Predicting undergraduate student evaluations of teaching using probabilistic machine learning: The importance of motivational climate-Reference-Cited by-同舟云学术

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Predicting undergraduate student evaluations of teaching using probabilistic machine learning: The importance of motivational climate

Published:2024-06 Issue: Volume:81 Page:101353
ISSN:0191-491X
Container-title:Studies in Educational Evaluation
language:en
Short-container-title:Studies in Educational Evaluation

Author:

Jones Brett D.,Topuz Kazim,Sahbaz Sumeyra

Publisher

Elsevier BV

Reference70 articles.

1. Students' perceptions of course difficulty and their ratings of the instructor;Addison;College Student Journal,2006

2. The effects of professors’ race and clothing style on student evaluations;Aruguete;The Journal of Negro Education,2017

3. Self-efficacy: Toward a unifying theory of behavioral change;Bandura;Psychological Review,1977

4. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.

5. The effects of professors' race and gender on student evaluations and performance;Basow;College Student Journal,2013

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