About the Project
AI‑EmpaTe equips teacher education students and primary/secondary teachers with the knowledge, skills, and competencies to introduce AI as teaching content across educational levels.
Our main goal is an open online course with practical modules that help teachers plan, prepare, and implement AI content from scratch.
Project Results
Tangible deliverables and expected impacts of AI‑EmpaTe.
Publications
Scientific outputs and detailed reports from our research.
Evaluation Framework for Artificial Intelligence Literacy
Selcuk, H., Černochová, M., Cohen, A., Cohen, G., Voštinár, P., Skrinarova, J., Yaakov Azaria, A., Margaliot, R., Bronshtein, A., Jerabek, T., & Beneš, M. (2026). AI-EmpaTe Project.
Handbook on the Best Practices on AI Use - Volume 1
Selcuk, H., Černochová, M., Cohen, A., Cohen, G., Voštinár, P., Skrinarova, J., Yaakov Azaria, A., Margaliot, R., Bronshtein, A., Jerabek, T., Beneš, M., Grovas, G., Avidov, D., Mintz, Y. P., Bartour, N., & Aizenberg, L. (2026). AI-EmpaTe Project.
Generative Artificial Intelligence (GenAI) in K-12 Education
Černochová, M., Selcuk, H., Cohen, A., Cohen, G., Yaakov Azaria, A., Jeřábek, T., Beneš, M., Skrinarová, J., & Voštinár, P. (2025). Generative artificial intelligence (GenAI) in K-12 education: National policy perspectives from Czechia, Israel, Latvia, and Slovakia. Pedagogika Journal. 75(4),381-400.
Knowledge, Attitudes, and Perceptions of Teachers and Pre-Service Teachers Regarding the Use of Generative Artificial Intelligence in Teaching and Learning
Margaliot, R., Cohen, G., Yaakov Azaria, A., Cohen, A., & Bronstein, E. (2025). Knowledge, attitudes, and perceptions of teachers and pre-service teachers regarding the use of generative artificial intelligence in teaching and learning. In Proceedings of the 23rd Annual MEITAL Conference: Higher education in the age of generative artificial intelligence (GenAI): Technology-enhanced teaching and learning in higher education (pp. 3–10). MEITAL.
Cautious Acceptance and Shared Responsibility: Latvian Parents’ Perspectives on Generative AI in Education
Selcuk, H., Černochová, M., Bogdanovs, G., Jeřábek, T., Cohen, A., Cohen, G., & Yaakov Azaria, A. (2026). Cautious acceptance and shared responsibility: Latvian parents’ perspectives on generative AI in education. In H. Kratochvilova, R. Kratochvil, & M. Konecki (Eds.), Proceedings of IAC in Prague 2026 (pp. 79–88). Czech Institute of Academic Education.
AI-EmpaTe Webinar Series
25 Nov 2025 • 13:00–14:00 CET
Educators in the Loop: Building Meaningful Human-AI Partnerships in Education
12 Feb 2026 • 19:00–20:00 CET
From Ideas to Plans: How GenAI Can Enhance Lesson Planning
19 Feb 2026 • 19:00–20:00 CET
Teaching with GenAI: Enhancing Instruction and Classroom Interaction
26 Feb 2026 • 19:00–20:00 CET
Rethinking Assessment: Using GenAI for Feedback & Evaluation