Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
A systematic review on machine learning models for online learning and examination systems
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
Predicting intentions of students for master programs using a chaos-induced sine cosine-based fuzzy K-nearest neighbor classifier
A Lin, Q Wu, AA Heidari, Y Xu, H Chen, W Geng… - Ieee …, 2019 - ieeexplore.ieee.org
One of the essential tasks for the planning and development of talents training programs in
different colleges of universities is to find how we can reasonably guide students to pursue a …
different colleges of universities is to find how we can reasonably guide students to pursue a …
An empirical assessment of smote variants techniques and interpretation methods in improving the accuracy and the interpretability of student performance models
Predicting student performance using educational data is a significant area of machine
learning research. However, class imbalance in datasets and the challenge of develo** …
learning research. However, class imbalance in datasets and the challenge of develo** …
Linear support vector machines for prediction of student performance in school‐based education
Educational Data Mining (EDM) is a rich research field in computer science. Tools and
techniques in EDM are useful to predict student performance which gives practitioners …
techniques in EDM are useful to predict student performance which gives practitioners …
A neuro-fuzzy model for predicting and analyzing student graduation performance in computing programs
Predicting student's successful completion of academic programs and the features that
influence their performance can have a significant effect on improving students' completion …
influence their performance can have a significant effect on improving students' completion …
Predicting students academic performance using an improved random forest classifier
S Jayaprakash, S Krishnan… - … conference on emerging …, 2020 - ieeexplore.ieee.org
Increasing demand in the education sector has paved the way to many research works
which highly focuses on the student's academic performance and their behaviour analysis …
which highly focuses on the student's academic performance and their behaviour analysis …
Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques
The prediction of student performance is one of the major issues in many higher education
institutions throughout the world. This issue is lately detected due to the lack of a proper …
institutions throughout the world. This issue is lately detected due to the lack of a proper …