View Item 

Evaluation Study and Results of Intelligent Pedagogical Agent-led Learning Scenarios in a Virtual World

Access Status
Open access
Authors
Soliman, M.
Guetl, Christian
Date
2014
Type
Conference Paper

Metadata
Show full item record
Citation
Soliman, M. and Guetl, C. 2014. Evaluation Study and Results of Intelligent Pedagogical Agent-led Learning Scenarios in a Virtual World, in 37th International ICT Convention MIPRO, May 26 2014. Opatija, Croatia: Institute of Electrical and Electronics Engineers (IEEE).
Source Title
Information and Communication Technology Electronics and Microelectronics, International Convention 37th 2014
Source Conference
The 37th International ICT Convention MIPRO 2014
DOI
ISBN
Remarks

Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

URI
Collection
Abstract

The use of intelligent pedagogical agents (IPAs) has shown to provide positive learning results and new learning possibilities. The IPA has specific importance in immersive learning environments to enable 24/7 availability, offer a learning companion opportunity, and increase learner engagement. In that regard, a proof of concept prototype implementation of an intelligent pedagogical agent (IPA) in the Open Wonderland virtual world environment was created. This paper reports a qualitative evaluation study and experiment performed by a team of six experts in relevant areas of expertise. Those areas include cognitive science, computer science, e-education, and virtual worlds. The experiment studied key prototype components in relation to four learning scenarios with distributed control between the learner avatar and the pedagogical agent to answer questions relevant to their effect on learning attributes such as motivation, engagement, and the learning experience. Given the qualitative nature of the experiment, the paper also analyzes and reports results relevant to expert input of how the prototype can better contribute to future pedagogical agent realizations and the impact on learning enhancement.