| What explains teachers’ trust in AI in education across six countries? O Viberg, M Cukurova, Y Feldman-Maggor, G Alexandron, S Shirai, ... International Journal of Artificial Intelligence in Education 35 (3), 1288-1316, 2025 | 133 | 2025 |
| An applied research-based approach to support chemistry teachers during the COVID-19 pandemic S Rap, Y Feldman-Maggor, E Aviran, I Shvarts-Serebro, E Easa, E Yonai, ... Journal of chemical education 97 (9), 3278-3284, 2020 | 64 | 2020 |
| Perspectives of generative AI in chemistry education within the TPACK framework Y Feldman-Maggor, R Blonder, G Alexandron Journal of Science Education and Technology 34 (1), 1-12, 2025 | 60 | 2025 |
| What can be learned from lecturers’ knowledge and self-efficacy for online teaching during the Covid-19 pandemic to promote online teaching in higher education R Blonder, Y Feldman-Maggor, S Rap PloS one 17 (10), e0275459, 2022 | 50 | 2022 |
| Integration of open educational resources in undergraduate chemistry teaching–a mapping tool and lecturers' considerations Y Feldman-Maggor, A Rom, I Tuvi-Arad Chemistry Education Research and Practice 17 (2), 283-295, 2016 | 37 | 2016 |
| Let them choose: Optional assignments and online learning patterns as predictors of success in online general chemistry courses Y Feldman-Maggor, R Blonder, I Tuvi-Arad The Internet and Higher Education 55, 100867, 2022 | 36 | 2022 |
| AI for chemistry teaching: Responsible AI and ethical considerations R Blonder, Y Feldman-Maggor Chemistry Teacher International 6 (4), 385-395, 2024 | 30 | 2024 |
| Development and evaluation of an online course on nanotechnology for the professional development of chemistry teachers Y Feldman-Maggor, I Tuvi-Arad, R Blonder International journal of science education 44 (16), 2465-2484, 2022 | 27 | 2022 |
| Behind the scenes of educational data mining Y Feldman-Maggor, S Barhoom, R Blonder, I Tuvi-Arad Education and Information Technologies 26 (2), 1455-1470, 2021 | 24 | 2021 |
| Are they ready to teach? Generative AI as a means to uncover pre-service science teachers’ PCK and enhance their preparation program R Blonder, Y Feldman-Maggor, S Rap Journal of Science Education and Technology 34 (6), 1301-1310, 2025 | 23 | 2025 |
| & Kizilcec, RF (2024). What Explains Teachers’ Trust in AI in Education Across Six Countries O Viberg, M Cukurova, Y Feldman-Maggor, G Alexandron, S Shirai, ... International Journal of Artificial Intelligence in Education, 1-29, 0 | 17 | |
| The Impact of Explainable AI on Teachers’ Trust and Acceptance of AI EdTech Recommendations: The Power of Domain-specific Explanations Y Feldman-Maggor, M Cukurova, C Kent, G Alexandron International Journal of Artificial Intelligence in Education, 1-34, 2025 | 14 | 2025 |
| Navigating the online learning journey by self-regulation: Teachers as learners Y Feldman-Maggor, I Tuvi-Arad, R Blonder Computers & Education 219, 105074, 2024 | 14 | 2024 |
| Teachers' trust and perceptions of AI in education: The role of culture and AI self-efficacy in six countries O Viberg, M Cukurova, Y Feldman-Maggor, G Alexandron, S Shirai, ... CoRR, 2023 | 12 | 2023 |
| Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers. Y Feldman-Maggor, T Nazaretsky, G Alexandron CSEDU (1), 436-444, 2024 | 9 | 2024 |
| Identifying self-regulated learning in chemistry classes–a good practice report Y Feldman-Maggor Chemistry Teacher International 5 (2), 203-211, 2023 | 8 | 2023 |
| & Kizilcec, RF (2023). Teachers’ trust and perceptions of AI in education: The role of culture and AI selfefficacy in six countries. arXiv e-prints, arXiv-2312 O Viberg, M Cukurova, Y Feldman-Maggor, G Alexandron, S Shirai, ... | 7 | |
| Seeing the forest from the trees: Unveiling the landscape of generative AI for education through six evaluation dimensions Y Feldman-Maggor, T Cerratto-Pargman, O Viberg European Conference on Technology Enhanced Learning, 99-105, 2024 | 5 | 2024 |
| Automated identification and validation of the optimal number of knowledge profiles in student response data B Din, T Nazaretsky, Y Feldman-Maggor, G Alexandron Proceedings of the 16th international conference on educational data mining …, 2023 | 5 | 2023 |
| Chatting with code: Exploring LLMs as learning partners in programming education O Viberg, J Wong, Y Feldman-Maggor, N Dunder, CD Epp International Conference on Artificial Intelligence in Education, 453-461, 2025 | 3 | 2025 |
