| Teachers' trust in AI‐powered educational technology and a professional development program to improve it T Nazaretsky, M Ariely, M Cukurova, G Alexandron British journal of educational technology 53 (4), 914-931, 2022 | 688 | 2022 |
| An instrument for measuring teachers’ trust in AI-based educational technology T Nazaretsky, M Cukurova, G Alexandron LAK22: 12th international learning analytics and knowledge conference, 56-66, 2022 | 213 | 2022 |
| Confirmation bias and trust: human factors that influence teachers' attitudes towards AI-based educational technology T Nazaretsky, M Cukurova, M Ariely, G Alexandron CEUR Workshop Proceedings 3042, 2021 | 106 | 2021 |
| Empowering teachers with AI: Co-designing a learning analytics tool for personalized instruction in the science classroom T Nazaretsky, C Bar, M Walter, G Alexandron LAK22: 12th international learning analytics and knowledge conference, 1-12, 2022 | 103 | 2022 |
| AI or Human? Evaluating Student Feedback Perceptions in Higher Education T Nazaretsky, P Mejia-Domenzain, V Swamy, J Frej, T Käser 🏆 The 19th European Conference on Technology Enhanced Learning 15159, 284–298, 2024 | 79 | 2024 |
| The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions T Nazaretsky, P Mejia-Domenzain, V Swamy, J Frej, T Käser Computers and Education: Artificial Intelligence 8, 100368, 2025 | 76 | 2025 |
| Machine learning and Hebrew NLP for automated assessment of open-ended questions in biology M Ariely, T Nazaretsky, G Alexandron International journal of artificial intelligence in education 33 (1), 1-34, 2023 | 67 | 2023 |
| Finding Paths for Explainable MOOC Recommendation: A Learner Perspective J Frej, N Shah, M Knezevic, T Nazaretsky, T Käser LAK24: 14th Learning Analytics and Knowledge Conference, 426-437, 2024 | 37 | 2024 |
| Could ChatGPT get an engineering degree? Evaluating higher education vulnerability to AI assistants B Borges, N Foroutan, D Bayazit, A Sotnikova, S Montariol, T Nazaretsky, ... Proceedings of the National Academy of Sciences 121 (49), e2414955121, 2024 | 32 | 2024 |
| Empowering teacher learning with AI: Automated evaluation of teacher attention to student ideas during argumentation-focused discussion T Nazaretsky, JN Mikeska, B Beigman Klebanov LAK23: 13th International Learning Analytics and Knowledge Conference, 122-132, 2023 | 31 | 2023 |
| Causal‐mechanical explanations in biology: Applying automated assessment for personalized learning in the science classroom M Ariely, T Nazaretsky, G Alexandron Journal of Research in Science Teaching 61 (8), 1858–1889, 2024 | 26 | 2024 |
| Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. T Nazaretsky, S Hershkovitz, G Alexandron The 12th International Conference on Educational Data Mining 2019, 129-138, 2019 | 23* | 2019 |
| Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students A Zhang, Y Gao, W Suraworachet, T Nazaretsky, M Cukurova arXiv preprint arXiv:2504.10961, 2025 | 12 | 2025 |
| Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers. Y Feldman-Maggor, T Nazaretsky, G Alexandron 🏆 The 17th International Conference on Computer Supported Education, 436-444, 2024 | 9 | 2024 |
| Enhancing procedural writing through personalized example retrieval: a case study on cooking recipes P Mejia-Domenzain, J Frej, SP Neshaei, L Mouchel, T Nazaretsky, ... International Journal of Artificial Intelligence in Education 35 (1), 330-366, 2025 | 8 | 2025 |
| Exploring the Potential of Automated and Personalized Feedback to Support Science Teacher Learning JN Mikeska, BB Klebanov, A Marigo, J Tierney, T Maxwell, T Nazaretsky International Conference on Artificial Intelligence in Education, 251-258, 2024 | 8 | 2024 |
| First steps towards NLP-based formative feedback to improve scientific writing in Hebrew M Ariely, T Nazaretsky, G Alexandron The 13th International Conference on Educational Data Mining 2020, 565-568, 2020 | 8 | 2020 |
| Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data B Din, T Nazaretsky, Y Feldman–Maggor, G Alexandron The 16th International Conference on Educational Data Mining 2023, 458-465, 2023 | 5 | 2023 |
| Personalized Automated Formative Feedback Can Support Students in Generating Causal Explanations in Biology M Ariely, T Nazaretsky, G Alexandron The 16th International Conference of the Learning Sciences (ICLS 2022), 953-956, 2022 | 5 | 2022 |
| Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer T Nazaretsky, HH Yolcu, M Ariely, G Alexandron 🏆 The 16th International Conference on Educational Data Mining, 453--457, 2023 | 4 | 2023 |
Giora AlexandronAssociate Professor, Weizmann Institute of ScienceVerified email at weizmann.ac.il
