Science and Technology Production
Congress
Authorship
Yannibelli, Virginia
;
AMANDI, ANALIA ADRIANA
Date
2012
Publishing House and Editing Place
Springer
Summary
Information provided by the agent in
SIGEVA
In this paper, we propose a memetic algorithm with the aim of assisting professors when forming collaborative learning teams in the context of software engineering courses. This algorithm designs different alternatives to divide a given number of students into teams and evaluates each alternative as regards one of the grouping criteria most analyzed and appropriate in the context of software engineering courses. This criterion is based on taking into account the team roles of the students and o...
In this paper, we propose a memetic algorithm with the aim of assisting professors when forming collaborative learning teams in the context of software engineering courses. This algorithm designs different alternatives to divide a given number of students into teams and evaluates each alternative as regards one of the grouping criteria most analyzed and appropriate in the context of software engineering courses. This criterion is based on taking into account the team roles of the students and on forming well-balanced teams according to the team roles of their members. To analyze the performance of the proposed algorithm, we report the computational experiments developed on eight different data sets. In this respect, the algorithm has obtained high-quality solutions for each one of the utilized data sets.
Show more
Show less
Key Words
LEARNING TEAM FORMATIONCOLLABORATIVE LEARNINGMEMETIC ALGORITHMSTEAM ROLES