Category: Teaching & Learning

  • How is artificial intelligence actually being used in higher education?

    How is artificial intelligence actually being used in higher education?

    With a wide range of applications, including streamlining administrative tasks and tailoring learning experiences, AI is being used in innovative ways to enhance higher education.

    Course design and content preparation

    AI tools are changing the way academic staff approach course design and content preparation. By leveraging AI, lecturers can quickly generate comprehensive plans, create engaging sessions, and develop quizzes and assignments.

    For instance, tools like Blackboard Ultra can create detailed course plans and provide suggestions for content organisation and course layout. They can produce course materials in a fraction of the time it would traditionally take and suggest interactive elements that could increase student engagement.

    AI tools excel at aligning resources with learning outcomes and institutional policies. This not only saves time but also allows lecturers to focus more on delivering high-quality instruction and engaging with students.

    Enhancing learning experience

    AI and virtual reality (VR) scenarios and gamified environments are offering students unique, engaging learning experiences that go beyond traditional lectures. Tools like Bodyswaps use VR to simulate realistic scenarios for practicing soft and technical skills safely. These immersive and gamified environments enhance learning by engaging students in risk-free real-world challenges and provide instant feedback, helping them learn and adjust more effectively.

    Self-tailored learning

    AI also plays a role in supporting students to tailor learning materials to meet their individual and diverse needs. Tools like Jamworks can enhance student interaction with lecture content by converting recordings into organised notes and interactive study materials, such as flashcards.

    Similarly, Notebook LLM offers flexibility in how students engage with their courses by enabling them to generate content in their preferred form such as briefing documents, podcasts, or taking a more conversational approach. These tools empower students to take control of their learning processes, making education more aligned with their individual learning habits and preferences.

    Feedback and assessment

    Feedback and assessment is the most frequently referenced area when discussing how reductions in workload could be achieved with AI. Marking tools like Graide, Keath.ai, and Learnwise are changing this process by accelerating the marking phase. These tools leverage AI to deliver consistent and tailored feedback, providing students with clear, constructive insights to enhance their academic work. However, the adoption of AI in marking raises valid ethical concerns about its acceptability such as the lack of human judgement and whether AI can mark consistently and fairly.

    Supporting accessibility

    AI can play a crucial role in enhancing accessibility within educational environments, ensuring that learning materials are inclusive and accessible to all students. By integrating AI-driven tools such as automated captioning, and text-to-speech applications, universities can significantly improve the accessibility of digital resources.

    AI’s capability to tailor learning materials is particularly beneficial for students with diverse educational needs. It can reformat text, translate languages, and simplify complex information to make it more digestible. This ensures that all students, regardless of their learning abilities or language proficiency, have equal opportunities to access and understand educational content.

    Despite the benefits, the use of AI tools like Grammarly raises concerns about academic integrity. These tools have the potential to enhance or even alter students’ original work, which may lead to questions about the authenticity of their submissions. This issue highlights the need for clear guidelines and ethical considerations in the use of AI to support academic work without compromising integrity.

    Another significant issue is equity of access to these tools. Many of the most effective AI-driven accessibility tools are premium services, which may not be affordable for all students, potentially widening the digital divide.

    Student support – chatbots

    AI chatbots are increasingly recognised as valuable tools in the tertiary education sector, streamlining student support and significantly reducing staff workload. These increasingly sophisticated systems are adept at managing a wide array of student queries, from routine administrative questions to more detailed academic support, thereby allowing human resources to focus on tasks requiring more nuanced and personal interactions. They can be customised to meet the specific needs of a university, ensuring that they provide accurate and relevant information to students.

    Chatbots such as LearnWise are designed to enhance student interactions by providing more tailored and contextually aware responses. For instance, on a university’s website, if a student expresses interest in gaming, they can suggest relevant courses, highlight the available facilities and include extra curriculum activities available, integrating seamlessly with the student’s interests and academic goals. This level of tailoring enhances the interaction quality and improves the student experience.

    Administrative efficiency

    AI is positively impacting the way administrative tasks are handled within educational institutions, changing the way everyday processes are managed. By automating routine and time-consuming tasks, AI technologies can alleviate the administrative load on staff, allowing them to dedicate more time to strategic and student-focused activities.

    AI tools such as Coplot and Gemini can help staff draft, organise, and prioritise emails. These tools can suggest responses based on the content received, check the tone of emails and manage scheduling by integrating with calendar apps, and remind lecturers of pending tasks or follow-ups, enhancing efficiency within the institution.

    Staff frequently deal with extensive documentation, from student reports to research papers and institutional policies. AI tools can assist in checking, proofreading and summarising papers and reports, and can help with data analysis, generating insights, graphs and graphics to help make data more easily digestible.

    How is AI being used in your institution?

    At Jisc we are collating practical case studies to create a comprehensive overview of how AI is being used across tertiary education. This includes a wide range of examples supporting the effective integration of AI into teaching and administration which will be used to highlight best practice, support those just getting started with the use of AI, overcome challenges being faced across the sector and to highlight the opportunities available to all.

    We want to hear how AI is being used at your organisation, from enhancing everyday tasks to complex and creative use cases. You can explore these resources and find out how to contribute by visiting the Jisc AI Resource Hub.

    For more information around the use of digital and AI in tertiary education, sign up to receive on-demand access to key sessions from Jisc’s flagship teaching and learning event – Digifest running 11–12 March.

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  • The case against impartial university teaching

    The case against impartial university teaching

    “I don’t share my political or religious perspectives at work; I never have”, asserted my experienced professorial colleague over an informal coffee. “A bit of shame, but kind of admirable, right?”, I thought.

    I recalled a politics lecturer during my time as an undergraduate, who, like seemingly most of that generation of academics (1990s-00s), believed in impartiality and explicitly stated his liberal neutrality when presenting challenging topics: may the best arguments win. The problem was that through reading his online bio and finding his works in the library, one could very quickly discern his political and philosophical leanings!

    When I began teaching philosophy at the same university a few years later, I too attempted to feign neutrality; neither sharing my political nor religious leanings, nor ethnic or cultural heritage. It wasn’t the done thing. Autobiography and self-disclosure had no place in the philosophy seminar room.

    I’ve since thawed. I’m now leaning far more towards disclosure than when I started teaching. I long held neutral impartiality as the gold standard of instruction, whereby challenging – and perhaps controversial – topics were discussed, but the educator held the space for students to explore perspectives, without sharing their own. This, while often the received wisdom, and certainly well-intentioned, is, I now reflect, limited.

    For an academic to be teaching on a module, especially if they’ve created it, means they’re very likely to be published in that field of inquiry. Engaged students will find such materials, understand their lecturer’s perspectives, and recognise when they’re playing devil’s advocate in sessions. Furthermore, given that we teach face to face, and not in confession booths, the visibility of us as lecturers often speaks volumes; students will make an array of assumptions. For example, if in a session led by the university’s chaplain, it’s safe for students to assume that they’re a member of the Church of England.

    Kelly’s heuristic quartet

    There is a case to be argued for “committed impartiality” as per Social Scientist Thomas Kelly’s (1986) heuristic quartet:

    • Exclusive neutrality: The educator takes a neutral position and eschews any potentially controversial issues; i.e. appropriate in a school context, but too reductive for HE.
    • Exclusive partiality: The educator takes a biased position; i.e. traditionally a big no no. Think here of educators who use their classes to enact their activism.
    • Neutral impartiality: The educator is impartial and neutral, encouraging students to explore controversial issues; i.e. the gold standard of HE instruction based on received wisdom.
    • Committed impartiality: The educator takes a biased position while also being impartial; i.e. seen with scepticism by those who practise neutral impartiality. This is a potentially slippery slope into exclusive partiality.

    While referring principally to the teaching of “controversial” topics in school education, I think the quartet can be helpfully adapted to fit the context of contemporary HE teaching in the social sciences and humanities. Kelly claimed that owing to its contradictory position, “committed impartiality” is the most defensible course of action for educators to engage in teaching controversial issues. This is because it requires the educator to put their cards on the table and encourage debate without claiming an unbiased standpoint.

    Wading

    When discussing loaded issues such as race, sexuality and religious perspectives, perhaps this is where the received wisdom about steadfastly refusing to disclose shines through and avoids the – especially contemporary – quagmire of a shallow form of identity politics and virtue signalling that can sometimes turn into a form of oppression Olympics? The “disclosure dilemma” is, of course, ultimately a personal, context bound one.

    In the context of schools, the issue of disclosure is much more vexed, given that teachers are effectively agents of the state who have a moral duty to avoid prosletysing given the power dynamic of the classroom (I recall the example during COvid-19 of a teacher in Nottinghamshire getting national attention for encouraging students to write letters of frustration to the then PM).

    While school curricula are obviously created by groups of individuals with political agendas, in HE we too have areas of expertise, interest, and passion. In an increasingly regulatory framework, the dissemination of our darlings is bound by legislation such as the Equality Act (2010), and The Higher Education Freedom of Speech Act (2023). Furthermore, to adhere to these acts within a localised context, my employer has a university dignity policy, mission statements, and, within my department, enacts the Chatham House Rule. We also provide trigger warnings to create inclusive learning environments.

    Tightrope

    This discussion has implications for those in the social sciences, especially those who deal, like I do, with explicitly political content (I recognise that the personal is also the political). Of course, navigating the tightrope between committed impartiality and exclusive partiality is tricky. The received wisdom is valuable insofar as it helps the educator to avoid this balancing act. But when the educator has a specialism that speaks to a political issue of the day, it is arguably upon them to do so. For example, in March 2023 I was teaching a session for final year UG students on migration in the context of international education when the Gary Lineker “issue” kicked off. I had a well-informed perspective on that issue, and it linked neatly to the scheduled taught content that day. It’s fair to say that I teetered on that tightrope between committed impartiality and exclusive partiality!

    The challenge is not about self-censorship in the service of an apparently noble ideal of neutral impartiality, but enacting personal commitment and setting the groundwork for civic debate. Deciding to disclose may have the intended learning outcome of rapport building, modelling particular behaviours or perspectives, humanising oneself, normalising situations, or problematising a set of affairs; it’s about practising the messy craft of educating, and being open to self-transformation.

    Risk aversion

    I’m sure others could make equally compelling cases for different positions within, and outside of, Kelly’s heuristic quartet. I think a primary driver behind neutrality is, rather than a noble but impossible quest for untainted discourse, perhaps one of nervousness; nervousness of being seen as doctrinaire or unduly influencing students’ perspectives?

    Overall, the disclosing instructor must consider their visibility in terms of gender, age, physical presence, professional titles etc. that starkly reinforce a power imbalance between student and academic, aka judge, jury and executioner in terms of grades and longer-term prospects. Where the stakes are high boldness of speech, disclosing personal leanings in a learning environment are worth the risk.

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  • The importance of consequential feedback

    The importance of consequential feedback

    Imagine this: a business student managing a virtual company makes a poor decision, leading to a simulated bankruptcy. Across campus, a medical student adjusts a treatment in a patient simulation and observes improvements in the virtual patient’s condition.

    When students practice in a simulated real-world environment they have access to a rich set of feedback information, including consequential feedback. Consequential feedback provides vital information about the consequences of students’ actions and decisions. Typically, though, in the perennial NSS-driven hand-wringing about improving feedback in higher education, we are thinking only about evaluative feedback information – when educators or peers critique students’ work and suggest improvements.

    There’s no doubt evaluative feedback, especially corrective feedback, is important. But if we’re only talking about evaluative feedback, we are missing whole swathes of invaluable feedback information crucial to preparing graduates for professional roles.

    In a recently published, open access paper in Assessment and Evaluation in Higher Education, we make the case for educators to design for and support students in noticing, interpreting and learning from consequential feedback information.

    What’s consequential feedback?

    Consequential feedback involves noticing the connection between actions and their outcomes (consequences). For example, if we touch a hot stove, we get burned. In this example, noticing the burn is both immediate and obvious. Connecting it to the action of touching the stove is also easy – little interpretation needs to be made. However, there are many cause-effect (action-consequence) sequences embedded in professional practice that are not so easy to connect. Students may need help in noticing the linkages, interpreting them and making corrections to their actions to lead to better consequences in the future.

    For instance, the business student above might decide on a pricing strategy and observe its effect on market share. The simulation speeds up time so students can observe the effects of price change on sales and market share. In real life, observing the consequences of a pricing change might take weeks or months. Through the simulation, learners can experiment with different pricing strategies, making different assumptions about the market, and observing the effects, to build their understanding of how these two variables are linked under different conditions. Critically, they learn the importance of this linkage so they can monitor in the messier, delayed real life situations they might face as a marketing professional.

    Consequential feedback isn’t just theoretical. It is already making an impact in diverse educational fields such as healthcare, business, mathematics and the arts. But the disparate literature we reviewed almost never names this information as consequential feedback. To improve feedback in higher education, we need to be able to talk to educators and students explicitly about this rich font of feedback information. We need a language for it so we can explore how it is distinct from and complementary to evaluative feedback. Naming it allows us to deliberately practice different ways of enhancing it and build evidence about how to teach students to use it well.

    Why does it matter?

    Attending to consequential feedback shifts the focus from external judgments of quality to an internalised understanding of cause and effect. It enables students to experience the results of their decisions and use these insights to refine their practice. Thus, it forms the grist for reflective thinking and a host of twenty-first century skills needed to solve the world’s most pressing problems.

    In “real-life” after university, graduates are unlikely to have a mentor or teacher standing over them offering the kind of evaluative feedback that dominates discussion of feedback in higher education. Instead, they need to be able to learn independently from the consequential feedback readily available in the workplace and beyond. Drawing on consequential feedback information, professionals can continuously learn and adapt their practice to changing contexts. Thus, educators need to design opportunities that simulate professional practices, paying explicit attention to helping students learn from the consequential feedback afforded by these instructional designs.

    How can educators harness it?

    While consequential feedback is powerful, capitalising on it during higher education requires careful design. Here are some strategies for educators to try in their practice:

    Use simulations, role-plays, and projects: Simulations provide a controlled environment where students can explore the outcomes of their actions. For example, in a healthcare setting, students might use patient mannequins or virtual reality tools to practice diagnostic and treatment skills. In a human resources course, students might engage in mediation role plays. In an engineering course, students could design and test products like model bridges or rockets.

    Design for realism: Whenever possible, feedback opportunities should replicate real-world conditions. For instance, a law student participating in a moot court can see how their arguments hold up under cross-examination or a comedy student can see how a real audience responds to their show.

    Encourage reflection: Consequential feedback is most effective when paired with reflection. Educators can prompt students to consider questions such as: What did you do? Why? What happened when you did x? Was y what you expected or wanted? How do these results compare to professional standards? Why did you get that result? What could you change to get the results you want?

    Pair with evaluative feedback: Students may see that they didn’t get the result they wanted but not know how to correct their actions. Consequential feedback doesn’t replace evaluative feedback; it complements it. For example, after a business simulation, an instructor might provide additional guidance on interpreting KPIs or suggest strategies for improvement. This pairing helps students connect outcomes with actionable next steps.

    Shifting the frame

    Focusing on consequential feedback represents a shift in how we think about assessment, feedback, and learning itself. By designing learning experiences that allow students to act and observe the natural outcomes of their actions, we create opportunities for deeper, more meaningful engagement in the learning process. As students study the impact of their actions, they learn to take responsibility for their choices. This approach fosters the problem-solving, adaptability, independence, and professional and social responsibility they’ll need throughout their lives.

    A key question educators should be asking is: how can I help students recognise and learn from the outcomes of their actions? The answer lies in designing for and highlighting consequential feedback.

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  • The potential of educational podcasts for commuter students

    The potential of educational podcasts for commuter students

    Engaging students in learning outside the classroom can often be a challenge, but podcasts might be a simple yet versatile tool we’re overlooking.

    As the number of commuting students rises across institutions, we recognise that students are time poor. There is, however, the potential of using travel time as an opportunity for students to work but also relax and many students use their commute time as an opportunity to prepare for teaching. Podcasting is one of the ways we can design our pedagogy to fit the busy lives of commuter students.

    Think about how you listen to podcasts, most likely while you’re doing other things like driving, cooking or walking. There’s a versatility to it.

    How many of the learning resources we offer allow students to learn on-the-go?

    Education on-the-go

    Most podcast listeners will tell you the convenience of audio-centric and on-the-go content is key to their success. BBC data suggests that about three in four podcast listeners do so while doing something else, so even podcasts that have a video option available need to be planned and created with an audio-only format in mind.

    Offering that versatility also comes at a cost. It’s important to recognise the fact that students might be on a busy bus, or looking for the timetable for their next train connection. We probably won’t have a student’s full attention, and that means that we need to carefully consider the kind of educational content that’s going to work in this format.

    Successful podcasts tend to be focused on experiential storytelling. They are usually fluid and conversational, so don’t be afraid to lean into that. Storytelling gives us emotional responses, helping students connect abstract ideas to real-world implications. A podcast will be much more successful if you give depth and meaning to something a student has already learned, rather than delivering the learning itself.

    Let’s take data analysis as an example. Instead of focusing on the technical process of analysing data, you could discuss stories of the impact of data bias or ethical dilemmas in data usage. Give your students food for thought rather than core learning, use it to turn the numbers into narrative and give a deeper meaning to your classroom content.

    It can also be a good idea to supplement your podcast with a short interactive activity, either online or at the start of your next learning session. Ask students to reflect on the podcast and their key takeaways from it. It can be a great starting point to encourage deeper learning.

    A how to guide

    Another core aspect of successful podcasts is authenticity. You don’t want your podcast to sound like a job interview. Natural conversations foster a sense of authenticity, which is key to keeping listeners engaged. A key part of this comes from the way you prepare for a podcast. Discussion points as opposed to questions allows both you and your guest to think more holistically about the topic and can make a huge difference when it comes to making the conversation flow authentically.

    We’ve found it’s best to give more flexibility and aim for shorter episodes. Splitting a conversation up into bitesize chunks gives students the option to listen to all episodes in one go, or a bit at a time. Starting with a few episodes, around 12-20 minutes each, will offer your students a lot more flexibility than a single 1-hour long podcast.

    Thankfully the technical and logistical aspects of recording podcasts have developed rapidly over the last few years and it’s very easy to get started. Advancements like text-to-speech editing and speech enhancement let you record fully online and get incredible results without any technical knowledge or high-end equipment. A lot of podcasting software now produces automatic text transcription supporting accessibility and allowing students to engage with the content in multiple formats.

    And by framing these resources as useful for students to “listen to on-the-go,” gives students permission to use and access resources in ways which work for them during their busy lives. It recognises commuter students and acknowledges busy student lives and gives them a new innovative way to engage with their studies.

    Getting started

    If you’re interested in giving it a go, here are some ideas to get you started.

    A conversation about a specific assessment: contact a student who did well on an assessment last year and ask if they would be happy to share their experiences. Students can get ideas and inspiration from how they have approached it, what worked well and what they would do differently.

    Interviews with industry experts is another way to frame a podcast. Working professionals don’t always have the time to travel to campus and prepare a lecture for your students. That might be different if they just had to join an online call for a natural conversation. Recording it as a podcast also gives you a reusable resource for future cohorts.

    Student Q&As where students can submit their own questions about a topic or assessment and discuss them in a podcast. This could be an idea to explore on your own, with another lecturer, or with professionals in the industry.

    It’s clear that using podcasts as a form of education comes with a lot of challenges, but it also offers a vast world of opportunities and flexibility for students. Where students face further challenges to engage and attend classes, it is worth considering how educational podcasts may be a mechanism so that resources work around busy and complex student lives. For commuting students, a great deal of time is spent on public transport and in maximising their time, providing resources that are engaging, useful and timely is a step in the right direction. And in designing resources specifically with commuter students in mind it recognises their experiences and allows them to engage authentically.

    And to make podcasts work for commuter students in an educational context we need to be realistic about the challenges students face and create content that works in a podcast format rather than shoehorning existing content into a new format. If we nail that, then podcasts could become a very useful tool for delivering educational content that fits around students and heightens engagement.

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  • The higher education sector needs to come together to renew its commitment to enhancing student engagement

    The higher education sector needs to come together to renew its commitment to enhancing student engagement

    “Engagement, to me, is probably…getting the most out of university…taking and making the most of available opportunities.”

    This quote, from Queen’s University Belfast students’ union president Kieron Minto sums up a lot of the essential elements of what we talk about when we talk about student engagement.

    It captures the sense that the higher education experience has multiple dimensions, incorporating personal and professional development as well as academic study. Students will be – and feel – successful to the extent that they invest time and energy in those activities that are the most purposeful. Critically, it captures the element of student agency in their own engagement – higher education institutions might make opportunities available but students need to decide to engage to get the most from them.

    In recent years “student engagement” has suffered from the curse of ubiquity. Its meanings and applications are endlessly debated. Is it about satisfaction, academic success, personal growth, or a combination of factors? There is a wealth of examples of discrete projects and frameworks for thinking about student engagement, but often little read-across from one context to another. We can celebrate the enormous amount of learning and insight that has been created while at the same time accepting that as the environment for higher education changes some of the practices that have evolved may no longer be fit for purpose.

    Higher education institutions and the students that are enrolled in them face a brace of challenges, from the learning and development losses of the Covid pandemic, to rising costs and income constraints, to technological change. Institutions are less able to support provision of the breadth of enriching opportunities to students at the same time as students have less money, time, and emotional bandwidth to devote to making the most of university.

    The answer, as ever, is not to bemoan the circumstances, or worse, blame students for being less able to engage, but to tool up, get strategic, and adapt.

    Students still want to make the most of the opportunities that higher education has to offer. The question is how to design and configure those opportunities so that current and future students continue to experience them as purposeful and meaningful.

    Fresh student engagement thinking

    Our report, Future-proofing student engagement in higher education, brings together the perspectives of academic and professional services staff, higher education leaders, and students, all from a range of institutions, to establish a firm foundation of principles and practices that can support coherent, intentional student engagement strategies.

    A foundational principle for student engagement is that students’ motivations and engagement behaviours are shaped by their backgrounds, prior experiences, current environments, and hopes and expectations for their futures – as explained by Ella Kahu in her socio-cultural framework for student engagement (2013).

    It follows that it is impossible to think about or have any kind of meaningful organisational strategy about student engagement without working closely in partnership with students, drawing on a wide range of data and insight about the breadth of students’ opinions, behaviours, and experiences. Similarly, it follows that a data-informed approach to student engagement must mean that the strategy evolves as students do – taking student engagement seriously means adopting an institutional mindset of preparedness to adapt in light of feedback.

    Where our research indicates that there needs to be a strategic shift is in the embrace of what might be termed a more holistic approach to student engagement, in two important senses.

    The first is understanding at a conceptual level how student engagement is realised in practice throughout every aspect of the student journey, and not just manifested in traditional metrics around attendance and academic performance.

    The second is in how institutions, in partnership with students, map out a shared strategic intent for student engagement for every stage of that journey. That includes designing inclusive and purposeful interventions and opportunities to engage, and using data and insight from students to deepen understanding of what factors enable engagement and what makes an experience feel purposeful and engaging – and ideally creating a flow of data and insight that can inform continuous enhancement of engagement.

    Theory into practice

    Our research also points to how some of that shift might be realised in practice. For example, student wellbeing is intimately linked to engagement, because tired, anxious, excluded or overwhelmed students are much less able to engage. When we spoke to university staff about wellbeing support they were generally likely to focus on student services provision. But students highlighted a need for a more proactive culture of wellbeing throughout the institution, including embedding wellbeing considerations into the curriculum and nurturing a supportive campus culture. Similarly, on the themes of community and belonging, while university staff were likely to point to institutional strategic initiatives to cultivate belonging, students talked more about their need for genuine individual connections, especially with peers.

    There was also a strong theme emerging about how institutions think about actively empowering students to have the confidence and skills to “navigate the maze” of higher education opportunities and future career possibilities. Pedagogies of active learning, for example, build confidence and a sense of ownership over learning, contributing to behavioural and psychological engagement. Developing students’ digital literacy means that students can more readily deploy technology to support connection with academics and course peers, make active critical choices about how they invest time in different platforms, and prepare for their future workplace. Before getting exercised about how today’s students do not arrive in higher education “prepared to engage,” it’s worth remembering just how much larger and more complicated the contemporary university is, and with these, the increased demands on students.

    While there is a lot that institutions can do to move forward their student engagement agenda independently, there is also a need for a renewed focus on student engagement from the higher education sector as a whole. The megathemes contributing to shifting student engagement patterns are shared; they are not distinctive to any institution type, geography, or student demographic.

    The promise of higher education – that you can transform your life, your identity and your future through a higher education experience – only holds true if students are willing and able to engage with it. This demands a unified effort from all involved.

    Institutions must prioritise student engagement, placing it at the heart of their strategies and decisions. Furthermore, the higher education sector as a whole must renew its focus on student engagement, recognising its fundamental role in achieving the goals of higher education. Finally, as regulatory bodies evolve their approach to the assessment and enhancement of academic quality, student engagement must once again be put front and centre of the higher education endeavour.

    This article is published in association with evasys. You can download a copy of Future-proofing student engagement here.

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  • HESA’s AI Observatory: What’s new in higher education (January 31, 2025)

    HESA’s AI Observatory: What’s new in higher education (January 31, 2025)

    Transformation of education

    Leading Through Disruption: Higher Education Leaders Assess AI’s Impacts on Teaching and Learning

    Rainie, L. and Watson, E. AAC&U and Elon University.

    Report from a survey of 337 college and university leaders that provides a status report on the fast-moving changes taking place on US campuses. Key data takeaways include the fact faculty use of AI tools trails significantly behind student use, more than a third of leaders surveyed perceive their institution to be below average or behind others in using GenAI tools, 59% say that cheating has increased on their campus since GenAI tools have become widely available, and 45% think the impact of GenAI on their institutions in the next five years will be more positive than negative.

    Four objectives to guide artificial intelligence’s impact on higher education

    Aldridge, S. Times Higher Education. January 27th, 2025

    The four objectives are: 1) ensure that curricula prepare students to use AI in their careers and to add human skills value to help them success in parallel of expanded use of AI; 2) employ AI-based capacities to enhance the effectiveness and value of the education delivered; 3) leverage AI to address specific pedagogical and administrative challenges; and 4) address pitfalls and shortcomings of using AI in higher ed, and develop mechanisms to anticipate and respond to emerging challenges.

    Global perspectives

    DeepSeek harnesses links with Chinese universities in talent war

    Packer, H. Times Higher Education. January 31st, 2025

    The success of artificial intelligence platform DeepSeek, which was developed by a relatively young team including graduates and current students from leading Chinese universities, could encourage more students to pursue opportunities at home amid a global race for talent, experts have predicted.

    Teaching and learning

    Trends in AI for student assessment – A roller coaster ride

    MacGregor, K. University World News. January 25th, 2025

    Insights from (and recording of) the University World News webinar “Trends in AI for student assessment”, held on January 21st. 6% of audience members said that they did not face significant challenges in using GenAI for assessment, 53% identified “verifying the accuracy and validity of AI-generated results” as a challenge, 49% said they lacked training or expertise in using GenAI tools, 45% identified “difficulty integrating AI tools within current assessment systems”, 41% were challenged in addressing ethical concerns, 30% found “ensuring fairness and reducing bias in AI-based assessments” challenging, 25% identified “protecting student data privacy and security” as a challenge, and 19% said “resistance to adopting AI-driven assessment” was challenging.

    Open access

    Charting a course for open education resources in an AI era

    Wang, T. and Mishra, S. University World News. January 24th, 2025

    The digital transformation of higher education has positioned open educational resources (OER) as essential digital public goods for the global knowledge commons. As emerging technologies, particularly artificial intelligence (AI), reshape how educational content is created, adapted and distributed, the OER movement faces both unprecedented opportunities and significant challenges in fulfilling its mission of democratising knowledge access.

    The Dubai Declaration on OER, released after the 3rd UNESCO World OER Congress held in November 2024, addresses pressing questions about AI’s role in open education.

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  • HESA’s AI Observatory: What’s new in higher education (January 17, 2025)

    HESA’s AI Observatory: What’s new in higher education (January 17, 2025)

    Transformation of education

    The McDonaldisation of higher education in the age of AI

    Yoonil Auh, J. University World News. December 11th, 2024.

    Reflection on how AI’s impact on higher education aligns with the principles of McDonaldisation (efficiency, calculability, predictability and control), what opportunities and challenges it creates, and how institutions are responding

    Decolonization

    AI and digital neocolonialism: Unintended impacts on universities

    Yoonil Auh, J. University World News. July 12th, 2024. 

    The evolution of AI risks reinforcing neocolonial patterns, underscoring the complex ethical implications associated with their deployment and broader impact

    Workforce preparation

    As workers seek guidance on AI use, employers value skilled graduates

    Ascione, L. eCampusNews. December 9th, 2024.

    A new Wiley survey highlights that 40% of respondents struggle to understand how to integrate AI into their work and 75% lack confidence in AI use, while 34% of managers feel equipped to support AI integration

    California students want careers in AI. Here’s how colleges are meeting that demand

    Brumer, D. and Garza, J. Cal Matters. October 20th, 2024. 

    California’s governor announced the first statewide partnership with a tech firm, Nvidia, to bring AI curriculum, resources and opportunities to California’s public higher education institutions. The partnership will bring AI tools to community colleges first.

    Let’s equip the next generation of business leaders with an ethical compass

    Côrte-Real, A. Times Higher Education. October 22nd, 2024. 

    In a world driven by AI, focusing on human connections and understanding is essential for achieving success. While AI can standardize many processes, it is the unique human skills – such as empathy, creativity, and critical thinking – that will continue to set individuals and organizations apart.

    How employer demand trends across two countries demonstrate need for AI skills

    Stevens, K. EAB. October 10th, 2024. 

    Study reviewing employer demands in the US and in Ireland to better understand how demand for AI skills differ across countries, and examine if these differences are significant enough to require targeted curricular design by country

    Research

    We’re living in a world of artificial intelligence – it’s academic publishing that needs to change

    Moorhouse, B. Times Higher Education. December 13th, 2024.

    Suggestions to shift mindsets towards GenAI tools to restore trust in academic publishing

    Teaching and learning

    The AI-Generated Textbook That’s Making Academics Nervous

    Palmer, K. Inside Higher Ed. December 13th, 2024. 

    A comparative literature professor at UCLA used AI to generate the textbook for her medieval literature course notably with the aim to make course material more financially accessible to her students – but the academic community reacted strongly

    GenAI impedes student learning, hitting exam performance

    Sawahel, W. University World News. December 12th, 2024.

    A study conducted in Germany using GenAI detection systems showed that students who used GenAI scored significantly lower in essays

    The renaissance of the essay starts here

    Gordon, C. and Compton, M. Times Higher Education. December 9th, 2024. 

    A group of academics from King’s College London, the London School of Economics and Political Science, the University of Sydney and Richmond American University came together to draft a manifesto on the future of the essay in the age of AI, where they highlight problems and opportunities related to the use of essays, and propose ways to rejuvenate its use

    These AI tools can help prepare future programmers for the workplace

    Rao, R. Times Higher Education. December 9th, 2024.

    Reflection on how curricula should incorporate the use of AI tools, with a specific focus on programming courses

    The future is hybrid: Colleges begin to reimagine learning in an AI world

    McMurtrie, B. The Chronicle of Higher Education. October 3rd, 2024.

    Reflection on the state of AI integration in teaching and learning across the US

    Academic integrity

    Survey suggests students do not see use of AI as cheating

    Qiriazi, V. et al. University World News. December 11th, 2024. 

    Overview of topics discussed at the recent plenary of the Council of Europe Platform on Ethics, Transparency and Integrity in Education

    Focusing on GenAI detection is a no-win approach for instructors

    Berdahl, L. University Affairs. December 11th, 2024

    Reflection on potential equity, ethical, and workload implications of AI detection 

    The Goldilocks effect: finding ‘just right’ in the AI era

    MacCallum, K. Times Higher Education. October 28th, 2024. 

    Discussion on when AI use is ‘too much’ versus when it is ‘just right’, and how instructors can allow students to use GenAI tools while still maintaining ownership of their work

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  • Alternatives to the essay can be inclusive and authentic

    Alternatives to the essay can be inclusive and authentic

    I lead our largest optional final-year module – Crime, Justice and the Sex Industry – with 218 registered students for the 24–25 academic year.

    That is a lot of students to assess.

    For that module in the context, I was looking for an assessment that is inclusive, authentic, and hopefully enjoyable to write.

    I also wanted to help make students into confident writers, who make writing a regular practice with ongoing revisions.

    Inspired by the wonderful Katie Tonkiss at Aston University, I devised a letter assessment for our students.

    This was based on many different pedagogical considerations, and the acute need to teach students how to hold competing and conflicting harms and needs in tension. I consider the sex industry within the broader context of violence against women and girls.

    The sex industry, sexual exploitation, and violence against women in girls are brutal and traumatic topics that can incite divisive responses.

    Now more than ever, we need to be able to deal well with differences, to negotiate, to encourage, to reflect, and to try and move discussions forward, as opposed to shutting them down.

    Their direction and pace

    During the pandemic, I designed my module based on a non-linear pedagogy – giving students the power to navigate teaching resources at a direction and pace of their choosing.

    This has strong EDI principles, and was strongly led by my own dyslexia. I recognised that students often have constraints on their time and energy levels that mean they need to engage with learning in different patterns during different weeks – disclosing that they “binge watch” lecture videos, podcasts, or focus heavily on texts during certain weeks to block out their time.

    The approach also honours the principles of trauma-informed teaching, empowering students to navigate sensitive topics of gender-based and sexual violence.

    As I argue here with Lisa Anderson, students are now learning in a post-pandemic context with differing expectations, accessibility needs, and barriers including paid work responsibilities.

    The “full-time student” is now something of an anachronism, and education must meet this new reality – there are now more students in paid employment than not according to the 2023 HEPI/Advance HE Student Academic Experience Study.

    We have to meet students where they are, and, presently, that is in a difficult place as many students struggle with the cost of living and the battle to “have it all”.

    Students may not be asked to write exam answers or essays in their post-university life, but they will certainly be expected to write persuasively, convincingly, engaging with multiple viewpoints, and sitting with their own discomfort.

    This may take the form of webpage outputs, summaries, policy briefings, strategy documents, emails to stakeholders, campaign materials. As such, students are strongly encouraged to think about the letter from day one of semester, and consider who their recipient will be.

    They are told that it is easier to write such a letter to somebody with an opposing viewpoint – laying out your case in a respectful, warm and supportive way to try and progress the discussion. Students are also encouraged to acknowledge their own positionality, and share this if desirable, including if they can identify a thinker, document or moment that changed their position.

    Working towards change

    An example is a student who holds a position influenced by their faith, writing their letter to a faith leader or family member, acknowledging that they respect their beliefs, but strongly endorsing an approach that places harm-reduction and safety first. Finding a place of agreement and building from there, and accepting that working towards change can be a long process.

    Another example is a student who holds sex industry abolitionist views, writing to a sex worker, expressing concern and solidarity with the multiple forms of harm, stigma and violence they have experienced, including institutional violence.

    They consider how the law itself facilitates the context that makes violence more likely to occur. This is particularly pertinent at the moment as we experience a fresh wave of digital “me too” and high-profile cases of sexual violence and victim-blaming.

    In this way, students are taught to examine different documents and evidence, from legal, policy, charity briefings and statements, journal articles, books, reports, documentaries, global sex worker grassroots initiatives, news reports, social media campaigns and footage, art, literature, etc.

    By engaging with different types of sources, we challenge the idea that academic material is top of the knowledge hierarchy, and platform the voices who often go unheard, including sex workers globally.

    The students cross-reference resources, and identify forms of harm, violence and discrimination that may not make official narratives. This also encourages students to be active members of our community, contributing to each workshop either verbally or digitally, in real-time, or asynchronously via our class-wide google doc.

    Students are also taught that it is OK to not have the definitive answer, and to instead ask the recipient to help them further their knowledge. They are also taught that it is ok to change our position and recommendations depending on what evidence we encounter.

    Above all, they are taught that two things can be true at the same time: something might be harmful, and the response to it awful too.

    Students responded overwhelmingly in favour of this approach, and many expressed a new-found love of writing, and reading. Engaging with many different mediums including podcasts, tweets, reels, history talks, art exhibitions, gave them confidence in their reading and study skills.

    Putting choice and enjoyment in the curriculum is not about “losing academic rigour”, it is about firing students up for their topics of study, and ensuring they can communicate powerfully to different audiences using different tools.

    Dear me, I wish we had tried this assessment sooner. xoxo

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  • HESA’s AI Observatory: What’s new in higher education (December 1, 2024)

    HESA’s AI Observatory: What’s new in higher education (December 1, 2024)

    Good evening,

    In my last AI blog, I wrote about the recent launch of the Canadian AI Safety Institute, and other AISIs around the world. I also mentioned that I was looking forward to learn more about what would be discussed during the International Network for AI Safety meeting that would take place on November 20th-21st.

    Well, here’s the gist of it. Representatives from Australia, Canada, the European Commission, France, Japan, Kenya, the Republic of Korea, Singapore, the UK and the US gathered last week in San Francisco to “help drive technical alignment on AI safety research, testing and guidance”. They identified their first four areas of priority:

    • Research: We plan, together with the scientific community, to advance research on risks and capabilities of advanced AI systems as well as to share the most relevant results, as appropriate, from research that advances the science of AI safety.
    • Testing: We plan to work towards building common best practices for testing advanced AI systems. This work may include conducting joint testing exercises and sharing results from domestic evaluations, as appropriate.
    • Guidance: We plan to facilitate shared approaches such as interpreting tests of advanced systems, where appropriate.
    • Inclusion: We plan to actively engage countries, partners, and stakeholders in all regions of the world and at all levels of development by sharing information and technical tools in an accessible and collaborative manner, where appropriate. We hope, through these actions, to increase the capacity for a diverse range of actors to participate in the science and practice of AI safety. Through this Network, we are dedicated to collaborating broadly with partners to ensure that safe, secure, and trustworthy AI benefits all of humanity.

    Cool. I mean, of course these priority areas are all key to the work that needs to be done… But the network does not provide concrete details on how it actuallyplans to fulfill these priority areas. I guess now we’ll just have to wait and see what actually comes out of it all.

    On another note – earlier in the Fall, one of our readers asked us if we had any thoughts about how a win from the Conservatives in the next federal election could impact the future of AI in the country. While I unfortunately do not own a crystal ball, let me share a few preliminary thoughts. 

    In May 2024, the House of Commons released the Report of the Standing Committee on Human Resources, Skills and Social Development and the Status of Persons with Disabilities regarding the Implications of Artificial Intelligence Technologies for the Canadian Labour Force.

    TL;DR, the recommendations of the Standing Committee notably include: to review federal labour legislation to protect diverse workers’ rights and privacy; to collaborate with provinces, territories and labour representatives to develop a framework to support ethical adoption of AI in workplaces; to invest in AI skills training; to offer financial support to SMEs and non-profits for AI adoption; to investigate ways to utilize AI to increase operational efficiency and productivity; and for Statistics Canada to monitor labour market impacts of AI over time.

    Honestly – these are quite respectable recommendations, that could lead to significant improvements around AI implementation if they were to be followed through. 

    Going back to the question about the Conservatives, then… The Standing Committee report includes a Dissenting Report from the Conservative Party, which states that the report “does not go sufficiently in depth in how the lack of action concerning these topics [regulations around privacy, the poor state of productivity and innovation and how AI can be used to boost efficiencies, etc.] creates challenges to our ability to manage AI’s impact on the Canadian workforce”. In short, it says do more – without giving any recommendation whatsoever about what that more should be.

    On the other side, we know that one of the reasons why Bill C-27 is stagnating is because of oppositions. The Conservatives notably accused the Liberal government of seeking to “censor the Internet” – the Conservatives are opposed to governmental influence (i.e., regulation) on what can or can’t be posted online. But we also know that one significant risk of the rise of AI is the growth of disinformation, deepfakes, and more. So… maybe a certain level of “quality control” or fact-checking would be a good thing? 

    All in all, it seems like Conservatives would in theory support a growing use of AI to fight against Canada’s productivity crisis and reduce red tape. In another post previously this year, Alex has also already talked about what a Poilievre Government science policy could look like, and we both agree that the Conservatives at least appear to be committed to investing in technology. However, how they would plan to regulate the tech to ensure ethical use remains to be seen. If you have any more thoughts on that, though, I’d love to hear them. Leave a comment or send me a quick email!

    And if you want to continue discussing Canada’s role in the future of AI, make sure to register to HESA’s AI-CADEMY so you do not miss our panel “Canada’s Policy Response to AI”, where we’ll have the pleasure of welcoming Rajan Sawhney, Minister of Advanced Education (Government of Alberta), Mark Schaan, Deputy Secretary to the Cabinet on AI (Government of Canada), and Elissa Strome, Executive Director of the Pan-Canadian AI Strategy (CIFAR), and where we’ll discuss all things along the lines of what should governments’ role be in shaping the development of AI?.

    Enjoy the rest of your week-end, all!

    – Sandrine Desforges, Research Associate

    [email protected] 

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