Community forums

Discussions for Module 1. One topic per lesson, plus final reflections. Post in the text field rather than as an attachment, and respond to at least one colleague. What you write here is visible to all participants in the programme.

Students already hear about generative AI from their peers, their feeds and their other courses. This module is about making that use visible, ethical and useful in a HyFlex classroom, in every mode. Three lessons and a wrap-up. Lesson 1 sorts out what "AI" refers to, why generative AI is the kind that matters for teaching, and the five big-picture considerations, with two mindsets, that belong in view before any tool touches a course. Lesson 2 puts the tool to work as a co-designer: backwards design from a unit's outcome, eight design areas, and a clear line between what the tool drafts and what the instructor keeps. Lesson 3 turns to the other side of the desk: ten ways students use these tools, the A.U.D.I.T. prompt chain, sequencing and equity, and two ethical cases with no comfortable answer. Each lesson opens with a short audio briefing, works through interactive walkthroughs and figures, and ends with an AI-supported task you keep: an accessibility review of a colleague's plan, an audited unit roadmap, a student guide with its prompt chain. Knowledge checks close every lesson; a ten-question quiz closes the module. About four hours in total. The thread throughout: augmenting, not replacing. The discussion space for Module 3. Three topics, one per lesson: an accessibility review of a colleague's plan, a defence of an ethical decision under a deadline, and a student case with your own plus-one guide. Post as text, not as attachments. Read before you write, and reply with the three questions each lesson gives you: what works, what worries you, what you would borrow.

Discussion space for the four lessons in Module 5. Post your work, read what colleagues have done, and respond to at least one other person.

HyFlex gives students a powerful gift, the choice of how to participate; but flexibility alone does not guarantee effectiveness. This module asks how we know whether a HyFlex design actually works, and gives you the frameworks, tools and habits to find out. Four lessons and a wrap-up. Lesson 1 asks why: equity across modes, engagement and experience, faculty reflection and sustainability, institutional accountability, and the key indicators that go beyond attendance. Lesson 2 is the how: Kirkpatrick's Four Levels and Beatty's principles of access, equivalency and engagement; surveys, focus groups, LMS analytics, performance data and peer observation; what AI adds through text analysis, sentiment, prediction and dashboards; and why no single tool tells the whole story. Lesson 3 is a case: an Introduction to Psychology course in HyFlex, three data sets, AI-supported analysis, and an action plan you write from the evidence, followed by the cycle of patterns, improvements and monitoring. Lesson 4 is your own plan: evaluation questions, framework, tools, analysis, privacy and an improvement cycle, built with an AI-supported planner and shared with colleagues. Three instructors, Clara, Jamal and Ewa, accompany you through every lesson, and three stakeholders keep asking hard questions. Every lesson has an audio briefing with a transcript, an AI-supported tool you keep, a forum task and a five-question knowledge check; a ten-question quiz closes the module. About four and a half hours in total. The line that runs through the module: we cannot improve what we do not measure. The discussion space for Module 7. Five topics: what you measure and what you miss, the framework and two tools you would start with, action plans for the Introduction to Psychology case, your own evaluation plan, and the one tool you will commit to trying. Post as text, not as attachments; never include student names or identifiable data. Read before you write, and reply with the three questions each lesson gives you: what works, what worries you, what you would borrow