Despite the increasing use of conversational artificial intelligence (AI) in language learning,
few studies explored how to develop collaborative partnership between AIs and humans …

Abstract The field of Artificial Intelligence in Education (AIED) has undergone significant
developments over the last twenty-five years. As we reflect on our past and shape our future …

This article proposes 7 core affordances of technology for collaborative learning based on
theories of collaborative learning and CSCL (Computer-Supported Collaborative Learning) …

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 …

Machine Learning and Human Intelligence Page 1 Machine Learning and Human Intelligence
Rosemary Luckin Machine Learning and Human Intelligence The future of education for the …

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 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 …

Theoretical Foundations of Learning Environments provides students, faculty, and
instructional designers with a clear, concise introduction to the major pedagogical and …

Help seeking is an important process in self-regulated learning (SRL). It may influence
learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at …

The field of artificial intelligence in education (AIED) uses techniques from AI and cognitive
science to better understand the nature of learning and teaching and to build systems to …