| 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 | 117 | 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 | 70 | 2022 |
| 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 | 36 | 2023 |
| 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 | 34 | 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 | 27 | 2022 |
| Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. T Nazaretsky, S Hershkovitz, G Alexandron 12th International Conference on Educational Data Mining 2019, 2019 | 19* | 2019 |
| First steps towards nlp-based formative feedback to improve scientific writing in hebrew M Ariely, T Nazaretsky, G Alexandron EdArXiv, 2020 | 7 | 2020 |
| 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 | 6 | 2023 |
| Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data B Din, T Nazaretsky, Y Feldman–Maggor, G Alexandron 16th International Conference on Educational Data Mining 2023, 2023 | 4 | 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 | 3 | 2022 |
| 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 | 2 | 2024 |
| Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer T Nazaretsky, HH Yolcu, M Ariely, G Alexandron 16th International Conference on Educational Data Mining, 2023 | 2 | 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, 2024 | 1 | 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, 1-37, 2024 | | 2024 |
| 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 | | 2024 |
| Could ChatGPT be an Engineer? Evaluating Higher Education Vulnerability to AI Assistants B Borges, N Foroutan, D Bayazit, S Montariol, M Banaei, A Sakhaeirad, ... AI for Education: Bridging Innovation and Responsibility at the 38th AAAI …, 2023 | | 2023 |
| Demo of GrouPer: Group-based Personalization Application T Nazaretsky, Y Feldman-Maggor, G Alexandron 13th International Conference on Learning Analytics & Knowledge (LAK23), 2023 | | 2023 |
| A New Method for Measuring Similarity Between Educational Items from Response Data T Nazaretsky, S Hershkovitz, G Alexandron The Annual Conference of the Israeli Statistics Association, 2018 | | 2018 |
Giora AlexandronAssistant Professor, Weizmann Institute of Science在 weizmann.ac.il 的电子邮件经过验证
