Enhancement of Teaching and Learning: Applications in Learning Analytics and Educational Data Mining

Enhancement of Teaching and Learning: Applications in Learning Analytics and Educational Data Mining

The aim for this special issue on Applications in LA and EDM covers all aspects of data analytics in supporting teaching, learning, and administration for researchers in P-16 education, and the development of technology-enriched formats of instructional delivery, such as various categories of blended and online learning. Traditionally, the main data sources of LA and EDM research reply on the database in the Learning Management System (LMS).


Discovering disciplinary differences: blending data sources to explore the student online behaviors in a University English Course,Efficient computation of key performance indicators in a distance learning university,Enhancement of Teaching and Learning: Applications in Learning Analytics and Educational Data Mining,Estimating student ability and problem difficulty using Item Response Theory (IRT) and TrueSkill,Improving the prediction accuracy in blended learning environment using synthetic minority oversampling technique,Supportive campuses and first-generations-student learning outcomes

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