This review describes a meta-analysis of findings from 50 controlled evaluations of
intelligent computer tutoring systems. The median effect of intelligent tutoring in the 50 …

This article is a review of experiments comparing the effectiveness of human tutoring,
computer tutoring, and no tutoring.“No tutoring” refers to instruction that teaches the same …

The rapid advancement of computing technologies has facilitated the implementation of
AIED (Artificial Intelligence in Education) applications. AIED refers to the use of AI (Artificial …

Abstract Intelligent Tutoring Systems (ITS) are computer programs that model learners'
psychological states to provide individualized instruction. They have been developed for …

Interactive and realistic teacher training is hard to scale. This is a key issue for learning at
scale, as inadequate preparation can negatively impact both students and teachers. What if …

We propose a model to explain the dynamics of affective states that emerge during deep
learning activities. The model predicts that learners in a state of engagement/flow will …

The development of artificial intelligence (AI) as a field has impacted almost all aspects of
human life. More recently it has found a role in addressing developmental challenges …

Advances in conversational AI have the potential to enable more engaging and effective
ways to teach factual knowledge. To investigate this hypothesis, we created QuizBot, a …

We study the incidence (rate of occurrence), persistence (rate of reoccurrence immediately
after occurrence), and impact (effect on behavior) of students' cognitive–affective states …

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 …