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AI and problem-based learning

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Presentation

EU Blended Intensive Programme · Thomas More Hogeschool · 11 March 2026

Invited presentation for students participating in an EU-funded Blended Intensive Programme

Overview

A presentation for students asking a central question: when AI can produce the artifact, what is the work?

The session starts from the observation that traditional assessment relied on the effort required to produce an artifact as a proxy for learning, and that AI has broken that proxy. The question isn’t how to stop students using AI; it’s what meaningful engagement looks like when AI is available and able to create all proxies for learning.

The presentation examines:

  • What problem-based learning already does differently (centring engagement over artifact quality, distributing authority to the learner, and making reasoning visible)
  • How AI changes what’s possible within PBL (harder problems become accessible, AI joins the group as a thinking partner)
  • What it means for students to act as orchestrators of inquiry rather than just users of a tool.

The session closes with three practical shifts immediately available to students.

Slides

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Continue reading

  • YAML

    YAML is a human-readable format for storing structured data as plain text. In knowledge management and publishing workflows, it appears most commonly as the frontmatter block at the top of markdown files, where it holds metadata — title, author, date, tags — that tools can read without parsing the document itself.

  • Distributed version control

    Distributed version control is an approach to tracking file changes where every contributor holds a complete copy of the repository and its full history, rather than depending on a central server. It enables offline work, parallel development, and resilience against data loss.

  • Git

    Git is a distributed version control system that tracks changes to files over time. It records who changed what and when, allows you to move between earlier and later states of a project, and lets multiple people work on the same files without overwriting each other's contributions.

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