Learning

Analytics Learning Analytics is a data-driven approach to understanding and optimizing the learning process. It uses data collected from online learning activities to identify trends, measure student progress, measure progress towards learning objectives, and identify areas for improvement. This data-driven approach allows educators to understand student behavior and make informed decisions about how to effectively support and strengthen the learning process. Learning Analytics can help educators identify areas of strength and weakness among their students and tailor learning activities accordingly. It can also help identify students at risk of dropping out and provide the support they need to stay engaged and successful in the learning process. In this way, Learning Analytics can provide an important tool for improving the quality of education.

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Analyzing Students’ Opinions about their Learning Environments and Study Approaches with Bayesian Modeling

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Study of The ID3 and C4.5 Learning Algorithms

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Statistical Analysis on the Influence of Flipped Classroom Teaching on Students’ Learning Effect During the Coronavirus Disease 2019 Epidemic

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Critical Review of Teaching and Learning Methodologies for Learners with Special Educational Needs in the 21st Century and Beyond

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Success Driven: Student Motivation Actions in Teaching and Learning

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Comparative Study of Deep Learning Techniques for Detecting Corn Plant Leaf Diseases Using Transfer Learning

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Learning and Memory in an Animal Model of Longevity: The Ames Dwarf Mice

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