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Student satisfaction survey: a key for quality improvement in the higher education institution

Author

Listed:
  • Anita Kanwar

    (Vivekanand Education Society’s College of Arts, Science and Commerce)

  • Meghana Sanjeeva

    (Vivekanand Education Society’s College of Arts, Science and Commerce)

Abstract

India has witnessed a rapid expansion in the higher education institutions and with this fast pace of growth day by day, competition has set in among the institutes. Before taking admission in an institution student assess the facilities and standard of the institution by referring to the website, other admission portals and by taking peer opinion and public perception. Educational institutions around the world are now requesting students’ feedback on all elements of academic life in the form of a satisfaction feedback questionnaire. The goal of this research is to describe the development and implementation of a survey to assess undergraduate and postgraduate student satisfaction. The Student Satisfaction Survey is a useful and effective instrument that tries to focus resources on areas, where there is low satisfaction but high importance. This paper gives detailed information about the methodology, calculation and outcome of the exercise utilizing Likert scale analysis. With the recent emerging trends, this innovative method offers flexibility to integrate more parameters, group certain parameters to get feedback on a particular issue and transmute the type of questions with changing environment and structure. The analysis is done using a statistical method. The survey result directly highlights the importance and flexibility of method to evaluate overall satisfaction, satisfaction cognate to a single parameter and satisfaction for questions grouped together underlining some paramount aspects of higher education.

Suggested Citation

  • Anita Kanwar & Meghana Sanjeeva, 2022. "Student satisfaction survey: a key for quality improvement in the higher education institution," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:spr:joiaen:v:11:y:2022:i:1:d:10.1186_s13731-022-00196-6
    DOI: 10.1186/s13731-022-00196-6
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    Cited by:

    1. Daniel T. L. Shek & Xiang Li & Lu Yu & Li Lin & Yikang Chen, 2022. "Evaluation of Electronic Service-Learning (e-Service-Learning) Projects in Mainland China under COVID-19," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(5), pages 3175-3198, October.
    2. Jingran Wang & Yi Liu & Peigong Li & Zhenxing Lin & Stavros Sindakis & Sakshi Aggarwal, 2024. "Overview of Data Quality: Examining the Dimensions, Antecedents, and Impacts of Data Quality," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1159-1178, March.

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