Abstract
The research area related to the use of Learning Analytics and the prediction of student performance is multidimensional; therefore, it can be explored and analyzed through different perspectives. This research addresses the relationship between pedagogical interventions based on Learning Analytics and student learning performance. The research problem of predicting student performance can be analyzed from various angles. This study presents an analysis based on the technique of Path Analysis (PA) and proposes a model based on the following variables: Mediation, Motivation, Communication, Learning Design, and Learning Performance. The study’s findings demonstrate the importance of the role of virtual tutors in carrying out pedagogical interventions thanks to the information retrieved from the Learning Analytics tools and its appropriate analysis.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
1 articles.
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1. Implementation of Learning Analytics in the University Classroom;Perspectives on Learning Analytics for Maximizing Student Outcomes;2023-10-24