Evaluating the Impact of Blended Learning Models on Higher Education Outcomes: A Multidimensional Analysis

Oise Godfrey Perfectson (1) , Ejenarhome Otega Prosper (2) , Oyedotun Samuel Abiodun (1) , Onwuzo Chioma Julia (3)
(1) Department of Computing, Wellspring University, Edo State, Nigeria, Nigeria,
(2) Department of Computer Science, Delta State University, Delta State, Nigeria, Nigeria,
(3) Department of Computer Science, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria, Nigeria

Abstract

Blended learning (BL), which combines online digital tools with traditional face-to-face instruction, has gained increasing prominence in higher education, particularly since the COVID-19 pandemic. This study conducts a systematic review of 50 peer-reviewed empirical studies (2020–2024) to evaluate the impact of BL on academic performance, student engagement, and learner satisfaction. The results reveal that BL enhances learning outcomes when supported by responsive instruction, flexible access, and structured digital platforms, particularly in STEM disciplines. However, the effectiveness of BL is highly context-dependent. Disciplines relying on interpretive and dialogic learning, as well as under-resourced institutions, often experience minimal or negative effects, especially in asynchronous-heavy models. The review also identifies a decline in student engagement beyond the fourth week in flex-only formats, suggesting that synchronous interaction is critical for sustained motivation and retention. Key barriers to effective implementation include faculty workload, digital inequality, and institutional inertia. Addressing these challenges requires structured faculty development, investment in accessible technology, and alignment with discipline-specific pedagogy. This review affirms the pedagogical value of BL but emphasizes the need for inclusive, adaptive, and strategically supported approaches to ensure its sustainable integration across diverse educational settings.


 

Full text article

Generated from XML file

References

Ababneh, K. I., Ahmed, K., & Dedousis, E. (2022). Predictors of cheating in online exams among business students during the COVID pandemic: Testing the theory of planned behavior. The International Journal of Management Education, 20(3), 100713. https://doi.org/10.1016/j.ijme.2022.100713

Acosta-Gonzaga, E., & Ramirez-Arellano, A. (2021). The Influence of Motivation, Emotions, Cognition, and Metacognition on Students’ Learning Performance: A Comparative Study in Higher Education in Blended and Traditional Contexts. Sage Open, 11(2), 21582440211027561. https://doi.org/10.1177/21582440211027561

Albert, S., Fulton, D., Ramanau, R., & Janes, A. (2021). Exploring cross-disciplinary differences in course mode, instructional tools and teaching methods in online courses in business & management. The International Journal of Management Education, 19(3), 100532. https://doi.org/10.1016/j.ijme.2021.100532

Al-Qatawneh, S., Eltahir, Mohd. E., & Alsalhi, N. R. (2020). The effect of blended learning on the achievement of HDE students in the methods of teaching Arabic language course and their attitudes towards its use at Ajman University: A case study. Education and Information Technologies, 25(3), 2101–2127. https://doi.org/10.1007/s10639-019-10046-w

Anthony, B., Kamaludin, A., Romli, A., Raffei, A. F. M., Phon, D. N. A. L. E., Abdullah, A., & Ming, G. L. (2022). Blended Learning Adoption and Implementation in Higher Education: A Theoretical and Systematic Review. Technology, Knowledge and Learning, 27(2), 531–578. https://doi.org/10.1007/s10758-020-09477-z

Bokolo, A., Kamaludin, A., Romli, A., Mat Raffei, A. F., A/L Eh Phon, D. N., Abdullah, A., Leong Ming, G., A. Shukor, N., Shukri Nordin, M., & Baba, S. (2020). A managerial perspective on institutions’ administration readiness to diffuse blended learning in higher education: Concept and evidence. Journal of Research on Technology in Education, 52(1), 37–64. https://doi.org/10.1080/15391523.2019.1675203

Bozkurt, A. (2022). A Retro Perspective on Blended/Hybrid Learning: Systematic Review, Mapping and Visualization of the Scholarly Landscape. Journal of Interactive Media in Education, 2022(1), 2. https://doi.org/10.5334/jime.751

Cao, W. (2023). A meta-analysis of effects of blended learning on performance, attitude, achievement, and engagement across different countries. Frontiers in Psychology, 14, 1212056. https://doi.org/10.3389/fpsyg.2023.1212056

DeCoito, I., & Estaiteyeh, M. (2022). Transitioning to Online Teaching During the COVID-19 Pandemic: An Exploration of STEM Teachers’ Views, Successes, and Challenges. Journal of Science Education and Technology, 31(3), 340–356. https://doi.org/10.1007/s10956-022-09958-z

Decuypere, M., Grimaldi, E., & Landri, P. (2021). Introduction: Critical studies of digital education platforms. Critical Studies in Education, 62(1), 1–16. https://doi.org/10.1080/17508487.2020.1866050

Hassan Abuhassna, Nguyen Thuy Van, Noraffandy Yahaya, Megat Aman Zahiri Megat Zakaria, Fareed Awae, Diaya Ud Deen Al Zitawi, & Kawthar Bayoumi. (2022). Strategies for Successful Blended Learning—A Bibliometric Analysis and Reviews. International Journal of Interactive Mobile Technologies (iJIM), 16(13), 66–80. https://doi.org/10.3991/ijim.v16i13.30739

Imran, R., Fatima, A., Elbayoumi Salem, I., & Allil, K. (2023). Teaching and learning delivery modes in higher education: Looking back to move forward post-COVID-19 era. The International Journal of Management Education, 21(2), 100805. https://doi.org/10.1016/j.ijme.2023.100805

Konuralp, H., & Topping, K. J. (2023). Underlying Factors Influencing the Quality of Online EFL Teaching in Higher Education: An Iranian Case Study. Interchange, 54(3), 353–377. https://doi.org/10.1007/s10780-023-09499-3

Limniou, M., Sedghi, N., Kumari, D., & Drousiotis, E. (2022). Student Engagement, Learning Environments and the COVID-19 Pandemic: A Comparison between Psychology and Engineering Undergraduate Students in the UK. Education Sciences, 12(10), 671. https://doi.org/10.3390/educsci12100671

Lucas, M., & Vicente, P. N. (2023). A double-edged sword: Teachers’ perceptions of the benefits and challenges of online teaching and learning in higher education. Education and Information Technologies, 28(5), 5083–5103. https://doi.org/10.1007/s10639-022-11363-3

Megahed, N., & Ghoneim, E. (2022). Blended Learning: The New Normal for Post-COVID-19 Pedagogy. International Journal of Mobile and Blended Learning, 14(1), 1–16. https://doi.org/10.4018/IJMBL.291980

Platonova, R. I., Orekhovskaya, N. A., Dautova, S. B., Martynenko, E. V., Kryukova, N. I., & Demir, S. (2022). Blended Learning in Higher Education: Diversifying Models and Practical Recommendations for Researchers. Frontiers in Education, 7, 957199. https://doi.org/10.3389/feduc.2022.957199

Tong, D. H., Uyen, B. P., & Ngan, L. K. (2022). The effectiveness of blended learning on students’ academic achievement, self-study skills and learning attitudes: A quasi-experiment study in teaching the conventions for coordinates in the plane. Heliyon, 8(12), e12657. https://doi.org/10.1016/j.heliyon.2022.e12657

Vo, X. M., Do-Hong, C., Ha, T. M. T., & Vu, C. T. (2024). An Examination of Blended Learning in Higher Education Over a Two-Decade Period (2003-2022): Insights Derived From Scopus Database. European Journal of Educational Research, 13(4), 1821–1840. https://doi.org/10.12973/eu-jer.13.4.1821

Zitha, I., Mokganya, M. G., & Manyage, T. (2023). Integration of Blended Learning in the Advent of COVID-19: Online Learning Experiences of the Science Foundation Students. Education Sciences, 13(7), 704. https://doi.org/10.3390/educsci13070704

Authors

Oise Godfrey Perfectson
godfrey.oise@wellspringuniversity.edu.ng (Primary Contact)
Ejenarhome Otega Prosper
Oyedotun Samuel Abiodun
Onwuzo Chioma Julia

Article Details