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

Filteren

Zoekresultaten (371)

…

HBO/WO

MBO

25 augustus 2026

Library Essentials cursus VU Universiteitsbibliotheek

Library Essentials is een introductiecursus voor nieuwe medewerkers van de VU Universiteitsbibliotheek. De cursus biedt een laagdrempelige kennismaking met de organisatie, de verschillende afdelingen en de dienstverlening en expertise binnen de UB. De onderdelen van deze publicatie bevatten zowel inhoudelijke materialen van de cursus als begeleidende documenten die een beeld geven van de opzet van een dergelijke cursus. Ze kunnen gebruikt worden ter inspiratie voor het opzetten van een soortgelijke cursus bij andere instellingen. Deze publicatie bevat de volgende materialen: Leermateriaal eindproduct: E-module Library Essentials cursus (in ontwikkeling). Begeleidende documenten: Project Initiatie Document (PID) Library Essentials. Voorsteldocument ten behoeve van management team (MT). Draaiboek Library Essentials cursus VU. Schrijfhandleiding e-module. Script audiotour. Evaluatieformulier (in ontwikkeling).

Document

Kim Dibbets, Babette Claassen, Linde Voorend

1 augustus 2026

Introduction to data management as part of Open Science

Data management is part of the research cycle. It is crucial to think about it in the design phase of any experiment. This self-study module gives you hands on advice on what to do (and what NOT) with research data. It is not about (statistical) data analysis. This self-study module helps students get familiar with setting up their data management plan. As it’s an introduction to this topic, it is for students at beginner level. After completing this self-study module, you should be able to answer the following questions: What do I store? Where do I store? How can others understand what I stored? Why should I care?

Website

Susanne Kirchhoff

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

13 juli 2026

Workshop Recognition and Rewards

The interactive workshop Recognition and Rewards focuses on the impact of recognition and rewards on the choices made within research regarding Open Science principles. It is notable that, in the current system, Open Science-related tasks receive less recognition and appreciation than 'traditional' research tasks. The workshop demonstrates how the societal impact of research can change through a cultural shift regarding recognition and rewards for Open Science tasks.

Presentatie

Eef Benthem, Lars Feddema, Emma Mulder, Evelien Terwel, Addy Traficonte

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

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

24 maart 2026

How the Data Logging System Works

Main Concepts: Data Log Manager as the core of the data logging system Enabling logging and debug options File naming, timestamping, file types, and delimiters Automatic creation of log folders Data collectors and their roles (continuous vs. event-driven logging) Ordering columns in CSV files Using Unity events to trigger data collection Learning Goals: Understand how to configure the Data Log Manager for logging data Learn how to organize and customize data logs, including file settings and folder structure Recognize the difference between continuous and event-driven data collection Understand how to link game events to data logging through scripts and Unity events Know when to seek developer assistance for custom data logging needs Key Takeaways: The Data Log Manager controls all aspects of data logging, including file creation and data formatting Data collectors can log data continuously or only when specific events occur Column order in CSV files can be customized using order values Unity events provide a flexible way to trigger data logging during gameplay Default settings simplify setup, but customization is possible for advanced needs Further Exploration: Search for “Unity Data Logging Best Practices” Search for “Unity Event System Tutorial” Search for “CSV File Handling in Unity” Read about “Custom Data Collectors in Unity” Explore “Runtime Folder Creation in Unity”

Video

Lucia M Rabago Mayer, Jordi Weldink, Amanda Poulin

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

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

27 februari 2026

Teaching & learning for a better future: Education for sustainable development (ESD)

This is a brief introduction to the topic of Sustainable Development in higher education teaching create for teachers. It touches on three areas: 1) Why all higher education teachers should know about sustainable development & should implement ESD into their own teaching. 2) How you, irrespective of your discipline, can address the topic sustainable development in your own teaching. 3) Places where you can find more information & teaching resources.

Presentatie

Sandra Klaperski-van der Wal