Abstract
In today’s ICT-based learning environment, students are expected to evaluate the structure of their courses and associated teaching methods. The expectation is that these evaluations will provide valuable feedback to teaching staff. This quantitative study explores the impact of students’ evaluations of teaching (SETs) and is based on the students’ perceptions of course structure and teaching approaches. The SETs are carried out via an online survey and are used to inform future students about the course structure and teaching style based on teacher recommendations as made by the students. The study utilized institutional data related to SETs and teachers’ recommendations. The online survey was conducted by the Institutional Effectiveness Department (IED) of the university at twenty-six different campuses of Tecnologico de Monterrey in Mexico. The dataset contained a composite record of SET, and their recommendations of 5275 teachers and data were analyzed using a hierarchical regression method performed to identify the impact of SETs and to see how course structure and teaching approaches correlate with teacher recommendations. Empirical findings confirm that the control variables (gender, nationality, employment status, and academic qualifications) have a 0.6% variance in teacher recommendation with no major effects of teacher’s gender on their recommendations. The hierarchical regression results demonstrate that SETs based on course structure and teaching approaches have a positive significant association with the recommendations the students make of their teachers, where students recommend their teachers on the bases of course structure compared with the teaching approaches. The reason for preferring a course structure of offered courses in registered degree programs is important for the students to develop skills necessary for their future career.
Similar content being viewed by others
Data availability
The dataset used and analyzed during this study is available from the first author (Asad Abbas) on reasonable request.
References
Abbas, A., Arrona-Palacios, A., Haruna, H., & Alvarez-Sosa, D. (2020). Elements of students' expectation towards teacher-student research collaboration in higher education. In IEEE Frontiers in Education Conference (FIE). https://doi.org/10.1109/FIE44824.2020.9273902
Abbas, A., Fatima, A., Arrona-Palacios, A., Haruna, H., & Hosseini, S. (2021a). Research ethics dilemma in higher education: Impact of internet access, ethical controls, and teaching factors on student plagiarism. Education and Information Technologies, 26(5), 6109–6121. https://doi.org/10.1007/s10639-021-10595-z
Abbas, A., Hosseini, S., Martín Núñez, J. L., & Sastre-Merino, S. (2021b). Emerging technologies in education for innovative pedagogies and competency development. Australasian Journal of Educational Technology, 37(5), 1–5. https://doi.org/10.14742/ajet.7680
Arrona-Palacios, A., Okoye, K., Camacho-Zuñiga, C., Hammout, N., Luttmann-Nakamura, E., Hosseini, S., & Escamilla, J. (2020). Does professors' gender impact how students evaluate their teaching and the recommendations for the best professor? Heliyon, 6(10), e05313. https://doi.org/10.1016/j.heliyon.2020.e05313
Ayçiçek, B. (2021). Integration of critical thinking into curriculum: Perspectives of prospective teachers. Thinking Skills and Creativity, 41, 100895. https://doi.org/10.1016/j.tsc.2021.100895
Ballantyne, R., Borthwick, J., & Packer, J. (2000). Beyond student evaluation of teaching: Identifying and addressing academic staff development needs. Assessment & Evaluation in Higher Education, 25(3), 221–236. https://doi.org/10.1080/713611430
Benigno, V., & Trentin, G. (2000). The evaluation of online courses. Journal of Computer Assisted Learning, 16(3), 259–270. https://doi.org/10.1046/j.1365-2729.2000.00137.x
Berry, C., & Taylor, J. (2014). Internationalisation in higher education in Latin America: Policies and practice in Colombia and Mexico. Higher Education, 67(5), 585–601. https://doi.org/10.1007/s10734-013-9667-z
Boring, A. (2017). Gender biases in student evaluations of teaching. Journal of Public Economics, 145, 27–41. https://doi.org/10.1016/j.jpubeco.2016.11.006
Cakiroglu, U., Erdogdu, F., Kokoc, M., & Atabay, M. (2017). Students’ preferences in online assessment process: Influence on academic performances. Turkish Online Journal of Distance Education, 18(1), 132–142.
Campos-Garcia, I., & Zuniga-Vicente, J. A. (2020). The composition of teaching staff: What impact do the characteristics of high-school teachers have on academic performance? Revista de Educación, 387, 257–289. https://doi.org/10.4438/1988-592X-RE-2020-387-435
Caratozzolo, P., & Membrillo-Hernández, J. (2020). Evaluation of challenge based learning experiences in engineering programs: The case of the Tecnologico de Monterrey, Mexico. In M. E. Auer & D. Centea (Eds.), Visions and concepts for education 4.0. (Ed.), ICBL 2020. Advances in intelligent systems and computing (Vol. 1314). Springer. https://doi.org/10.1007/978-3-030-67209-6_45
Casero-Martínez, A. (2016). Deconstructing the notion of a “good teacher”. An analysis of the formal and non-formal characteristics of university teaching. RELIEVE-Revista Electrónica de Investigación y Evaluación Educativa, 22(2), 1–14. https://doi.org/10.7203/relieve.22.2.9419
Centra, J. A., & Gaubatz, N. B. (2000). Is there gender bias in student evaluations of teaching? Journal of Higher Education, 71(1), 17–33. https://doi.org/10.1080/00221546.2000.11780814
Ching, G. (2018). A literature review on the student evaluation of teaching: An examination of the search, experience, and credence qualities of SET. Higher Education Evaluation and Development, 12(2), 63–84. https://doi.org/10.1108/HEED-04-2018-0009
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/bf02310555
Cronbach, L. J. (1963). Course improvement through evaluation. Teachers College Record, 64(8), 1–13. https://doi.org/10.1177/016146816306400802
Deci, E. L., & Ryan, R. M. (1985). Self-determination and intrinsic motivation in human behavior. Phenum Press.
Dolenc, K., Šorgo, A., & Virtič, M. P. (2021). The difference in views of educators and students on forced online distance education can lead to unintentional side effects. Education and Information Technologies, 1-27. https://doi.org/10.1007/s10639-021-10558-4
Fatima, A., Abbas, A., Ming, W., Hosseini, S., & Zhu, D. (2019). Internal and external factors of plagiarism: Evidence from Chinese public sector universities. Accountability in Research, 26(1), 1–16. https://doi.org/10.1080/08989621.2018.1552834
Flegl, M., & Hlavatý, R. (2021). Understanding transitions in professors’ evaluation: The application of Markov chain. OPSEARCH, 59, 304–323. https://doi.org/10.1007/s12597-021-00542-4
Gacel-Ávila, J. (2005). Internationalization of higher education in Mexico. In Higher education in Latin America (pp. 239–279). World Bank.
Galván-Salinas, J. O., & Farías-Martínez, G. M. (2018). Características personales y práctica docente de profesores universitarios y su relación con la evaluación del desempeño. RIEE. Revista Iberoamericana de Evaluación Educativa, 11, 9–33. https://doi.org/10.15366/riee2018.11.2.001
Gazo, F. P., Ordóñez, L. J., Fonseca, T. M., Valls, F. R.-G., & Estrada, B. M. R. (2020). Reasons for course selection and academic satisfaction among Master’s degree students. Journal of Hispanic Higher Education, 1538192720954573. https://doi.org/10.1177/1538192720954573
Golding, C., & Adam, L. (2016). Evaluate to improve: Useful approaches to student evaluation. Assessment & Evaluation in Higher Education, 41(1), 1–14. https://doi.org/10.1080/02602938.2014.976810
Harrison, E. M. (2014). The faculty advisor evaluation questionnaire: Psychometric properties. Nursing Education Perspectives, 35(6), 380–386. https://doi.org/10.5480/12-916.1
Hernández, P. A. (2013). Factores que inciden en la evaluación del desempeño docente por los alumnos de nivel superior en la Universidad TecMilenio, campus Ciudad Juárez. Nóesis: revista de Ciencias Sociales y. Humanidades, 22(43), 190–244. https://doi.org/10.1016/j.jpubeco.2016.11.006
Holme, T. A. (2021). Can the cognitive processes of reading student evaluations influence their utility? Journal of Chemical Education, 98, 1829–1830. https://doi.org/10.1021/acs.jchemed.1c00565
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36.
Koehler, M., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70.
Konovalenko, T. V., Yivzhenko, Y. V., Demianenko, N. B., Romanyshyn, I. M., & Yemelyanova, Y. S. (2021). The possibilities of using distance learning in the professional training of a future foreign language teacher. Linguistics and Culture Review, 5(S2), 817–830. https://doi.org/10.37028/lingcure.v5nS2.1327
Milanowski, A. T., & Heneman, H. G. (2001). Assessment of teacher reactions to a standards-based teacher evaluation system: A pilot study. Journal of Personnel Evaluation in Education, 15(3), 193–212.
Montemayor-Gallegos, J. E. (2002). Confiabilidad y validez de la encuesta de opinión realizada a los alumnos para evaluar y retroalimentar el desempeño de los profesores del ITESM (Tesis). Instituto Tecnológico y de Estudios Superiores de Monterrey. https://repositorio.tec.mx/handle/11285/567554. Accessed 9 Jul 2021.
Nasser, F., & Fresko, B. (2002). Faculty views of student evaluation of college teaching. Assessment & Evaluation in Higher Education, 27(2), 187–198. https://doi.org/10.1080/02602930220128751
Naz, F., & Murad, H. S. (2019). Innovative teaching: An effective ingredient for educational change at university level. Pakistan Journal of Education, 36(2), 115–135.
Nwedu, C. N. (2018). End of course student evaluation. In A. I.-I. A. C. Nwajiuba (Ed.), Effective teaching and learning: A handbook for educators in Nigerian universities. FUNAI Press.
Okoye, K., Arrona-Palacios, A., Camacho-Zuñiga, C., Hammout, N., Nakamura, E. L., Escamilla, J., & Hosseini, S. (2020). Impact of students evaluation of teaching: A text analysis of the teachers qualities by gender. International Journal of Educational Technology in Higher Education, 17(49), 1–27. https://doi.org/10.1186/s41239-020-00224-z
Okoye, K., Arrona-Palacios, A., Camacho-Zuñiga, C., Achem, J. A. G., Escamilla, J., & Hosseini, S. (2021). Towards teaching analytics: A contextual model for analysis of students’ evaluation of teaching through text mining and machine learning classification. Education and Information Technologies, 27, 3891–3933. https://doi.org/10.1007/s10639-021-10751-5
Ortiz-Rodríguez, J., & Pillai, V. K. (2019). Advancing support for gender equality among women in Mexico: Significance of labor force participation. International Social Work, 62(1), 172–184. https://doi.org/10.1177/0020872817717323
Pounder, J. S. (2007). Is student evaluation of teaching worthwhile? An analytical framework for answering the question. Quality Assurance in Education, 15(2), 178–191. https://doi.org/10.1108/09684880710748938
Qaddumi, H., Bartram, B., & Qashmar, A. L. (2021). Evaluating the impact of ICT on teaching and learning: A study of Palestinian students’ and teachers’ perceptions. Education and Information Technologies, 26(2), 1865–1876. https://doi.org/10.1007/s10639-020-10339-5
Rincón, G. B., & Díaz-Domínguez, A. (2022). Assessing futures literacy as an academic competence for the deployment of foresight competencies. Futures, 135, 102872. https://doi.org/10.1016/j.futures.2021.102872
Roohr, K., Olivera-Aguilar, M., Ling, G., & Rikoon, S. (2019). A multi-level modeling approach to investigating students’ critical thinking at higher education institutions. Assessment & Evaluation in Higher Education, 44(6), 946–960. https://doi.org/10.1080/02602938.2018.1556776
Sánchez, T., Gilar-Corbi, R., Castejón, J.-L., Vidal, J., & León, J. (2020). Students’ evaluation of teaching and their academic achievement in a higher education institution of Ecuador. Frontiers in Psychology, 11, 233. https://doi.org/10.3389/fpsyg.2020.00233
Santos, J. M., & Castro, R. D. (2021). Technological pedagogical content knowledge (TPACK) in action: Application of learning in the classroom by pre-service teachers (PST). Social Sciences & Humanities Open, 3(1), 100110. https://doi.org/10.1016/j.ssaho.2021.100110
Saxena, C., Baber, H., & Kumar, P. (2021). Examining the moderating effect of perceived benefits of maintaining social distance on e-learning quality during COVID-19 pandemic. Journal of Educational Technology Systems, 49(4), 532–554. https://doi.org/10.1177/0047239520977798
Soto-Estrada, E., Wellens, A., & Gómez-Lizarazo, J. (2018). Student course evaluation: A process-based approach. Australasian Journal of Engineering Education, 23(2), 83–94. https://doi.org/10.1080/22054952.2018.1557099
Stalmeijer, R., Whittingham, J., de Grave, W., & Dolmans, D. (2016). Strengthening internal quality assurance processes: Facilitating student evaluation committees to contribute. Assessment & Evaluation in Higher Education, 41(1), 53–66. https://doi.org/10.1080/02602938.2014.976760
Steyn, C., Davies, C., & Sambo, A. (2019). Eliciting student feedback for course development: The application of a qualitative course evaluation tool among business research students. Assessment & Evaluation in Higher Education, 44(1), 11–24. https://doi.org/10.1080/02602938.2018.1466266
Tirado-Olivares, S., Cózar-Gutiérrez, R., García-Olivares, R., & González-Calero, J. A. (2021). Active learning in history teaching in higher education: The effect of inquiry-based learning and a student response system-based formative assessment in teacher training. Australasian Journal of Educational Technology, 37(5), 61–76. https://doi.org/10.14742/ajet.7087
Tran, T. T. T., & Do, T. X. (2020). Student evaluation of teaching: Do teacher age, seniority, gender, and qualification matter? Educational Studies, 1-28. https://doi.org/10.1080/03055698.2020.1771545
Waeytens, K., Lens, W., & Vandenberghe, R. (2002). Learning to learn': Teachers' conceptions of their supporting role. Learning and Instruction, 12(3), 305–322. https://doi.org/10.1016/S0959-4752(01)00024-X
Zakka, J. S. (2009). End of semester student evaluation of teaching effectiveness questionnaires: An indicator of teaching quality. Oxford Journal, 8(1), 233–246.
Acknowledgements
The authors would like to acknowledge the technical and financial support of Writing Lab, Institute for the Future of Education, Tecnologico de Monterrey, Mexico, in the production of this work.
Author information
Authors and Affiliations
Contributions
A. Abbas: Conception, literature review, research design, data curation, formal data analysis, writing – final draft, editing, revisions, and project administration.
H. Haruna: Literature review, validation, writing – review, comments, and editing.
A. Arrona-Palacios: Data curation, validation, writing – review and comments.
C. Camacho-Zuñiga: Data curation, writing – comments.
S. Núñez-Daruich: Data collection, validation, writing – comments.
J. F. Enríquez de la O: Data collection, validation, writing – comments.
R. Castaño-Gonzalez: Data collection, validation, writing – comments.
J. Escamilla: Writing – review and comments.
S. Hosseini: Conception, research design, validation, writing – review, comments, editing, and supervision.
All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
No conflict of interest to report.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Abbas, A., Haruna, H., Arrona-Palacios, A. et al. Students’ evaluations of teachers and recommendation based on course structure or teaching approaches: An empirical study based on the institutional dataset of student opinion survey. Educ Inf Technol 27, 12049–12064 (2022). https://doi.org/10.1007/s10639-022-11119-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10639-022-11119-z