Educational data mining (EDM) has emerged as an influential discipline that utilises sophisticated algorithms and machine learning techniques to translate complex educational data into practical ...

This review examines recent advancements in personalized educational data mining across four key areas: educational recommendation, cognitive diagnosis, knowledge tracing, and learning analysis.

Relying on educational big data, data mining or learning analytics will teach you to leverage big data and use critical quantitative methods harnessed for educational equity. We aim to develop you as ...

The Educational Data Science program is designed to provide you with the essential knowledge and skills you need for this expanding field of data analytics—one of the ten fastest growing occupations ...

Topics covered include data preprocessing, data warehouse, association, classification, clustering, outlier detection, and mining specific data types such as time-series, social networks, multimedia, ...