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Extending a Teachable Agent with a Social Conversation Module – Effects on Student Experiences and Learning

Gulz, Agneta LU ; Haake, Magnus LU and Annika, Silvervarg (2011) The 15th International Conference on Artificial Intelligence in Education p.106-114
Abstract
The paper discusses the addition of off-task socially oriented conversational abilities to an existing “teachable agent” (TA) in an educational game in mathematics. The purpose of this extension is to affect constructs known to promote learning, such as self-efficacy and engagement as well as enhance students’ experiences of interacting with the game. A comparison of students that played the game with the off-task interaction to those who played without it, shows trends that indicate that students who played the game with off-task interaction had a more positive experience of the game, and that they also learnt more, as reflected in the learning outcomes of their TAs.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
socially oriented conversation, off-task interaction, teachable agent, Educational game in mathematics, conversational pedagogical agent, SoTL
host publication
Proceedings of Artificial Intelligence in Education, 2011 LNAI 6738
editor
Biswas, Gautam and Bull, Susan
pages
8 pages
publisher
Springer
conference name
The 15th International Conference on Artificial Intelligence in Education
conference location
Auckland, New Zealand
conference dates
2011-06-27 - 2011-07-02
external identifiers
  • scopus:79959308002
project
Thinking in Time: Cognition, Communication and Learning
language
English
LU publication?
yes
id
40389bc8-0ea5-4dc5-a7bf-367faff1d15b (old id 1897770)
date added to LUP
2016-04-04 11:07:27
date last changed
2025-04-04 14:06:10
@inproceedings{40389bc8-0ea5-4dc5-a7bf-367faff1d15b,
  abstract     = {{The paper discusses the addition of off-task socially oriented conversational abilities to an existing “teachable agent” (TA) in an educational game in mathematics. The purpose of this extension is to affect constructs known to promote learning, such as self-efficacy and engagement as well as enhance students’ experiences of interacting with the game. A comparison of students that played the game with the off-task interaction to those who played without it, shows trends that indicate that students who played the game with off-task interaction had a more positive experience of the game, and that they also learnt more, as reflected in the learning outcomes of their TAs.}},
  author       = {{Gulz, Agneta and Haake, Magnus and Annika, Silvervarg}},
  booktitle    = {{Proceedings of Artificial Intelligence in Education, 2011 LNAI 6738}},
  editor       = {{Biswas, Gautam and Bull, Susan}},
  keywords     = {{socially oriented conversation; off-task interaction; teachable agent; Educational game in mathematics; conversational pedagogical agent; SoTL}},
  language     = {{eng}},
  pages        = {{106--114}},
  publisher    = {{Springer}},
  title        = {{Extending a Teachable Agent with a Social Conversation Module – Effects on Student Experiences and Learning}},
  year         = {{2011}},
}