Evaluating The Use Of Transactive Exchange To Form Effective Teams In A
Computer Science Course
We have designed an experiment to evaluate the efficacy of using collaborative
exchange as a mechanism to suggest effective teams in a computer science projectbased
Collaborative exchanges are used to calculate transactivity - the reasoning of one
utterance that operates on the reasoning of another , which is known to be linked to
effective learning in collaborative groups as it captures learners’ building off the
contributions of their learning partners [1, 2, 3].
In the cloud computing course, students complete ten individual projects and a 7-week
team project. At the end of each individual project, each student authors a short
reflection piece which other students then provide feedback on serving as a collaborative
A constraint satisfaction algorithm  globally maximizes the transactivity that was
observed in these exchanges to suggest team members. The effort is to evaluate
whether the suggested teams perform better than self-formed teams.
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 Wen, Miaomiao. Investigating virtual teams in massive open online courses:
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