A Systematic Review Regarding the Prediction of Academic Performance
Percy Edwin De la Cruz Vélez de Villa, Rommel Rojas-Coaquira, Hugo Vega-Huerta, José Pérez-Quintanilla, Manuel Lagos
Abstract
The prediction of students' academic performance is an area of great concern for universities and educational institutions since academic performance is one of the most important aspects of the learning process. To analyze this behavior, this study makes a critical analysis of the topic of interest and aims to review, analyze and summarize the latest research advances related to the prediction of academic performance. The systematic literature review method is applied to answer three questions: (1) What factors are determinants in predicting students' academic performance? ( and
Topics & Concepts
Computer scienceDropout (neural networks)Performance predictionAcademic achievementProcess (computing)Machine learningArtificial intelligenceEducational data miningSystematic reviewArtificial neural networkGuidelineMathematics educationData sciencePsychologyMEDLINESimulationPolitical sciencePathologyLawOperating systemMedicineOnline Learning and Analytics