A survey of machine learning for big code and naturalness
Research at the intersection of machine learning, programming languages, and software
engineering has recently taken important steps in proposing learnable probabilistic models …
engineering has recently taken important steps in proposing learnable probabilistic models …
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 …
Predicting academic performance of students from VLE big data using deep learning models
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …
learning platforms, provides opportunities to mine learning behavior of students, addressing …
Graph-based knowledge tracing: modeling student proficiency using graph neural network
Recent advancements in computer-assisted learning systems have caused an increase in
the research of knowledge tracing, wherein student performance on coursework exercises is …
the research of knowledge tracing, wherein student performance on coursework exercises is …
Deep knowledge tracing
Abstract Knowledge tracing, where a machine models the knowledge of a student as they
interact with coursework, is an established and significantly unsolved problem in computer …
interact with coursework, is an established and significantly unsolved problem in computer …
A systematic review of deep learning approaches to educational data mining
Educational Data Mining (EDM) is a research field that focuses on the application of data
mining, machine learning, and statistical methods to detect patterns in large collections of …
mining, machine learning, and statistical methods to detect patterns in large collections of …
Mining in educational data: review and future directions
SA Salloum, M Alshurideh, A Elnagar… - Proceedings of the …, 2020 - Springer
One of the developing fields of the present times is educational data mining that pertains to
developing methods that help in examining various kinds of data obtained from the …
developing methods that help in examining various kinds of data obtained from the …
Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms
Predicting student performance is crucial in higher education, as it facilitates course
selection and the development of appropriate future study plans. The process of supporting …
selection and the development of appropriate future study plans. The process of supporting …
SGKT: Session graph-based knowledge tracing for student performance prediction
Abstract Knowledge tracing is a modeling method of students' knowledge mastery. The deep
knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …
knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …
Early prediction of learners at risk in self-paced education: A neural network approach
To address the demands of modern education and increase flexibility, many higher
education institutions are considering self-paced education programs. However, student …
education institutions are considering self-paced education programs. However, student …