An Empirical Study on Student Evaluations of Teaching Based on Data Mining
Author:
Publisher
Modestum Publishing Ltd
Subject
Applied Mathematics,Education
Link
https://www.ejmste.com/download/an-empirical-study-on-student-evaluations-of-teaching-based-on-data-mining-4991.pdf
Reference13 articles.
1. Alhija, F. N.-A. (2016). Teaching in higher education: Good teaching through students’ lens. Studies in Educational Evaluation. doi:10.1016/j.stueduc.2016.10.006.
2. Appleton, J. J., Christenson, S. L., & Furlong, M. J. (2008). Student engagement with school: Critical conceptual and methodological issues of the construct. Psychology in the Schools, 45(5), 369-386. doi:10.1002/pits.20303.
3. Boring, A. (2017). Gender biases in student evaluations of teaching. Journal of Public Economics, 145, 27-41. doi:10.1016/j.jpubeco.2016.11.006.
4. Burden, P. (2008). Does the use of end of semester evaluation forms represent teachers’ views of teaching in a tertiary education context in Japan? Teaching and Teacher Education, 24(6), 1463-1475. doi:10.1016/j.tate.2007.11.012.
5. Burden, P. (2010). Creating confusion or creative evaluation? The use of student evaluation of teaching surveys in Japanese tertiary education. Educational Assessment, Evaluation and Accountability, 22(2), 97-117. doi:10.1007/s11092-010-9093-z.
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