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HBO/WO

MBO

September 21, 2026

AI Literacy for Lecturers

AI Literacy for Lecturers selfpaced online course by Teaching and Learning Services, TU Delft.

Website

Judith Kesler-van der Lugt

August 13, 2026

Process – Quality checks in the digital educational resources cycle

This document describes the quality assurance process for digital educational resources at HAN and the elements required to make that process reliable, repeatable, and practical. It includes 1. The procedure for quality assurance of digital educational resources; 2. The HAN quality model for digital educational resources; 3. Guidelines and a template for (peer) review of digital educational resources; 4. An explanation of how to apply the quality model and (peer) review within the educational resources cycle.

Document

Marijn Post, Marja Versantvoort

June 9, 2026

Handout - TR3CA: Evaluation of your (AI-assisted) literature search

These are the Transparency & Reproducibility, Relevancy, Reliability, Coverage, Accuracy (TR3CA) evaluation criteria to evaluate whether results from an (AI-assisted) literature search are trustworthy and appropriate for your research.

Document

Anna-Lena Hoh, Marieke Schor, Floor Ruiter, Candan Yılmaz

May 5, 2026

Collaboration and Personal Development

In this reader, a teaching programme (assignments, underlying models and theories) is described to develop collaborative skills in a transdisciplinary-oriented educational context in between science and society. The focus lies on creating awareness about mechamisms that promote pleasurability, effectiveness and responsibility in professional collaborative practices. The MSc course for which it was created, is called Academic Consultancy Training, taught at Wageningen University and Research

Document

Marjan Wink, Michel Kropman, Valentina Tassone

April 11, 2026

The Refurbishment of Channel 4

In this video, Peter van de Rotten describes in detail the refurbishment of a 1990s high-tech glass facade at Channel 4's headquarters in London. The original design used a double-curved cable net with point-fixed suspended glass panels. Over time serious safety issues emerged, namely damaged glass and fixings displaced by up to 50mm which threatened sudden energy release and possible collapse. To safely disassemble the facade, the team introduced a third load path, supporting each glass panel from the top steel crown, and designed special clamps to secure cable fixings. The disassembly was carried out in a carefully controlled sequence to safely remove and replace the different elements and components. Key challenges included extremely tight tolerances (down to 20 micrometers), mixing old and new materials, and avoiding stress around glass holes. The team chose to preserve the original facade shape to prevent unpredictable behavior. The video was produced by the Open GLASSroom project. Special thanks to Peter van de Rotten for contributing to the Open GLASSroom OER collection. The creation of these resources has been (partially) funded by the ERASMUS+ grant program of the European Union under grant no. 2022-1-DE01-KA220-HED-000089750. Neither the European Commission nor the project's national funding agency DAAD are responsible for the content or liable for any losses or damage resulting of the use of these resources.

Video

Peter van de Rotten

April 8, 2026

ACA-bot

ACA-bot is an engaging chatbot designed for Automated Conversational Assessment (ACA). Drawing inspiration from traditional oral exams, this text-based conversational agent transforms assessment into a dynamic learning experience. It supports both formative and summative evaluation by offering students personalised feedback and guidance at every step of their learning journey. The first ACA-bot prototype focuses on assessing students’ understanding of basic statistical concepts, but its flexible design allows for easy adaptation to a wide range of subjects and learning contexts. Through interactive dialogue, students can practise explaining ideas clearly under exam-like conditions, apply their knowledge to new and challenging questions, and refine their reasoning as they respond to follow-up prompts. They gain valuable insights into their own understanding, identify areas for improvement, and gradually build confidence for both oral and written assessments. For educators, ACA-bot offers a powerful way to scale oral examinations and enhance formative assessment without increasing workload. It automates parts of the assessment process, provides structured and actionable insights into student performance, and opens the door to more personal, interactive feedback at scale. By combining the strengths of conversational AI and educational assessment, ACA-bot turns evaluation into a collaborative, insightful process. It empowers students to think aloud, reason more effectively, and grow, while giving educators a smarter, more innovative way to understand and support learning. ACA-bot is een slimme en inspirerende chatbot die onderwijs en Artificial Intelligence samenbrengt. Geïnspireerd door het klassieke mondelinge examen tilt deze tekstgebaseerde gespreksagent Automated Conversational Assessment naar een nieuw niveau. Studenten krijgen via natuurlijke gesprekken directe, persoonlijke feedback en begeleiding, waardoor leren en toetsen samenvloeien in één boeiende ervaring. Het prototype van ACA-bot is ontwikkeld om kennis over statistiek te beoordelen, maar dankzij het flexibele ontwerp kan het systeem eenvoudig worden aangepast aan andere vakgebieden en toepassingen. Tijdens interactieve dialogen leren studenten helder uitleg geven, hun kennis toepassen op nieuwe vragen en hun redenering aanscherpen. Ze ontdekken waar hun begrip nog verdiept kan worden en groeien zichtbaar in zelfvertrouwen — waardevolle voorbereiding op zowel mondelinge als schriftelijke examens. Ook voor docenten biedt ACA-bot een slimme oplossing. Het maakt mondelinge toetsing schaalbaar, ondersteunt formatieve beoordeling via gesprek, en vermindert de werkdruk door delen van het beoordelingsproces te automatiseren. Bovendien geeft het gestructureerde inzichten in de voortgang en denkwijze van studenten, waardoor elke dialoog bijdraagt aan beter onderwijs. ACA-bot laat zien hoe Automated Conversational Assessment het leren persoonlijker, interactiever en effectiever maakt. Studenten denken hardop, verkennen hun eigen begrip, en verbeteren met vertrouwen — terwijl docenten op een innovatieve, datagedreven manier inzicht krijgen in hoe kennis werkelijk wordt begrepen.

App

Aki Härmä, Julie Bauer

March 31, 2026

CLIL - Music

This is the template for the CLIL music theme

UASDocument

Amy Klipp, Honorine de Keijzer-Davies, Jasmin Back, Noortje Cras

March 30, 2026

CLIL - Cultural Heritage

This is the CLIL art theme: cultural heritage

UASDocument

Amy Klipp, Honorine de Keijzer-Davies, Jasmin Back, Noortje Cras

March 24, 2026

Getting Started with Unity Hub

Main Concepts: Unity Hub: A management tool for Unity installations and projects Unity License: Required for using Unity, available as free Personal or paid versions Unity Editor: The software used to create and develop Unity projects, available in multiple versions including LTS Learning Goals: Understand how to download and install Unity Hub Learn how to create and activate a Unity license key Know how to download and install the appropriate Unity Editor version for your project Key Takeaways: Always use your university email to create your Unity ID for BMS lab collaboration Choose the Unity Editor version specified by your project developer, preferably the LTS version Use Unity’s Archive website to find older or specific Unity Editor versions not listed in Unity Hub Further Exploration: Search for “Unity Hub installation guide” Search for “Unity license types and activation” Search for “Unity Editor versions and LTS” Explore Unity’s official documentation on managing licenses and installations

Video

Lucia M Rabago Mayer, Jordi Weldink, Amanda Poulin, Luca Frösler

March 24, 2026

Deploy VR Project in Unity to the Meta Quest

Main concepts Unity VR Template as a preconfigured starting point for VR projects Core VR components such as XR Origin, interactables, UI, and teleportation Required VR systems: XR runtime, interaction system, and VR-ready player setup XR Plugin Management and OpenXR as the VR runtime solution Project Validation and interaction profiles for correct VR configuration Learning goals After this lesson, learners will be able to: Explain why the Unity VR Template is used as a reference project Identify key VR components in the hierarchy, such as XR Origin and interactables Describe the three core requirements for running VR in Unity Enable and configure XR Plugin Management and OpenXR Use Project Validation to detect and fix VR configuration issues Key takeaways The VR Template provides a clean, ready-to-use VR foundation Only one XR Origin should be active in a scene at any time OpenXR enables communication between Unity and the MetaQuest headset Interaction profiles are required for controller and hand tracking to work Project Validation helps ensure the project is compatible with VR and OpenXR Further exploration Search terms: Unity VR Template overview XR Plugin Management Unity OpenXR interaction profiles MetaQuest Unity XR Project Validation Next steps: Apply the same VR settings to the course project Experiment with different interaction profiles, including hand tracking Explore XR Interaction Toolkit samples and starter assets Review render mode options if visual issues occur

Video

Lucia M Rabago Mayer, Jordi Weldink, Amanda Poulin