Learning analytics and educational data mining constitute complementary approaches aimed at harnessing the vast digital footprints generated by learners to enhance educational practice. Learning ...

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 ...

Data mining has evolved from the esoteric domain of the mathematician to the expert statistician’s programming and workbench tools and, at last, to the realm of widely accessible business applications ...

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 ...