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.
Descriptors: Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge, Career and Technical Education Schools, Technology Uses in Education, Computer Software, Teaching Methods, Ethics, Teacher Attitudes, Measurement Techniques, Self Evaluation (Individuals), Faculty Development, Teacher Education Programs
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