Ga naar de startpagina
Zoek leermateriaalKennis & expertiseCommunities
NL|EN
Privacy policyDeelnemende instellingen
Creative CommonsCreative Commons AttributionSURFFunded by the European Union

Filteren

Zoekresultaten (102)

…

HBO/WO

MBO

21 juli 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

17 juni 2026

AgriLemma 2.0: A serious game for exploring dilemmas in agriculture

In AgriLemma, you are a farmer in Europe managing your own farm across 8 seasons. You grow six types of crops — potatoes, sugar beets, rapeseed, corn, wheat, and chickpeas — each requiring resources such as seeds, water, nutrients, and workers. Players must run, invest in, and improve their farm with sustainable technologies while balancing competing priorities and navigating uncertainties like weather events and pest attacks. The objective is to maximize overall farm health, which is determined by three dimensions: environmental health (positive ecological impact), social health (worker satisfaction), and financial health (farm profitability). Players must strategize across all three dimensions simultaneously — decisions that boost profit may come at an environmental cost, and vice versa. The game makes these trade-offs tangible, encouraging reflection on what sustainable farming really requires. ------------------------------ Learning objectives: · Experiment with different strategies — to operationalize and adapt an approach under pressure, and to reflect on how well it held up. · Expose students to issues of risk management — to plan, control, and explain the reasoning behind in-game choices relating to sustainability, soil conservation practices, integrated crop management, weeding, and pest management, and to learn how to respond when conditions change. · Experience the complexity of decision-making — to take into account weather and policy uncertainties, sustainability pressures, economic realities, and the broader context in which farm decisions are made. --------------------------------Practical information: · Format: Board game (physical/ print-and-play) · Players: 2-4 players (extendable to 8 by playing in teams of 2) · Duration: 3 hours, including onboarding and debrief · Level: Higher education / Stakeholder engagement · Language: English --------------------------------Credits: AgriLemma was originally designed as part of the WATERAGRI project. The second version, including a full redesign of the graphics, was developed with funding support from the TU Delft Open Science Programme course "Civic Engagement in Action: Empowering Researchers and Educators to Make an Impact". Game design: Dr. ir. Aashna Mittal - TU Delft, Faculty of Technology, Policy and Management Graphic design and illustration: Gracia Bovenberg-Murris and Michelle de Smit – TU Delft GameLab Note on image generation: The images in the tech cards and the border of the main game board were created using AI-generated imagery. The constructed wetlands card image is also AI-generated. All other cards and box art are hand-drawn or created in Adobe Illustrator. Note on usability: The print-and-play version of the game has been optimized for office printing.

Document

Aashna Mittal, Gracia Bovenberg-Murris, Michelle de Smit

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

Legal Network Analysis

How can complex legal systems, filled with interconnected cases, statutes, and actors, be understood through data? Legal Network Analysis offers law students and researchers a practical guide to mapping and interpreting relationships in legal data using the tools of network science. Building on the foundations of graph theory, this open textbook shows how relationships between cases, statutes, or states can reveal underlying structures in law that traditional methods often overlook. Whether analysing citation networks, treaties among nations, or the diffusion of legal norms, readers learn to translate legal questions into visual and quantitative insights. Developed by the Law and Tech Lab at Maastricht University, this resource combines conceptual clarity with applied learning. Each chapter blends concise explanations with interactive Jupyter notebooks, allowing readers to reproduce, modify, and experiment with examples in real time. Appendices include step-by-step guidance for data preparation, visualisation, and software setup; making the book equally accessible for newcomers and advanced students. Designed to support the Network Analysis course at Maastricht University, this textbook is also a valuable standalone introduction for anyone exploring the data-driven dimensions of law and policy.

Open (Access) Tekst Boek

Gustavo Arosemena, Gijs van Dijck, Roland Moerland

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

15 maart 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

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

24 september 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

20 september 2025

Literatuurverkenning kansengelijkheid in het Nederlandse onderwijs

Literatuurverkenning kansengelijkheid in het Nederlandse onderwijs

Document

Edwin Buijs

16 september 2025

The life cycle assessment of everyday objects

This educational resource has been made as part of the Digital Impressions project and has been last updated at 16.19.2025. The resource encompasses a complete guide for teaching sustainability through objects. The table of content exists of: Reason for doing a life cycle assessment...........................................................................2 Limitations..........................................................................................................................2 Target audience..................................................................................................................3 Learning objectives............................................................................................................3 Activity................................................................................................................................4 Resources...........................................................................................................................5 Variations............................................................................................................................5 Variation 1: mini LCA........................................................................................................5 Variation 2: full LCA project.............................................................................................6 Appendix 1: assignment sheet............................................................................................7 Reference list.....................................................................................................................8

Document

Sofia Zampedri, Linde Voorend