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 …
Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …
Deep learning models to predict vital academic outcomes based on different kinds and …
Artificial intelligence for assessment and feedback to enhance student success in higher education
The core focus of this review is to show how immediate and valid feedback, qualitative
assessment influence enhances students learning in a higher education environment. With …
assessment influence enhances students learning in a higher education environment. With …
An artificial intelligence approach to monitor student performance and devise preventive measures
A major problem an instructor experiences is the systematic monitoring of students'
academic progress in a course. The moment the students, with unsatisfactory academic …
academic progress in a course. The moment the students, with unsatisfactory academic …
Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: A meta-analysis of literature
Recently, machine learning (ML) has evolved and finds its application in higher education
(HE) for various data analysis. Studies have shown that such an emerging field in …
(HE) for various data analysis. Studies have shown that such an emerging field in …
Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
Abstract Machine Learning concept learns from experiences, inferences and conceives
complex queries. Machine learning techniques can be used to develop the educational …
complex queries. Machine learning techniques can be used to develop the educational …
Predicting student performance in a blended learning environment using learning management system interaction data
Purpose Student attritions in tertiary educational institutes may play a significant role to
achieve core values leading towards strategic mission and financial well-being. Analysis of …
achieve core values leading towards strategic mission and financial well-being. Analysis of …
Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models
Higher education institutions often struggle with increased dropout rates, academic
underachievement, and delayed graduations. One way in which these challenges can …
underachievement, and delayed graduations. One way in which these challenges can …
[HTML][HTML] Evaluation of postgraduate academic performance using artificial intelligence models
Institutions of higher learning are currently facing the challenging task of attracting new
students who can effectively meet their diverse academic demands. With these demands …
students who can effectively meet their diverse academic demands. With these demands …
Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system
Predicting students at risk of academic failure is valuable for higher education institutions to
improve student performance. During the pandemic, with the transition to compulsory …
improve student performance. During the pandemic, with the transition to compulsory …