We review the history and current trends in the field of Educational Data Mining (EDM). We
consider the methodological profile of research in the early years of EDM, compared to in …

How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution
by identifying six trends. The trends are ongoing and will influence learning technologies …

A mineração de dados educacionais (EDM) é uma área recente de pesquisa que tem como
principal objetivo o desenvolvimento de métodos para explorar conjuntos de dados …

Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon
methodologies for extracting useful knowledge from data and there are several useful KDD …

Learning spaces offer a rigorous mathematical foundation for practical systems of
educational technology. Learning spaces generalize partially ordered sets and are special …

We apply collaborative filtering (CF) to dichotomously scored student response data (right,
wrong, or no interaction), finding optimal parameters for each student and item based on …

The idea of classification is to place an object into one class or category, based on its other
characteristics. In education, teachers and instructors are always classifying their students …

Detecting weaknesses in students' knowledge may constitute an objective of testing.
Computerized test systems, which can be tailored to students' knowledge level, are …

Stealth assessment provides an innovative way to assess and ultimately support knowledge,
skills, and other personal attributes within learning and gaming environments without …

Generally, an ITS is considered to have four major components (Elsom-Cook, 1993;
Graesser, Conley & Olney, 2012; Nkambou, Mizoguchi & Bourdeau, 2010; Psotka, Massey & …