[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …
Some difficulties confronting most schools are delivering high-quality education to the …
Student retention using educational data mining and predictive analytics: a systematic literature review
Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …
rates, which are accumulated as students re-enroll from one academic year to the next. High …
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 …
Classification technique and its combination with clustering and association rule mining in educational data mining—A survey
SM Dol, PM Jawandhiya - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …
EDM is used to classify, analyze, and predict the students' academic performance, and …
Prediction of student academic performance using a hybrid 2D CNN model
Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …
learning are increasing. A multitude of data are being produced by institutional technology, e …
[HTML][HTML] Analyzing students' academic performance using educational data mining
Abstract Educational Data Mining (EDM) is the process of extracting useful information and
knowledge from educational data. EDM identifies patterns and trends from educational data …
knowledge from educational data. EDM identifies patterns and trends from educational data …
[PDF][PDF] Data mining methods for detecting the most significant factors affecting students' performance
The field of using Data Mining (DM) techniques in educational environments is typically
identified as Educational Data Mining (EDM). EDM is rapidly becoming an important field of …
identified as Educational Data Mining (EDM). EDM is rapidly becoming an important field of …
Predicting university's students performance based on machine learning techniques
DM Ahmed, AM Abdulazeez… - … on Automatic Control …, 2021 - ieeexplore.ieee.org
Machine learning algorithms have been used in many fields, like economics, medicine, etc.
Education data mining is one of the areas concerned with exploring patterns of data in an …
Education data mining is one of the areas concerned with exploring patterns of data in an …
[PDF][PDF] A Conceptual Framework to Aid Attribute Selection in Machine Learning Student Performance Prediction Models.
One of the key applications of Learning Analytics is offering an opportunity to the institutions
to track the students' academic activities and provide them with real-time adaptive …
to track the students' academic activities and provide them with real-time adaptive …
[HTML][HTML] Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods
LE Contreas-Bravo, N Nieves-Pimiento… - Ingeniería, 2023 - scielo.org.co
Context: In the education sector, variables have been identified which considerably affect
students' academic performance. In the last decade, research has been carried out from …
students' academic performance. In the last decade, research has been carried out from …