Conversational Agents for Learning Support

Abstract

This article highlights on the promising potential and unexplored possibilities of conversational agent technology, as a relatively new paradigm for improving outcomes of computer-based learning support systems. We begin with a brief overview of research related to conversational agent technology. We then focus on the theoretical foundations of conversational agents based tutoring systems, especially animated pedagogical agents, and discuss how they can be employed to support both cognitive and affective aspects of learning. As a case study, we introduce and discuss the benefits of CEWill, an embodied conversational agent dedicated to enhance second language learners’ motivation towards communication. We conclude with issues and perspectives for future research towards better design and evaluation of such systems in computer-supported learning environments.