Personalized education—the systematic adaptation of instruction to individual learners—has
been a long-striven goal. We review research on personalized education that has been …

AutoTutor is a natural language tutoring system that has produced learning gains across
multiple domains (eg, computer literacy, physics, critical thinking). In this paper, we review …

The purpose of this article is to delineate the role of epistemic emotions in personal
epistemology and self-regulated learning (SRL). We first review important tenets of personal …

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 …

AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is
adaptive to the learners' actions, verbal contributions, and in some systems their emotions …

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 …

The goal of this research was the development of a practical architecture for the computer-
based tutoring of teams. This article examines the relationship of team behaviors as …

Abstract Intelligent Tutoring systems (ITSs) and Intelligent Learning Environments (ILEs)
have been developed and evaluated over the last 40 years. Recent meta‐analyses show …

Learning is facilitated by conversational interactions both with human tutors and with
computer agents that simulate human tutoring and ideal pedagogical strategies. In this …

Prior research suggests students can sometimes learn more effectively by explaining and
correcting example problems that have been solved incorrectly, compared to problem …