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HBO/WO

MBO

2 september 2026

Inzicht

Het boek Inzicht - academische vaardigheden voor bouwkundigen geeft een verdiepend beeld van bouwkunde als wetenschappelijke discipline, gaat expliciet in op de relatie tussen ontwerp en onderzoek en richt zich met name op praktische vaardigheden die bouwkundestudenten ontwikkelen gedurende hun bacheloropleiding in Delft. Het boek is opgebouwd uit vier delen. Deel A richt zich op de plaats van bouwkunde binnen de wetenschap. Deel B richt zich op basisvaardigheden: algemene academische vaardigheden voor bouwkundigen. Deel C diept specifieke bouwkundige methoden van onderzoek uit. Deel D, het laatste deel, is enerzijds gericht op de praktijk en anderzijds op reflectie. Door deze brede opzet kan het boek niet alleen direct gebruikt worden door studenten en docenten in de leerlijn Wetenschap en Vaardigheden, maar juist ook in de andere leerlijnen en modulen. Tevens is het boek een naslagwerk voor andere Bouwkunde- en Architectuuropleidingen in binnen- en buitenland dat inzicht geeft hoe wij binnen de faculteit Bouwkunde van de TU Delft aankijken tegen het vakgebied en welke academische vaardigheden daar op bachelorniveau bij horen.

Open (Access) Tekst Boek

MaartenJan Hoekstra, Remon Rooij, Willemijn Wilms Floet, Sake Zijlstra

1 september 2026

Integrated Infrastructure Design Guide

Infrastructure forms the backbone of our society – from roads and railways to waterworks and ports – as critical part of vital systems for mobility, water and space. But that backbone is under strain. Ageing systems, climate change and scarce resources force us to rethink fundamentally how we design, use and value infrastructure. This Design Guide starts with one urgent question: how can we make infrastructure future-proof in a world of uncertainty? It introduces integrated approaches in which design, engineering, policy and societal value come together through a wide range of inspiring examples related to urban and regional accessibility and development, spatial quality, flood protection, and ecological restoration. The book demonstrates how infrastructure can be more than merely a functional system. It becomes a driver of societal value and prosperity, and a strategic instrument that connects quality of life, sustainability and economic development. This Design Guide offers a clear conceptual framework to understand and design infrastructure that is not only more efficient, but also more sustainable, inclusive and meaningful. Drawn from thematical insights and lessons, and applicable methods, techniques and strategies by a broad range of scientists and professionals of practice with a background architecture, urban development and design, landscape architecture, civil engineering, economics, governance or policy. A substantial and indispensable guide for designers, engineers and policymakers committed to shaping the infrastructure and the society of tomorrow.

Open (Access) Tekst Boek

Hans de Boer, Mark Voorendt, Maurice Harteveld, John Baggen

13 augustus 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

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

11 juni 2026

Game – Open learning – The HAN escape experience

​An experience in which participants work through all the stages of the educational resources cycle while solving puzzles.

Document

Marja Versantvoort

9 juni 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

5 mei 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

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