Predicting student performance using data mining and learning analytics techniques: A systematic literature review
A Namoun, A Alshanqiti - Applied Sciences, 2020 - mdpi.com
Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …
intelligent models and paradigms applied in education to predict the attainment of student …
Educational data mining and learning analytics for 21st century higher education: A review and synthesis
The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …
outcomes has been realized in higher education. Hence, a comprehensive review of …
Assessment and evaluation of different machine learning algorithms for predicting student performance
YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
Learner modelling: systematic review of the literature from the last 5 years
A Abyaa, M Khalidi Idrissi, S Bennani - Educational Technology Research …, 2019 - Springer
The field of adaptive e-learning is continuously developing. More research is being
conducted in this area as adaptive e-learning aims to provide learners with adaptive …
conducted in this area as adaptive e-learning aims to provide learners with adaptive …
The benefits of learning analytics to higher education institutions: A scoping review
Learning analytics is a form of data analysis that allows teachers, lecturers, educational
experts, and administrators of online learnings to look for students' online traces and …
experts, and administrators of online learnings to look for students' online traces and …
Predicting Academic Success in Large Online Courses at a Mega ODL University
Learning analytics offer unprecedented opportunities for tracking and storing learning
behaviors, thereby providing chances for optimizing learner engagement and success. The …
behaviors, thereby providing chances for optimizing learner engagement and success. The …
Study on Predicting University Student Performance Based on Course Correlation
W Ma, Y Yuan, J Feng - Journal of Education and Educational Research, 2023 - drpress.org
Performance prediction has proven to be an effective method for monitoring learning
progress, managing student performance, and enhancing teaching quality. In an effort to …
progress, managing student performance, and enhancing teaching quality. In an effort to …
Student Performance Monitoring System Using Artificial Intelligence Models
AGP Kujur, RK Tiwari, V Panday - … Trends in Artificial Intelligence and IoT, 2023 - Springer
With recent technological advancements, modern educational systems adopted efficient ICT
(Information and Communication Technologies) to enhance the quality of education. Higher …
(Information and Communication Technologies) to enhance the quality of education. Higher …
A University Student Dropout Detector based on Academic Data-A case study at FPT University
QH Ngô, NM Trịnh - 2023 - ds.libol.fpt.edu.vn
Dropout at university has become a controversial problem in recent years since the crisis
caused many severe consequences for students and universities. FPT University's (Hoa Lac …
caused many severe consequences for students and universities. FPT University's (Hoa Lac …
Examining Faculty Autonomous and Controlled Motivation for Learning Analytics
MJ Herbert - 2023 - search.proquest.com
Learning Analytics (LA) is the collection and analysis of data about learners and their
environments. University faculty are among some of the most important stakeholders in the …
environments. University faculty are among some of the most important stakeholders in the …