Learning Outcomes and Experiences while Learning with an Argumentative Agent

ID: 41674 Type: Full Paper: Conceptual & Empirical Study
  1. Xuehong Tao and Nicola Yelland, Victoria University, Australia
  2. Zhiqi Shen, Nanyang Technological University, Singapore

Thursday, June 26 1:30 PM-2:00 PM Location: B3107 View on map

Presider: Cesar C. Navarrete, University of Texas at Austin, United States

Abstract: Intelligent agents are active components in education. However, there is no intelligent agent that is able to conduct argumentation dialogues with learners to facilitate argumentative learning. This research develops an intelligent agent which is able to argue with learners on science topics. A study was carried out to investigate the learning outcomes and experiences while learning with the argumentative agent. The study found that the argumentative agent can significantly improve the learning outcomes compared with a non-argumentative agent. This study also investigated the learners’ learning experiences which will contribute to the understanding of argumentative learning with intelligent agents from learners’ perspectives.


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