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Zoekresultaten (29)

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

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

18 maart 2026

Improving Health Care with Clinical Prediction Models

Clinical prediction models are increasingly used to support health care decisions, helping clinicians estimate disease risk, guide treatment choices, and tailor care to individual patients. At the same time, advances in data science and artificial intelligence have led to a rapid expansion of prediction modelling research. Yet despite this growth, only a small proportion of published models ever reach clinical practice. Improving Health Care with Clinical Prediction Models – From Idea to Impact shows how you can bridge this gap. The book guides readers through the full pathway of prediction modelling in health care: from defining a meaningful clinical problem and identifying existing models to developing, validating, evaluating, and implementing prediction model–based innovations. Combining methodological guidance with real-world clinical examples, the book explains not only how to build robust prediction models but also how to ensure they become useful tools in everyday care. Written in an accessible style and requiring only a basic understanding of statistical modelling, it provides students, researchers, and clinicians with a practical roadmap for turning prediction models into innovations that are useful, usable, and used. What this book helps you do This book takes you through the complete process of clinical prediction modelling, from the first idea for a model to its implementation in health care practice. Along the way, readers learn how to: Define a meaningful clinical problem and identify where prediction models can improve health care Find and critically evaluate existing prediction models before deciding to develop a new one Handle missing data using methods such as multiple imputation Develop and validate prediction models using established regression approaches Apply advanced regression and artificial intelligence methods for clinical prediction modelling Select models with real-world impact potential and translate them into practical decision tools Evaluate the impact of prediction model–based innovations using decision modelling and empirical studies Implement prediction model–based innovations in clinical practice and new health care settings

Open (Access) Tekst Boek

Luc Smits, Sander van Kuijk, Laure Wynants

19 december 2025

Self-study module Introduction to Plant Biology - Photosynthesis light-dependent reaction

This self-study module is part of the series ‘Introduction to Plant Biology’ and introduces the light-dependent reactions of photosynthesis and their role in converting light energy into chemical energy. It is designed for students studying basic plant biology and for teachers seeking clear explanations and illustrative figures for educational use. The module explains the two photosynthetic reactions: light-dependent and light-independent, with a focus on the processes occurring in the chloroplast during the light-dependent phase. Students explore the formation of the energy carriers ATP and NADPH, the splitting of water into oxygen, and the role of fluorescence as an indicator of disturbances in the photosynthetic process and therefore plant health.

Document

Elysa Overdijk, Anniek Oosterwijk, Kayla Delvers

21 oktober 2025

Adaptive Expertise Assessment

Adaptive expertise verwijst naar het vermogen van individuen om hun kennis op innovatieve wijze te hercombineren om onbekende problemen op te lossen. Deze vaardigheid is essentieel voor interdisciplinair werken, en het effectief aanpakken van grote maatschappelijke uitdagingen. Wat Op deze pagina zijn te vinden: • Adaptive Expertise scenario’s. Deze kunnen ingezet worden om de adaptive expertise van studenten te meten. • Een link naar een voorbeeldassessment waarin de Adaptive Expertise scenario’s worden gebruikt. Binnenkort verschijnt op deze pagina een link naar een boekhoofdstuk waarin de theoretische achtergrond en toepassing van de Adaptive Expertise scenario’s worden toegelicht. Voor wie De materialen zijn bedoeld voor onderwijskundig adviseurs, beleidsmakers, curriculumontwikkelaars, docenten en onderzoekers in het hoger onderwijs, met name binnen interprofessionele en praktijkgerichte opleidingen. Waarom Het stimuleren van adaptive expertise draagt bij aan de ontwikkeling van veerkrachtige, reflectieve en lerende studenten en professionals. Door adaptive expertise te meten kunnen docenten beter inspelen op hoe studenten zich ontwikkelen als oplossers van maatschappelijke problemen buiten hun eigen kennisdomain.

Document

Yvette Baggen, Frank van Rijnsoever, Luc de Jongh

12 augustus 2025

AI Prompt Library

The AI Prompt Library is a collection of prompt templates designed for educators and students to give you a starting point and inspiration you need to use Generative AI tools like an expert. What are AI prompts? A prompt is simply an instruction you give to a Generative AI tool to receive a customised output you are looking for. In the AI Prompt Library, you will find prompts such as Learning, Exams, Writing, or Feedback. The description of each prompt includes tips and disclaimers, which offer additional information about the prompt. The AI Prompt Library indicates which prompting methods were used and why they are important. The examples will help you experiment with your own prompts. Should you have prompt suggestions that could be useful for others, hit the submit your prompt button. Explore the wide range of AI prompts specifically crafted to support you in your teaching or studying. 4 principles when using GenAI tools: (1) You are responsible for your own work; (2) Be transparent about your use of AI; (3) Verify the correctness of the output; (4) Respect copyright and privacy.

Website

Michalina Kaminska, Katja Shcherbakova

1 juli 2025

Presentation Grey Literature

PowerPoint presentation Workshop Grey Literature

Presentatie

Norma Fötsch, Rebecca Calcott

10 juni 2025

Communicating Like Your Own Technician

Main Concepts Technician: The person who analyzes and troubleshoots technical problems by gathering details and asking clarifying questions. Documentation: Clear records of actions, errors, and evidence (e.g., screenshots, notes, steps) used to explain and solve problems. Diagnostic questions: Targeted questions that help identify what happened, what was expected, and what was tried before a problem occurred. Learning Goals Recognize how poor communication slows problem-solving. Learn practical strategies to explain technical problems clearly. Practice asking and answering diagnostic questions effectively. Understand how documentation supports collaboration. Key Takeaways Everyone can “be their own technician” by learning to describe what’s happening, not just that something is wrong. Emotions can block clarity—pause, observe, and explain the situation calmly. Good communication saves time for both researchers and developers. Asking the right questions turns confusion into cooperation. Further Exploration Search for “effective communication between developers and researchers” Search for “troubleshooting techniques for non-technical users” Search for “how to report a technical issue clearly” Search for “empathy in multidisciplinary project teams”

Website

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

17 januari 2025

Talentgericht ondersteunen van leerlingen met kenmerken van autisme

In dit artikel leggen we de nadruk op het belang van het begrijpen van gedrag vanuit het perspectief van leerlingen met kenmerken van autisme. Door het dynamische karakter van ontwikkeling te benadrukken, wordt de focus verlegd van de diagnose van de leerling naar het interpreteren van gedrag vanuit de perceptie en ervaringen van de leerling zelf. Centraal in dit artikel staat: Hoe kan de leerkracht leerlingen met kenmerken van autisme talentgericht ondersteunen? Het doel is enerzijds om de lezer te inspireren om te kijken vanuit de ogen van de leerlingen. Anderzijds beogen we de lezer een aantal inzichten te geven in hoe de begeleiding van de leerling meer passend gemaakt kan worden. Door talentgericht te kijken en te handelen kunnen deze leerlingen gaan sprankelen en tot ontwikkeling komen. We gaan in op gedragingen die leerlingen met autisme kunnen vertonen in verschillende contexten. We moedigen leerkrachten aan om door de ogen van de leerling te kijken en begrip te hebben voor de basisbehoeftes. Door het bieden van structuur, ruimte en flexibele ondersteuning, kunnen leerkrachten hun onderwijs ook daadwerkelijk afstemmen op de behoeftes van leerlingen. Tot slot benadrukken we het belang van interprofessioneel samenwerken. Dit biedt mogelijkheden om het onderwijszorgaanbod voor leerlingen met autisme te verbeteren en inclusiever onderwijs te realiseren.

Document

Carla Geveke, Henderien Steenbeek

2025

Characteristics of diagnostic tests

This e-learning module introduces the definitions of sensitivity, specificity, and predictive values. By the end of this module, you will be able to: Understand and use the test characteristics sensitivity and specificity. Calculate the predictive value of a positive and a negative test from the true and false results of the test. Appreciate the effect of disease prevalence on the predictive values.

Website

Cora Busstra, Lenie Rossem, van, Luc Heerkens