Predicting student outcomes in online courses using machine learning techniques: A review
Recent years have witnessed an increased interest in online education, both massive open
online courses (MOOCs) and small private online courses (SPOCs). This significant interest …
online courses (MOOCs) and small private online courses (SPOCs). This significant interest …
Bi-CLKT: Bi-graph contrastive learning based knowledge tracing
Abstract The goal of Knowledge Tracing (KT) is to estimate how well students have
mastered a concept based on their historical learning of related exercises. The benefit of …
mastered a concept based on their historical learning of related exercises. The benefit of …
Artificial intelligence for assessment and feedback to enhance student success in higher education
The core focus of this review is to show how immediate and valid feedback, qualitative
assessment influence enhances students learning in a higher education environment. With …
assessment influence enhances students learning in a higher education environment. With …
Contributions of machine learning models towards student academic performance prediction: a systematic review
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …
areas of research. In the field of education, both educational organizations and students are …
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 …
Toward predicting student's academic performance using artificial neural networks (ANNs)
Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …
new advancement of technologies in educational displacement has unlimited potentials …
Prediction of student academic performance using a hybrid 2D CNN model
Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …
learning are increasing. A multitude of data are being produced by institutional technology, e …
Tracking knowledge proficiency of students with calibrated Q-matrix
With the emergence of intelligent educational systems, numerous research works are
dedicated to Knowledge Tracing (KT), which refers to the issue of diagnosing students' …
dedicated to Knowledge Tracing (KT), which refers to the issue of diagnosing students' …
Calibrated q-matrix-enhanced deep knowledge tracing with relational attention mechanism
L Li, Z Wang - Applied Sciences, 2023 - mdpi.com
With the development of online educational platforms, numerous research works have
focused on the knowledge tracing task, which relates to the problem of diagnosing the …
focused on the knowledge tracing task, which relates to the problem of diagnosing the …
Early prediction of student engagement in virtual learning environments using machine learning techniques
Learning analytics aims at hel** the students to attain their learning goals. The predictions
in learning analytics are made to enhance the effectiveness of educational interferences …
in learning analytics are made to enhance the effectiveness of educational interferences …