… for predictingstudentacademicperformance. Zaffar … predictionusingmachinelearning techniquesthrough a review of related research based on datasets, features used in ML methods…
… Predictive model developed usingsupervised data mining approach can derive conclusion on students' academicsuccess… in a similar way as machinelearning does. This means that if …
N Tomasevic, N Gvozdenovic, S Vranes - Computers & education, 2020 - Elsevier
… machinelearningtechniques was performed in the context of solving the task of student exam performanceprediction. … , the supervisedmachinelearningtechniques are considered as …
… prediction and classification of different types of educational data usingmachinelearning algorithms … brief introduction about considered machinelearningalgorithms and Section 3 …
S Hussain, MQ Khan - Annals of data science, 2023 - Springer
… forecasting StudentsPerformance Assessment; In … student marks and grade can be predicted, in educational data mining such framework recognized as studentperformanceprediction …
… performance of the resampling methods better in solving the imbalanced problem, this paper uses various machinelearning … In fact, the prediction of studentacademicperformance is …
X Xu, J Wang, H Peng, R Wu - Computers in Human Behavior, 2019 - Elsevier
… And then, we apply commonly used machinelearningalgorithms to verify the effectiveness of predictingacademicperformance from students' Internet usage data. The research …
… SVM algorithm is used in this research which is a technique of supervisedlearning. … 14] investigates studentsacademicperformancepredictionusing support vector machine. This study …
JL Rastrollo-Guerrero, JA Gómez-Pulido… - Applied sciences, 2020 - mdpi.com
… Validating the effectiveness of the moodle engagement analytics plugin to predictstudent academicperformance. In Proceedings of the 21st Americas Conference on Information …