Predicting Student Performance using Advanced Learning Analytics

Author(s):  
Ali Daud ◽  
Naif Radi Aljohani ◽  
Rabeeh Ayaz Abbasi ◽  
Miltiadis D. Lytras ◽  
Farhat Abbas ◽  
...  
2021 ◽  
Vol 11 (4) ◽  
pp. 1805
Author(s):  
Luis Magdiel Oliva-Córdova ◽  
Antonio Garcia-Cabot ◽  
Héctor R. Amado-Salvatierra

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.


2021 ◽  
Vol 9 (47) ◽  
pp. 11543-11551
Author(s):  
Uma Sharma ◽  
Suraksha Bansal

The academic performance of student is influenced by several factors. Studies have been conducted in the field of educational data mining to find out what all the factors are that have an effect on a student's academic performance. There are many factors that can have an effect on a student's academic success, but our study aims to find the main factors that can have an effect on a student's academic performance. Predicting student performance becomes more difficult due to the large volume of information in academic databases. The responsibility of the teacher increases, she must be attentive to the activities and behavior of the student. To facilitate the work of a teacher, this study attempted to identify some factors that affect the academic performance of students. Our study could bring benefits and impacts to students, educators/teachers, and tutoring institutions. The factors investigated in this study are: student base knowledge, socio-economic status, college/school environment, environment pollution, teachers’ support, parental/family support, friend circle and health.


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