Title
Towards a Bio-inspired ACO Approach for Building Collaborative Learning Teams
Abstract
Collaborative learning is an educational method used by teachers to impact learning in a positive way and enhance the learners' performances. It can occur within a group of two or more students. Therefore, the learners' grouping is an essential task for establishing collaboration and cooperation among them to achieve a common goal. However, with the increasing number of students as well as their different settings (academic, cognitive, emotional, social, etc.), the students grouping task becomes harder and more complex to build a good collaborative learn- ing environment. Hence, several researchers proposed different approaches for obtaining approximate solutions to handle this diversity and take advantages from it. In this context, this paper presents a systematic literature review (SLR) to pinpoint the relevant research works that address the students grouping problem. We also we focus on the ACO bio-inspired approach to discuss its advantages and how students group formation can be initially constructed by ACO method. In accordance with this, we adapt and simulate an existing ACO algorithm with randomly generated data. The obtained results show an interesting starting point for further works in order to develop a new approach based on real educational data.
Year
DOI
Venue
2018
10.1109/ITHET.2018.8424779
2018 17th International Conference on Information Technology Based Higher Education and Training (ITHET)
Keywords
Field
DocType
Collaborative learning Teams (CLT),students’ group formation problem (SGFP),systematic literature review (SLR),ant colony optimization (ACO),cell formation/group technology,clustering
Collaborative learning,Systematic review,Computer science,Human–computer interaction,Cluster analysis,Cognition,Multimedia,Genetic algorithm
Conference
ISBN
Citations 
PageRank 
978-1-5386-4624-3
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Malak Chniter100.34
Abir Abid200.34
Ilhem Kallel3378.40