[PDF][PDF] Exploring the transformative role of artificial intelligence and metaverse in education: A comprehensive review
Introduction: this review paper provides a comprehensive examination of the applications
and impact of artificial intelligence (AI) in the field of education. With advancements in AI …
and impact of artificial intelligence (AI) in the field of education. With advancements in AI …
A survey on graph counterfactual explanations: definitions, methods, evaluation, and research challenges
Graph Neural Networks (GNNs) perform well in community detection and molecule
classification. Counterfactual Explanations (CE) provide counter-examples to overcome the …
classification. Counterfactual Explanations (CE) provide counter-examples to overcome the …
A comparative study on student performance prediction using machine learning
Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …
technology, educational data increases sharply. It is difficult for educational researchers to …
A systematic review for MOOC dropout prediction from the perspective of machine learning
J Chen, B Fang, H Zhang, X Xue - Interactive Learning …, 2024 - Taylor & Francis
High dropout rate exists universally in massive open online courses (MOOCs) due to the
separation of teachers and learners in space and time. Dropout prediction using the …
separation of teachers and learners in space and time. Dropout prediction using the …
Predictive video analytics in online courses: A systematic literature review
The purpose of this study was to investigate the use of predictive video analytics in online
courses in the literature. A systematic literature review was performed based on a hybrid …
courses in the literature. A systematic literature review was performed based on a hybrid …
Personalized hybrid recommendation algorithm for MOOCs based on learners' dynamic preferences and multidimensional capabilities
B Wu, L Liu - Applied Sciences, 2023 - mdpi.com
In the MOOCs context, learners experience information overload. Thus, it is necessary to
improve personalized recommendation algorithms for learners. The current …
improve personalized recommendation algorithms for learners. The current …
The MOOC post-mortem: Bibliometric and systematic analyses of research on massive open online courses (MOOCs), 2009 to 2022
J Billsberry, I Alony - Journal of Management Education, 2024 - journals.sagepub.com
Massive open online courses (MOOCs) are online-based teaching programs designed to
accommodate thousands of students without charging any fees. They began appearing in …
accommodate thousands of students without charging any fees. They began appearing in …
Artificial intelligence in education: A science mapping approach
A Kaban - International Journal of Education in Mathematics …, 2023 - ijemst.org
While using artificial intelligence in education is a popular field of study for researchers, it
has become a joint application for educational institutions. Educational institutions are trying …
has become a joint application for educational institutions. Educational institutions are trying …
Predicting dropout in programming MOOCs through demographic insights
J Swacha, K Muszyńska - Electronics, 2023 - mdpi.com
Massive Open Online Courses (MOOCs) have gained widespread popularity for their
potential to offer education to an unlimited global audience. However, they also face a …
potential to offer education to an unlimited global audience. However, they also face a …
Optimised SMOTE-based Imbalanced Learning for Student Dropout Prediction
Student dropout is a common phenomenon that poses a challenge to most educational
institutions and policymakers around the world. In the education sector, the student dropout …
institutions and policymakers around the world. In the education sector, the student dropout …