Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
Big educational data & analytics: Survey, architecture and challenges
KLM Ang, FL Ge, KP Seng - IEEE access, 2020 - ieeexplore.ieee.org
The proliferation of mobile devices and the rapid development of information and
communication technologies (ICT) have seen increasingly large volume and variety of data …
communication technologies (ICT) have seen increasingly large volume and variety of data …
[HTML][HTML] Affective state prediction of E-learner using SS-ROA based deep LSTM
An affective state of a learner in E-learning has gained enormous interest. The prediction of
the emotional state of a learner can enhance the outcome of learning by including …
the emotional state of a learner can enhance the outcome of learning by including …
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 …
Practical early prediction of students' performance using machine learning and eXplainable AI
Predicting students' performance in advance could help assist the learning process; if “at-
risk” students can be identified early on, educators can provide them with the necessary …
risk” students can be identified early on, educators can provide them with the necessary …
Impact of teachers' grading policy on the identification of at-risk students in learning analytics
The purpose of learning analytics is to promote student success in the classroom. To
implement the framework of learning analytics, researchers have adopted machine learning …
implement the framework of learning analytics, researchers have adopted machine learning …