2011
DOI: 10.1007/978-3-642-21869-9_16
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Extending a Teachable Agent with a Social Conversation Module – Effects on Student Experiences and Learning

Abstract: 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 wh… Show more

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Cited by 28 publications
(15 citation statements)
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“…In several other studies on the TA-game used in the present study, learning outcomes in relation to game and agent characteristics have been researched [8,13]. The present study has a focus on attitudes.…”
Section: A Teachable Agent With Social Conversational Skillsmentioning
confidence: 99%
See 1 more Smart Citation
“…In several other studies on the TA-game used in the present study, learning outcomes in relation to game and agent characteristics have been researched [8,13]. The present study has a focus on attitudes.…”
Section: A Teachable Agent With Social Conversational Skillsmentioning
confidence: 99%
“…social conversation). A recent study of the game by Gulz, Haake & Silvervarg [13] indicates that the social conversation can: (i) improve students' game experience, (ii) improve learning outcomes, and (iii) engage learners in voluntary ondomain chats.…”
Section: A Teachable Agent With Social Conversational Skillsmentioning
confidence: 99%
“…Thus, several projects have human students teach software that acts like a student (Biswas et al, 2005;Chase, Chin, Oppenzzo, & Schwartz, 2009;Chin et al, 2010;Gulz, Haake, & Silvervarg, 2011;Matsuda et al, 2011;Obayashi, Shimoda, & Yoshikawa, 2000;Pareto, Arvemo, Dahl, Haake, & Gulz, 2011;Tan, Wagster, et al, 2007;Wagster, Tan, Wu, et al, 2007). The software that acts like a student is called a teachable agent or simulated student.…”
Section: Teachable Agents and Reciprocal Teachingmentioning
confidence: 99%
“…They are aware of the player profile and they adjust their behavior (in the form of feedback) in order to keep them interested and motivated. For example, Conati and Manske [17] discuss how to improve the feedback provided to players, while [18] adds socially oriented conversational abilities to an existing "teachable agent" in order to enhance student's experience within the game. In our work, we use adaptive social feedback for building game presenters for any game, without focusing on learning.…”
Section: Related Workmentioning
confidence: 99%