For Institutions
Supportive and sustained interventions in the form of strategic reviews, providing face-to-face or online workshops for professional development, and curriculum design.
Learning Design Hierarchy
The Learning Design Hierarchy is a structured approach to the different layers of learning design interactions, from Philosophy, Principles, Framework, Models and Patterns
Research
Research is an area of ongoing interest, including the extension of my educational taxonomies and other conceptual frameworks such as the £V model.
New Practice Notes for Teaching Practitioners
I’m delighted to announce the launch today of a series of weekly Practice Notes for learning and teaching faculty, lecturers, and teachers in tertiary or higher education contexts. These PDFs are free to download and share with your colleagues. The first issue is giving feedback that students will actually use. The next issue will deal…
Is your institution stuck diagnosing the AI problem without a clear roadmap for action?
The article emphasizes the urgent need for academic leaders to address curriculum inertia in the age of AI. It presents a 12-month action plan for Deputy and Pro Vice-Chancellors that includes naming outdated curricula as a key challenge, conducting thorough audits, and implementing rapid reform pathways.
Is your university’s governance architecture actively blocking your AI curriculum strategy?
The piece discusses how traditional academic governance is failing to adapt to the rapid impact of AI on curricula. It identifies three primary failures: slow review cycles, unclear ownership of AI initiatives, and a focus on compliance rather than transformation. Senior leadership must lead changes to effectively respond to these challenges.
Are we mistaking activity for strategy when it comes to AI in higher education?
Senior leadership discussions on AI often overlook the critical issue of curriculum inertia in higher education. As the labor market demands AI fluency, many graduates feel unprepared. Institutions risk falling behind in graduate employability, student retention, and reputation unless they adapt their degree programs swiftly to meet these changes.
Most universities are still designing courses the way they always have …
Many universities continue to design courses focused on lecturers rather than learners. The latest Substack discusses shifting to a collaborative and transparent model, addressing topics like academic autonomy, neuro-inclusive design, the importance of institutional memory, and the challenges posed by the AI divide. This ongoing series supports an 8-Stage Learning Design Framework.
From Panic to Practice: What Does an AI-Ready Curriculum Actually Look Like?
Following up on last week’s post about higher education focusing on the wrong AI emergency, my latest Substack shifts from the problem to the solution. If we want graduates to thrive in an AI-integrated world, a generic “AI literacy” module won’t cut it. Instead, we need to develop professionals who can think and work alongside…