Titlebook: Machine Learning Paradigms; Advances in Learning Maria Virvou,Efthimios Alepis,Lakhmi C. Jain Book 2020 Springer Nature Switzerland AG 2020

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The Variability of the Reasons for Student Dropout in Distance Learning and the Prediction of Dropouly higher than those in conventional Universities. Dropping out in a University that provides distance education is caused by professional, academic, health and family and personal reasons. Limiting dropout is crucial and therefore, the aptitude to predict students’ dropping out could be very useful

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Multimodal Learning Analytics in a Laboratory Classroome of video technology to record classroom practices, in particular, can be a powerful way for capturing and studying learning and related phenomena within a social setting such as the classroom. This chapter outlines several multimodal techniques to analyze the learning activities in a laboratory cl

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Machine Learning Paradigms,ose to (1) measure Student Engagement, to quantify the Learning Experience and to facilitate Self-Regulation, (2) to predict Student Performance (3) to be incorporated in Tools for Building Learning Materials and Educational Courses, and (4) to be used as Tools to support Learners and Educators in Synchronous and Asynchronous e-Learning.

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