ABSTRACT VIEW
BEST PRACTICES AND CHALLENGES IN INTEGRATING GENERATIVE ARTIFICIAL INTELLIGENCE IN TEACHER EDUCATION IN ISRAEL
E. Halfon1, S. Bar-Tal2, A. Glassner3, O. Goldstein4, Z. Libman5, I. Linder6, N. Marae Haj7, H. Shelly-Huber8, M. Shonfeld5, E. Yariv9, W. Zidan7, L. Kozminsky4
1 Shaanan College of Education (ISRAEL)
2 The Academic College Levinsky-Wingate (ISRAEL)
3 Kaye Academic College of Education (ISRAEL)
4 The MOFET Institute (ISRAEL)
5 Kibbutzim College of Education, Technology and the Arts (ISRAEL)
6 Tel-Hai College (ISRAEL)
7 The Academic Arab College for Education in Israel (ISRAEL)
8 Gordon Acdemic College of Education (ISRAEL)
9 Givat Washington Academic College of Education (ISRAEL)
The rapid advancement of artificial intelligence (AI) is driving pedagogical innovation in higher education, particularly within teacher education institutions. Faculty members are actively exploring AI’s educational potential, experimenting with new methodologies, and gaining insights into its impact. However, this process also presents challenges, including uncertainty regarding the implications of AI integration for educators, students, and the broader education system.

This study examines the integration of AI in teaching among faculty at Israeli teacher education institutions, focusing on their pedagogical perspectives, perceived benefits for students, advantages, challenges, and the key factors influencing AI implementation. Employing a qualitative phenomenological approach, the study captures the experiences of pioneering faculty members from six teacher education institutions with diverse characteristics. Data were collected through semi-structured in-depth interviews and focus groups, involving 44 academic faculty members and six heads of Center for promotion of Learning and Teaching.
Preliminary findings indicate that faculty pioneers are actively seeking ways to enhance student learning by transforming traditional pedagogical approaches. Many perceive AI integration as a significant and transformative shift, yet their engagement remains in an exploratory phase. Despite uncertainties surrounding the future of academic learning in the AI era, participants acknowledge the necessity for both faculty and students to cultivate lifelong learning skills. This perspective fosters a pedagogical approach that emphasizes independent learning and critical thinking, supported by both human and AI-based resources.

Key challenges identified include the rapid pace of AI advancements, which complicates faculty efforts to stay informed about emerging teaching applications; the need to refine assessment methods to better support autonomous learning; and ethical concerns, particularly those related to academic integrity.

The findings contribute to a deeper understanding of AI integration in teacher education and offer valuable pedagogical insights and best practices for higher education institutions in Israel and the international academic community.

Keywords: Artificial Intelligence, Teacher Education, Pedagogical Innovation.

Event: EDULEARN25
Track: Digital Transformation of Education
Session: Data Science & AI in Education
Session type: VIRTUAL