Tag: Mode

  • Student engagement does not work if institutions are stuck in survival mode

    Student engagement does not work if institutions are stuck in survival mode

    The current state of UK higher education in 2025 is marked by an existential crisis, rather than merely a series of difficult challenges.

    This crisis comes from the inherent tension of attempting to operate a 20th century institutional model within the complex realities of the 21st century. This strain is exacerbated by complex socio-economic difficulties facing students, coupled with the immense pressures experienced by staff.

    A city under siege

    Conceptualising UK HE as a “city”, it becomes evident that while valuable as centres of learning, community and potential, this “city” is currently under siege and there is a “dragon at the gates”. The “dragon” represents a multifaceted array of contemporary pressures. These include, but are not limited to, funding reductions, evolving regulatory demands and the escalating cost-of-living crisis. Empirical research indicates that the cost-of-living crisis profoundly impacts students’ capacity for engagement.

    Furthermore, this “dragon” is continuously evolving. With the rapid ascent of artificial intelligence (AI) and the distinct characteristics of Gen Z learners representing two of its newest and most salient “heads”. While AI offers opportunities for personalised learning, simultaneously, it presents substantial challenges to academic integrity and carries the risk of augmenting student isolation if not balanced with human connection. Concurrently, Gen Z learners have learned a state of “continuous partial attention” through constant exposure to multiple information streams. This poses a unique challenge to pedagogical design.

    Defence, survival and the limits of future-proofing

    In response to these multifaceted challenges, the prevalent institutional instinct is to defend the city. This typically involves retreating behind existing structures, consolidating operations, centralising processes, tightening policies and intensifying reliance on familiar metrics such as Key Performance Indicators (KPIs), National Student Survey (NSS) action plans, attendance rates and overall survey scores.

    However, survival mode often means the sacrifice of genuine student engagement. This refers not to the easily quantifiable forms of engagement, but the relational, human dimension, wherein students develop a sense of belonging, perceive their contributions as meaningful and feel integrated into a valuable community. Research consistently demonstrates that this sense of belonging is paramount for psychological engagement and overall student success. Consequently, an exclusive focus on defending established practices, reliant on systemically imposed metrics, risks reinforcing barriers that actually impede connection, wellbeing and the institutional resilience that is critically needed.

    While the concept of “future-proofing” is often invoked, it is imperative to question the feasibility of achieving perfect preparedness against unknowable future contingencies.

    Attack strategies

    Given the limitations of a purely defensive stance, a different strategic orientation is warranted: a proactive “attack” on the challenges confronting HE. Genuine engagement should be reconceptualised not merely as a student characteristic, but as an institutional design choice. Institutions cannot expect students to arrive with pre-existing engagement; rather, they must actively design for it.

    This proactive engagement strategy aligns precisely with the University of Cumbria’s commitment to people, place, and partnerships. These themes are woven through the university’s new learning, teaching and assessment plan, providing a framework for institutional pedagogic transformation.

    Relationships as the bedrock of community

    The “citizens” of our HE “city” – students and staff – constitute its absolute bedrock. Strong relationships between these stakeholders are fundamental to fostering a resilient academic community. A critical institutional challenge lies in ensuring that existing systems, policies and workload models adequately support these vital connections. It is imperative to grant staff the requisite time, flexibility and recognition for their crucial relational work. This represents a shift in focus from a transactional interaction to a relationship-centric approach.

    Understanding the distinct experiences of diverse groups of students (e.g. apprentices, online learners and commuter students) is of critical importance for building meaningful and authentic engagement. Fundamentally, ensuring that students feel “seen, heard and valued” is a key determinant of psychological engagement and a prerequisite for all other forms of learning to take root.

    Designing for inclusive environments

    The concept of “place” encompasses the entire physical and digital environment of the HE institution. Belonging, rather than being an abstract sentiment, possesses a strong spatial and environmental dimension. For institutions like the University of Cumbria, intentional design of consistent environments that cultivate a sense of “This is my place” is paramount. An important tactic in this regard is to build belonging by design, particularly at critical transition points such as induction.

    This notion of “place” is particularly vital for commuter students, who often lack the built-in community afforded by residential halls. For this cohort, the physical campus serves as the primary site of their university experience. A critical assessment of their campus experience between scheduled classes is needed. Are institutional spaces designed to encourage students to remain, study and connect? When students choose to utilise them, these spaces facilitate spontaneous conversations, the formation of friendships, and the organic development of belonging.

    This kind of intentionality is required for digital learning environments. Are virtual learning environments (VLEs) merely content repositories, or are they designed as welcoming community hubs? The creation of inclusive, supportive environments – both physical and virtual – where students feel genuinely connected, is absolutely fundamental to effective engagement. Moreover, clear opportunities exist to strengthen recognition of how an individual’s sense of place can positively impact learning experiences primarily delivered online.

    Partnerships in fostering genuine student experiences

    The final pillar, “partnerships,” refers to the cultivation of alliances within the HE “city”. While “student voice” is frequently championed, research strongly indicates a necessity to move beyond mere collection of voice towards fostering genuine student influence and co-creation. The distinction is crucial: “student voice” may involve an end-of-module survey, whereas “student influence” entails inviting students to co-design assessment questions for subsequent iterations of that module.

    The University of Cumbria’s recent consistent module evaluation approach serves as an exemplary model. Achieving a 34.2% response rate in the first semester of 2024/25, which exceeds sector averages, and, critically, delivering 100% “closing the loop” reports to students, demonstrates a commitment to acknowledging and acting upon all feedback. This provides a concrete illustration of making student influence visible.

    From strategy to action

    This approach is a fundamental paradigm shift: from a reactive, defensive posture focused on metrics to a proactive engagement strategy. This “attack” on the challenges, framed by the University of Cumbria’s distinctive strategic approach, is predicated on three core actions: prioritising People by enabling relational work, designing a sense of Place to foster belonging, and building authentic Partnerships that transform student voice into visible influence. Translating this strategy into actionable practice does not necessitate additional burdens, but rather the integration of five practical tactics into existing workflows:

    1. Rethink what you measure and why: Transition from a “data-led” to a “data-informed” approach. This involves utilising data for meaningful reflection and making deliberate choices to enhance the student experience, rather than reacting defensively to metrics such as KPIs, NSS scores and attendance data.
    2. Build belonging at transitions: Recognising belonging as a critical component of psychological engagement and overall student success, this tactic underscores the importance of intentionally designing key junctures in the student journey, such as induction and progression points, to be inherently inclusive.
    3. Enable relational work: Acknowledging that strong student-staff relationships form the “bedrock” of a resilient academic community, and that staff often face conflicts between fostering these connections and workload pressures, this tactic advocates for formally enabling “relational work”.
    4. Turn voice into influence: Meaningful partnership necessitates moving beyond mere collection of student “voice” to cultivating their genuine “influence”. The critical determinant is not simply whether the institution is listening, but whether substantive changes are being implemented based on student feedback. This can be achieved through the establishment of “visible feedback loops” that demonstrate the impact of student input and leveraging technology to complement, rather than replace, human interaction.
    5. Partnership by design: This final tactic advocates for embedding co-creation with students as an intrinsic element from the initial stages. Rather than being an occasional or supplementary activity, authentic partnership should be structurally integrated, with students actively involved in key decision-making processes.

    The fundamental question facing HE in 2025 – “What is a university for?” – is increasingly met with the unsettling realisation that conventional answers no longer suffice. However, a cautiously optimistic outlook prevails. The answer to this pivotal question lies not in defending existing paradigms, but in actively and courageously constructing a new institutional reality.

    This article has been adapted from a keynote address delivered by Dr Helena Lim at the University of Cumbria Learning and Teaching Conference on 18 June 2025, and has been jointly authored with Dr Jonathan Eaton, Pro Vice Chancellor (Learning & Teaching) at the University of Cumbria.

    For further insights into the research underpinning these arguments, the “Future-proofing student engagement” report is available here.

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  • Understanding Value of Learning Fuels ChatGPT’s Study Mode

    Understanding Value of Learning Fuels ChatGPT’s Study Mode

    Instead of generating answers, Study Mode asks students questions about what they know.

    Photo illustration by Justin Morrison/Inside Higher Ed | SDI Productions/E+/Getty Images

    When classes resume this fall, college students will have access to yet another generative artificial intelligence tool marketed as a learning enhancement.

    But instead of generating immediate answers, OpenAI’s new Study Mode for ChatGPT acts more like a tutor, firing off questions, hints, self-reflection prompts and quizzes that are tailored to the user and informed by their past chat history. While traditional large language models have raised academic integrity concerns, Study Mode is intended to provide a more active learning experience. It mimics the type of Socratic dialogue students may expect to encounter in a lecture hall and challenges them to draw on information they already know to form their own nuanced analyses of complex questions.

    For example, when Inside Higher Ed asked the traditional version of ChatGPT which factors caused the United States Civil War, it immediately responded that the war had “several major causes, most of which revolved around slavery, states’ rights, and economic differences,” and gave more details about each before producing a five-paragraph essay on the topic. Asking Study Mode the same question, however, prompted it to give a brief overview before asking this question: “Would you say the war was fought because of slavery, or about something else like states’ rights or economics? There’s been debate over this, so I’d love to hear your view first. Then I’ll show you how historians analyze it today.”

    Study Mode is similar to the Learning Mode that Anthropic launched for its chat bot Claude for Education back in April and the Guided Learning version of Gemini that Google unveiled Wednesday. OpenAI officials say they hope Study Mode will “support deeper learning” among college students.

    While teaching and learning experts don’t believe such tools can replace the value faculty relationships and expertise offer students, Study Mode’s release highlights generative AI’s evolving possibilities—and limitations—as a teaching and learning aid. For students who choose to use it instead of asking a traditional LLM for answers, Study Mode offers an on-demand alternative to a human tutor, unbound by scheduling conflicts, payment or feedback delays.

    But in an economy where generative AI’s ability to gather and regurgitate information is threatening the future of entry-level office jobs, students will need to understand what they’re trying to get out of their college coursework if they want Study Mode to deliver on its promise to foster deeper learning.

    “Over all, it does represent a significant departure from how people are normally encouraged to use generative AI, given that the value proposition of this technology is largely couched in the concept of efficiency, speed and offloading things that are not as important,” said Trey Conatser, assistant provost for teaching and learning at the University of Kentucky and director of UK’s Center for the Enhancement of Teaching and Learning. “But Study Mode actually asks us to stick with it for it to work, take some time to sit with the friction of learning and be patient with the practice and feedback.”

    Critical Thinking in Age of AI

    The release of Study Mode comes nearly three years after the debut of ChatGPT—and the many other large language models that have followed—set off ongoing concerns among educators that college students’ increased reliance on traditional LLMs to write papers or solve math problems may erode their critical thinking skills.

    There’s not yet a consensus on if generative AI helps or hurts critical thinking, but at least two studies published in the last year found that adults, including college students, who use LLMs to research and learn about a subject exhibited weaker reasoning and analytical skills. And those may be the exact types of skills the roughly two-thirds who are already using generative AI tools like ChatGPT will need to make Study Mode reach its full potential.

    While ChatGPT’s Study Mode is programmed to query students rather than generate answers, the users themselves also need to be prepared to push the LLM to ask deeper, more nuanced questions. At least, that was Conatser’s experience when he tested out Study Mode over the weekend and asked it to help him study for a hypothetical quiz on Romantic poets from 1780 to 1820.

    First, the LLM asked him more about his education level and the focus of the quiz. He told it that he’s a college junior whose quiz will focus on historical context and specified that he wanted help studying William Wordsworth’s poem “The Prelude.”

    The following conversation, which Conatser shared with Inside Higher Ed, ensued:

    Study Mode: Wordsworth described “The Prelude” as “a poem on the growth of my own mind.” What exact subtitle did he eventually attach to the poem that captures this idea?

    (Give it a try, and we’ll check your answer before moving on.)

    Conatser: That’s not so much what I will need to answer. It will be open book, but I will be asked to provide some interpretations to historical context and literary traditions.

    After some more dialogue asking Study Mode to focus on historical context, it generated the following question:

    Study Mode: “Bliss was it in that dawn to be alive …” Based on that word, “bliss,” what general emotion do you think he felt when he first encountered the early French Revolution—excitement, fear or apathy?

    Conatser: That seems like an obvious question

    Study Mode: Understood—let’s turn up the difficulty. In “The Prelude” (Book X), Wordsworth writes of “how in my heart a dreary weight / Fell, and I turned away …”—a moment that marks his break with the revolution he once celebrated.

    Question (one step): Which single, headline-making event in France during 1793 does this passage point to, and why did that event feel like a betrayal of the revolution’s original ideals for many sympathetic British observers?

    Although it took some prodding to get the LLM to ask the type of questions Conatser wanted to see, “I’m still in the driver’s seat with Study Mode,” he said. “That’s where students are going to need to be when they’re using it.”

    Knowing when to push back against Study Mode when it’s not asking the types of questions that will help students master material will be key to helping them get the most out of its ability to foster critical thinking, Conatser said.

    “If someone is going to be totally passive with Study Mode, it may not drive them to where they need to go and they’ll still need to be thinking about how they’re supposed to be studying, what kind of assessment they’re leading up to and what kinds of skills will be more important for that assessment,” he said. “If you don’t know what you don’t know, then you won’t be very effective at using these tools even if they have the types of guardrails that Study Mode has.”

    And if a student isn’t motivated to use Study Mode to its full potential, they can prompt it to generate complete answers, just like a traditional LLM, according to Christian Carmody, a senior researcher at the Research Institute for Learning and Development, who also tested it out this week.

    “For a current events assignment, I prompted Study Mode right away and told it, ‘Before we engage, I do not want your help with this or [to] encourage me to think through this. I do this on my own another time. I really just want the answers,’” Carmody recalled. “It did exactly that.”

    The ability for students to easily manipulate Study Mode could add more pressure to colleges and universities that are facing growing skepticism from students about the value of degrees in the age of AI.

    “Students should be able to think about why learning is valuable to them and why they should be able to engage with material in a way that’s challenging and force deep thinking,” he said. “Until a student has that mindset, I’m not confident that they are going to use this study and learning tool in the way it’s intended to be used.”

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