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Tanya Nazaretsky

Biographic Data

ID9494178
NAMETanya Nazaretsky
GIVEN NAMESTanya
FAMILY NAMENazaretsky
SIGNATURENAZARETSKY T
AFFILIATIONSDepartment of Science Teaching Weizmann Institute of Science Rehovot Israel
ORCID0000-0003-1343-0627
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Who Gives Feedback Matters

    Open Access•Tanya Nazaretsky, Paola Mejia‐Domenzain et al.•ARTICLE•Journal of Computer Assisted…•2026

  • Causal‐mechanical explanations in biology

    Open Access•Moriah Ariely, Tanya Nazaretsky et al.•ARTICLE•Journal of Research in Science…•2024

    One of the core practices of science is constructing scientific explanations. However, numerous studies have shown that constructing scientific explanations poses significant challenges to students. Proper assessment of scientific explanations is costly and time‐consuming, and teachers often do not have a clear definition of the educational goals for formulating scientific explanations. Consequently, teachers struggle to support their students in…

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

    Open Access•Tanya Nazaretsky, Moriah Ariely et al.•ARTICLE•British Journal of Educational…•2022

    Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI‐specific misconceptions, myths and fears (e.g., mass unemployment and privacy violations). In recent years, AI has been incorporated increasingly into K‐12 education. However, little resea…

No prominent works on this page.

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

    Open Access•Tanya Nazaretsky, Moriah Ariely et al.•ARTICLE•British Journal of Educational…•2022

    Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI‐specific misconceptions, myths and fears (e.g., mass unemployment and privacy violations). In recent years, AI has been incorporated increasingly into K‐12 education. However, little resea…

  • Causal‐mechanical explanations in biology

    Open Access•Moriah Ariely, Tanya Nazaretsky et al.•ARTICLE•Journal of Research in Science…•2024

    One of the core practices of science is constructing scientific explanations. However, numerous studies have shown that constructing scientific explanations poses significant challenges to students. Proper assessment of scientific explanations is costly and time‐consuming, and teachers often do not have a clear definition of the educational goals for formulating scientific explanations. Consequently, teachers struggle to support their students in…

  • Who Gives Feedback Matters

    Open Access•Tanya Nazaretsky, Paola Mejia‐Domenzain et al.•ARTICLE•Journal of Computer Assisted…•2026

Computer Science (2 works) · Educational Strategies and Epistemologies (2 works) · Mathematics education (2 works) · Psychology (2 works) · Cognitive science (1 work) · Corrective Feedback (1 work) · Educational technology (1 work) · Ethics and Social Impacts of AI (1 work) · Explainable Artificial Intelligence (XAI (1 work) · Formative assessment (1 work)

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