Analyzing and predicting students' performance by means of machine learning: A review

JL Rastrollo-Guerrero, JA Gómez-Pulido… - Applied sciences, 2020 - mdpi.com
… that influence academic performance was analyzed by an ANN, which efficiently grouped …
pGPA: A personalized grade prediction tool to aid student success. In Proceedings of the sixth …

Predicting student performance using data mining and learning analytics techniques: A systematic literature review

A Namoun, A Alshanqiti - Applied Sciences, 2020 - mdpi.com
student outcomes prediction using data mining and machine … its prediction model or understand
the factors influencing the … our analysis, irrespective of the form of the learning outcomes. …

Prediction of academic performance associated with internet usage behaviors using machine learning algorithms

X Xu, J Wang, H Peng, R Wu - Computers in Human Behavior, 2019 - Elsevier
… which has a civilizing influence on students' learning and living. … usage on academic
performance analysis and prediction has … as the academic achievement to test the predictive

Modelling, prediction and classification of student academic performance using artificial neural networks

ET Lau, L Sun, Q Yang - SN Applied Sciences, 2019 - Springer
analysis and neural network modelling/prediction of students… The academic achievement
of university students is the most … are performed based on supervised machine learning. The …

Predicting student performance in higher educational institutions using video learning analytics and data mining techniques

R Hasan, S Palaniappan, S Mahmood, A Abbas… - Applied Sciences, 2020 - mdpi.com
Student success is a key factor in improving academicPredictive analysis using PredictED
emails students about … of their final scores with the help of machine learning. These …

EMT: Ensemble meta‐based tree model for predicting student performance

A Almasri, E Celebi, RS Alkhawaldeh - Scientific Programming, 2019 - Wiley Online Library
analysis techniques, (ii) building and studying the performance of several classifiers from
different families of machine learning (ML… factors that influence the studentsachievement. Also, …

Utilizing early engagement and machine learning to predict student outcomes

CC Gray, D Perkins - Computers & Education, 2019 - Elsevier
… awarded, the student cannot do anything to influence them. This … and re-categorize the student
outcomes. However, it is still … Confusion Matrices are the tool for reporting summary output …

Factors affecting students' performance in higher education: a systematic review of predictive data mining techniques

A Abu Saa, M Al-Emran, K Shaalan - … , Knowledge and Learning, 2019 - Springer
… their difficulties in learning and improve their learning outcomes, … a summary of studies related
to EDM and identify the factors … In International conference on advanced machine learning

What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach

KF Hew, X Hu, C Qiao, Y Tang - Computers & Education, 2020 - Elsevier
influencing student achievement (and retention) and found … of learner achievement across
MOOCs, learner completion … identify the factors that can predict MOOC learner satisfaction and …

Predicting academic success in higher education: literature review and best practices

E Alyahyan, D Düştegör - … Journal of Educational Technology in Higher …, 2020 - Springer
… Lately, machine learning techniques have been extensively … After that, one can think about
the potential influential factors, … data in the analysis can yield below optimal prediction results, …