21 september 2026
AI Literacy for Lecturers selfpaced online course by Teaching and Learning Services, TU Delft.
Judith Kesler-van der Lugt
16 september 2026
Mendeley is a program that can easily store your information sources. You can also add notes or the full text if you like. You can put your information sources into folders and share these folders with other people. You can tag each source with keywords so you can easily find your sources in Mendeley. In short, you can create your own digital 'library' with your own structure.
Annelies Kuijten, Els Holman-van Gorkum, Jeanine Geleijns
25 augustus 2026
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).
Kim Dibbets, Babette Claassen, Linde Voorend
19 augustus 2026
The project Game Development with Students introduces interested educators to an innovative teaching tool with practical insights from the international relations classroom. Game development with students is a specialized form of game-based and project-based learning. It incentivizes both student creativity and in-class student-teacher co-creation and enables a particularly participative and result-oriented approach to the subject matter. The method is thematically flexible enough to travel across different fields of study and is adaptable to different levels of complexity. To enable other educators to implement this innovative teaching tool, we develop instructional materials (an educators handbook as well as educational videos), providing both general information on the experiential, game-based learning theory undergirding the method as well as practical, hands-on tips and trick on how to implement it in different educational settings. In doing so, we address the important, interconnected educational challenges of the transferability and sustainability of teacher developed tools.
Saskia Ruth-Lovell, Bertjan Verbeek, Jorn Weessies
13 augustus 2026
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.
Marijn Post, Marja Versantvoort
11 augustus 2026
Systematic search is necessary when searching for literature for a systematic review or when you are conducting meta-analysis, for example. It helps you think about what exactly you want to find and increases the chances of getting a good search result. In this e-learning you learn how to set up a systematic review.
Universiteitsbibliotheek Utrecht
1 augustus 2026
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?
Susanne Kirchhoff
27 juli 2026
The Index of Medieval Art houses, contextualizes, and presents images and information relating to the iconographic traditions of the medieval world. Founded in 1917 and maintained by a specialized staff of art historians, it serves iconographic researchers through both its physical archive on the Princeton University campus and an expanding online database. Its ongoing program of conferences and publications provides opportunities for continuing scholarly and public discourse about the visual culture of the Middle Ages. Once a subscription service, the online database has been freely available to the public since 2023. Online holdings comprise 177, 306 (to date) online records of works of art from early apostolic times to ca. 1600. While western European and Byzantine Christian art remain most heavily represented, secular, Jewish, and Islamic art is also being added.
The Trustees of Princeton University
23 juli 2026
Kennismaking met UB en wetenschappelijke literatuur
Rian Kriesels, Kim Dibbets, Linda Schoonmade, Emma Besijn, Sebastien Valkenberg, Arjan De Rooy, Ruben Wiering, Michèle Meijer, Anouk Nuijten, Rick Vermunt, Marijn de Groote, Harm le Grand (Kennisnet), Linde Voorend
21 juli 2026
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.
Marc F.P. Bierkens