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Zoekresultaten (44)

HBO/WO

MBO

1 januari 2020

Part of Searching & Resources: Making a search plan

Part one of Searching & Resources: instructions on how to make a search plan.

Website

TU Delft Library

23 augustus 2023

Lecture: Hyperparameter tuning

Investigate effects on capacity and depth Experient with varying epochs and batch sizes Trial different activation functions and learning rates

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HCAIM Consortium

12 mei 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.

Presentatie

Anke Swanenberg, Yvette Baggen, Programma Interdisciplinair Onderwijs

23 augustus 2023

Lecture: EU Human Rights Legislation

To rational and discuss the topics related to AI and human rights

Website

HCAIM Consortium

12 juni 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

5 december 2023

HAN student profile digital and data literacy

This HAN student profile lists the generic competences related to digital literacy, data literacy and digital transformation that a student should have mastered by the end of their studies.

Document

Expertiseteam Digi- en Datavaardigheid

19 maart 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

19 maart 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

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

8 mei 2018

10-20: Data analysis (descriptive)- micro lecture VARIANCE AND STANDARD DEVIATION

In this micro lecture the following items will be explained regarding this lecture: In this first module, we’ll introduce the basic concepts of descriptive statistics. We’ll talk about cases and variables, and we’ll explain how you can order them in a so-called data matrix. We’ll discuss various levels of measurement and we’ll show you how you can present your data by means of tables and graphs. We’ll also introduce measures of central tendency (like mode, median and mean) and dispersion (like range, interquartile range, variance and standard deviation). We’ll not only tell you how to interpret them; we’ll also explain how you can compute them. Finally, we’ll tell you more about z-scores. In this module we’ll only discuss situations in which we analyze one single variable. This is what we call univariate analysis. In the next module we will also introduce studies in which more variables are involved

Website

Henk van der Kolk