New Online Course: The Hague Network MOOC on AI & Didactics

The Hague Network is launching a new online MOOC on AI & Didactics, designed specifically for teachers and professors in higher education. This course offers a practical, critical introduction to AI literacy, assessment design, equity, and emerging teaching practices in the age of AI.

Register here: https://forms.office.com/e/qpqFHfn5ML

The MOOC runs from 24 March to 26 May and consists of eight live online sessions (60 minutes each), led by experts from partner universities across Europe. Sessions include topics such as AI in teaching and assessment, student perspectives on AI, inclusive and ethical use of AI, automating research, creating custom AI agents, and an optional capstone workshop to redesign your own AI-aware teaching materials .

Each session combines short presentations with interactive elements and moderated Q&A, making it easy to apply insights directly to your own courses.

👉 Registration is now open: https://forms.office.com/e/qpqFHfn5ML Teachers and professors interested in strengthening their AI literacy and future-proofing their teaching are encouraged to register and join the sessions.

The sessions:

🎓 Session 1 — Foundation of the course & Implementing AI in Teaching: A Critical Thinking Approach

Claudia Diers-Linke & Tamara Lewis, The Hague University of Applied Sciences

An opening session that builds community through introductions and establishes a shared foundation for AI literacy by outlining seminar goals and exploring discipline-neutral scenarios of AI use for teachers and students.

Andrea Holešinská, Masaryk University

Discover how AI can strengthen rather than shortcut critical thinking. This session dives into real classroom practice, showing how prompt wording—and even language choice—shapes AI output. Through hands‑on comparisons in participants’ native languages, you’ll uncover hidden biases, mistranslations, and cultural nuances. Expect an active, eye‑opening exploration of how to use AI as a tool and a topic for critical inquiry.

🎓 Session 2 — AI Through Students’ Eyes: A Roundtable on AI Literacy

Student-led session

Step into your students’ world. In this role‑reversal session, students share how they actually use AI—what helps them learn, what confuses them, and where they push boundaries. Teachers listen, ask questions, and gain an unfiltered view of real practices across disciplines. This is a rare chance to recalibrate assumptions and understand the literacies students are already developing.

🎓 Session 3 — Adapting Teaching and Learning Methods to the AI Era

Sami Sohonen, Tampere University of Applied Sciences

Generative AI is reshaping what counts as authentic student work. This session shows why unsupervised assignments are becoming unreliable—and what to do instead. You’ll explore assessment designs that emphasize experimentation, collaboration, and deeper reasoning. Along the way, you’ll see how AI can act as a personalised tutor and problem‑solving partner. Expect interactive moments and concrete examples you can apply immediately.

🎓 Session 4 — New AI Learning Formats: Teaching through Comics and Podcasts

University Francisco de Vitoria

AI literacy doesn’t have to be dry. UFV presents their innovative comic and podcast series Beyond the Algorithm, designed to help teachers engage with AI concepts through storytelling and accessible media. You’ll explore how creative formats can make AI training more relatable, memorable, and fun—and consider how similar approaches could enrich your own teaching.

🎓 Session 5 — Equity and Inclusion through AI: Supporting Diverse Learners Responsibly

Naomi McLaughlan, Rhein-Waal University of Applied Sciences

AI can widen access—or widen gaps. This session helps you navigate both sides. Through short examples and guided reflection, you’ll examine how adaptive technologies can support multilingual, neurodiverse, and otherwise diverse learners, while staying alert to embedded biases. You’ll leave with practical strategies for using AI tools ethically and inclusively in your own teaching.

🎓 Session 6 — Automating Academic Research: Challenges and Opportunities for University Teaching

Roberto di Quirico, University of Cagliari

Research is entering an era of semi‑automated and fully autonomous “Artificial Researchers.” This session demystifies the tools already reshaping literature reviews, data analysis, and knowledge production. You’ll explore what this means for teaching—especially the new skills Master’s and PhD students need—and reflect on how “Artificial Teachers” may soon support or complement your own role. A forward‑looking session for anyone preparing students for the future of scholarship.

🎓 Session 7 — Making Custom Bots, GPTs, Gems & Agents for Teaching

Chris Bell, University of Derby

Curious how simple AI agents can support curriculum design? This practical session demonstrates how tools like MS Copilot can map professional competencies to learning outcomes, suggest aligned assessments, and spark deeper pedagogical reflection. You’ll see live examples of agents translating complex requirements into clear teaching strategies—showing how AI can act as a catalyst for more thoughtful course design.

🎓 Session 8 — Capstone Workshop: Designing Your Own AI Intervention

Hands‑on workshop

Turn inspiration into action. In this final, optional workshop, you’ll create one concrete output tailored to your own course or programme—an AI‑aware assignment redesign, a student activity, or a syllabus policy paragraph. Guided prompts and peer exchange help you transform ideas from the seminar series into a ready‑to‑use teaching intervention.