Teaching Games advocates for replacing traditional, opaque teaching cultures with empirical, data-driven pedagogy. It challenges the "Lecturer’s Fallacy"—the mistake of equating student silence with understanding—and proposes agile, evidence-based methods for managing the classroom.

This book is not just an argument for modernization; it is a practical guide for educators in technical and creative fields to close the loop on student learning through radical transparency and curricular iteration.

Key Ideas

• The Ask Mindset: Shifting from a "broadcast" orientation (delivering content) to an "investigative" orientation (analyzing what students actually understood).
• Zero-Grade Rule: Formative feedback instruments must never be graded for content to ensure students feel safe disclosing their actual confusion.
• The Minimalist Toolkit: Using reproducible scripted workflows (like RStudio) and AI clustering to manage feedback without manual data entry errors.
• Authentic Assessment: Designing tasks that mirror professional reality and resist AI "shortcuts" by rewarding iterative process and persistence.
• Evidence-Based Retention: Moving students away from ineffective "cramming" and toward spaced repetition, interleaving, and generative learning.

Who is this book for?

• Educators and Lecturers: Particularly those in technical or creative fields looking to improve student engagement and mastery.
• Institutional Leaders: Those interested in "closing the loop" on student learning through radical transparency and curricular iteration.
• Teaching Assistants: Individuals looking for actionable methods to handle large volumes of qualitative student feedback efficiently.

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