Work

Analysis of students clustering results based on Moodle log data

Year: 2013

Type: conference-paper

Abstract: This paper describes a proposal of relevant clustering features and the results of experiments using them in the context of determining students' learning behaviors by mining Moodle log data. Our clustering experiments tried to show whether there is an overall ideal number of clusters and whether the clusters show mostly qualitative or quantitative differences. They were carried out using real data obtained from various courses dispensed by a partner institute using a Moodle platform. We have compared several classic clustering algorithms on several group of students using our defined features and analysed the meaning of the clusters they produced.

Source: Toulouse 1 Capitole Publications (Université Toulouse I Capitole)

Authors: Angela Bovo, Université Toulouse, Stéphane Sanchez, Olivier Héguy, Yves Duthen

Institutions: Institut de Recherche en Informatique de Toulouse, Université Toulouse-I-Capitole

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W4299317302

FWCI: 0.533

Cites:

Cited by: 8

Related to: 10