Tanya Nazaretsky

According to our database, Tanya Nazaretsky authored at least 29 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Tailoring Scaffolding to Diagnostic Strategies: Theory-Informed LLM-Based Agents.

Fatma Betül Güres, Tanya Nazaretsky, Tanja Käser

CoRR, May, 2026

REFINE: Real-world Exploration of Interactive Feedback and Student Behaviour.

Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic, Tanya Nazaretsky, Tanja Käser

CoRR, March, 2026

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?

Jennifer Meyer, Olaf Köller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, René F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Pünjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi E. Winstone

CoRR, March, 2026

Who Gives Feedback Matters: Student Biases Towards Human and AI -Generated Formative Feedback.

Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser

J. Comput. Assist. Learn., 2026

Can students judge like experts? A large-scale study on the pedagogical quality of AI and human personalized formative feedback.

Tanya Nazaretsky, Hagit Gabbay, Tanja Käser

Comput. Educ. Artif. Intell., 2026

Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning.

Fatma Betül Güres, Tanya Nazaretsky, Seyed Parsa Neshaei, Tanja Käser

Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

2025

Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students.

Audrey Zhang, Yifei Gao, Wannapon Suraworachet, Tanya Nazaretsky, Mutlu Cukurova

CoRR, April, 2025

Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes.

Paola Mejia-Domenzain, Jibril Frej, Seyed Parsa Neshaei, Luca Mouchel, Tanya Nazaretsky, Thiemo Wambsganss, Antoine Bosselut, Tanja Käser

Int. J. Artif. Intell. Educ., March, 2025

The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions.

Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser

Comput. Educ. Artif. Intell., 2025

SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling.

Fares Fawzi, Vinitra Swamy, Dominik Glandorf, Tanya Nazaretsky, Tanja Käser

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification.

Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia-Domenzain, Tanya Nazaretsky, Tanja Käser

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Educator Professional Development Through LA and AIED Participatory Design: A Missing Link.

Tanya Nazaretsky

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 2025

Leveraging Knowledge Profiles and Generative AI for Realistic Student Response Generation.

Eylül Ipçi, Tanya Nazaretsky, Tanja Käser

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning.

Fatma Betül Güres, Tanya Nazaretsky, Bahar Radmehr, Martina A. Rau, Tanja Käser

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective.

Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

AI or Human? Evaluating Student Feedback Perceptions in Higher Education.

Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers.

Yael Feldman-Maggor, Tanya Nazaretsky, Giora Alexandron

Proceedings of the 16th International Conference on Computer Supported Education, 2024

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

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities.

Paola Mejia-Domenzain, Tanya Nazaretsky, Simon Schultze, Jan Hochweber, Tanja Käser

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology.

Moriah Ariely, Tanya Nazaretsky, Giora Alexandron

Int. J. Artif. Intell. Educ., March, 2023

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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer.

Tanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data.

Brad Din, Tanya Nazaretsky, Yael Feldman-Maggor, Giora Alexandron

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022

Teachers' trust in AI-powered educational technology and a professional development program to improve it.

Tanya Nazaretsky, Moriah Ariely, Mutlu Cukurova, Giora Alexandron

Br. J. Educ. Technol., 2022

An Instrument for Measuring Teachers' Trust in AI-Based Educational Technology.

Tanya Nazaretsky, Mutlu Cukurova, Giora Alexandron

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

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

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

2020

First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew.

Moriah Ariely, Tanya Nazaretsky, Giora Alexandron

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data.

Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data.

Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron

CoRR, 2018