Beyond the "one-size-fits-all" model: Our new self-diagnostic study skills tool for online postgrads
I am pleased to share the work-in-progress poster that we will be presenting at the upcoming University of Hull Teaching & Learning Conference in July 2026.
Our poster, titled "Self-diagnostic Study Skills tool for online PGT students," represents a scalable continuation of our earlier work in student interventions, bridging the gap between intentional pedagogical framework design and systemic learning architectures.
Below is an overview of the challenges we are addressing, how the digital framework operates, and an open invitation for peer feedback.
View the conference poster
The challenge & why it matters
Online, part-time taught postgraduate (PGT) students represent a unique typology of distance learners. They are overwhelmingly mature, time-poor, and balance intense professional and life responsibilities alongside their academic goals.
Wider UK research highlights that these returning students frequently encounter distinct confidence barriers, shifting professional-to-academic identities, and high cognitive load. Within asynchronous distance learning environments, mature students often mask support needs until a critical assessment checkpoint. Our tool aims to introduce a soft, early diagnostic intervention to combat isolation and scaffold self-direction.
How the tool works
Rather than offering passive, generic study skills repositories, this intervention focuses on a digital self- diagnostic tool built around an empirical Eight-Domain Framework:
- Academic Writing
- Critical Thinking
- Referencing
- Reflection
- Presentations
- Time Management & Goal Setting
- Stress Management & Self Care
- Avoiding Plagiarism
The personalised recommendation pathway
The self-diagnostic tool follows a three step process to aid learners in their skill development:
Self-Assessment: Students rate their confidence and competence across these eight distinct domains.
Analysis & Personalised Output: The system bypasses standard information noise to clear away the clutter, mapping out a tailored summary of strengths and development areas.
Targeted Interventions: Learners receive a personalised recommendation pathway that instantly signposts them to curated asynchronous micro-resources, refers them directly to 1-to-1 academic skills tutors, or highlights assessment-aligned strategies and ethical, AI-enhanced guidance loops.
Evaluation design & early findings
We are utilising a mixed-methods evaluation strategy to measure efficacy and platform usability:
Quantitative Metrics: Tracking tool-use analytics, domain-level confidence scores, and downstream uptake of micro-interventions.
Qualitative Metrics: Post-use surveys and voluntary semi-structured interviews exploring user perceptions of curriculum relevance and impact on assessment preparedness.
Emerging findings from initial pilot data suggests the tool is highly valued for its clarity, effective in early surfacing of unmet academic skills gaps, and instrumental in promoting reflective self-awareness before assessments are due.
Sector engagement: Your feedback welcome!
Because this remains a work-in-progress, our primary goal at the conference is to open up our framework to peer review. Whether you are attending the poster session in person or reading online, we would highly value your feedback and dialogue around three critical areas:
- The validity of the framework: Does an eight-domain diagnostic taxonomy comprehensively map the fluid, modern academic realities and affective spaces of postgraduate online learners?
- Learning analytics infrastructure: What are the operational opportunities and systemic risks of embedding this type of tool within wider university data architectures to drive early, automated institutional interventions?
- Engagement mechanics: What specific behavioral or pedagogical strategies are most effective at sustaining long-term engagement with self-directed diagnostic tools within fragmented, asynchronous cohorts?
Join us at the poster session
If you are attending the University of Hull Teaching & Learning Conference this July, please visit our poster session to discuss these digital learning architecture challenges! If you cannot make it, please feel free to leave your thoughts in the comments or connect via LinkedIn to share your perspective.
