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HBO/WO

MBO

16 juni 2026

Open Education menu

We created a ready-to-use menu with 17 different Open Education practices to be implemented in your education. With each practice turned into its own dish and recipe, you can easily see how the practice can be implemented, with its difficulty level and examples. The goal is to provide you with ideas and examples on how to implement Open Science practices into your education. Or use the menu as a starting point for conversations about open educational practices with colleagues! Already an expert? The menu can also be used for a 1-hour workshop on Open Educational practices for others interested in Open Science. Let the participants select a dish from the menu they are interested in, and help them to adapt the dish so they can turn their own ideas into real practices.

Presentatie

Jeroen Bosman, Ilcan Çiftcibaşi, Anneke van der Dussen, Ruud Dielen, Marie-Louise Goudeau, Pim Huijnen, Susanne Kirchhoff, Marc van Mil, Hanne Oberman, Annelies Pieterman-Bos

8 april 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

24 maart 2026

Pair your Meta Quest Device to the PC

Main concepts Pairing a MetaQuest headset with a PC MetaHorizon Link as the software used for PC VR setup Wired PC VR connection using a link cable Account requirements for using Meta software PC VR workflow where the PC renders and the headset displays Learning goals After this lesson, learners will be able to: Explain what pairing a MetaQuest with a PC means Identify the requirements for setting up PC VR Install and launch the MetaHorizon Link desktop application Connect a MetaQuest headset to a PC using a link cable Complete the initial pairing and verification process Key takeaways Pairing is required to enable PC VR streaming or execution A Meta account is mandatory to use Meta PC software MetaHorizon Link manages the connection between headset and PC A wired link cable offers a reliable first-time setup option A successful pairing is confirmed by device recognition and connection checks Further exploration Search terms: MetaHorizon Link PC VR setup MetaQuest link cable vs Air Link PC VR requirements MetaQuest MetaQuest device pairing troubleshooting Next steps: Test PC VR performance with a simple VR application Explore Air Link for wireless PC VR streaming Review Meta documentation for advanced PC VR settings Verify PC hardware compatibility for demanding VR experiences

Video

Lucia M Rabago Mayer, Jordi Weldink, Amanda Poulin

19 maart 2026

ShareXR : Challenge-Based Learning with XR (BMS Lab, University of Twente)

ShareXR introduces a challenge-based learning (CBL) approach for integrating research, design, and development in engineering education through extended reality (XR). Developed at the University of Twente’s BMS Lab, the model addresses the increasing need for multidisciplinary collaboration by teaching students to speak a shared language across research, design, and technical development. Even for those without an engineering, scientific or STEM background. This course offers a hands-on, multidisciplinary learning experience where students take real research ideas and transform them into innovation projects within a complete and validated open learning XR ecosystem. With reusable multimedia course content, the course enables students to understand interdisciplinary collaboration, while each module focuses on one of the four pillars: Research, Design, Development, and Project Management — guided by principles of balance, iteration, and collaboration. By working with different tools like one-page project canvases, students will learn how to translate research ideas into structured user stories, requirements, and project management tasks, while exploring how XR tools can act as a human-centered medium for prototyping, testing, and validating ideas without requiring coding skills.

App

Lucia M Rabago Mayer, Jordi Weldink, Amanda Poulin, Luca Frösler, Peter Slijkhuis, Mirjam Galetzka, Benno Pals, Jan-Willem van 't Klooster

1 januari 2026

Research proposal for a VirtualShip expedition

Filling in this proposal helps students prepare for their VirtualShip expedition and gives teachers an opportunity to provide feedback.

Document

Emma Daniels, Jamie Atkins, Erik van Sebille

1 januari 2026

Virtual sea-going marine science fieldwork with VirtualShip

Marine science relies heavily on fieldwork at and in the ocean for data collection. Consequently, marine science students need training in sea-going fieldwork. However, such training is expensive, logistically demanding, and environmentally burdensome because research vessels emit substantial amounts of CO₂. To provide students with an opportunity to experience the realities of working at sea, we developed a platform for virtual oceanic fieldwork: the VirtualShip Classroom, which provides Python code, exercises, and 360 videos as virtual reality (VR) covering different aspects of fieldwork such as expedition planning, sampling, and data analysis. Whenever possible, students work with authentic tools and realistic datasets, such as the Marine Facilities Planning platform for designing research expeditions. Basic programming skills are advantageous, particularly when students analyze self-collected data. Students formulate their own research question in a region of the global ocean of their choice. They then investigate this question with a virtual research vessel operated through the bespoke VirtualShip software. Instruments currently implemented for deployment or onboard use are ADCP, CTD, XBT, Argo floats, surface drifters, and underway temperature and salinity sensors. This collection of teaching materials is accompanied by a suggested workflow, which outlines a series of classes on virtual ocean research.

Document

Emma Daniels, Erik van Sebille, Jamie Atkins

1 januari 2026

Code of conduct for your VirtualShip group

This code of conduct can be used in VirtualShip to make students think about collaboration within their group and how to distribute their grade. Note that the Code of Conduct applies to the actual collaboration within your group in the VirtualShip Assignment; so is not about how you would work on the ship.

Document

Erik van Sebille

1 januari 2026

Instructions to sail your VirtualShip!

This guide will help you get started on running your VirtualShip expedition.

Document

Emma Daniels, Jamie Atkins, Erik van Sebille

2026

Development Portfolio Boundary Crossing & Personal Leadership

This development portfolio is used in a BSc Marine Sciences 3ECTS course on "Boundary Crossing and Personal Leadership" (BSc Year 1 course). It serves as a logbook with daily prompts for students to reflect on the activities they have undertaken while in class. This document is used alongside another document titled 'Assessment Portfolio Boundary Crossing & Personal Leadership'. Students can use this Development Portfolio (formative) for their Assessment Portfolio (summative).

Document

Judith Gulikers, Camilla Ramezzano

17 december 2025

Onderwijs & AI Module voor Docenten

Generative Artificial Intelligence (genAI), ofwel generatieve kunstmatige intelligentie, maakt een snelle groei door. De nieuwste generatie genAI tools is zo goed dat het steeds moeilijker wordt te onderscheiden of een tekst door een mens of AI is geschreven. De ontwikkeling van genAI heeft dan ook een grote impact op de maatschappij en daarmee ook op het onderwijs. Daarnaast kan genAI onderdeel uit gaan maken van de toekomstige werkpraktijk van vele studenten. De realiteit is dat deze technologie er is en we zullen ons ertoe moeten verhouden. Hoewel de eindverantwoordelijkheid voor het gebruik van genAI ligt bij de student zelf, hebben wij de verantwoordelijkheid om hen te helpen hier op een verantwoorde manier mee om te gaan. Deze module beoogt hierbij te ondersteunen. Na het doorlopen van deze module ben je bekend met: Wat genAI is. Wat de impact van genAI is op onze wereld. De juridische kaders van genAI. De relatie tussen genAI en academische waarden en integriteit. De manieren waarop studenten genAI kunnen gebruiken en wat dat kan betekenen voor academisch onderwijs. De impact die genAI kan hebben op jouw onderwijs. Elk van de bovenstaande leerdoelen hoort bij één hoofdstuk van deze module. Deze module is gebaseerd op de module AI geletterdheid van de Rijksuniversiteit Groningen. De module is zowel in het Nederlands als het Engels beschikbaar en wordt hier aangeboden als Brightspace package. Dit zou ook in Canvas geïmporteerd kunnen worden.

Document

Steven Trooster, Max Moeskops