ITiCSE 2015: Using Learning Analytics to Visualise Computer Science Teamwork

The CSER group has recently developed a teamwork analytics dashboard, designed to assist lecturers in understanding how online collaborations are working (or not!), and to help them identify discussions and teams that require assistance.

Recent work from this project, exploring the first use of the dashboard in a final year Computer Science course has been accepted for publication at ITiCSE 2015, building on work that we have undertaken applying qualitative research techniques to identify team roles and discussion sentiment. (You can read more about this here and here).

Industry has called upon academia to better prepare computer science graduates for teamwork, especially in developing the soft skills necessary for collaborative work. However, the teaching and assessment of teamwork is not easy, with instructors being pressed for time and a lack of tools available to efficiently analyse student teamwork.

We have developed a teamwork dashboard, founded on learning analytics, learning theory and teamwork models that analyses students’ online teamwork discussion data and visualises the team mood, role distribution and emotional climate. This tool allows educators to easily monitor student teams in real-time. Educators may use the tool to provide students with feedback about team interactions as well as to identify teams that are problematic. We present a case study trialing the dashboard on one university Computer Science course and include reflections from the course lecturer to determine its utility in monitoring online student teamwork.

H. Tarmazdi, R. Vivian, C. Szabo, K. Falkner and N. Falkner. Using Learning Analytics to Visualise Computer Science Teamwork. 20th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2014). (to appear).

This entry was posted in Active Learning, CS Analytics, Publications, Research, Software Engineering. Bookmark the permalink.

Comments are closed.