| 2026 | AIED | REFINE: Real-World Exploration of Interactive Feedback and Student Behaviour. | Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic, Tanya Nazaretsky, Tanja Kser |
| 2026 | LAK | Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning. | Fatma Betl Gres, Tanya Nazaretsky, Seyed Parsa Neshaei, Tanja Kser |
| 2025 | AIED | How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning. | Fatma Betl Gres, Tanya Nazaretsky, Bahar Radmehr, Martina A. Rau, Tanja Kser |
| 2025 | AIED | Leveraging Knowledge Profiles and Generative AI for Realistic Student Response Generation. | Eyll Ipi, Tanya Nazaretsky, Tanja Kser |
| 2025 | EDM | Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification. | Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia-Domenzain, Tanya Nazaretsky, Tanja Kser |
| 2025 | EMNLP | SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling. | Fares Fawzi, Vinitra Swamy, Dominik Glandorf, Tanya Nazaretsky, Tanja Kser |
| 2024 | AIED | Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. | Paola Mejia-Domenzain, Tanya Nazaretsky, Simon Schultze, Jan Hochweber, Tanja Kser |
| 2024 | AIED | Exploring the Potential of Automated and Personalized Feedback to Support Science Teacher Learning. | Jamie N. Mikeska, Beata Beigman Klebanov, Alessia Marigo, Jessica Tierney, Tricia Maxwell, Tanya Nazaretsky |
| 2024 | CSEDU | Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers. | Yael Feldman-Maggor, Tanya Nazaretsky, Giora Alexandron |
| 2024 | LAK | Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. | Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Kser |
| 2023 | EDM | Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data. | Brad Din, Tanya Nazaretsky, Yael Feldman-Maggor, Giora Alexandron |
| 2023 | EDM | Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer. | Tanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron |
| 2023 | LAK | Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion. | Tanya Nazaretsky, Jamie N. Mikeska, Beata Beigman Klebanov |
| 2022 | LAK | Empowering Teachers with AI: Co-Designing a Learning Analytics Tool for Personalized Instruction in the Science Classroom. | Tanya Nazaretsky, Carmel Bar, Michal Walter, Giora Alexandron |
| 2022 | LAK | An Instrument for Measuring Teachers' Trust in AI-Based Educational Technology. | Tanya Nazaretsky, Mutlu Cukurova, Giora Alexandron |
| 2020 | EDM | First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew. | Moriah Ariely, Tanya Nazaretsky, Giora Alexandron |
| 2019 | EDM | Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. | Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron |