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

Filteren

Zoekresultaten (49)

HBO/WO

MBO

23 juli 2026

Finding Scientific Literature (General)

How to do literature research.

WoDocument

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

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

17 december 2025

Onderwijs & AI Module voor Docenten

Generative Artificial Intelligence (genAI), ofwel generatieve kunstmatige intelligentie, maakt een snelle groei door. De nieuwste generatie genAI tools is zo goed dat het steeds moeilijker wordt te onderscheiden of een tekst door een mens of AI is geschreven. De ontwikkeling van genAI heeft dan ook een grote impact op de maatschappij en daarmee ook op het onderwijs. Daarnaast kan genAI onderdeel uit gaan maken van de toekomstige werkpraktijk van vele studenten. De realiteit is dat deze technologie er is en we zullen ons ertoe moeten verhouden. Hoewel de eindverantwoordelijkheid voor het gebruik van genAI ligt bij de student zelf, hebben wij de verantwoordelijkheid om hen te helpen hier op een verantwoorde manier mee om te gaan. Deze module beoogt hierbij te ondersteunen. Na het doorlopen van deze module ben je bekend met: Wat genAI is. Wat de impact van genAI is op onze wereld. De juridische kaders van genAI. De relatie tussen genAI en academische waarden en integriteit. De manieren waarop studenten genAI kunnen gebruiken en wat dat kan betekenen voor academisch onderwijs. De impact die genAI kan hebben op jouw onderwijs. Elk van de bovenstaande leerdoelen hoort bij één hoofdstuk van deze module. Deze module is gebaseerd op de module AI geletterdheid van de Rijksuniversiteit Groningen. De module is zowel in het Nederlands als het Engels beschikbaar en wordt hier aangeboden als Brightspace package. Dit zou ook in Canvas geïmporteerd kunnen worden.

Document

Steven Trooster, Max Moeskops

14 september 2025

GenAI Literacy presentations

These PowerPoints are designed to provide teachers the means to improve their students' AI literacy. The presentation is divided into seven themes: 1: What is Generative AI? 2: How does Generative AI work? 3: Prompting 4: GenAI and hallucinations (in development) 5: GenAI and bias 6: GenAI and sustainability 7: Gen AI and privacy/ bias Each topic includes a section focusing on traditional knowledgetransfer and a simple, active learning method. This material is licensed under CC BY-NC-SA 4.0. Created by the Teaching and Learning Centre (TLC) of UvA Centraal in collaboration with the TLC of the Faculty of Medicine.

Presentatie

Jesper Pool, Remco Jongkind, Sophie van Dijke, Job Radelaar, Frans Aris, Bjarne de Beer, Palina Vasilyeva, Ivar Kolvoort

11 september 2025

Finding Scientific Literature (Economics, BA)

How to do literature research for first year bachelor students.

WoDocument

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

8 september 2025

Finding Scientific Literature (Social Sciences, BA)

How to do literature research.

WoDocument

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

1 september 2025

Self-assessment C1 of CEFR

This is a checklist for speaking at the C1 level of the CEFR, adapted from the Companion Volume of the Common European Framework of Reference.

HboDocument

Council of Europe

1 september 2025

Self-assessment B2 of CEFR

This is a self-assessment checklist for B2 of the CEFR, based on the Companion Volume of the Common European Framework of Reference

HboDocument

Council of Europe

1 september 2025

Economics in the Digital Age: Insights and Applications

This book serves as an essential resource for both undergraduate and graduate programs due to its comprehensive approach to digital economics: Theoretical Integration: It integrates classical economic theories with the digital economy, demonstrating how traditional principles apply to new digital realities. Practical Frameworks: It provides actionable insights for analyzing digital market trends and monetization strategies, relevant for students, managers, and business professionals alike. Case Studies and Real-World Applications offer concrete examples of digital transformations, making complex concepts more accessible and useful for research and coursework. Advanced Analytical Tools: The book helps students develop the analytical skills needed to evaluate digital business strategies, market dynamics, and the broader economic impact of digital technologies. For professionals, this book provides strategic guidance on navigating the challenges and opportunities of the digital economy. By understanding the core economic principles behind digital business models, managers can make informed decisions on everything from digital marketing to product development, all while anticipating and mitigating risks like cybersecurity threats or regulatory changes.

Open (Access) Tekst Boek

Shilpa Samplonius-Raut

1 juli 2025

AI as a science - course manual

AI as a Science aims to highlight how research involving “artificial intelligence” can be considered scientific, and what that means for us as scholars engaged in this — and related — areas of study. During the course, we will explore answers to questions such as: What is AI? What role do scientists play in the development of AI? And vice versa: what role do AI researchers play in the scientific investigations of computation, artificial intelligence, and intelligence more broadly? Do such roles come with responsibilities and ethical duties? We will explore these questions dialogically (i.e., through dialogue, discussions, and presentations), as well as through lectures. Perspectives will include critical, historical, sociological, and philosophical angles. We will touch on: The history of AI, going as far back as ancient Chinese and Greek civilizations; future projections, including the possibility of another "AI winter." Ultimately, you will aim to answer for yourselves: Is AI a science? Can it be? Will it be? The course will be examined through: Group presentation – You will be split into teams to create a presentation (see Presentation). The presentation combines: Group collaboration, An individual (or more than one person’s) presentation (10 minutes max). Final essay – You may choose a topic related to the course and aligned with your background or interests (see Essay). The essay will take the form of a literature review or journal-style article, aiming to: Deepen and/or broaden your knowledge on one or more topics from the course, Allow you to zoom in or out and develop your own unique perspective. Learning Goals: AI as a Science aims to teach you — and for you to teach yourselves — how to: Define science and AI, critically and in your own words. Understand the historical context of AI: When did AI or AI-like disciplines and ideas emerge? Understand the current state of AI and explore possible futures: Is time a flat circle when it comes to recurring “AI winters”?

Document

Olivia Guest