Predicting student outcomes in online courses using machine learning techniques: A review

A Alhothali, M Albsisi, H Assalahi, T Aldosemani - Sustainability, 2022 - mdpi.com
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 …

Bi-CLKT: Bi-graph contrastive learning based knowledge tracing

X Song, J Li, Q Lei, W Zhao, Y Chen, A Mian - Knowledge-Based Systems, 2022 - Elsevier
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 …

Artificial intelligence for assessment and feedback to enhance student success in higher education

M Hooda, C Rana, O Dahiya, A Rizwan… - Mathematical …, 2022 - Wiley Online Library
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 …

Contributions of machine learning models towards student academic performance prediction: a systematic review

P Balaji, S Alelyani, A Qahmash, M Mohana - Applied Sciences, 2021 - mdpi.com
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 …

Educational data mining to predict students' academic performance: A survey study

S Batool, J Rashid, MW Nisar, J Kim, HY Kwon… - Education and …, 2023 - Springer
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Toward predicting student's academic performance using artificial neural networks (ANNs)

Y Baashar, G Alkawsi, A Mustafa, AA Alkahtani… - Applied Sciences, 2022 - mdpi.com
Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …

Prediction of student academic performance using a hybrid 2D CNN model

S Poudyal, MJ Mohammadi-Aragh, JE Ball - Electronics, 2022 - mdpi.com
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 …

Tracking knowledge proficiency of students with calibrated Q-matrix

W Wang, H Ma, Y Zhao, Z Li, X He - Expert Systems with Applications, 2022 - Elsevier
With the emergence of intelligent educational systems, numerous research works are
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 …

Early prediction of student engagement in virtual learning environments using machine learning techniques

NS Raj, R VG - E-Learning and Digital Media, 2022 - journals.sagepub.com
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 …