Learning Log Explorer in E-Learning Diagnosis

Abstract

This study presents a learning behavior diagnosis system to study students' learning status from learning portfolios. The proposed linking layer enables the proposed system to work on various e-learning platforms without reprogramming. Additionally, the use of a supervisory agent enables teachers and students to obtain their learning status or information provided by the proposed system in both Web and e-mail. Furthermore, the computer engineering curriculum operating systems was adopted to evaluate the proposed system. Evaluations of confidence between learning status and learning achievement yield positive experimental results.