Extending moodle grouping functionality using artificial intelligent techniques

Citation:
Maina EM, Oboko RO, Waiganjo PW. "Extending moodle grouping functionality using artificial intelligent techniques." AFRICON, 2017 IEEE. 2017:55-58.

Abstract:

Learning Management Systems such as Modular Object-Oriented Dynamic Learning
Environment (Moodle) only supports random group assignment or instructor based
assignment method. However, with the understanding that random assignment method only
increases the likelihood of heterogeneity in the group, while instructor based method
involves the instructors and it is not dynamic, there is need to develop a group formation
mechanism which can guarantee heterogeneity based on learner's collaboration
competence level, has dynamism in grouping students and has less instructor involvement.
In view of this, this paper discusses how to extend Moodle grouping functionality in
discussion forums using an intelligent grouping algorithm which has the capability to mine
discussion forum data in Moodle and cluster students to different clusters based

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