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 ...

The new and rapidly growing field of educational data mining is using the chaff from data collected through normal school activities to explore learning in more detail than ever before, and ...

Personalized education, which focuses on individual student needs, preferences, and abilities, aligns with contemporary educational trends and is a key component of learning environments in the ...

The Educational Data Science program equips you with equity-focused, critical quantitative research methods, applicable in U.S. and global education contexts. You will gain exposure to critical ...

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 ...

It’s been a little over a year since eCollege merged with Pearson, the publishing conglomerate. Matthew Leavy, eCollege’s chief executive, says the move has enabled his company to increase its staff ...

The U.S. Department of Education is investigating how public schools can collect information on “non-cognitive” student attributes, after granting itself the power to share student data across ...

A new report lays out a strategy to enable districts and states to pool data and determine which interventions are most effective for getting students on track to attend college or launch a career. In ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...