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

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 ...

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 ...

In this article, we explore how to become a data analyst, including the work experience and educational steps you must take to launch your career. Why You Can Trust Forbes Advisor Education ...

Three professors use data science to tackle educational inequities for minority students. JULY 28, 2021 — Three UTSA professors across disciplines are working together on a project to increase ...

Data Quality Issues: The effectiveness of data mining heavily depends on the quality of the data being analyzed. Incomplete, inaccurate, or ambiguous data can lead to misleading results.