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Bridging theory and practice: A comprehensive model for AI acceptance among secondary school teachers
Hau, Daniela; REUTER, Robert A.P.; Drews, Olga Marmo et al.
2024In Altinay, Zehra (Ed.) Proceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024
Editorial reviewed
 

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Keywords :
AI acceptance model; AI adoption; AI in education; mixed methods; secondary education; teachers; technology acceptance model; vignettes; Acceptance models; Artificial intelligence acceptance model; Artificial intelligence adoption; Artificial intelligence in education; Mixed method; Secondary education; Teachers'; Technology acceptance model; Theory and practice; Vignette; Artificial Intelligence; Computer Vision and Pattern Recognition; Human-Computer Interaction; Media Technology; Education
Abstract :
[en] This PhD project critically examines the integration of artificial intelligence (AI) in secondary education in Luxembourg from a unique psycho-socio-technological perspective, focusing on teacher acceptance and adoption. Through a carefully designed mixed-methods approach, the study initiates with qualitative interviews to capture the nuances of teachers' experiences and attitudes towards AI. These findings will guide a systematic literature review to assess the applicability of traditional technology acceptance models to AI in education. The project innovates with a 'mise en situation' approach, using vignettes in a subsequent quantitative survey to assess acceptance in realistic teaching and learning contexts. This methodology bridges the gap between theoretical constructs and practical application, offering significant contributions to academic and educational practice. By developing a nuanced model of AI acceptance, the research aims to inform policy-making, curriculum development and professional development strategies. The anticipated findings promise to advance the discourse on AI integration in education, highlighting the complex interplay of factors influencing teacher acceptance and facilitating more effective adoption of AI technologies in educational settings.
Disciplines :
Education & instruction
Author, co-author :
Hau, Daniela;  Department of Education and Social Work, University of Luxembourg, Esch-Belval, Luxembourg
REUTER, Robert A.P.  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Education and Social Work (DESW) > Teaching and Learning
Drews, Olga Marmo;  Department of System and Computer, Universidad de los Andes, Bogotá, Colombia
HOUSSEMAND, Claude ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Education and Social Work (DESW) > Lifelong Learning and Guidance
External co-authors :
yes
Language :
English
Title :
Bridging theory and practice: A comprehensive model for AI acceptance among secondary school teachers
Publication date :
2024
Event name :
2024 IEEE International Conference on Advanced Learning Technologies (ICALT)
Event place :
Hybrid, Nicosia, Cyp
Event date :
01-07-2024 => 04-07-2024
Audience :
International
Main work title :
Proceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024
Editor :
Altinay, Zehra
Publisher :
Institute of Electrical and Electronics Engineers Inc.
ISBN/EAN :
9798350362053
Peer reviewed :
Editorial reviewed
Focus Area :
Educational Sciences
Development Goals :
4. Quality education
Available on ORBilu :
since 02 October 2024

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