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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

July 21, 2026

Introduction to Stochastic Hydrology

Hydrologic systems are both complex and extremely heterogeneous in time and space. As hydrological models are simplified versions of reality, their predictions are by definition subject to uncertainty. The field of stochastic hydrology focuses on quantifying this uncertainty along with prediction. This book aims to present an overview of the field of stochastic hydrology at an introductory level. A wide range of topics and methods will be treated, while each topic and method is only treated at a basic level: descriptive statistics; probability and random variables; hydrological statistics and extremes; random functions; time series analysis; geostatistics; forward stochastic modeling; and state prediction and Kalman filtering. The book can be used for a 10-15-week course at third-year undergraduate or first-year graduate level.

Document

Marc F.P. Bierkens

June 16, 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.

Presentation

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

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 23, 2026

Curriculum Support Roadmap

The curriculum roadmap shows how the Teaching and Learning Centre – Project Office Learning Arrangements has visualised the adaptive support service for curriculum redesign. It focuses on the level of a BSc or MSc programme. This visual can be used to inspire a redesign process and to identify major building blocks to consider during this process.

Document

Anne Velthorst, Roos Köhler

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 18, 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) Text Book

Luc Smits, Sander van Kuijk, Laure Wynants

March 15, 2026

Beyond Google Scholar

Students often struggle to find relevant literature for their thesis projects. The main aim of this tutorial is two-fold, namely to teach students (1) how to find relevant literature using various databases and search strategies and (2) how to critically reflect on the role of digital databases and Generative AI tools in their search process. The package includes a lecturer’s manual and two versions of the same tutorial: one with steps in Excel and one without. The tutorial can be delivered as an in-class workshop (2–3 hours) or assigned as a take-home assignment. The databases and tools used in this tutorial include Zotero, Google Scholar, Project MUSE, JSTOR, ChatGPT, and Excel. The tutorial can be used in any higher education classroom and is particularly suitable for courses that prepare students for writing a BA or MA thesis.

Document

Jasmijn van Gorp

October 28, 2025

Adhesive Connections in Glass Constructions

In this video, Christiane Kothe explains the use of structural adhesive bonding in glass construction, a technology with ancient roots that was revolutionized by modern synthetic and silicone adhesives. Adhesive connections offer key advantages over mechanical fixings, including transparent aesthetics, the ability to join different materials, and even stress distribution, which reduces local weak points. However, their success depends on meticulous surface preparation and managing long curing times, which can impact production efficiency. The video covers the fundamental principles of adhesion and cohesion, the chemical curing process of structural adhesives, and the critical importance of surface pre-treatments to ensure bond strength and long-term durability. Through methods like contact angle measurement and mechanical testing, including accelerated aging, the performance and reliability of these bonds can be validated. When applied correctly, adhesive connections significantly enhance the safety, efficiency, and design possibilities of modern glass structures. The video was produced by the Open GLASSroom project. Special thanks to Christiane Kothe 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

Christiane Kothe

HBO/WO

MBO