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HBO/WO

MBO

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

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 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 19, 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

March 3, 2026

Quick and dirty multilevel regression with SPSS syntax assignment

SPSS syntax assignment for teaching the basics of multilevel modeling. For when you need to teach or learn the basics but don't have a lot of time for it. Covers pooled OLS, fixed-effects and random effects (null model, intraclass-correlation, random intercept models with covariates at different levels, random slope models, and cross-level interactions). Uses European Social Survey data. Includes questions. Intended to be used in conjunction with a preceeding lecture.

Document

Alex Lehr

October 12, 2025

Effective Thickness Method

In this video Martina Eliášová explains how the polymer interlayer between glass panes influences the performance of structural elements like floors and roofs. The key property is the interlayer's shear modulus, which is highly dependent on temperature and load duration. At high temperatures or under long-term loads, the shear modulus is low, and the glass panes behave more independently. At low temperatures or under short-term loads, the shear modulus is high, causing the panes to act as a single, monolithic unit. This variable behavior must be considered in design to accurately calculate stress and deflection. The video mentions that modern standards, like the effective thickness method in EN 16612, provide simplified analytical models to account for this partial shear interaction, leading to more economical and accurate designs than older, more conservative practices. The video was produced by the Open GLASSroom project. Special thanks to Martina Eliášová 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

Martina Eliasova

September 30, 2025

VR environment for the course "Historical Archaeology"

This is a 3D reconstruction of the Jordaan in the 19th century, produced for the course "Historical Archaeology". The model was created by the 4D Research Lab of the University of Amsterdam for the project 'Virtual Past Places' in collaboration with course teacher Vladimir Stissi. This model contains a few houses by which photos from the 'beeldarchief' can be compared by students, to understand the spatiality and layout of the neighbourhood and houses. This model is accessible as a VR room using Hubs Cloud software (virtualplaces-uva.eu). For reproducability and reuse, consult the manual at https://doi.org/10.21942/uva.30490373 and follow the instructions to set up your own Hubs Cloud instance. For the relevant dataset, please use the link to the Zenodo deposition. Funding and context Virtual Past Places has been made possible by a grant, the 'Stimuleringsregeling Online Onderwijs' from the Ministry of Education, Culture and Science (Onderwijs, Cultuur en Wetenschap, OCW), coordinated by SURF, the cooperative association of Dutch educational and research institutions. Virtual Past Places includes open access publication of all developed teaching materials as Open Educational Resources, the development of training materials, and the organisation of inspiration and counselling sessions for peers. In case you're interested in the results of this research project, and/or participate in it, please contact J.Waagen@uva.nl.

Virtual Reality

Mattia Lucca, Vladimir Stissi, Tijm Lanjouw, Jitte Waagen, Markus Stoffer

September 25, 2025

VR environment for the course "The Digital City"

This is a 3D reconstruction of Uilenburg in the 17th century, produced for the course "The Digital City: Architecture and History of Jewish Amsterdam". Includes neighbourhood layout and gables reconstructed by students of previous years. Students can compare and evaluate reconstructions based on the VR environment and historical materials. This helps understand historical houses, giving students a better sense than 2D historical maps. This model is accessible as a VR room using Hubs Cloud software (virtualplaces-uva.eu). For reproducability and reuse, consult the manual at https://doi.org/10.21942/uva.30490373 and follow the instructions to set up your own Hubs Cloud instance. For the relevant dataset, please use the link to the Zenodo deposition. Funding and context Virtual Past Places has been made possible by a grant, the 'Stimuleringsregeling Online Onderwijs' from the Ministry of Education, Culture and Science (Onderwijs, Cultuur en Wetenschap, OCW), coordinated by SURF, the cooperative association of Dutch educational and research institutions. Virtual Past Places includes open access publication of all developed teaching materials as Open Educational Resources, the development of training materials, and the organisation of inspiration and counselling sessions for peers. In case you're interested in the results of this research project, and/or participate in it, please contact J.Waagen@uva.nl.

Virtual Reality

Chiara Piccoli, Gabri van Tussenbroek, Jitte Waagen, Markus Stoffer

September 1, 2025

Economics in the Digital Age: Insights and Applications

This book serves as an essential resource for both undergraduate and graduate programs due to its comprehensive approach to digital economics: Theoretical Integration: It integrates classical economic theories with the digital economy, demonstrating how traditional principles apply to new digital realities. Practical Frameworks: It provides actionable insights for analyzing digital market trends and monetization strategies, relevant for students, managers, and business professionals alike. Case Studies and Real-World Applications offer concrete examples of digital transformations, making complex concepts more accessible and useful for research and coursework. Advanced Analytical Tools: The book helps students develop the analytical skills needed to evaluate digital business strategies, market dynamics, and the broader economic impact of digital technologies. For professionals, this book provides strategic guidance on navigating the challenges and opportunities of the digital economy. By understanding the core economic principles behind digital business models, managers can make informed decisions on everything from digital marketing to product development, all while anticipating and mitigating risks like cybersecurity threats or regulatory changes.

Open (Access) Text Book

Shilpa Samplonius-Raut

June 6, 2025

Multilevel modeling for social scientists

The course builds on the knowledge and skills acquired in the previous methods courses. The course will introduce students to multivariate analyses of nested data using multilevel modeling techniques. The course focuses on the theory and application of fixed and, in particular, random effects models. Using data from the European Social Survey, the students will learn how to estimate and interpret such as models using Stata.

Document

Alex Lehr