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Tanya Nazaretsky

EPFL

3 papers hereh-index 9823 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CY1
  • cs.HC1
affiliations
  • EPFL
Homepage
same name
  • Tanya Nazaretsky — 4 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedKappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CY2026

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

Jennifer Meyer, Olaf Köller, Thorben Jansen +33

With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…

cs.HC2025

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

Audrey Zhang, Yifei Gao, Wannapon Suraworachet +2

As generative AI models, particularly large language models (LLMs), transform educational feedback practices in higher education (HE) contexts, understanding students' perceptions…

cs.AI2018★ 1 cited

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

Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron

Sequencing items in adaptive learning systems typically relies on a large pool of interactive assessment items (questions) that are analyzed into a hierarchy of skills or Knowledge…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.