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ORCIDTanya Nazaretsky
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2020 – today
- 2024
[c12]Paola Mejia-Domenzain
, Tanya Nazaretsky, Simon Schultze, Jan Hochweber, Tanja Käser:
Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. AIED (2) 2024: 104-118- [c11]Jamie N. Mikeska, Beata Beigman Klebanov, Alessia Marigo, Jessica Tierney, Tricia Maxwell, Tanya Nazaretsky:
Exploring the Potential of Automated and Personalized Feedback to Support Science Teacher Learning. AIED (2) 2024: 251-258 - [c10]Yael Feldman-Maggor, Tanya Nazaretsky, Giora Alexandron:
Explainable AI for Unsupervised Machine Learning: A Proposed Scheme Applied to a Case Study with Science Teachers. CSEDU (1) 2024: 436-444 - [c9]Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser:
AI or Human? Evaluating Student Feedback Perceptions in Higher Education. EC-TEL (1) 2024: 284-298 - [c8]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. LAK 2024: 426-437 - 2023
- [j2]Moriah Ariely, Tanya Nazaretsky, Giora Alexandron:
Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology. Int. J. Artif. Intell. Educ. 33(1): 1-34 (2023) - [c7]Brad Din, Tanya Nazaretsky, Yael Feldman-Maggor, Giora Alexandron:
Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data. EDM 2023 - [c6]Tanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron:
Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer. EDM 2023 - [c5]Tanya Nazaretsky, Jamie N. Mikeska, Beata Beigman Klebanov:
Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion. LAK 2023: 122-132 - [i2]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. CoRR abs/2312.10082 (2023) - 2022
- [j1]Tanya Nazaretsky, Moriah Ariely, Mutlu Cukurova, Giora Alexandron:
Teachers' trust in AI-powered educational technology and a professional development program to improve it. Br. J. Educ. Technol. 53(4): 914-931 (2022) - [c4]Tanya Nazaretsky, Carmel Bar, Michal Walter, Giora Alexandron:
Empowering Teachers with AI: Co-Designing a Learning Analytics Tool for Personalized Instruction in the Science Classroom. LAK 2022: 1-12 - [c3]Tanya Nazaretsky, Mutlu Cukurova, Giora Alexandron:
An Instrument for Measuring Teachers' Trust in AI-Based Educational Technology. LAK 2022: 56-66 - 2020
- [c2]Moriah Ariely, Tanya Nazaretsky, Giora Alexandron:
First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew. EDM 2020
2010 – 2019
- 2019
- [c1]Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron:
Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. EDM 2019 - 2018
- [i1]Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron:
Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data. CoRR abs/1812.08390 (2018)
Coauthor Index
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