Determining Factors Influencing Faculty Feedback using Data Mining Technique
Monika Gupta Vashisht1, Ashima Kalra2, Bhawna3

1Dr. Monika Gupta Vashisht, Department of CBSA, Chandigarh Group of Colleges, Landran (Punjab), India.

2Dr. Bhawna, Department of  CEC, Chandigarh Group of Colleges, Landran (Punjab), India.

3Ms. Ashima Kalra, Department of CEC, Chandigarh Group of Colleges,  Landran (Punjab), India.

Manuscript received on 05 August 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 26 August 2019 | PP: 747-751 | Volume-8 Issue-9S August 2019 | Retrieval Number: I11210789S19/19©BEIESP | DOI: 10.35940/ijitee.I1121.0789S19

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Faculty is a major stakeholder in an education institute. Quality of faculty reflects the quality of youth, the future nation builders. Based on the vision of honorable management, an attempt has been made to gather the feedback of faculty reflecting their current state of work. Data have been collected initially via open-ended questionnaire. Faculties serving renowned institutes in the states of Punjab and Haryana have been approached to gather information. Attributes have been identified from the literature review and using an appropriate measurement scale. Only the willing respondents and their responses have been taken into consideration. The responses gathered using 5-point Likert-Scale was then factor analyzed. The attributes converged mainly on six dimensions- recognition, sense of belongingness, working environment, basic need fulfillment, self-respect, and contribution to society. These dimensions have been discussed keeping in view the current scenario in the education sector. The study also provides insights into future research.

Keywords: Faculty, Higher Education, Factor Analysis and Satisfaction.
Scope of the Article: Information Ecology and Knowledge Management