Computational Argumentation for Supporting Learning Processes: Applications and Challenges

Abstract

This book chapter analyzes different applications and challenges of computational argumentation for modeling different aspects of learning processes. Some of the topics included are argument-based recommender systems for educational purposes; argument-based shared knowledge for computer-supported collaborative learning (CSCL) and argument-based opinion mining for eliciting students’ knowledge based on information items corresponding to different topics of study. We also identify and discuss salient challenges associated with argumentation in the current state of the art. The chapter is organized to be self-contained, including an overview of the key elements in computational argumentation. Our contribution is intended to provide a reference point for researchers working on intelligent techniques for educational processes who are interested in incorporating argumentation as a metaphor for modeling intelligent decision making in Intelligent Tutoring Systems (ITS), Computer-Supported Collaborative Learning (CSCL) systems, and other related areas.