TY - JOUR
T1 - An enhanced genetic approach to composing cooperative learning groups for multiple grouping criteria
AU - Hwang, Gwo Jen
AU - Yin, Peng Yeng
AU - Hwang, Chi Wei
AU - Tsai, Chin Chung
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2008/1
Y1 - 2008/1
N2 - Cooperative learning is known to be an effective educational strategy in enhancing the learning performance of students. The goal of a cooperative learning group is to maximize all members' learning efficacy. This is accomplished via promoting each other's success, through assisting, sharing, mentoring, explaining, and encouragement. To achieve the goal of cooperative learning, it is very important to organize well-structured cooperative learning groups. In this study, an enhanced genetic algorithm is proposed to organize cooperative learning groups to meet multiple grouping criteria. To show the usefulness of the algorithm, this study presents a case that, for a given course, the teacher sets the criteria of grouping that each concept of a certain course topic is precisely understood by at least one of the peer students in each group, and the average learning achievement of each group is approximately identical. Based on our enhanced genetic algorithm, an assistant system for organizing cooperative learning groups has been developed. Experimental results have shown that the enhanced approach is able to efficiently organize cooperative learning groups that more fit the instructional objectives set by the instructor.
AB - Cooperative learning is known to be an effective educational strategy in enhancing the learning performance of students. The goal of a cooperative learning group is to maximize all members' learning efficacy. This is accomplished via promoting each other's success, through assisting, sharing, mentoring, explaining, and encouragement. To achieve the goal of cooperative learning, it is very important to organize well-structured cooperative learning groups. In this study, an enhanced genetic algorithm is proposed to organize cooperative learning groups to meet multiple grouping criteria. To show the usefulness of the algorithm, this study presents a case that, for a given course, the teacher sets the criteria of grouping that each concept of a certain course topic is precisely understood by at least one of the peer students in each group, and the average learning achievement of each group is approximately identical. Based on our enhanced genetic algorithm, an assistant system for organizing cooperative learning groups has been developed. Experimental results have shown that the enhanced approach is able to efficiently organize cooperative learning groups that more fit the instructional objectives set by the instructor.
KW - Cooperative learning
KW - Genetic algorithm
KW - Meta-heuristic algorithm
KW - Web-based learning
UR - http://www.scopus.com/inward/record.url?scp=54149109925&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=54149109925&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:54149109925
VL - 11
SP - 148
EP - 167
JO - Educational Technology and Society
JF - Educational Technology and Society
SN - 1436-4522
IS - 1
ER -