Tanya Nazaretsky

British Journal of Educational Technology · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Tanya Nazaretsky trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sandy Kristin Piderit
  2. John D. Lee
  3. Ming Yin
  4. Katrina A. See
  5. Fred D. Davis
  6. René F. Kizilcec
  7. Paul Faulkner
  8. James C. West
  9. Jennifer Wortman Vaughan

Papers from Tanya Nazaretsky's perspective

Ordered by how strongly the researchers Tanya Nazaretsky trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Algorithm aversion: people erroneously avoid algorithms after seeing them err.
  2. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
  3. Understanding the Effect of Accuracy on Trust in Machine Learning Models (International Conference on Human Factors in Computing Systems)
  4. Trust in Automation: Designing for Appropriate Reliance
  5. 2020 Educause Horizon ReportTeaching and Learning Edition
  6. Medical Education Must Move From the Information Age to the Age of Artificial Intelligence (Academic medicine : journal of the Association of American Medical Colleges)
  7. Trust Theory: A Socio-Cognitive and Computational Model
  8. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies.
  9. Ethical and privacy principles for learning analytics (British Journal of Educational Technology)
  10. Rethinking Resistance and Recognizing Ambivalence: A Multidimensional View of Attitudes Toward an Organizational Change

Their papers