scholarly journals Non-modifiable Factors and Student Evaluation of Faculty Teaching Quality: An Examination of the Correlations

2019 ◽  
Vol 7 (12) ◽  
pp. 2627-2633
Author(s):  
Neal Luo ◽  
Daniel Stiffler
2001 ◽  
Vol 24 (1) ◽  
pp. 53-60 ◽  
Author(s):  
Brent C. Williams ◽  
Matthew S. Pillsbury ◽  
David T. Stern ◽  
Cyril M. Grum

2006 ◽  
Vol 2 (2) ◽  
pp. 121-123 ◽  
Author(s):  
Tadashi Gotoh ◽  
Tomoko Ishikawa ◽  
Shanshun Luo ◽  
Miki Mori ◽  
Takami Takizawa ◽  
...  

Author(s):  
Gregory P. Trudeau ◽  
Kathleen J. Barnes

New faculty have an inordinate amount of resources, financial and other, invested in their doctoral degrees. Yet, the first few years can be overwhelming adapting to the plethora of academic life demands. One area of concern that all new faculty deal with is attempting to decode the various stakeholder groups (i.e., students, colleagues, personnel committee, administration, community and industry members, respective profession colleagues) expectations of the new faculty member and reconciling those with their own personal goals and aspirations. Knowing what each group considers important and highlighting similarities or differences allows new faculty to address stakeholder expectations to better position themselves for a successful and fulfilling career.This paper derives from a study that looked at the two groups (i.e., students and department colleagues) expectations who most closely affect the daily life of the new faculty member. Study respondents were ask to identify which teaching dimension each group valued most from a list of thirteen questions used by students in evaluating faculty members classroom performance. Students and faculty members concurred in their clear preference for the instructor knowing the material being presented and the instructor explaining the material in a clear and understandable manner, but differed in their view of the least important teaching dimension depicting a faculty members classroom performance. The faculty members surveyed concurred with the student ranking that the instructor increasing the students interest in the subject matter was the second least important teaching dimension depicting a faculty members classroom performance. This teaching dimension was only superceded by the faculty ranking that the amount of work required being appropriate for the number of credits offered and the student ranking that the instructor stimulating questions was the least important teaching dimension depicting a faculty members classroom performance.


2021 ◽  
Vol 336 ◽  
pp. 05016
Author(s):  
Zhan Gao ◽  
Zhihai Suo ◽  
Jun Liu ◽  
Mo Xu ◽  
Dandan Hong ◽  
...  

Students' evaluation of teaching is a key link to realize teaching quality monitoring and promote teachers' teaching level. Based on the practice of student evaluation in our university, this paper constructs a multi-level student evaluation system, and develops an online student evaluation system by using JFinal+webix integration framework. The new Internet plus evaluation model is established to improve the efficiency of student evaluation and the enthusiasm of students to evaluate teaching. Meanwhile, based on the analysis of students' comments on teaching by Baidu AI platform, It provides data support for the improvement of learning level and the optimization of teaching evaluation.


1997 ◽  
Vol 5 ◽  
pp. 8 ◽  
Author(s):  
Jeffrey E. Stake

Haskell (1997) argued that the administrative practice of student evaluation of faculty is a threat to academic freedom. However, before that claim can be substantiated, several prior questions must be addressed: To whom does academic freedom belong? Individual faculty? The academy? Whose actions can violate the right? Can any lines be drawn based on whether the substance or form of classroom behavior is influenced? And still another crucial point is whether a body can violate academic freedom without any intent to interfere with or control the substance of what is said to students.


Author(s):  
Albert Akyeampong ◽  
Teresa Franklin ◽  
Jared Keengwe

This study explored one primary question: To what extent do student perceptions of various forms of instructional technology tools predict instructional quality? Participants for the study were drawn from a teacher education program in a large Midwest public university. Data were collected using a web-based survey with a total of 121 responses used in the final analysis. A multiple regression analysis was conducted to evaluate how well Productivity Tools, Presentation Tools, Communication Tools, and World Wide Web Tools predict Student Evaluation of Faculty Instructional Quality. The overall significant results of the regression model and the subsequent significant results of the t-test for Presentation Tools and Productivity Tools is an indication that Presentation and Productivity tools can be used by faculty to facilitate student and faculty interaction, promote cooperation among students, promote active learning techniques, give prompt feedback, emphasize time on task, communicate high expectation and respect diverse talents and ways of learning.


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