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HBO/WO

MBO

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

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

10 maart 2025

EPIFFANI Project Results

These are the combined results for the EPIFFANI Project by Prof. Nicolas Mangin. This project was funded buy SURF's Stimuleringsregeling open en online onderwijs. The aim of the project was to build and test a set of four open source applications for R/integration into the LMS, which allowed teachers to easily automate formative testing through IT solutions. With these applications, teachers can easily and quickly create automate the processing of making tests with personalized feedback for students. The results have three elements: A full project report, which provides context for the creation and creation process A link to Youtube video demonstration of the tools, made for the University of Groningen's education festival 2022 A link to the Github page of project lead Nicolas Mangin. On this page, all the packages can be downloaded, and documentation and instruction are available All tools are licensed under a GPL-3 license, but as this license is not available, it has been noted as CC BY-SA here.

Document

Nicolas Mangin

17 februari 2025

Presentation Multiplier Event

Presentation Multiplier Event February 13th 2025.

Presentatie

B.K.G. (Berno) van Meijel, Claar D. van der Maarel-Wierink, Nicolas Giraudeau, Henrique Luis, Luis Luis

28 januari 2025

Maintaining Classroom Management

In this report, the design of a blueprint for learning classroom management is presented. This program will be designed for pre-service lower secondary school teachers in the Netherlands (age group 11 to 16-year-old students; 2e graads in Dutch). These teachers are completing a bachelor’s degree in a specific subject area and take a six-month minor in which they receive pedagogical and didactical training to be prepared for teaching in secondary schools. This minor is accompanied by an internship in which the pre-service teachers put their skills into practice.Although the minor allots extensive attention to classroom management, teachers often struggle to manage both class and content. This is understandable as, although classroom management can be learned with the right amount of practice and support, mastery of classroom management skills takes around four years on average takes. To guide pre-service teachers well on their way towards mastering classroom management, a rigorous and evidence-based approach to teaching classroom management to pre-service teachers is needed. An evidence-based approach should allow for a productive and enjoyable learning process for pre-service teachers. One well-studied approach is found in the Four Component Instructional Design (4C/ID) model which offers an evidence-based approach to teaching complex skills. This paper adapts the 4C/ID model and applies it to the skill of classroom management for pre-service teachers in the Netherlands.

Document

Athanasios Stoidis, Milan Gomes, Sofia Souloglou, Fatemeh Zarei, V.E. Morssink-Santing, Jolien Mouw

1 september 2023

Measuring academic impact: An author-level metric: the H-index

An author-level metric: the h-index The H-index, proposed by physicist J.E. Hirsch (hence the H) in 2005, is a way to measure the individual academic output of a researcher. Which H-index? To create the list of publications and the number of citations received you can use different sources. Determining the H-index in Web of Science, Scopus and Google Scholar In these handouts you can find the steps to determine the H-index of a researcher in. Related. Support.

Website

Erasmus University Library

23 augustus 2023

Lecture: EU Human Rights Legislation

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

Website

HCAIM Consortium

23 augustus 2023

Interactive session: EU Human Right Legislation - A case study

The European Union (EU) has long been a champion of human rights, enshrining them in various legislations to protect the fundamental freedoms and dignity of its citizens. To delve deeper into the practical application of EU human rights legislation, an interactive session was organized. This session aimed to unravel the intricacies of EU human rights law using a compelling case study, fostering a better understanding among participants. The interactive session is meticulously designed to unravel the complexities of EU human rights legislation through an engaging case study. By focusing on a real-life scenario, participants were able to grasp the nuanced ways in which EU law intersects with the protection of human rights. The interactive session provides a unique opportunity for participants to dive into the practical application of EU human rights legislation through a compelling case study. By engaging in legal analysis, role play, and thoughtful debate, attendees gained a deeper understanding of how EU law upholds and protects human rights in complex real-world situations. The session not only enriched participants' knowledge of EU legal frameworks but also highlighted the ongoing importance of human rights in shaping the European legal landscape.

Website

HCAIM Consortium

23 augustus 2023

Interactive session: Risk & Risk mitigation

Recognize, analyze and discuss the necessity and the role of security testing in AI. Employ documents, such as the AI Act, to classify use cases into risk categories. Discuss in-depth and with common European vocabulary on AI risk and how can AI be designed safely and benevolently, in ways that will not expose humans to unacceptable risks of harm, even when risky behaviour may advance a system goal. Classify the obligations of providers and users in relation to AI risk management. Discuss the requirements for high-risk AI systems as per the AI Act. Elaborate and recognize specific risks and risk taxonomies, relevant throughout the different stages of the AI lifecycle.

Website

HCAIM Consortium

23 augustus 2023

Lecture: Fair Operating Practices - AI Recruitment and Malpractices of AI Monitoring

Understand the principles of fair operating practices in AI recruitment, including the importance of transparency, accountability, and bias mitigation. Identify responsible AI monitoring practices, including informed consent and transparent policies. Recognize potential ethical concerns and legal frameworks for using AI in recruitment and monitoring.

Website

HCAIM Consortium