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ERIC Number: EJ1462538
Record Type: Journal
Publication Date: 2025-Feb
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1629
EISSN: EISSN-1556-6501
Available Date: 2024-09-09
Evidence-Based Development of an Instrument for the Assessment of Teachers' Self-Perceptions of Their Artificial Intelligence Competence
Jan Delcker1; Joana Heil1; Dirk Ifenthaler1,2
Educational Technology Research and Development, v73 n1 p115-133 2025
Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the required competencies of teachers related to AI is scarce. This study builds on an AI competence model and investigates predispositions of AI competence among N = 480 teachers in vocational schools. Results indicate that AI competence can be modeled as combining six competence dimensions. Findings suggest that the different competence dimensions are currently unequally developed. Pre- and in-service teachers need professional learning opportunities to develop AI competence.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1University of Mannheim, Mannheim, Germany; 2Curtin University, Perth, Australia