Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/43671
Title: Generative Artificial Intelligence in Research & Education at Hasselt University
Authors: DANIELS, Nicky 
BERCKMANS, Jolien 
VLIETINCK, Hanne 
KENENS, Ulrike 
Issue Date: 2024
Publisher: OSF
Source: Research-on-Research Online Festival, Online, 2024, May 16
Abstract: Background: Generative Artificial Intelligence (GenAI) has become increasingly popular for many purposes and has found its way into daily practices of education and research. Numerous research institutes have published guidelines and policies on the use of GenAI, highlighting both the pitfalls and the opportunities GenAI offers in this context. Last year, our education department at Hasselt University published the first version of the Framework for using GenAI in higher education. Along with an update of this initial framework, we want to expand the generic guidelines with an overview of GenAI tools for specific research purposes used at the institution. Aim: We aim to collect input from personnel at Hasselt University on how they currently use or want to use GenAI in Research & Education at Hasselt University. Based on the results of this needs assessment, we will develop institutional guidelines for using GenAI by personnel. Currently, we are reviewing the existing guidelines and policies to start drafting our framework for research at Hasselt University. In parallel, we are conducting a survey at the institution to gain insights into the daily GenAI use of researchers and will share the results during this talk. Intended Impact of the Study: The results of the questionnaire will be used to develop the current framework further on the use of generative artificial intelligence in research and education at Hasselt University, highlighting both the opportunities and challenges.
Keywords: RDM;education;genAI;generative artificial intelligence;policy;research;research data management;research integrity;responsible research practices
Document URI: http://hdl.handle.net/1942/43671
Link to publication/dataset: https://osf.io/7psu2/
DOI: 10.17605/OSF.IO/7PSU2
Rights: CC-By Attribution 4.0 International
Category: C2
Type: Conference Material
Appears in Collections:Research publications

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