Learner modeling is a basis of personalized, adaptive learning. The research literature
provides a wide range of modeling approaches, but it does not provide guidance for …

This paper aims to link student facing Learning Analytics Dashboards (LADs) to the corpus
of research on Open Learner Models (OLMs), as both have similar goals. We conducted a …

Leveraging a scientific infrastructure for exploring how students learn, we have developed
cognitive and statistical models of skill acquisition and used them to understand …

The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that
would leverage rich models of students and pedagogies to create complex learning …

Self-regulated learning (or self-regulation) refers to the process whereby learners personally
activate and sustain cognitions, affects, and behaviours that are systematically oriented …

A common intuition is that instruction is most effective if it takes into account (a) that learners
are different, and (b) that they change as they learn. But learners differ in a great many ways …

Using data to understand learning and improve education has great promise. However, the
promise will not be achieved simply by AI and Machine Learning researchers develo** …

Predictive analytics methods in education are seeing widespread use and are producing
increasingly accurate predictions of students' outcomes. With the increased use of predictive …

An emerging field of educational data mining (EDM) is building on and contributing to a wide
variety of disciplines through analysis of data coming from various educational technologies …

Educational Data Mining: An Advance for Intelligent Systems in Education Page 1 78 1541-1672/14/$31.00
© 2014 IEEE Ieee InTeLLIGenT SySTemS Published by the IEEE Computer Society AI AND …