Blog

How does an MBA shape leaders’ sense of purpose and meaningful work? This blog explores new research revealing how postgraduate management education influences identity, confidence, values, and leadership trajectories.

This blog reflects on a pilot project introducing whole group verbal feedback, exploring its potential to reduce isolation, support belonging, and build student confidence. Consideration will also be given to its effectiveness, outcomes, workload, and wider implications.

As a former police officer and current Open University lecturer, Stephen Moss advances the view that thoughtful, analytical reflection - questioning assumptions about ourselves, others, and our work - can transform professional practice.

What changes when tutors with personal and meaningful experience of dyslexia (TPMEs) utilise their lived experience? This scholarship shows how their own experience of dyslexia improves student support, informs assessment practices, and contributes to inclusive higher education environments.

This blog explores The Harper (2025) Reflexive Leadership Model - which reimagines AI-era leadership, placing ethical reflexivity, governance and adaptive experimentation at its core.

“Basically, you don’t speak my language”, said a student during the Open University Law School Student Voice Festival, 2024. This left the project team thinking about the student experience and whether we fully supported neurodiverse students.

This blog traces what happened when we invited AI into our writing process for a conference submission. What followed was part confidence boost, part reality check, and part recognition that navigating AI in academia is an evolving, unfinished process.

Working together with students enhances our own teaching and learning. In this piece, Dr Sophie Doherty and Mel Holmes share their experiences and offer three top tips for working with students as partners.

AI can support leadership development, but only with safeguards. This blog explores the real risks of AI-supported learning, including inaccurate outputs, hidden bias, over-automation, and the erosion of human judgment.