HomePsychology and Education: A Multidisciplinary Journalvol. 34 no. 8 (2025)

Effectiveness of Computer-Supported Collaborative Learning Approach in Teaching Mathematics

Eddie Manzano | Marjorie Cancino

Discipline: Education

 

Abstract:

Technology has become an essential component of education in the digital age, disrupting conventional teaching techniques and transforming the nature of learning. While research exists on the connection between technology use and student engagement in mathematics classes, it remains unclear how certain forms of technology impact different aspects of engagement.The purpose of this study was to determine the effectiveness of the computer-supported collaborative learning approach in teaching mathematics. A quasi-experimental research design was utilized, with controlled and experimental groups assigned. The study revealed that pupils with pretest and posttest scores below 75 in mathematics did not show improvement in their understanding or skills, indicating that traditional teaching methods were ineffective. The results suggest the need for alternative teaching strategies that better engage students and support their learning. The study found that students taught using the demonstration method had a mean score of 9.27, while those taught using the computer-supported collaborative approach had a mean score of 15.40. The experimental group showed the highest mean scores in both the pretest and posttest, with a significant difference of p = .000. The computer-supported collaborative approach performed significantly better than the demonstration method, with a mean score of 18.49, nearly double that of the demonstration method mean score of 9.30. The study recommends that students actively engage in computer-supported collaborative learning activities, teachers integrate this approach into their teaching strategies, and school principals support its adoption within the curriculum.



References:

  1. Alabdulaziz, M. S. (2021). COVID-19 and the use of digital technology in mathematics education. Education and Information Technologies, 26(6), 7609-7633.
  2. Dashkina A, Kobicheva A, Lazovskaya T, Tokareva E, Tarkhov D & Guselnikova I. (2022). Examining the effectiveness of computer-supported collaborative learning for language proficiency purposes. Sustainability; 14(10):5908. https://doi.org/10.3390/su14105908
  3. Gerry, Stahl & Koschmann, T. & Suthers, Dan. (2014). Computer-supported collaborative learning.10.1017/CBO9781139519526.029.https://www.researchgate.net/publication/299001257_Computer-supported_collaborative_learning
  4. Hawlitschek, A., Berndt, S., & Schulz, S. (2022). Empirical research on pair programming in higher education: a literature review. Computer Science Education, 33, 400 - 428. https://doi.org/10.1080/08993408.2022.2039504.
  5. Herrera-Pavo, M. (2021). Collaborative learning for virtual higher education. Learning, Culture and Social Interaction, 28, 100437. https://doi.org/10.1016/J.LCSI.2020.100437.
  6. Kaput, J., Hegedus, S., & Lesh, R. (2020). Technology becoming infrastructural in mathematics education. In Foundations for the future in mathematics education (pp. 173-191). Routledge.
  7. Kong, L. (2021). Collaborative learning and academic performance in Lyceum of the Philippines University - Batangas City Senior High School. International Journal of Frontiers in Sociology. https://doi.org/10.25236/IJFS.2021.030212.
  8. Nguyen, T., Nguyen, M., & Tran, H. (2023). Artificial intelligent based teaching and learning approaches: A comprehensive review. International Journal of Evaluation and Research in Education (IJERE). https://doi.org/10.11591/ijere.v12i4.26623.
  9. Noroozi, O. (2020). Argumentation-based computer supported collaborative learning (abcscl): the role of instructional supports. , 5, 16-32. https://doi.org/10.46827/EJOE.V5I2.3279.
  10. Palanci, A., & Turan, Z. (2021). How Does the Use of the Augmented Reality Technology in Mathematics Education Affect Learning Processes?: A Systematic Review. International Journal of Curriculum and Instructional Studies, 11(1), 89-110.
  11. Price, P. C., Jhangiani, R. S., & Chiang, I. C. A. (2015). Quasi-experimental research. Research methods in psychology.
  12. Riga, A., Ioannidi, V., & Papayiannis, N. (2020). Computer supported collaborative learning in Greek inclusive secondary education. International Journal of Special Education and Information Technologies. https://doi.org/10.18844/jeset.v6i1.5365.
  13. Rovshenov, A., & Sarsar, F. (2023). Research trends in programming education: A systematic review of the articles published between 2012-2020. Journal of Educational Technology and Online Learning. https://doi.org/10.31681/jetol.1201010.
  14. Ross, A., & Willson, V. L. (2017). Paired samples T-test. Basic and advanced statistical tests: Writing results sections and creating tables and figures, 17-19.
  15. Silva, L., Mendes, A., & Gomes, A. (2020). Computer-supported collaborative learning in programming education: A systematic literature review. 2020 IEEE Global Engineering Education Conference (EDUCON), 1086-1095. https://doi.org/10.1109/EDUCON45650.2020.9125237.
  16. Silva, U., & Ferreira, D. (2021). Emotional aspects for productive dialogues in computer-supported collaborative learning: A systematic literature review. J. Univers. Comput. Sci., 27, 303-322. https://doi.org/10.3897/JUCS.66389.
  17. Sol, R., Santos, E., Reis, M., & Pereira, L. (2021). Computer supported collaborative learning for programming: A systematic review. , 184-191. https://doi.org/10.5220/0010407001840191.
  18. Strauss, S., & Rummel, N. (2020). Promoting interaction in online distance education: designing, implementing and supporting collaborative learning. , 121, 251-260. https://doi.org/10.1108/ils-04-2020-0090.
  19. Viberg, O., Grönlund, Å., & Andersson, A. (2023). Integrating digital technology in mathematics education: a Swedish case study. Interactive Learning Environments, 31(1), 232-243.
  20. Wagino, W., Maksum, H., Purwanto, W., Krismadinata, K., Suhendar, S., & Koto, R. (2023). Exploring the full potential of collaborative learning and e-learning environments in universities: A systematic review. TEM Journal. https://doi.org/10.18421/tem123-60.
  21. Zheng, L., Zhang, X., & Gyasi, J. (2019). A literature review of features and trends of technology-supported collaborative learning in informal learning settings from 2007 to 2018. Journal of Computers in Education, 6, 529 - 561. https://doi.org/10.1007/s40692-019-00148-2.