Use of Educational Resources and Academic Performance: Analysis and Comparison for the Degree on Engineering of Industrial Technologies

Abstract

User footprint left in Virtual Learning Environments (VLE) can be used to monitor the learning process, to reduce dropout rates by identifying risk cases, to ensure and improve quality, and could be precursor of the, so persecuted, adaptive or personalized learning. All of this has opened a new field of research in education called Learning Analytics (LA). The objective of the present work is to apply LA methodology for analyzing the behavior of students with regards to Moodle activities and resources with the final aim of improving learning outcomes. The data collected from the Moodle platform are analyzed in spreadsheets, without help of any specific tool, and compared for the last three academic years. Specifically, results of general activity, visualization of educational videos, parameters related to solve different questionnaires and use of other learning resources are here presented and discussed.

Keywords

• Moodle
• learning analytics
• high education innovation
• engineering education