are familiar and aspects provoking thought and reflection, from which we could learn.  Yet again, I have attended a conference and come away with more than I expected. 

Reflections from a keynote speaker 

Dr Jenny Burnham is a Senior University Teacher in Chemistry at the University of Sheffield. Here she writes about her career and how she shared her experience at the conference.

I am interested in everything and my career highlights have been similarly eclectic. Rather than focus on a single speciality, I used myself as the common thread to weave a story that would be useful, relevant, or inspirational for a diverse audience of enthusiastic and accomplished educators. Taking inspiration from the conference name and conference themes (academic identity, community in learning and teaching, SoTL, supporting student success, and learning and teaching possibilities), my keynote made a virtue of the meanders of my academic career so far.  

My academic journey started in chemistry, shaping my relationship with information (evidence is key) and placing the primacy of experimental investigation at the centre of my disciplinary awareness. My early scholarship interests grew from this, exploring the development of inquiry skills through laboratory education. Spending a lot of time teaching students in the lab and enjoying their individuality shaped a desire to see them all succeed. This developed into an education philosophy that students are clever and capable with enormous potential, which permeates my work. An MEd drawing on what can be learned from sharing practice and insight (Rowland, 1999) transformed my approach to education. The benefits I felt in sharing my work with people who were interested motivated me to extend my networks. These have been a source of inspiration, opportunity and support, and allowed me to define my leadership identity; supporting, facilitating, promoting, and enabling collegial interaction and growth within my community.

My keynote aimed to provide a little of something for everyone, and evidence that I succeeded in this is captured in three different post-keynote interactions. I was thanked for owning my nerves: “it helps” she said. I had lunch with a PhD chemist considering an academic career; and I received an enquiry about a Learning Landscapes initiatives I worked on. There was something for me too: a final, unexpected result of my talk was that pulling it together reminded me of the cool stuff I have done.  Celebrating successes is definitely something I intend to do more of.  

Reflections from a session chair 

Dr Kennedy Offor was a member of the local organising committee and reflects on his experiences at ESLTIS in the role of session chair.

Chairing the ‘AI in the Curriculum’ session gave me with a unique perspective on how colleagues from different disciplines are responding to the rapid emergence of generative AI in higher education. Although the eight presentations ranged from institutional policy to engineering, mathematics, business, humanities, and language learning, a common thread emerged throughout the session – how learning, assessment, and curriculum design should evolve to ensure that students continue to develop critical judgement, disciplinary understanding, and professional responsibility. The discussion reflected a noticeable shift from reacting to AI as a disruptive technology towards designing learning environments that make purposeful and educationally meaningful use of it.

Laurie Wilson opened the session by introducing the University of Sheffield’s developing ‘Common Approach to AI in the Curriculum’, emphasising “harmonisation rather than homogenisation” and arguing that AI should support good disciplinary teaching rather than drive it. Joanne Irving-Walton then offered a thought-provoking perspective by examining the “gaps” where judgement develops, suggesting that AI increasingly participates in the uncertainty, rehearsal and reflection through which students and educators learn. 

Panos Kloukinas, Nick McCullen and Will Roberts built on this by arguing that mathematics and computation education should increasingly prioritise application, interpretation and problem formulation over procedural execution, while Dawn Whitton demonstrated how students could critically evaluate AI itself through a staged business assessment that required them not only to use AI, but also to critique its assumptions, biases and wider societal implications.

The engineering perspective was represented through our own presentation, which used longitudinal Graduate Teaching Assistant reflections to show how observations of student uncertainty, teamwork and AI use informed iterative redesign of an MSc engineering design module. Mireilla Bikanga Ada’s graduate study provided an interesting counterpoint by showing that, despite widespread AI adoption, teamwork remained the strongest predictor of graduates’ perceptions of degree relevance. 

Rachel Johnson illustrated how a simple, low-stakes classroom activity could encourage students critically to examine AI-generated information and its biases, while Franziska Collier demonstrated how AI avatars could provide authentic, low-risk opportunities for students to practise high-stakes language assessments.

The discussions reinforced my own view that the key educational question is no longer whether students should use AI, but how curricula can help them develop the professional judgement needed to use it responsibly. Rather than diminishing the role of educators, the session demonstrated that AI makes thoughtful curriculum design, assessment, and disciplinary expertise more important than ever, and highlighted an encouraging direction of travel for the Scholarship of Teaching and Learning community.

Students as Partners 

Dr. Jane Woodin was a member of the local organising committee and offers her thoughts on working with students as volunteer partners 

The conference ethos of inclusive dialogue was also evident in the organisation of student volunteers who were invited to participate in whatever they wished, from visiting and advising on the venue beforehand, supporting registration and general enquiries, and co-chairing sessions together with a staff volunteer. Responses from the eight volunteers ranged from tentative interest in helping out to requests to ‘have a go at everything’, and others who did the minimum in terms of active volunteering because they found the topics of the talk so interesting and important.

It was heartening to hear one volunteer offer to sit at the front of the large auditorium to oversee a presentation session, handling the Q &A masterfully, including interventions from the co-chair. Another volunteer started out shyly offering to help at the registration desk, but seeing fellow students taking the chairing role, threw herself into it enthusiastically. 

These experiences remind us how the processes surrounding education are as important as the education itself – or perhaps are or should be inseparable, as the ‘way that you do it’ melds seamlessly into ‘what you do’; offering an example of SoTL in action at its best.  

Final Reflections

Dr Matt Mears is a Senior University Teacher in Physics at the University of Sheffield, and was chair of the Local Organising Committee for ESLTIS2026

As Conference Chair, reflecting on the energy across those two days fills me with immense pride and a distinct sense of gratitude. While hosting an event of this scale undoubtedly takes work, the dividend it pays back to the host team and the wider community is extraordinary. Watching colleagues reconnect, draw genuine inspiration from such a rich variety of presenters, and spark new collaborations in real time reminded me why these gatherings are so vital for our sector.

If you have ever toyed with the idea of organising a conference, or perhaps bringing ESLTIS to your own institution, I cannot encourage you enough to take the leap. The effort involved is far outweighed by the connection, camaraderie, and fresh momentum it generates. Whether as an attender, a presenter, or a future host, I look forward to seeing where our community goes next.


Dr Jenny Burnham is a chemistry university teaching specialist with 20 years’ experience teaching and learning about education at the University of Sheffield. 

Dr Matt Mears is a Senior University Teacher in Physics in the School of Mathematical and Physical Sciences at the University of Sheffield. His research focuses on inclusive education practices and laboratory-based teaching.

Dr Kennedy Offor is an engineering educator and researcher with experience teaching undergraduate and postgraduate engineering at the University of Sheffield’s School of Electrical and Electronic Engineering and, more recently, apprenticeship and technical engineering education at the AMRC Training Centre.  

Dr. Jane Woodin is a Senior University Teacher in the School of Languages, Arts and Societies at the University of Sheffield. She has taught and researched in intercultural communication, focusing on peer interaction and dialogue approaches.

Dr Tim Herrick is a Senior University Teacher in the School of Education, and a National Teaching Fellow. He was part of the ESLTIS conference committee and helped co-ordinate this blogpost.

Reference Rowland, S (1999) ‘The role of theory in a pedagogical model for lecturers in higher education’ Studies in Higher Education, 24(3), 303–314. https://doi.org/10.1080/03075079912331379915


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When assessment goes local, who keeps what students bring back?

by Carlene Kyeremeh

A student sent me a photograph of a handwritten waybill. Dated November 2022, it records a unit price for printed sachet film. It also carries the names of a supplier and a customer and the given name of the person who issued it. The waybill appeared in a term paper on fiscal consolidation as evidence of a cost increase that no statistical series I have found records.

It is in my files. Not the department’s. Mine.

I describe the waybill here but do not reproduce it, identify those named, or give the figure it records. The students who wrote the paper agreed to this account. I have no record that the supplier, the customer or the person named agreed to the document’s retention or wider use, so I have minimised the identifying detail, including the price, which is the most commercially sensitive thing on the page.

I have argued elsewhere that the curriculum can help to thicken a thin documentary record. Ask each student to obtain one item of locally sourced evidence: an interview, a quoted price, a document from a firm or public office, and, over successive cohorts, a course can assemble material that no database previously held. This is no longer only my ambition. Programmes are already redesigning assessment in response to generative AI, and one attractive move is to require evidence a model cannot retrieve: a price obtained in a market, an interview conducted locally, a document held by a firm or public office. That redesign brings third-party material into course files at scale, often without a parallel decision about what should happen to it after assessment.

That is the promise. The waybill in my files is the problem that follows it.

What universities already know how to govern

Research ethics and commercial confidentiality are not routinely ignored in student work. Professionally oriented programmes have long had to decide what an organisation may disclose, who may see it and when it must be returned. For example, McMaster University’s course-based research guidance explicitly covers undergraduate, MBA and graduate courses. The University of Toronto provides both a course-based ethics route and a classroom confidentiality agreement for third-party proprietary information. In the UK, the University of Manchester’s ethics guidance asks researchers to establish first whether an activity is research training conducted as coursework, described as collecting and analysing a small amount of data to gain experience in method, or research proper. These arrangements show that collection, consent, confidentiality and use within a defined project can be governed. My argument is therefore not that universities lack such protections. It begins where a normal project would end.

The problem begins when the course ends

If material is returned, destroyed or retained only with the assessed work, its lifecycle has a clear end. But the design I am proposing depends on the evidence outliving the assignment. A document collected by one student in 2026 should be available to another cohort in 2028 or 2029, alongside prices, interviews and documents gathered in the intervening years. The course is not only assessing students. It is building a local source collection.

That changes the questions. What exactly does the university hold after the assessment period? Who is its custodian? How long may it be retained? May another cohort consult it? What fresh permission is needed if it is later used for research or publication? These procedures can help answer those questions, but not automatically. An agreement that properly confines information to one course may rule out the very reuse on which the proposed archive depends.

The evidence is not the assignment

The student’s analysis is coursework. The material used to produce it is not necessarily the same thing. A waybill may contain personal or commercially sensitive information. Interview notes are harder still: they are neither the source’s own record nor the student’s analysis, but one person’s written account of what another person said, made for an assignment and now held by a lecturer.

Where the activity is classified as teaching rather than research, this third-party material can still raise a lifecycle question: do institutional rules cover its custody, retention and reuse after the assessment for which it was collected? The Manchester distinction is instructive here. A course collection built to outlive its cohorts is not a small amount of data gathered to practise a method, but neither does it fit neatly within research as that definition intends. It is a lifecycle problem created by a particular curricular ambition.

The reuse is the point

Ghana’s Data Protection Act, 2012 (Act 843) requires personal data to be collected for a specific, explicitly defined and lawful purpose, limits retention and requires further processing to be compatible with the original purpose. Material obtained for one student’s term paper and later made available to another cohort may involve further processing. Nothing in the waybill I received establishes permission for it to become part of a standing course collection.

The Act contains provisions for historical, statistical and research uses where the relevant conditions are met. Those provisions offer a governed route, not a retrospective blank cheque. They do not turn a lecturer’s folder into an institutional archive. The underlying principle is not unique to Ghana: UK guidance likewise treats purpose, storage and research-related reuse as connected but distinct questions.

Ordinary assignment governance is adequate for ordinary assignments. The problem appears when coursework is asked to do something additional: to enlarge a locally available documentary record over time.

The archival value and the governance risk arise from the same feature. An archive that cannot be consulted next year is not an archive. A collection that can be consulted next year without the source having been told is not a defensible one.

A small institutional answer

The answer need not be a new bureaucracy. It could begin with a short institutional instrument that separates use in a student’s assessment from retention in a course source collection. Before collection begins, it should state the teaching purpose, what may be collected, who may later consult it, how long it will be kept, which unit is responsible and what choices the source has. Research use or publication should require a separate decision rather than being hidden inside the phrase ‘educational purposes’.

The remaining requirement is custody. What one lecturer can require, only an institution can keep. A named custodian, controlled access, a retention and disposal schedule, and a record of what the course has produced would convert a personal folder into an accountable institutional practice. Existing MBA, ethics and confidentiality processes provide models; the task is to extend their discipline to the intended afterlife of the evidence.

Proportionality matters. If the process becomes heavier than the assessment it supports, colleagues may stop asking students to gather local evidence. But a department unable to provide a clear collection notice, a retention rule and somebody accountable for what returns should not require the fieldwork. Otherwise, institutional risk is transferred to students and to the businesses that agree to speak with them.

Readers can test this in ten minutes. Take your own institution’s course-based ethics route or classroom confidentiality agreement and look for two things: whether either says anything about third-party material after the assessment period, and who is named as responsible for it. If neither appears, ask where else the institution governs the evidence after the assignment ends. If there is no answer, the arrangements may govern the assignment without governing its evidentiary afterlife.

Before we ask for more

The curriculum can enlarge the archive. The qualification is that the archival ambition creates an additional governance obligation. The question is not only whether the evidence was collected ethically and kept confidentially. It is whether its intended custody, retention and reuse were made explicit before collection began.

I have a waybill in my files and no good institutional answer to those questions. That is not an argument against asking students to go and find out. It is an argument for deciding what we will do with what comes back, before we ask them to go.

Dr Carlene Kyeremeh is Associate Professor and Vice President, University Advancement, Recruitment and Research at All Nations University, Koforidua, Ghana. Her research addresses curriculum decolonisation, higher education policy in Africa and the Caribbean, and the political economy of educational technology.This post develops a governance question raised in Issues 14 and 15 of The Decolonized Curriculum, her LinkedIn newsletter.


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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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Spotlight on the inclusion process in developing AI guidance and policy

by Lilian Schofield and Joanne J. Zhang

Introduction

When the discourse on ChatGPT started gaining momentum in higher education in 2022, the ‘emotions’ behind the response of educators, such as feelings of exclusion, isolation, and fear of technological change, were not initially at the forefront. Even educators’ feelings of apprehension about the introduction and usage of AI in education, which is an emotional response, were not given much attention. This feeling was highlighted by Ng et al (2023), who stated that many AI tools are new to educators, and many educators may feel overwhelmed by them due to a lack of understanding or familiarity with the technology. The big issues then were talks on banning the use of ChatGPT, ethical and privacy concerns, inclusive issues and concerns about academic misconduct (Cotton et al, 2023; Malinka et al, 2023; Rasul et al, 2023; Zhou & Schofield, 2023).

As higher education institutions started developing AI guidance in education, again the focus seemed to be geared towards students’ ethical and responsible usage of AI and little about educators’ guidance. Here we reflect on the process of developing the School of Business and Management, Queen Mary University of London’s AI guidance through the lens of inclusion and educators’ ‘voice’. We view ‘inclusion’ as the active participation and contribution of educators in the process of co-creating the AI policy alongside multiple voices from students and staff.

Co-creating inclusive AI guidance

Triggered by the lack of clear AI guidance for students and educators, the School of Business and Management at the Queen Mary University of London (QMUL) embarked on developing AI guidance for students and staff from October 2023 to March 2024.  Led by Deputy Directors of Education Dr Joanne J. Zhang and Dr Darryn Mitussis, the guidance was co-created with staff members through different modes, such as the best practice sharing sessions, staff away day, student-staff consultation, and staff consultation. These experiences helped shape the inclusive way and bottom-up approach of developing the AI guidance. The best practice sharing sessions allowed educators to contribute their expertise as well as provide a platform to voice their fears and apprehensions about adopting and using AI for teaching. The sessions acted as a space to share concerns and became a space where educators could have a sense of relief and solidarity. Staff members shared that knowing that others share similar apprehensions was reassuring and reduced the feeling of isolation. This collective space helped promote a more collaborative and supportive environment for educators to comfortably explore AI applications in their teaching.

Furthermore, the iterative process of developing this guidance has engaged different ‘voices’ within and outside the school. For instance, we discussed with the QMUL central team their approach and resources for facilitating AI usage for students and staff. We discussed Russell Group principles on AI usage and explored different universities’ AI policies and practices. The draft guideline was discussed and endorsed at the Teaching Away Day and education committee meetings. As a result, we suggested three principles for developing effective practices in teaching and learning:

  1. Explore and learn.
  2. Discuss and inform.
  3. Stress test and validate.

Key learning points from our process include having the avenue to use voice, whether in support of AI or not, and ensuring educators are active participants in the AI guidance-making process. This is also reflected in the AI guidance, which supports all staff in developing effective practices at their own pace.

Consultation with educators and students was an important avenue for inclusion in the process of developing the AI policy. Open communication and dialogue facilitated staff members’ opportunities to contribute to and shape the AI policy. This consultative approach enhanced the inclusion of educators and strengthened the AI policy.

Practical suggestions

Voice is a powerful tool (Arnot & Reay, 2007). However, educators may feel silenced and isolated without an avenue for their  voice. This ‘silence’ and isolation takes us back to the initial challenges experienced at the start of AI discourse, such as apprehension, fear, and isolation. The need to address these issues is pertinent, especially now when employers, students and higher education drive AI to be embedded in the curriculum and have AI-skilled graduates (Southworth et al, 2023). A co-creative approach to developing AI policies is crucial to enable critique and learning, promoting a sense of ownership and commitment to the successful integration of AI in education.

The process of developing an AI policy itself serves as the solution to the barriers to educators adopting AI in their practice and an enabler for inclusion. It ensures educators’ voices are heard, addresses their fears, and finds effective ways to develop a co-created AI policy. This inclusive participatory and co-creative approach helped mitigate fears associated with AI by creating a supportive environment where apprehensions can be openly discussed and addressed.

The co-creative approach of developing the policy with educators’ voices plays an important role in AI adoption. Creating avenues, such as the best practice sharing sessions where educators can discuss their experiences with AI, both positive and negative, ensures that voices are heard and concerns are acknowledged and addressed. This collective sharing builds a sense of community and support, helping to alleviate individual anxieties.

Steps that could be taken towards an inclusive approach to developing an inclusive AI guidance and policy are as follows:

  1. Set up the core group – Director for Education, chair of the exam board, and the inclusion of educators from different subject areas. Though the development of AI guidance can have a top-down approach, it is important that the group set-up is inclusive of educators’ voices and concerns.
  2. Design multiple avenues for educators ‘voices’ to be heard (best practice sharing sessions within and cross faulty, teaching away day).
  3. Communication channels are clear and open for all to contribute.
  4. Engaging all staff and students – hearing from students directly is powerful for staff, too; we learned a lot from students and included their voices in the guidance.
  5. Integrate and gain endorsements from the school management team. Promoting educators’ involvement in creating AI guidance legitimises their contributions and ensures that their insights are taken seriously. Additionally, such endorsement ensures that AI guidance is aligned with the needs and ethical considerations of those directly engaged and affected by the guidance.

Conclusion

As many higher education institutions move towards embedding AI into the curriculum and become clearer in their AI guidance, it is crucial to acknowledge and address the emotional dimensions educators face in adapting to AI technologies in education. Educators’ voices in contributing to AI policy and guidance are important in ensuring that they are clear about the guidance, embrace it and are upskilled in order for the embedding and implementation of AI in teaching and learning to be successful.

Dr. Lilian Schofield is a senior lecturer in Nonprofit Management and the Deputy Director of Student Experience at the School of Business and Management, Queen Mary University of London. Her interests include critical management pedagogy, social change, and sustainability. Lilian is passionate about incorporating and exploring voice, silence, and inclusion into her practice and research. She is a Queen Mary Academy Fellow and has taken up the Learning and Teaching Enhancement Fellowship, where she works on student skills enhancement practice initiatives at Queen Mary University of London.

Dr Joanne J. Zhang is Reader in Entrepreneurship, Deputy Director of Education at the School of Business and Management, Queen Mary University of London, and a visiting fellow at the University of Cambridge. She is the ‘Entrepreneurship Educator of the Year’, Triple E European Award 2022. Joanne is also the founding director of the Entrepreneurship Hub , and the QM Social Venture Fund  - the first student-led social venture fund investing in ‘startups for good’ in the UK.  Joanne’s research and teaching interests are entrepreneurship, strategy and entrepreneurship education. She has led and engaged in large-scale research and scholarship projects totalling over GBP£7m.  Email: Joanne.zhang@qmul.ac.uk


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Offering a curriculum change evaluation tool

by Camille Kandiko Howson and Martyn Kingsbury

This blog offers an overview of a curriculum evaluation tool, part of a recently published article ‘Curriculum change as transformational learning’, in Teaching in Higher Education.

A decade ago, one of us led a strand of work exploring global best practice in whole-institution curriculum change, as part of a wider Higher Education Funding Council for England (HEFCE) project. The resulting book, Strategic Curriculum Change, identified that while huge amounts of time and money were spent doing large-scale curriculum change, as well as vast costs on the subsequent marketing of it, next to nothing was invested in evaluating it.

One of the main challenges is that while a curriculum change initiative starts off as a separate project, it eventually becomes business as usual. Such change efforts often come at a high political cost as well, with senior leaders often moving on and leaving the implementation to others. Many efforts never really get off the ground, instead lingering and taking on board new ideas, blending the old and the new. These may water down the original vision and drive for change, further hindering evaluation.

Evaluating change

We have recently had the opportunity to remedy this gap, through evaluating a whole-institution curriculum review project, part of a comprehensive nine-year investment plan to reposition teaching and learning within an institution. While it is easy to check the administrative side of a change effort (were boxes ticked, forms filled out), analysing the whether the ethos, purpose and guiding principles were adopted requires a much more nuanced approach.

We designed a multi-stage evaluation plan to explore to what extent were the principles of a Learning and Teaching Strategy embedded within new curriculum structures, as well as the impact on personal and disciplinary culture.

This output provides insight into the first stage of curriculum change – taking new ideas and pedagogical approaches and building them into the bricks and mortar of the educational experience and into the minds and practices of those delivering the curriculum. This approach allows for evaluating to what extent a change effort is just words on a slick new webpage, or whether there has been a transformation of the curriculum.

The review in context

The review is based in a highly devolved, mid-size urban research-intensive institution in the UK. The institutional change programme is based on four pillars:

1) Assessment Reform: A review of curricula with the objective of reducing over-assessment

2) Active Learning: An evidence-based transformation of pedagogy, to make teaching more discovery-based

3) Diversity and Inclusion: The fostering of an inclusive and diverse culture and sense of belonging

4) Digital and Technology Enhanced Learning: The development of online and digital tools to enhance curricula, pedagogy and community

We evaluated the degree of departmental engagement with the institution-wide curriculum review policy through a discourse analysis of three sources: 1) a public Learning and Teaching Strategy; 2) internal Curriculum Redesign Forms, the quality assurance process stating changes, rationale and engagement; and 3) external Programme Specifications, detailing the educational offer for prospective students.

The evaluation tool

We designed an evaluation rubric, and in the paper we cover two aspects of it. The first explores engagement with the four pillars of the Strategy in the Curriculum Redesign Forms, through the adoption of language, intent and application, resulting in 12 indicators. This allowed us to evaluate the degree to which words and meaning of the Strategy were embedded within the new curriculum structures of the departments.

We also explored the alignment of the Curriculum Redesign Forms and the Programme Specification, focusing on the sections on Programme Overview, the Learning Outcomes, the Learning and Teaching Approach and the Assessment Strategy. This led to another 16 indicators. This offered insight into the extent the internal changes had made it into the public ‘offering’ of the course.

These 28 indicators were judged on a scale of Absent, Vague, Implicit, Present, Explicit. Scores were assigned and each department in the institution was reviewed by the researchers. We found varying engagement across the pillars of the Strategy and the challenge of applying principles in practice. We identified three different patterns of engagement across departments, with ‘active’ departments integrating the aims of the Strategy with disciplinary knowledge and pedagogy, ‘engaged’ departments adopting much of intent of the strategy, and group of ‘passive’ departments with minimal engagement and a focus on structural changes.

We hope this research and evaluation tool help others conduct evaluation of curriculum change. We found this approach uncovered both structural and cultural change. This is just the start of our research on curriculum change, and we hope it kickstarts other curriculum change research and evaluation, whether at the institution, faculty or departmental level.

SRHE member Dr Camille Kandiko Howson is Associate Professor of Education in the Centre for Higher Education Research and Scholarship at Imperial College London. Follow Camille on Twitter @cbkandiko

SRHE member Professor Martyn Kingsbury is Director of the Centre for Higher Education Research and Scholarship at Imperial College London.


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Making knowledge more explicit in the English for Academic Purposes classroom

by Mark Brooke

This post is part of a series tied to a special issue of Teaching in Higher Education published in March 2019. This special issue aimed to spark a re-evaluation of what higher education needs to do to respond to the post-truth world, especially from the perspective of individual educators. The twelve papers, nine of which are accompanied by posts here on the SRHE blog, take different perspectives to explore the ways in which higher education is being challenged and the responses that it might make in terms of curriculum, pedagogy and professional practice.

In 2000, Moore (2000: 33) wrote that the ‘curriculum of the future should be the curriculum of knowledge’. He argued that knowledge should be accessible to all members of society and, in this way, education should promote social and educational justice. However, we find that the educational climate for such an objective is not wholly welcoming. In many university settings, academic language courses tend to be devoid of a theoretical approach to education that places the teacher in the role of linguistic expert. Indeed, courses prominently feature notions such as grammatical accuracy instruction based on isolated clauses at the lexico-grammatical level or independent self-directed learning and study habits. Unfortunately, in these cases, the focus of instruction may first be decontextualised as extracts, which oversimplifies the meanings in the texts; and second, a theory of language or knowledge may play a backseat role or even be entirely absent. As many researchers have pointed out, focusing on common errors in a de-contextualised way is probably not effective. Additionally, independent learning, although a useful process, is often given too much focus. This detracts from the time spent with a qualified tutor as knowledge provider, taking the onus away from what the teacher does. In the case of independent learning instruction, what is being foregrounded is ‘the social circumstances of knowers’ (Maton, 2014: 5), not knowledge.

In contrast, the main goal of our research is to provide knowledge to students in the form of analytical lenses to enable them to deconstruct and judge information effectively. What we strive to do is move away from educational ‘knowledge blindness’ (Maton, 2014). Legitimation Code Theory (LCT) as a sociological framework has guided our educational practices to do this. The basic premise of Legitimation Code Theory (LCT) is that knowledge is power. LCT is a toolkit for analysing socio-cultural practices and uncovering what constitutes the ‘rules of the game’ that provide the means to that power. Ultimately, the goal is to develop a gaze or ‘a mode of thinking, acting and being’ (Dong et al, 2015: 8) through the explanatory power of the codes. In this research we seek to develop our students’ critical gaze. We achieve this by applying the dimensions of specialisation (including cosmologies) and semantics.

Specialisation determines principles of privilege in fields of practice. Practices that emphasise epistemic relation and downplay actors’ dispositions view specialised knowledge as the basis of achievement (ER+). We believe a curriculum should primarily be built on ER+. Practices that emphasise social relations, and downplay epistemic relations, are represented by the knower codes (SR+). Independent learning is an example of this, which has often been given too much focus in our field. Knower codes can be explored in greater depth through the use of the concept of ‘axiological cosmologies’. Maton (2013) defines cosmologies as ‘constitutive features of social fields that underlie the way social actors and practices are differentially characterised and valued’ (p 152). In identifying how clusters are formed, we can help students to understand the means by which experts and authors attempt to persuade the reader to align with a position on a particular issue. ‘Semantics’ is a dimension from LCT that ‘conceives social fields of practice as semantic structures whose organizing principles are conceptualized as semantic codes’ (Maton, 2014: 2). Using Semantics, it is possible to explore the relations that exist between knowledge structures and, in particular for this purpose, how to apply a critical lens to a social phenomenon or text to analyse it. 

We conducted research between 2015 and 2017 at the Centre for English Language Communication at the National University of Singapore. Our findings, from three parallel case studies within the broad framework of English for Academic Purposes (EAP), provide results from classroom-based action research working with semantics, specialisation and axiological cosmologies from Legitimation Code Theory. Each case study is outlined, explaining how these LCT dimensions have guided practice in the teaching of English for academic writing. Specifically, LCT has been applied in the development of our students’ critical dispositions by teaching them how to apply critical lenses to analyse texts and to make informed judgements. The first case study explores semantics as a strategy for teaching how to use lenses for the theoretical framework section of an IMRaD (Introduction, Methods, Research and Discussion) research paper in the social sciences. The second is set in a standalone EAP module and describes the use of a systemic-functional linguistics-informed pedagogical tool as a lens to analyse academic discourse so learners can better understand the meanings including the assumptions, unsupported claims, or biases in texts. The third regards the embedding of LCT approaches for students engaged in writing hortatory blogs in a unit entitled Public Writing and Communication. Students are taught to explore ‘axiological cosmologies’ to understand how evaluative meanings form patterns of clusters that enable the writer to create a persuasive expository text.

References

Dong, A, Maton, K and Carvalho L, (2015) The structuring of design knowledge The Routledge Companion to Design Research, pp38-49 London: Routledge.

Maton, K (2008) ‘Knowledge-building: how can we create powerful and influential ideas?’ Paper presented at Disciplinarity, Knowledge and Language: An International Symposium Sydney: University of Sydney

Maton, K (2013) Knowledge and knowers: Towards a realist sociology of education Routledge: London

Maton, K (2014) ‘Building powerful knowledge: the significance of semantic waves’ in Barrett, B and Rata, E (eds) (2014) Knowledge and the future of the curriculum, pp181–197 London: Palgrave Macmillan, Palgrave Studies in Excellence and Equity in Global Education.

Moore, R (2000) ‘For knowledge: tradition, progressivism and progress in education – reconstructing the curriculum debate’ Cambridge Journal of Education 30(1): 17–36

Mark Brooke is Senior Lecturer at the Centre for English Language Communication at the National University of Singapore. He specialises in research and teaching in two fields: English for Academic Purposes and the Sociology of Sport. He can be found on Google Scholar, Facebook and LinkedIn.The full article by Mark Brooke, Laetitia Monbec and Namala Tilakaratna (all National University of Singapore), ‘The analytical lens: developing undergraduate students’ critical dispositions in undergraduate EAP writing courses’, is in Teaching in Higher Education 24(3): 428-443

Ian Kinchin


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Research-teaching links: what do students think?

By Ian Kinchin

Looking at university web sites, it is clear that many institutions are offering “unique” student experiences for identical reasons. In particular a research-informed teaching and learning environment. The convergence on this particular selling point is quite striking despite the lack of clarity on what this means or what the evidence is for this being the best way forward. It seems that universities are all heading along the same road without questioning whether there are alternative perspectives.

I find the comments made nearly 50 years ago by West (1966: 767) particularly interesting in this regard, suggesting an alternative model for university teaching. He states:

“Most teachers understand the importance of developing the students’ capacity for critical thinking and self-education, but most of us are too busy telling them what we know to get around to showing them how we learn. Possibly they would gain more from watching us learn than from watching us teach.”

Imagine a university without a “teaching curriculum”, but a “learning curriculum” in which the students study the activities of particular researchers in order to piece together the nature of their chosen subject. Continue reading →