This theme focuses on student transitions as critical moments where equity, belonging, and academic standards are enacted through curriculum and assessment design.

Enhancing the student experience sits at the heart of my work as a senior academic who has spent over 25 years researching and teaching non-traditional learners in higher education. My approach is grounded in evidence about how diverse students actually succeed, shaped by theories of learning that challenge deficit models.

Carol Dweck's research on growth mindset fundamentally influenced my thinking: students don't arrive with fixed capacity they develop capability through appropriate challenge, support, and environments that position struggle as learning, not failure. Ormond Simpson's work on retention in distance education what he termed a "Darwinist" view where institutions design for strongest and let others fall away crystallised what I've observed across the sector: too often, when students don't succeed, institutions assume the student wasn't "ready" rather than examining whether institutional design created unnecessary barriers.

My work examines a different question: how do we design learning environments that enable diverse students to succeed, rather than selecting for those who already fit institutional norms?

Evidence-Based Approaches to Partnership

At Arden University, I developed an approach to first-year induction informed by research on transition and belonging. Rather than designing induction for students based on institutional assumptions, it was co-created it with students through a Learning Summit bringing together academics, professional services staff, and current students.

What emerged wasn't a welcome week it was recognition that "induction is a process," not an event. Research on student transition demonstrates students don't arrive ready and proceed smoothly they navigate ongoing adjustment: understanding academic expectations, building confidence, connecting with peers, managing competing commitments. This approach created a toolkit for success accessible throughout first year, not just September.

This partnership approach informed my subsequent work. At Sheffield Hallam, as external consultant, I ensured student experience quality across SHU Online provision, including reviewing induction approaches. At DMU, I revised the existing induction provision for distance learners resulting in measurably improved student satisfaction scores. Subsequently, I led re-development of Basecamp, DMU's central digital ecosystem supporting induction enhancing the unified institutional approach where previously each faculty had operated separately.

The consistent pattern: students are experts in their own experience, and partnership that centres their insights produces better outcomes than institutional assumptions about student needs. This work, presented at Advance HE's Teaching and Learning Conference, demonstrated what research consistently shows about effective induction design.

Data for Support, Not Surveillance

Learner analytics offers significant potential and substantial risk. Research on surveillance in education highlights how data collection can intensify institutional control rather than supporting learning.

At DMU, leading work on predictive analytics and personalised learning experiences, I've focused on evidence-informed ethical practice. The research question isn't "what can we measure about students?" but "what information enables more effective support, and how do we use it ethically?"

Through presentations at Jisc Digifest and UCL Educate, I've explored how data can support student experience in online learning environments without reducing students to dashboards. Evidence-based principles include:

Using data to identify students who might benefit from additional support research on early intervention demonstrates timely support improves outcomes, but only when offered sensitively, not imposed.

Creating personalised learning pathways that respect different entry points, prior experiences, and pacing needs evidence shows one-size-fits-all approaches disadvantage students with non-traditional backgrounds.

Making progression visible to students themselves research on self-regulated learning demonstrates students who understand their own development are more likely to persist.

Building in student agency evidence shows support is most effective when students control how they engage with it.

Designing for Diverse Realities

My work building flexible provision across three universities has been informed by research on widening participation and non-traditional learners. Traditional campus provision assumes: full-time availability, ability to relocate, financial capacity for accommodation, predictable schedules, separation of "study time" from work and caring responsibilities.

Research demonstrates these assumptions exclude significant populations: mature students, carers, those in precarious employment, and many first-generation learners. The equity question is therefore: how do we design learning that accommodates diverse lives, rather than requiring diverse students to conform to institutional norms designed for traditional cohorts?

At Arden, creating blended learning provision serving 25,000 students meant designing for people balancing study with full-time work, caring responsibilities, and unpredictable circumstances. At Sheffield Hallam, building SHU Online from foundation alongside establishing 5 blended learning campuses meant addressing accessibility barriers not just physical access, but time, location, and financial constraints. At DMU, developing Basecamp as a central digital ecosystem meant creating consistent induction support for students entering through diverse pathways whether distance learning, blended, or campus-based rather than requiring students to navigate different systems depending on their mode of study.

Simpson's research on distance education retention demonstrates this isn't about lowering standards it's recognising that academic rigour and flexibility aren't opposites. Both are essential for equitable education.

Supporting Transition and Belonging

Research on student retention consistently demonstrates that belonging matters. Students persist when they feel they belong in higher education, when they can see themselves succeeding, when they have peers and staff who understand their circumstances.

For non-traditional learners, research shows specific challenges:

Navigating not just academic content, but academic culture without family experience to reference or decode institutional expectations.

Managing imposter syndrome intensified when student cohort profiles, teaching examples, and institutional language centre traditional students' experiences.

Balancing multiple identities student, employee, parent, carer research shows this creates cognitive load and time poverty that disproportionately affects non-traditional learners.

My work on student experience has therefore focused on creating structures that enable belonging for diverse students not through diversity initiatives that position difference as deficit, but through redesigning core provision to genuinely accommodate diverse circumstances.

What Research Reveals About Current Approaches

Evidence from across the sector reveals concerning patterns:

Metrics replacing understanding. NSS scores and retention rates tell us something occurred, not why or how to respond meaningfully. Research on student engagement shows that metrics often miss what matters most to students.

Individual deficit framing. When students struggle, research shows institutions typically ask "what's wrong with this student?" rather than examining whether institutional design creates barriers. This deficit model contradicts Dweck's evidence about how students actually develop capability.

Technology as solution without pedagogical purpose. Research demonstrates that implementing learner analytics dashboards without addressing underlying pedagogical approaches produces limited benefit.

Student voice as consultation theatre. Research on student partnership shows meaningful involvement requires genuine power-sharing, not feedback collection.

Evidence-informed student experience work requires institutional commitment to designing for diversity, grounded in research about what actually enables diverse students to succeed.

Key Insights from Practice

Through research-informed work spanning induction co-creation, learner analytics implementation, and building provision serving over 40,000 students across three universities, evidence demonstrates:

Students are experts in their own experience. Research on partnership shows genuine co-creation produces better outcomes than institutional assumptions.

Data can enable personalised support when used ethically, with student agency, informed by research on self-regulated learning and early intervention.

Supporting diverse students requires evidence-based institutional flexibility, challenging deficit models that position difference as deficiency to remediate.

Where This Work Continues

Current research questions shaping my work include:

How do we implement learner analytics that genuinely supports diverse students, informed by research on ethical data use and student agency?

What does genuine partnership with students look like, based on evidence about power-sharing and co-creation?

How do institutions design for the students they actually serve, informed by research on widening participation and non-traditional learners?

If you're working on evidence-informed student experience work whether through learning design, academic development, or institutional strategy I'd welcome the conversation.

Presentations & Publications

Conference Presentations:

🎤 Using Student Data to Support a More Personalised Learning Experience Jisc Digifest, 2024 With colleagues from Lancaster University

🎤 Using Data to Support the Student Experience in Online Learning UCL Educate, June 2020 Invited speaker

🎤 "Induction is a Process": Supporting First Year Transition Advance HE Teaching and Learning Conference, June 2020 , Arden University Conference programme

References

Dweck, C. S. (2006). Mindset: The new psychology of success. New York: Random House.

Simpson, O. (2013). Supporting students for success in online and distance education (3rd ed.). Abingdon: Routledge.