A systematic literature review of student'performance prediction using machine learning techniques
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …
contributing state-of-the-art methods, techniques, and applications. The recent development …
A review of using machine learning approaches for precision education
In recent years, in the field of education, there has been a clear progressive trend toward
precision education. As a rapidly evolving AI technique, machine learning is viewed as an …
precision education. As a rapidly evolving AI technique, machine learning is viewed as an …
Student Engagement Predictions in an e‐Learning System and Their Impact on Student Course Assessment Scores
Several challenges are associated with e‐learning systems, the most significant of which is
the lack of student motivation in various course activities and for various course materials. In …
the lack of student motivation in various course activities and for various course materials. In …
Analyzing and predicting students' performance by means of machine learning: A review
JL Rastrollo-Guerrero, JA Gómez-Pulido… - Applied sciences, 2020 - mdpi.com
Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …
such as schools and universities, since it helps to design effective mechanisms that improve …
A systematic review: machine learning based recommendation systems for e-learning
SS Khanal, PWC Prasad, A Alsadoon… - Education and Information …, 2020 - Springer
The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …
difficult to locate specific information from data pools. Personalization systems attempt to …
Predicting at-risk students at different percentages of course length for early intervention using machine learning models
Online learning platforms such as Massive Open Online Course (MOOC), Virtual Learning
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …
Environments (VLEs), and Learning Management Systems (LMS) facilitate thousands or …
Enhancing the prediction of student performance based on the machine learning XGBoost algorithm
ABSTRACT Performance Factors Analysis (PFA) is considered one of the most important
Knowledge Tracing (KT) approaches used for constructing adaptive educational …
Knowledge Tracing (KT) approaches used for constructing adaptive educational …
Comparing different resampling methods in predicting students' performance using machine learning techniques
In today's world, due to the advancement of technology, predicting the students' performance
is among the most beneficial and essential research topics. Data Mining is extremely helpful …
is among the most beneficial and essential research topics. Data Mining is extremely helpful …
[HTML][HTML] A multi-perspective study on artificial intelligence in education: Grants, conferences, journals, software tools, institutions, and researchers
With the rapid development of artificial intelligence (AI) technologies and a continuously
growing interest in their application in educational contexts, there has been significant …
growing interest in their application in educational contexts, there has been significant …
Multiclass prediction model for student grade prediction using machine learning
Today, predictive analytics applications became an urgent desire in higher educational
institutions. Predictive analytics used advanced analytics that encompasses machine …
institutions. Predictive analytics used advanced analytics that encompasses machine …