Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …
Deep learning models to predict vital academic outcomes based on different kinds and …
The End is the Beginning is the End: The closed-loop learning analytics framework
This article provides a comprehensive review of current practices and methodologies within
the field of learning analytics, structured around a dedicated closed-loop framework. This …
the field of learning analytics, structured around a dedicated closed-loop framework. This …
Predicting students' performance employing educational data mining techniques, machine learning, and learning analytics
A Alam, A Mohanty - International Conference on Communication …, 2022 - Springer
Student success is important in colleges and universities since it is often used as a measure
of the institution's effectiveness. Identifying at-risk students early on and implementing …
of the institution's effectiveness. Identifying at-risk students early on and implementing …
Improving Learning Outcomes through Predictive Analytics: Enhancing Teaching and Learning with Educational Data Mining
A Alam - 2023 7th International Conference on Intelligent …, 2023 - ieeexplore.ieee.org
Educational Data Mining (EDM) is a promising area of research that leverages
computational methods to improve educational outcomes by extracting valuable insights …
computational methods to improve educational outcomes by extracting valuable insights …
[HTML][HTML] Comparison of learning analytics and educational data mining: A topic modeling approach
Educational data mining and learning analytics, although experiencing an upsurge in
exploration and use, continue to elude precise definition; the two terms are often …
exploration and use, continue to elude precise definition; the two terms are often …
[PDF][PDF] What is learning analytics
Over the last ten years learning analytics (LA) has grown from a hypothetical future into a
concrete field of inquiry and a global community of researchers and practitioners. Although …
concrete field of inquiry and a global community of researchers and practitioners. Although …
A data-driven approach to improve customer churn prediction based on telecom customer segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
Dropout prediction in Moocs using deep learning and machine learning
The nature of teaching and learning has evolved over the years, especially as technology
has evolved. Innovative application of educational analytics has gained momentum. Indeed …
has evolved. Innovative application of educational analytics has gained momentum. Indeed …
The relationship between digital technologies and the circular economy: A systematic literature review and a research agenda
Digital technologies are widely recognised as crucial for promoting the circular economy in
industry. However, there still needs for clearer guidance for industrial practitioners on …
industry. However, there still needs for clearer guidance for industrial practitioners on …
Educational data mining: A bibliometric analysis of an emerging field
We are now able to collect enormous amounts of information at the learner level. Mining
educational data to provide data-driven analytics has spurred great interest among …
educational data to provide data-driven analytics has spurred great interest among …