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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 12, 2026

[ENG] Pressure cooker Transdisciplinarity – A theoretical approach

What – This pressure cooker is an introduction to the theory of the why and what transdisciplinary education. You’ll learn why transdisciplinary education can be useful and what it means. For whom – The format can be used (and adjusted) for a class of students (all levels; any group size) as well as a team of educational developers or teachers. Why – Guided training in, for instance, transdisciplinary education improves the actual working with, or teaching of, it. How long – In-class activities take under one hour. Preparation at home takes up to 40 minutes. Our practical approach (the how), which you can take after this pressure cookers takes op two hours.

Presentation

Anke Swanenberg, Yvette Baggen, Programma Interdisciplinair Onderwijs

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 19, 2026

Testing

Main Concepts Technical / engineering testing: Checking whether the system or VR build works correctly, meets requirements, and behaves consistently. Research / participant testing: Testing with participants to verify that the experiment supports the hypothesis and produces valid data. Debugging: Systematically identifying, isolating, and fixing the cause of a technical problem. Learning Goals Distinguish between the two types of testing. Apply a simple technical testing protocol to a project. Systematically identify, document, and fix software or VR errors. Use the Testing Worksheet to maintain traceability and collaboration. Recognize testing as essential quality assurance for both research and development. Key Takeaways Technical testing validates the build before research testing validates the hypothesis. Debugging is guided observation — not random trial and error. Documenting your tests ensures accountability and repeatability. Continuous testing builds confidence and prevents surprises during research trials. A clear testing workflow saves time and makes collaboration smoother. Further Exploration Search for “Unity debugging and testing workflow.” Search for “How to create software testing protocols.” Search for “Difference between pilot study and technical testing.” Search for “Best practice bug tracking templates.”

Video

Lucia M Rabago Mayer, Jordi Weldink, Amanda Poulin

September 24, 2025

Amateur Craft as Method-in-the-Making:

This research output documents a pandemic-era experiment in which academic researchers used knitting to record and reflect on their digital screen time, exploring craft as a critical research method and a tool for data sensitisation, feminist activism, and embodied knowledge making. Project Overview: A group of academics and amateur knitters from Maastricht University and partner institutions met online during 2020–2021, using knitting to document their own screen time over a week of lockdown. Their creative outputs—a collection of individually knitted rectangles—were later assembled as a tactile "knitted book" to display in arts and crafts contexts, as well as academic contexts. The project linked technofeminist thinking, craftivism, and artistic research practices, aiming to make visible both quantitative and qualitative aspects of technology use during social isolation. Main Topics and Learning Objectives: • Explore how amateur craftwork (knitting) can act as a research method to sensitise and interpret personal data. • Engage with concepts from technofeminism and critical craft studies to understand the role of tactile, embodied methodologies. • Foster social connection, experimentation, and reflection on digital dependency during the COVID-19 lockdown. • Develop awareness of how materials, technique, and individual interpretation shape both method and outcome in collaborative research. Audience: This work suits students, educators, and researchers interested in qualitative and artistic research methods, feminist theory, science and technology studies (STS), and creative digital-literacy pedagogies. It models interdisciplinary practice and encourages engagement with data, methodology, and making as interconnected experiential processes. Authors and Licensing: Authors: Denise Petzold (first and corresponding author), Laura Barendregt, Ruth Benschop, Anna Harris, Laudy van den Heuvel, Bernike Pasveer, Veerle Spronck, Sally Wyatt, affiliated with Maastricht University, TU Delft, Zuyd University of Applied Sciences, and HKU University of Arts Utrecht. The text is suitable for publication in open educational repositories and supports open, collaborative engagement with academic craftwork. The pictures of the digitised version of the book were taken by Eric Bleize. Suggested Citation: “Amateur Craft as Method-in-the-Making: Experiments in Knitting Screen Time during a Pandemic” by Denise Petzold, Laura Barendregt, Ruth Benschop, Anna Harris, Laudy van den Heuvel, Bernike Pasveer, Veerle Spronck and Sally Wyatt (2025), Maastricht University, is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits reuse, distribution, and adaptation, provided appropriate credit is given.

Document

Denise Petzold, Laura Barendregt, Ruth Benschop, Anna Harris, Laudy van den Heuvel, Bernike Pasveer, Veerle Spronck, Sally Wyatt

July 1, 2025

Presentation Grey Literature

PowerPoint presentation Workshop Grey Literature

Presentation

Norma Fötsch, Rebecca Calcott

July 1, 2025

AI as a science - course manual

AI as a Science aims to highlight how research involving “artificial intelligence” can be considered scientific, and what that means for us as scholars engaged in this — and related — areas of study. During the course, we will explore answers to questions such as: What is AI? What role do scientists play in the development of AI? And vice versa: what role do AI researchers play in the scientific investigations of computation, artificial intelligence, and intelligence more broadly? Do such roles come with responsibilities and ethical duties? We will explore these questions dialogically (i.e., through dialogue, discussions, and presentations), as well as through lectures. Perspectives will include critical, historical, sociological, and philosophical angles. We will touch on: The history of AI, going as far back as ancient Chinese and Greek civilizations; future projections, including the possibility of another "AI winter." Ultimately, you will aim to answer for yourselves: Is AI a science? Can it be? Will it be? The course will be examined through: Group presentation – You will be split into teams to create a presentation (see Presentation). The presentation combines: Group collaboration, An individual (or more than one person’s) presentation (10 minutes max). Final essay – You may choose a topic related to the course and aligned with your background or interests (see Essay). The essay will take the form of a literature review or journal-style article, aiming to: Deepen and/or broaden your knowledge on one or more topics from the course, Allow you to zoom in or out and develop your own unique perspective. Learning Goals: AI as a Science aims to teach you — and for you to teach yourselves — how to: Define science and AI, critically and in your own words. Understand the historical context of AI: When did AI or AI-like disciplines and ideas emerge? Understand the current state of AI and explore possible futures: Is time a flat circle when it comes to recurring “AI winters”?

Document

Olivia Guest

June 12, 2025

The Expedition Map

This map offers you and your team: Guidance for understanding and using each other’s perspectives to create something together that none of you could have created alone. Guidance to keep going and jointly set a course towards the most innovative and highest achievable result within the given frameworks. This expedition map shows places you might encounter while innovating. If you have already visited several places on the map, then you’re on the right track. The map is also available in Dutch.

Document

Manon Joosten, Aukje Moltzer, Guido Stompff