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International Journal of Academic Research in Economics and Management Sciences

Open Access Journal

ISSN: 2226-3624

Optimizing Student Retention: Unveiling the Impact of Prompt Feedback and Lecturer Quality through Student Satisfaction

Zahir Osman, Raziana Che Aziz, Fatimah Yusoof, Aliza Ali

http://dx.doi.org/10.6007/IJAREMS/v13-i3/22815

Open access

This study investigates the crucial elements contributing to student retention in educational institutions, emphasizing the significant roles of prompt feedback and lecturers’ quality, with student satisfaction acting as a mediator. Student retention is a vital metric for academic institutions as it directly affects educational outcomes and financial stability. The study aims to explore how these factors influence retention, offering insights that could inform strategic improvements in teaching and feedback mechanisms. Data was collected through a structured survey distributed to students, using a purposive sampling method due to the absence of an exhaustive population list. A total of 433 valid responses were analyzed in the final assessment. The data analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM), which is critical for evaluating the relationships between variables and testing the study's hypotheses. The hypotheses testing results revealed that prompt feedback and high-quality lecturers significantly enhance student satisfaction. Satisfaction, in turn, strongly impacts retention, confirming its mediating role. Interestingly, the direct effect of prompt feedback on retention was not significant, emphasizing that satisfaction is a necessary pathway for influencing retention. For future studies, it is suggested that the impact of technological integration on feedback mechanisms and the potential moderating effects of student demographics be examined. Additionally, conducting longitudinal studies could shed light on the long-term implications of these factors on retention. The implications of this study underline the importance of focusing on student satisfaction as a core strategy to enhance retention.

Ashby, A. (2004) Monitoring student retention in the Open University: definition,
measurement, interpretation and action, Open Learning: The Journal of Open,
Distance and e-Learning, 19:1, 65-77, DOI: 10.1080/0268051042000177854
Al-Samarrai, S. (2022). The impact of online learning on higher education in the post-COVID-19 era. International Journal of Educational Development Using Information and Communication Technology, 17(2), 189-202.
Alsawaqfeh, N., & Lin, F. (2021). The relationship between student satisfaction and student retention in online learning environments: A meta-analysis review. Educational Technology Research and Development, 69(3), 825-842.
Aydin, H., & Kaya, A. (2021). The role of lecturer satisfaction and quality in predicting the academic success and retention rates of university students. Journal of Educational Research, 115(2), 163-174. https://doi.org/10.1080/00220671.2021.1879484
Bangert, A. W. (2004). The seven principles of good practice: A framework for evaluating
online teaching. The Internet and Higher Education, 7(3), 217–232.
Bates, T. (2019). Teaching in a digital age: Guidelines for designing teaching and learning. BCcampus Open Education.
Bernard, R. M., Abrahamson, L., McNair, L. D., Joyce, A. C., & Sanford, Z. L. (2020). The online learning environment and student engagement: A review of the literature. Journal of Online Learning Research, 6(3), 129-155.
Butt, S., Mahmood, A., & Saleem, S. (2022). The role of institutional factors and cognitive absorption on students’ satisfaction and performance in online learning during COVID 19. PLoS One, 17(6), e0269609.
Chen, X., & Yang, J. (2023). Reexamining the factors influencing student retention in online education: A structural equation modeling approach. Studies in Educational Evaluation, 88, 100922.
Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268.
Ekanem, I. E., & Igwe, E. U. (2020). Factors Influencing Students' Retention in Higher Education Institutions in Developing Countries: A Review of Literature. Journal of Educational Technology & Development Exchange (JETDE), 11(2), 22-35.
Fredricks, J. A., Hofkens, T., & Van Petegem, P. (2023). Student motivation and engagement in online learning environments: A meta-analysis. Review of Educational Research, 93(2), 313-348.
Gonzalez, G., & Lambert, S. (2022). Lecturer quality and its impact on student satisfaction and retention in higher education. International Journal of Educational Development, 84, 102-123. https://doi.org/10.1016/j.ijedudev.2021.102123
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand
Oaks, CA: SAGE.
Hair, J. F., M. Sarstedt, C.M. Ringle, and S. P. Gudergan. (2018). Advanced issues in partial
least squares structural equation modeling. Thousand Oakes, CA: Sage Publications
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3 ed.). Thousand Oaks, CA: Sage.

Harrison, C., & Weiner, L. (2023). Analyzing the mediating role of lecturer engagement on the relationship between job satisfaction and retention. Higher Education Research & Development, 42(1), 35-53. https://doi.org/10.1080/07294360.2022.2125484
Hassan, S., Shamsudin, M. F., Hasim, M. A., Mustapha, I., Buang, R. R., & Wahab, M. I. A. (2020). Empirical study on student satisfaction as mediator between service quality and student loyalty in tvet hlis. Journal of Critical Reviews, 7(8), 122-126.
Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling, Journal of the Academy of Marketing Science, 43(1): 115-135.
Jain, A., Sharma, P., & Meher, J. R. (2023). Effects of online platforms on learner's satisfaction: a serial mediation analysis with instructor presence and student engagement. The International Journal of Information and Learning Technology, 40(5), 453-466.
Jang, H., Kim, N., & Kim, Y. (2022). The effects of self-determination and self-efficacy on online learning engagement: A moderated mediation model. Sustainability, 14(11), 6949.
Kebah, M., Raju, V., & Osman, Z. (2019). Growth of online purchase in Saudi Arabia retail industry. International Journal of Recent Technology and Engineering, 8(3), 869-872.. ISSN: 2277-3878
Kebah, M., Raju, V., & Osman, Z. (2019). Online purchasing trend in the retail industry in Saudi. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 865-868. ISSN: 2277-3878
Kock, N., & Lynn, G.S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for
Information Systems, 13(7), 546-580.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach.
International Journal of e-Collaboration, 11(4), 1-10.
Lai, C., & Hwang, G. (2023). Examining the effects of online learning environment, self-determination, and self-efficacy on students' engagement in higher education. International Journal of Educational Technology in Higher Education, 20(1), 1-19.
Larson, J., & Richards, M. (2020). Institutional support, lecturer satisfaction, and the outcomes on retention in higher education. Journal of Higher Education Policy and Management, 42(6), 601-618. https://doi.org/10.1080/1360080X.2020.1791002
Leoparjo, F., Harianto, E., Mas’ud, R., Ilyas, G. B., & Hasanah, Y. N. (2023). Assessing The Effect of Learning Service Quality on Customer Retention Through Customer Satisfaction as Mediation Variable in The Culinary Study Program Bachelor Degree During The Covid-19 Pandemic.
Li, X. T., Rahman, A., Connie, G., & Osman, Z. (2020). Examining customers' perception of electronic shopping mall's e-service quality. International Journal of Services, Economics and Management, 11(4), 329-346.
Liengaard, B. D., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., &
Ringle, C. M. (2021). Prediction: Coveted, Yet Forsaken? Introducing a Cross-
validated Predictive Ability Test in Partial Least Squares Path Modeling. Decision Sciences, 52(2), 362-392.
McNair, T. L., & Kezar, A. (2023). The Long-Term Impacts of First-Year Seminar Programs on Student Satisfaction and Retention. Journal of Higher Education, 94(1), 98-127.

Memon, M. Q., Lu, Y., Memon, A. R., Memon, A., Munshi, P., & Shah, S. F. A. (2022). Does the impact of technology sustain students’ satisfaction, academic and functional performance: an analysis via interactive and self-regulated learning?. Sustainability, 14(12), 7226.
Moore, M. G., Dickson-Deane, C., & Gery, G. (2011). Distance education: Learning and teaching in a connected world. Cengage Learning.
Nash, K., & McKenzie, K. (2022). The effect of professional development on lecturer quality, job satisfaction, and retention. Teaching in Higher Education, 27(5), 581-596. https://doi.org/10.1080/13562517.2021.1954032
Osman, Z., Mohamad, W., Mohamad, R. K., Mohamad, L., & Sulaiman, T. F. T. (2018). Enhancing students’ academic performance in Malaysian online distance learning institutions. Asia Pacific Journal of Educators and Education, 33, 19-28.
Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: A third decade of research. Jossey-Bass.
Ringle, C.M., and M. Sarstedt. (2016). Gain more insight from your PLS-SEM results: The
importance-performance map analysis. Industrial Management & Data Systems. 116: 1865–1886.
Ringle, Christian M., Wende, Sven, & Becker, Jan-Michael. (2022). SmartPLS 4. Oststeinbek:
SmartPLS. Retrieved from https://www.smartpls.com
Rovai, A. P. (2022). Self-directed learning and academic success in online learning environments. International Journal of Self-Directed Learning, 17(1), 1-23.
Sharif Nia, H., Marôco, J., She, L., Khoshnavay Fomani, F., Rahmatpour, P., Stepanovic Ilic, I., ... & Reardon, J. (2023). Student satisfaction and academic efficacy during online learning with the mediating effect of student engagement: A multi-country study. Plos one, 18(10), e0285315.
Shmueli, G., S. Ray, J.M. Velasquez Estrada, and S.B. Chatla. (2016). The elephant in the
room: predictive performance of PLS models. Journal of Business Research, 69: 4552–4564.
Shmueli, G., M. Sarstedt, J.F. Hair, J.-H. Cheah, H. Ting, S. Vaithilingam, and C.M. Ringle.
(2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict.
European Journal of Marketing. 53: 2322–2347.
Turner, H., & Robinson, P. (2023). Exploring the link between lecturer satisfaction, teaching quality, and student retention in universities. Journal of Educational Administration and History, 55(2), 123-139. https://doi.org/10.1080/00220620.2022.2159021
Vansteenkiste, M., Ryan, R. M., & Deci, E. L. (2020). On the edges of self-determination in educational contexts: The interplay of autonomy, competence, and relatedness with engagement. Educational Psychologist, 55(2), 104-124.
Wang, Y., Hao, W., & Liu, X. (2020). The influence of perceived organizational support on job satisfaction and turnover intention among university employees in China. Educational Management Administration & Leadership, 48(3), 516-534.
Xu, D., & Jaggars, S. S. (2021). Examining the role of feedback in online courses: A multilevel analysis. Journal of Educational Psychology, 113(4), 882-897.

Osman, Z., Aziz, R. C., Yusoof, F., & Ali, A. (2024). Optimizing Student Retention: Unveiling the Impact of Prompt Feedback and Lecturer Quality through Student Satisfaction. International Journal of Academic Research in Economics and Management Sciences, 13(3), 763–776.