Computer-Supported Collaborative Learning (CSCL) is a dynamic educational approach that uses technology to support collaboration, shared knowledge construction, and real-world learning. Through CSCL, students work together using digital tools and online platforms to engage in collective problem-solving, pooled data analysis, collaborative resource development, and continuous formative assessment. Learning is driven by interaction, inquiry, and shared responsibility rather than individual knowledge acquisition alone.
In CSCL environments, students gather data from multiple sources, including class discussions, laboratory activities, real-world scenarios, and shared online workspaces. This information—along with peer dialogue and feedback—is pooled, organized, and analyzed using technology such as collaborative documents and spreadsheets. These processes help deepen understanding and improve learning outcomes.
Technology also supports the creation of models that help students analyze complex systems and make abstract concepts more concrete. These models—visual, digital, or physical—enable learners to apply knowledge to authentic contexts beyond the classroom, such as laboratory investigations or workplace scenarios. By emphasizing collaboration and real-world relevance, CSCL fosters a strong sense of learning community and shared meaning-making.
Overall, CSCL is a data-driven, collaborative, and technology-supported pedagogical framework that promotes deeper conceptual understanding, effective problem-solving skills, and shared knowledge creation. In SED652, students will design and implement three CSCL activities aligned with curricular content goals.
Develop three (3) multi-day CSCL learning segments in which meets the following criteria:
Create CSCL activity-1
Create CSCL activity-2
Create CSCL activity-3
On the final evening, we will be sharing our CSCL activities.
Vandergon, V., Herr, N.; Tippens, M.; Rivas, M.; d'Alessio, M., & Reveles, J. (2015). Collaborative data analysis. In Chao, L., Cloud-Based STEM Education for Improved Learning Outcomes to be published by IGI Global, Hershey, PA: IGI-Global Publishing.
Herr, N., Rivas, M., Chang, T., Tippens, M., Vandergon, V., d'Alessio, M., & Nguyen-Graff, D. (2015) .Continuous formative assessment (CFA) during blended and online instruction using cloud-based collaborative documents. In Koç, S., Wachira, P., & Liu, X. (Eds.), Assessment in Online and Blended Learning Environments. Charlotte, NC: Information Age Publishing