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 …
Educational data mining techniques for student performance prediction: method review and comparison analysis
Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
Educational anomaly analytics: features, methods, and challenges
Anomalies in education affect the personal careers of students and universities' retention
rates. Understanding the laws behind educational anomalies promotes the development of …
rates. Understanding the laws behind educational anomalies promotes the development of …
A survey of machine learning approaches and techniques for student dropout prediction
School dropout is absenteeism from school for no good reason for a continuous number of
days. Addressing this challenge requires a thorough understanding of the underlying issues …
days. Addressing this challenge requires a thorough understanding of the underlying issues …
Exploring online activities to predict the final grade of student
Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …
offered at higher education institutions (HEIs). It allows students to make their plans to …
[PDF][PDF] A hybrid machine learning model for grade prediction in online engineering education
Imposed and exclusively online learning, caused by COVID-19, revealed research
challenges, eg curricula reformation and data collection. With this pool of data, this research …
challenges, eg curricula reformation and data collection. With this pool of data, this research …
Academic performance estimation with attention-based graph convolutional networks
Q Hu, H Rangwala - arXiv preprint arXiv:2001.00632, 2019 - arxiv.org
Student's academic performance prediction empowers educational technologies including
academic trajectory and degree planning, course recommender systems, early warning and …
academic trajectory and degree planning, course recommender systems, early warning and …
Reliable deep grade prediction with uncertainty estimation
Q Hu, H Rangwala - Proceedings of the 9th International Conference on …, 2019 - dl.acm.org
Currently, college-going students are taking longer to graduate than their parental
generations. Further, in the United States, the six-year graduation rate has been 59% for …
generations. Further, in the United States, the six-year graduation rate has been 59% for …
Towards the grade's prediction. a study of different machine learning approaches to predict grades from student interaction data
HAM Gerlache, PM Ger, L de la Fuente Valentín - IJIMAI, 2022 - dialnet.unirioja.es
There is currently an open problem within the field of Artificial Intelligence applied to the
educational field, which is the prediction of students' grades. This problem aims to predict …
educational field, which is the prediction of students' grades. This problem aims to predict …
Evaluation of grade prediction using model-based collaborative filtering methods
L Rechkoski, VV Ajanovski… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Estimating grades for courses that are yet to be enrolled by students can help them in
making decisions towards timely graduation and achieving better overall results. This paper …
making decisions towards timely graduation and achieving better overall results. This paper …