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A survey of machine learning approaches for student dropout prediction in online courses
The recent diffusion of online education (both MOOCs and e-courses) has led to an
increased economic and scientific interest in e-learning environments. As widely …
increased economic and scientific interest in e-learning environments. As widely …
DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era
Abstract Coronavirus (Covid-19) pandemic has imposed a complete shut-down of face-to-
face teaching to universities and schools, forcing a crash course for online learning plans …
face teaching to universities and schools, forcing a crash course for online learning plans …
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models
Abstract Corona Virus Disease 2019 (COVID-19) pandemic has increased the importance of
Virtual Learning Environments (VLEs) instigating students to study from their homes. Every …
Virtual Learning Environments (VLEs) instigating students to study from their homes. Every …
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 …
Analysis of the factors influencing learners' performance prediction with learning analytics
The advancement of learning analytics has enabled the development of predictive models to
forecast learners' behaviors and outcomes (eg, performance). However, many of these …
forecast learners' behaviors and outcomes (eg, performance). However, many of these …
Is college students' trajectory associated with academic performance?
Many higher-education institutions have endeavored to understand students' characteristics
in order to improve the quality of education. To this end, demographic information and …
in order to improve the quality of education. To this end, demographic information and …
An exploratory analysis of the latent structure of process data via action sequence autoencoders
Computer simulations have become a popular tool for assessing complex skills such as
problem‐solving. Log files of computer‐based items record the human–computer interactive …
problem‐solving. Log files of computer‐based items record the human–computer interactive …
[HTML][HTML] Predicting student achievement based on temporal learning behavior in MOOCs
S Qu, K Li, B Wu, S Zhang, Y Wang - Applied Sciences, 2019 - mdpi.com
With the development of data mining technology, educational data mining (EDM) has gained
increasing amounts of attention. Research on massive open online courses (MOOCs) is an …
increasing amounts of attention. Research on massive open online courses (MOOCs) is an …
Predicting student performance in interactive online question pools using mouse interaction features
Modeling student learning and further predicting the performance is a well-established task
in online learning and is crucial to personalized education by recommending different …
in online learning and is crucial to personalized education by recommending different …
[HTML][HTML] Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors
Abstract Existing Predictive Learning Analytics (PLA) systems utilising machine learning
models show they can improve teacher practice and, at the same time, student outcomes …
models show they can improve teacher practice and, at the same time, student outcomes …