Team Progress Analyzer: An Innovative Dynamic Visualization Tool for Evaluating People Working on a Homework Group Project (66024)

Session Information: Design, Implementation & Assessment of Innovative Technologies in Education
Session Chair: Kurt Thumlert

Friday, January 6, 2023 (14:45)
Session: Session 4
Room: 322A
Presentation Type:Oral Presentation

All presentation times are UTC-10 (Pacific/Honolulu)

Many computer programming courses treat a finished program as the only artifact that students must turn in. This can lead to the false belief that the important thing is the product and not the process that must be followed to obtain that product. In software engineering courses, students are expected to learn how to develop software as a team rather than individually. To evaluate the performance of the team and each of its members, we created an innovative computer tool (Team Progress Analyzer (TPA)) that allows us to visualize, in a very attractive way, individual behavior in terms of participation, leadership, organizational skills and team's procrastination rate. We propose the use of a social network (WhatsApp, Telegram, etc.) as the communication platform between members of a homework software development team. The output of such application is the input for TPA. This study is conducted in a software engineering course of a public university; twenty-five students are enrolled in the course. Students must participate in teams in two programming projects. At the end of the first project, students are asked to evaluate their peers, and these results are compared with those obtained using TPA. In this way, the students know the tool capabilities and proceed to carry out the second project. The second project is developed by the same teams and their behavior is analyzed again. The study results show a significant improvement in student participation and a reduction in their procrastination rate.
Current tool: (https://infocomp.ingenieria.uaslp.mx/pw2021/)

Authors:
Hector G. Perez-Gonzalez, Universidad Autonoma de San Luis Potosi, Mexico
David A. Garza Medina, LeanData.io, Australia
Francisco E. Martinez-Perez, Universidad Autonoma de San Luis Potosi, Mexico
Raymundo Antonio González Grimaldo, Universidad Autonoma de San Luis Potosi, Mexico


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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00