Conversational Analysis to Recommend Collaborative Learning in Distance Education

Abstract

Conversational agents can recommend interactions among students in a Virtual Learning Environment (VLE) for the purpose of supporting collaborative learning, an important approach to improve online education. This paper describes the current position of a research that addresses the implementation of Conversational Analysis (CA) in order to make recommendations through chatbots for promoting collaborative learning among students in a VLE. Based on an experiment, the authors propose a CA strategy to determine the level of collaboration among students, point out possibilities for chatbot’s intervention in favor of collaborative learning, and present the results obtained in the current stage of the research.