In recent years, learner models have emerged from the research laboratory and research
classrooms into the wider world. Learner models are now embedded in real world …

Hybrid systems combining artificial and human intelligence hold great promise for training
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …

In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

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 …

Student engagement is a key concept in contemporary education, where it is valued as a
goal in its own right. In this paper we explore approaches for automatic recognition of …

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 …

Building Intelligent Interactive Tutors discusses educational systems that assess a student's
knowledge and are adaptive to a student's learning needs. The impact of computers has not …

This article describes research results based on multiple years of experimentation and real-
world experience with an adaptive tutoring system named Wayang Outpost. The system …

This paper describes the use of sensors in intelligent tutors to detect students' affective
states and to embed emotional support. Using four sensors in two classroom experiments …

How do people learn in subject areas, such as reading, writing, mathematics, science, and
history, and how can we help people learn, using instructional methods such as feedback …