Work

Analysis Of Student Motivation Behavior On E-Learning Based On Association Rule Mining

Year: 2012

Type: article

Abstract: This research aims to create a model for analysis of student motivation behavior on e-Learning based on association rule mining techniques in case of the Information Technology for Communication and Learning Course at Suan Sunandha Rajabhat University. The model was created under association rules, one of the data mining techniques with minimum confidence. The results showed that the student motivation behavior model by using association rule technique can indicate the important variables that influence the student motivation behavior on e-Learning.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.1331360

Authors: Kunyanuth Kularbphettong, Phanu Waraporn, Cholticha Tongsiri

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: W1623824170

FWCI: 0.758

Cites:

Cited by: 6

Related to: 10