Foresight Methodologies in Responsible GenAI Education

Insights from the Intermedia-Lab at Complutense University Madrid

Bibliographic Data

ID22047851
AuthorsAsunción López-Varela Azcárate (0000-0003-1616-5830, Universidad Complutense de Madrid, corresponding author)
Year2024
Volume14
Issue8
Pages834
Publication date2024-07-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci14080834
OpenAlexW4401210430
LanguageEN
Citations received3
References cited20

This study, conducted at Complutense Intermedia-Lab, employs a dual approach to explore university students’ use of Generative AI (GenAI), combining a survey with foresight methodologies (Sci-fi prototyping). The initial survey gathers baseline data on students’ experiences, attitudes, and concerns regarding GenAI, providing a comprehensive understanding of current practices among university students in Spain. This empirical foundation informs subsequent Sci-fi prototyping sessions, where students creatively envision future scenarios, fostering futurist thinking and deeper engagement. By integrating principles of Responsible Research and Innovation (RRI), this approach facilitates a nuanced exploration of GenAI’s potential impacts on education. The incorporation of both quantitative data collection and qualitative foresight methods in this study serves to navigate challenges and level opportunities of promoting the ethical and inclusive incorporation of GenAI in Higher Education, ensuring that future innovations align with societal values and needs

Engineering ethics · Futures studies · Futurist · Higher education · Knowledge management · Pedagogy · Political science · Social science · Sociology · Computer Science · Engineering · Innovation, Sustainability, Human-Machine Systems · Interdisciplinary Research and Collaboration · Psychology · Sustainability in Higher Education

Tools

Open DOIOpen Access