For Institutions

Supportive interventions in the form of strategic reviews, providing face-to-face or online workshops for professional development, and learning design. These are usually sustained interventions.
Research

Research projects have included work on POISE, DiAL-e, SOLE Model, 3V model, the 8 Stage Learning Development Framework (8-SLDF), and educational taxonomies. Most of this work is open access.
Learning Development

Professional development has been at the core of my strategic engagements with institutions, and I am thrilled to be able to share some of these things in my writing, academic posters and stand-alone courses.
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 It presents a 12-month action plan for Deputy and Pro Vice-Chancellors that includes naming outdated curricula as a key challenge, conducting thorough audits, and implementing rapid reform pathways.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…
From Content Delivery to Learning Architecture: The New HE Paradigm.
Higher education is shifting from a traditional transmission model to intentional learning design, emphasizing active knowledge construction and mastery. Research supports the effectiveness of active learning, while Learning Design emerges as a critical discipline. The pandemic and Generative AI have accelerated this transformation, redefining educators as Learning Architects focused on curated, purposeful learning experiences.


