Instructional Impact of Hybrid Learning in Mathematics
DOI:
https://doi.org/10.65339/ijsair.V2.I1.106Keywords:
academic performance, competency attainment, hybrid learning, instructional strategies, mathematics education, sustainability, technology-enhanced learningAbstract
This study examined the instructional impact of hybrid learning on the mathematics performance of graduating Bachelor of Science in Information Systems (BSIS) students at Talibon Polytechnic College. Guided by blended learning theory, constructivist learning theory, cognitive load theory, the Community of Inquiry framework, self-regulated learning theory, and transactional distance theory, the research explored how hybrid learning influences academic performance, competency attainment, instructional strategies, availability of learning materials, assessment practices, and institutional support. A convergent embedded quantitative research design integrating quantitative and qualitative approaches was employed. Data were collected using survey questionnaires adapted from Albert Lagrimas (2022), semi-structured interviews, and analysis of students’ academic records. Respondents included graduating BSIS students and a mathematics instructor who had experienced the hybrid learning system implemented at the institution. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were examined through thematic analysis and triangulation. Results indicated that students demonstrated stronger performance in Statistics and Quantitative Methods, while Mathematics II showed lower performance due to the complexity of conceptual topics and limited face-to-face interaction. Students generally reported very positive experiences with hybrid learning, particularly in competency attainment, availability of learning materials, instructional strategies, assessment practices, and institutional support. However, challenges were identified in student engagement during synchronous sessions, understanding complex online materials, timely feedback in assessments, and access to counseling support. Overall, the study concludes that hybrid learning can effectively support mathematics education when supported by appropriate instructional strategies, accessible learning resources, and comprehensive academic support systems. The findings are relevant to Sustainable Development Goal 4 (Quality Education) by promoting innovative teaching practices that improve access and quality in higher education, and SDG 9 (Industry, Innovation and Infrastructure) by encouraging the integration of digital technologies in education. The study contributes to educational and socio-technological sustainability by providing evidence-based insights for improving hybrid learning systems and strengthening institutional capacity for technology-enabled instruction in higher education.
References
Alammary, A. (2019). Blended learning models for introductory programming courses: A systematic review. PLOS ONE, 14(9), e0221765. https://doi.org/10.1371/journal.pone.0221765
Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human Relations, 45(7), 659–686.
Barbour, M. K., & Reeves, T. C. (2009). The reality of virtual schools: A report on the research and practice of K–12 virtual schooling in the United States. Computers & Education, 53(2), 163–171. https://doi.org/10.1016/j.compedu.2009.02.020
Becta. (2003). The impact of information and communication technologies on learning and teaching. Retrieved from https://www.becta.org.uk/
Bonk, C. J., & Cummings, J. A. (2006). A dozen recommendations for placing the student at the center of web-based learning. Educational Media International, 43(4), 219–234. https://doi.org/10.1080/09523980600944805
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Department of Education (DepEd). (2019). DepEd Order No. 21, s. 2019: Guidelines on the use of information and communications technology (ICT) in education. Retrieved from https://www.deped.gov.ph/
Garrison, D. R., & Vaughan, N. D. (2008). Blended learning in higher education: Framework, principles, and guidelines. Jossey-Bass.
Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2–3), 87–105.
Jackson, L. (2019). Hybrid learning: The future of education? Education Technology Solutions, 86, 24–27.
Kaufman, J. C., & Schunn, C. D. (2019). Peer feedback and the role of self-efficacy in educational settings: Predictors of engagement and success in peer review. Learning and Instruction, 61, 1–12. https://doi.org/10.1016/j.learninstruc.2018.11.001
Mheidly, N., Fares, M. Y., & Fares, J. (2020). Coping with stress and burnout associated with telecommunication and online learning. Frontiers in Public Health, 8, 574969. https://doi.org/10.3389/fpubh.2020.574969
Mouza, C., Yang, H., & Pan, Y. (2014). Examining the impact of a technology-infused teacher preparation program on pre-service teachers' technology integration skills. International Journal of Technology in Teaching and Learning, 10(1), 22–41.
Murphy, L., Smith, T., & Harris, J. (2020). Student perceptions of the transition to virtual classrooms during the COVID-19 pandemic: A mixed-methods study. Pedagogical Research, 5(4), em0078. https://doi.org/10.29333/pr/8477
Nguyen, T. M., Tran, N. Q., & Pham, H. T. (2020). The impact of COVID-19 on health-related quality of life in Vietnam. Journal of Public Health Research, 9(3), 123–134. https://doi.org/10.4081/jphr.2020.1920
Piaget, J. (1954). The construction of reality in the child. Basic Books.
Sweller, J. (1988). Cognitive load during problem-solving: Effects on learning. Cognitive Science, 12(2), 257–285.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Woolfolk, A. (2021). Educational psychology (14th ed.). Pearson.
Zhao, Y., Pugh, K., Sheldon, S., & Byers, J. (2002). Conditions for classroom technology innovations. Teachers College Record, 104(3), 482–515. https://doi.org/10.1111/1467-9620.00181
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70.
