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
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
13 juli 2026
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.
Eef Benthem, Lars Feddema, Emma Mulder, Evelien Terwel, Addy Traficonte
9 juli 2026
Dit document beschrijft het kwaliteitsproces voor digitale leermaterialen binnen de HAN en de elementen die nodig zijn om dat proces betrouwbaar, herhaalbaar en bruikbaar te maken. Het bevat 1. De werkwijze voor de kwaliteitscheck van digitale leermaterialen; 2. Het HAN-kwaliteitsmodel voor digitale leermaterialen; 3. Richtlijnen en een template voor (peer)review van digitaal leermateriaal; 4. Een toelichting op de toepassing van het kwaliteitsmodel en (peer)review binnen de leermaterialencyclus.
18 juni 2026
NHL Stenden
16 juni 2026
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.
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
9 juni 2026
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.
Anna-Lena Hoh, Marieke Schor, Floor Ruiter, Candan Yılmaz
15 maart 2026
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.
Jasmijn van Gorp