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The Impact of Student Evaluation of Teaching Staff on Enhancing the Quality of Teaching in Higher Education in Romania

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  • Oana Mariana Ciuchi

    (Department of Training for Teaching Career and Socio-Humanities Sciences, National University of Science and Technology Politehnica Bucharest, Splaiul Independenceei no. 313, 060042 Bucharest, Romania)

  • Laura Emilia Șerbănescu

    (Department of Training for Teaching Career and Socio-Humanities Sciences, National University of Science and Technology Politehnica Bucharest, Splaiul Independenceei no. 313, 060042 Bucharest, Romania)

  • Ciprian Mihai Dobre

    (Faculty of Automation and Computers, National University of Science and Technology Politehnica Bucharest, Splaiul Independenceei no. 313, 060042 Bucharest, Romania)

  • Bogdan Gabriel Georgescu

    (Faculty of Automation and Computers, National University of Science and Technology Politehnica Bucharest, Splaiul Independenceei no. 313, 060042 Bucharest, Romania)

  • Bogdan Dumitru Țigănoaia

    (Faculty of Entrepreneurship, Management and Business Engineering, National University of Science and Technology Politehnica Bucharest, Splaiul Independenceei no. 313, 060042 Bucharest, Romania)

  • Petrișor Laurențiu Țucă

    (Faculty of Entrepreneurship, Management and Business Engineering, National University of Science and Technology Politehnica Bucharest, Splaiul Independenceei no. 313, 060042 Bucharest, Romania)

Abstract

This paper presents the methodological approach adopted by a team of researchers from the Politehnica Bucharest National University of Science and Technology (UNSTPB) to revise and reconstruct the Feedback Form used in the university’s teaching staff evaluation process. (1) Background: Because of the imperative need to involve students, as active actors in the academic community, in this process, a Questionnaire on the identification of the students’ perception regarding the Feedback Form used by the institution was prepared and distributed online to 559 students enrolled in bachelor’s/master’s/doctoral programs in our higher education institution; (2) Methods: Taking into account the legal provisions in force, the scientific guidelines in the literature, and the recommendations/suggestions and observations made by our students, two instruments were developed for the evaluation of the teaching staff, i.e., the Feedback Questionnaire for students enrolled in bachelor’s/master’s degree programs and the Feedback Questionnaire for students enrolled in doctoral programs. By creating this tool to assess the university’s social reality, we aimed to identify the strengths/weaknesses of the Feedback Form used until this study was conducted; (3) Results: Centralizing and interpreting the data collected allowed us to gather complex and detailed insights on the way in which the beneficiaries of the educational services provided by the university want the feedback they provide to be formulated, collected, and interpreted, as well as a set of explicit student recommendations in this regard; (4) Conclusions: the need to start an ample revision process on the feedback questionnaire used to conduct the university’s teaching staff performance evaluation, based on the students’ unequivocal involvement, was justified by these fundamental premises.

Suggested Citation

  • Oana Mariana Ciuchi & Laura Emilia Șerbănescu & Ciprian Mihai Dobre & Bogdan Gabriel Georgescu & Bogdan Dumitru Țigănoaia & Petrișor Laurențiu Țucă, 2024. "The Impact of Student Evaluation of Teaching Staff on Enhancing the Quality of Teaching in Higher Education in Romania," Sustainability, MDPI, vol. 16(23), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10196-:d:1526352
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    References listed on IDEAS

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    1. Sandra Saúde & João Paulo Barros & Inês Almeida, 2024. "Impacts of Generative Artificial Intelligence in Higher Education: Research Trends and Students’ Perceptions," Social Sciences, MDPI, vol. 13(8), pages 1-19, August.
    2. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    3. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial Intelligence and the Transformation of Higher Education Institutions: A Systems Approach," Sustainability, MDPI, vol. 16(14), pages 1-21, July.
    4. Ana Remesal & Elena Cano & Laia Lluch, 2024. "Faculty and Students’ Perceptions about Assessment in Blended Learning during Pandemics: The Case of the University of Barcelona," Sustainability, MDPI, vol. 16(15), pages 1-18, August.
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