Vol.8, No.2, May 2019.                                                                                                                                                                             ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Analysis of Students’ Preferences for Teachers Based on Performance Attributes in Higher Education

 

Mithula G P, Arokia Paul Rajan R

 

© 2019 Mithula G P, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 8, Issue 2, Pages 630-635, ISSN 2217-8309, DOI: 10.18421/TEM82-42, May 2019.

 

Received: 09 January 2019.
Accepted: 15 April 2019.
Published: 27 May 2019.

 

Abstract:

 

Faculty evaluation is widely used not only for the appraisal of their performance, but also for curriculum innovation and development. There are many techniques to perform faculty evaluation. But these techniques do not address all the factors essential for evaluating a faculty. These evaluations are subjective in nature and found to be controversial as students’ expectations vary. This hinders the main motive of faculty evaluation. To overcome this problem, there is a need to identify a suitable method to perform faculty evaluation. In this paper, the Conjoint Analysis, a mathematical statistics technique is used to analyze the major aspects that the students are expecting from their faculty. This technique increases the fairness in the appraisal process so that teaching can be made fun and effective. This research is a novel attempt that applies conjoint analysis to identify the major aspects of teaching in students’ perspective. The proposed idea can be adapted to any domain where the customers’ choice is valued particularly in Cloud computing services.

 

Keywords –Students Evaluation of Teaching (SET), Performance Attributes, Conjoint Analysis, Relative preference analysis, Part-worth utilities.

 

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