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Collaborative Learning

Learn how you can facilitate students to learn together and from each other, through reflection.

Why Collaborative Learning

Collaborative Learning (CL) has multiple positive effects for students, such as:

  • Development of relevant future (professional + sustainability) skills.
  • Supports student motivation.
  • Increases self-efficacy and self-esteem.
  • Encourages an inclusive mindset and builds understanding of diversity.
  • Improvement of students’ cognitive performance, meta-cognition, and critical thinking.

Collaborative Learning provides many opportunities for instructors too:

  • Larger, complex and more interesting projects could be completed by students when working collaboratively.
  • Your workload can be reduced by enabling students to resolve problems with and learn from each other
  • Allows you to be more inclusive of different learning styles and encourage participation.
  • Groupwork can address practical limitations such as lab equipment or grading capacity.

How to facilitate Collaborative Learning

There are multiple ways for you as an instructor to stimulate Collaborative Learning within your course(s), whether your course contains groupwork or not. You can find tips and strategies for your situation in the sections below.

Strategies for courses with groupwork

Working in a group does not simply lead to collaboration. It requires skills to work together and communicate with each other. The groupwork assignment itself should be designed in a way suitable for collaboration. The following sections provide tips for shaping assignments, orientation and keeping track of teamwork within courses.

As you may have experienced, students often encounter collaboration issues. Most common ones are:

  • Free riding: some students reduce their effort or hardly contribute at all during team assignments. This makes it difficult for you to ensure that all students have met the learning outcomes of the course and contributed to the project results.
  • The Sucker effect: This issue arises from free riding. Other students may feel that their efforts are leading to unfairness and that they are being taken advantage of by the free riders. As a result, these students reduce their effort. They might think, “I won’t put too much effort into the assignment because the grade will probably be around 6 or 7 anyway.”

Students may breakup the assignment into parts, assign each part to one another, and then briefly integrate prior to submission. The work then is not discussed or reviewed as a team and limited new knowledge is generated. The following outlines three important things to consider before, at the beginning, and throughout teamwork activities and assignments during the course to prevent common issues that arise during groupwork:

Strategies for courses without groupwork

How to get help

Please refer to the Study Climate website for more information, reach out to the educational advisors at your faculty or contact Teaching Support for 1-on-1 guidance.

Credits

This page was written by Annie Aggarwal, Greta Petkauskaitė and Katie Barry for the Study Climate project.

References

  • Hrastinski, S. (2008). What is online learner participation? A literature review. Computers and Education/Computers & Education, 51(4), 1755-1765. https://doi.org/10.1016/j.compedu.2008.05.005
  • Huang, Y., & Wu, T. (2010). A systematical approach for learner group composition by utilizing U-learning portfolio. IET International Conference on Frontier Computing. Theory, Technologies and Applications, 2010 P. 210 – 214. https://doi.org/10.1049/cp.2010.0563
  • Laal, M., & Ghodsi, S. M. (2012). Benefits of collaborative learning. Procedia: Social & Behavioral Sciences, 31, 486–490. https://doi.org/10.1016/j.sbspro.2011.12.091
  • Kumar, R. R. (2017). The effect of collaborative learning on enhancing student achievement: A meta-analysis (Doctoral dissertation, Concordia University).
  • Wang, X.-M., Hwang, G.-J., Liang, Z.-Y., & Wang, H.-Y. (2017). Enhancing Students’ Computer Programming Performances, Critical Thinking Awareness and Attitudes towards Programming: An Online Peer-Assessment Attempt. Journal of Educational Technology & Society, 20(4), 58–68. http://www.jstor.org/stable/26229205
  • Pirker, J., Riffnaller-Schiefer, M., & Gütl, C. (2014). Motivational active learning: engaging university students in computer science education. In Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education (Pp. 297-302). https://doi.org/10.1145/2591708.2591750
  • The tips on team assignments and tracking teamwork are based on the book “Hoe maak ik een toetsopdracht? / How to asses students through assignments” by Evelyn van de Veen.
  • Wang, Y., Li, H., Feng, Y., Jiang, Y., & Liu, Y. (2012). Assessment of programming language learning based on peer code review model: Implementation and experience report. Computers and Education/Computers & Education, 59(2), 412–422.
  • https://doi.org/10.1016/j.compedu.2012.01.007

Some of the tips on facilitating CL are based on:

Essential components of CL from:

  • Roger, T., & Johnson, D. W. (1994). An overview of cooperative learning. Creativity and collaborative learning, 14(2), 1-21.
  • Van Den Bergh, M. (2022). A community-based learning program to improve wellbeing and design student success. Proceedings of DRS. https://doi.org/10.21606/drs.2022.761