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Discipline Orientation as a Design Act

The article discusses how faculty and learning designers often overlook student misconceptions when designing courses, leading to obstacles in understanding vital concepts. It introduces the Four Quadrants approach, which poses student-centered questions to address these misconceptions, clarify the discipline, and create coherent, transparent course structures for better learning outcomes.

Practice Note 3: Making Lectures Work

Traditional whole-group teaching is prevalent in higher education but often ineffective for deep understanding. Practice Note No. 3 emphasizes that lectures are a design challenge. Active learning boosts student performance. By focusing on cognitive engagement and employing strategies like polling and discussions, educators can enhance lectures to foster real-time understanding.

The Student Inclusion Model

Course design teams often rely too heavily on academic entry requirements, inadvertently building curricula for an idealised student cohort that mirrors their own background. To address this structural problem, the Student Inclusion Model (derived from the work of Taylor and May) provides a framework for understanding the diversity of actual learners. It challenges educators to…

The Tuition Trap: How Dependence Became Fragility

Revenue diversification efforts often fail due to persistent tuition dependence, which hampers institutional capacity. Governance structures and cultures focused solely on enrolment growth hinder diversification strategies. The key issue lies in governance reform; without it, institutions will struggle to effectively diversify their revenue beyond financial limits.

Practice Note 2: Useful Learning Outcomes

This Practice Note addresses why learning outcomes in higher education are often ignored and how educators can transform them into practical tools for course design. To move beyond treating outcomes as mere administrative requirements, the note champions constructive alignment, ensuring that intended learning outcomes (ILOs), teaching activities, and assessments are coherently linked. The guide identifies…

The case for personas: designing for students, not content

The article emphasizes the importance of developing student personas in learning design, arguing against generic archetypes. It advocates for tailored course creation that accommodates diverse student capabilities. This proactive approach enhances inclusion, reduces structural friction, and improves efficiency, ultimately benefiting institutions while contradicting the notion that personas reinforce biases.

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…

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…

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