Online Collaborative Learning and the Enhancement of Most Essential Learning Competencies in General Mathematics among Grade Eleven Senior High School Students

Mark Vincent J. Medina¹, & Anna Liza P. Del Rosario^2*
¹Faculty of Mathematics, Tanauan City Integrated School, Philippines
²College of Teacher Education, Laguna State Polytechnic University, Philippines
DOI – http://doi.org/10.37502/IJSMR.2022.5306

Abstract

Making collaborative learning happen during a pandemic raised concerns and doubts among educators, given that learning during these trying times emphasized the importance of cooperating, corroborating, and interacting, particularly on subjects that were thought to be difficult, such as mathematics. The uncertainty stems from the question of how collaborative learning affects competency learning. Teaching students to acquire mathematical competencies is difficult in and of itself in a face-to-face setting; thus, peer-teaching and collaborative learning are always on the list to help below-average learners cope easily. This study determined the effect of online collaborative learning on the enhancement of most essential learning competencies (MELC) in General Mathematics. The study focused on thirty-five (35) respondents who were enrolled in online classes in the aforementioned subject during the academic year 2020-2021. The results revealed a significant difference between the pre-test and post-test scores, indicating that the OCL aided the students in mastering General Mathematics competencies. It was suggested that Mathematics Supervisors, Coordinators, Master Teachers, and Teachers propose in-service training or a learning action cell (LAC) that covers teaching and training of ways and means for teachers to make collaborative learning possible through the use of various modern-day applications such as Google Breakout Rooms, Open Broadcaster Software (OBS), and other platforms to ensure learners can still interact and learn with peers amid tumultuous times.

Keywords: Online Collaborative Learning, Most Essential Learning Competency, Peer-teaching, Modern-day Applications, Online Class.

References

Chiong, R., & Jovanovic, J. (2012). Collaborative Learning in Online Study Groups: An Evolutionary Game Theory Perspective. Journal of Information Technology Education: Research, 11(1), 81-101.
Delialioğlu, Ö. (2012). Student engagement in blended learning environments with lecture-based and problem-based instructional approaches. ournal of Educational Technology & Society, 15(3), 310-322.
Dimaunahan, J. M., & Panoy, J. F. (2021). Academic Motivation and Self-Efficacy in Technical Skills as Correlates to Academic Performance. International Journal of Educational Management and Development Studies, 2(4), 72-89.
Harasim, L. (2017). Learning theory and online technologies.
Hoy, W. K., & Adams, C. M. (2015). Quantitative research in education: A primer. Sage Publications.
Kumar, R. (2018). Research methodology: A step-by-step guide for beginners.
Kumi-Yeboah, A., Dogbey, J., & Yuan, G. (2017). Online collaborative learning activities: The perspectives of minority graduate students. Online Learning Journal, 24(4), 5-28.
Laal, M. (2011). Impact of Technology on lifelong learning. Procedia-Social and Behavioral Sciences, 28, 439-443.
Muuro, M., Wagacha, P., Oboko, R., & Kihoro, J. (2014). Students’ perceived challenges in an online collaborative learning environment: a case study in Kenya. International Review of Research in Open and Distance Learning, 15(6), 132-161.
Panergayo, A. A., & Aliazas, J. V. (2021). Students’ Behavioral Intention to Use Learning Management System: The Mediating Role of Perceived Usefulness and Ease of Use. International Journal of Information and Education Technology, 11(11), 538-545.
Reyes, A. R., & Aliazas, J. V. (2021). Online Integrative Teaching Strategies: Thematic and Focus Inquiry for Improved Science Process Skills. International Journal of Science, Technology, Engineering and Mathematics, 1(2), 19-38.
Robinson, O. C. (2014). Sampling in interview-based qualitative research: A theoretical and practical guide. Qualitative research in psychology, 11(1), 25-41.
Sanders, K., & Lokey-Vega, A. (2020). K-12 Community of Inquiry: A case study of the applicability of the Community of Inquiry framework in the K-12 learning environment. Journal of Online Learning Research, 6(1), 35-56.
Saqr, M., Fors, U., Tedre, M., & Nouri, J. (2018). How social network analysis can be used to monitor online collaborative learning and guide an informed intervention. PLoS One, 13(3).
Slof, B., van Leeuwen, A., Janssen, J., & Kirschner, P. A. (2021). Mine, ours, and yours: Whose engagement and prior knowledge affects individual achievement from online collaborative learning? ournal of Computer Assisted Learning, 37(1), 39-50.
Tan, T. A., & Vicente, A. J. (2019). An innovative experiential and collaborative learning approach to an undergraduate marketing management course: A case of the Philippines. The International Journal of Management Education, 17(3).
Wilson, M. L. (2010). Evaluating collaborative information-seeking interfaces with a search-oriented inspection method and re-framed information seeking theory. Information Processing & Management, 46(6), 718-732.
Zambrano, J., Kirschner, F., Sweller, J., & Kirschner, P. A. (2019). Effects of prior knowledge on collaborative and individual learning. Learning and Instruction, 6, 1-9.
Zhou, H., Ye, R., Sylvia, S., Rose, N., & Rozelle, S. (2020). At three years of age, we can see the future”: Cognitive skills and the life cycle of rural Chinese children. Demographic research, 43(7), 169.
Zhu, C. (2012). Student satisfaction, performance, and knowledge construction in online collaborative learning. Journal of Educational Technology & Society, 15(1), 127-136.