Ideas Worth Sharing
Ideas about reclaiming learning as a living process — where education evolves like a system, not a syllabus.
Articles and frameworks exploring how we can build conditions for shared growth — where teachers and students learn side by side, shaping not just what they know, but how they come to know it.
Articles
Recent Publication
"The Ethics of Literacy in an AI World"
Argues that treating literacy as reading and writing is not just outdated but ethically harmful. Shows how meaning is already multimodal and how narrow definitions of literacy limit who gets to make and question meaning. Connects multimodal literacy to AI ethics, suggesting that ethical agency begins with recognising how meaning is designed across text, image, sound, data, and interface. Calls on institutions to expand what counts as literacy so learners can understand and shape the systems that shape them.
Read on LinkedIn open_in_new"Don't Start With the Chatbot"
Argues we shouldn't start AI education with chatbots but with thinking. Challenges the focus on cheating, advocating instead for play-based learning that builds critical thinking before tool access. Introduces game prototypes like RePrompted that teach prompting without AI.
Read Article open_in_new"VERIFY: A Framework for Teaching Students to Think With AI"
Introduces VERIFY as a six-step thinking cycle to help students maintain control when using AI. Argues the real risk isn't AI misuse but intellectual surrender - when we stop thinking and let AI do the work for us instead of with us.
Read Article open_in_new"Data Power: The Missing Piece in Digital Literacy"
Challenges the myth that technology is just an "add-on" tool. Argues students need to understand how their digital footprints are shaped, how data flows invisibly, and how AI systems influence their worldview - moving from digital users to digital shapers.
Read Article open_in_new"The Ethical Prompting Feedback Loop"
Argues the real issue isn't AI cheating but the invisible emotional and ethical dynamics in every AI interaction. Introduces a 6-step model to help students track what happens inside them when they prompt: Feeling → Intent → Prompt → Output → Consequence → Reflection.
Read Article open_in_new"Beyond the Buzzword: What 'Ethics' Really Means for AI in Education"
Challenges how "ethics" gets used as a buzzword to sound responsible without real meaning. Argues ethics aren't delivered through policies but lived through daily classroom practice - how you model questioning, what you allow, and how you guide students to think critically.
Read Article open_in_new"This Is How We Build Better Thinkers"
Observes how students often freeze when research hits obstacles (paywalled articles, broken links). Argues the key is teaching students to "shift, not stop" - using AI as a sounding board, working backward through reference lists, and making research their own.
Read Article open_in_newFrameworks
VERIFY Framework
A thinking routine that transforms how students evaluate AI responses. The six steps help learners maintain critical thinking while using AI as a collaborative tool.
Impact: Students catch AI mistakes they used to miss completely
Ethical Prompting Feedback Loop (EPFL)
A reflection experience that builds habits of intentional AI use. Helps learners pause and think about their choices before, during, and after AI interactions.
Impact: Transforms impulsive AI use into thoughtful collaboration
School Reference Helper
Practical approach to AI citation that maintains academic integrity while embracing AI as a research partner. Makes the invisible visible in student work.
Impact: Students learn transparency in AI-assisted research
RePrompted
Unplugged card game that makes AI prompting concepts tangible and accessible. Students build AI literacy through collaborative gameplay without screens.
Impact: Transforms abstract AI concepts into hands-on learning