Yugo Hayashi
ABSTRACT
The present study investigated how the variables, consisting of the expressions of emotion and embodied characteristics of the PCA and the personal characteristics of the participants, influenced the participants' explanation performance. In the study, a lexical network analysis, focusing on the co-occurrence of key words in the participant's text explanation as dependent variables, was used for automatic evaluation. Text-mining and machine learning results show that during the explanation activity the expression and the gender of the PCA influence the learners' performance. This paper provides insight into the behavior of humans performing online tasks and suggestions related to the design of efficient online tutoring systems.
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Digital Library
- Kim, K. and Baylor, A. A social-cognitive framework for pedagogical agents as learning companions. ETR & D-Educational Technology Research And Development, 54, 6,(2006), 569-696.Google Scholar
- Kim, K. and Baylor, A. and Shen, E. Pedagogical agents as learning companions: the impact of agent emotion and gender. Journal of Computer Assisted Learning, 23, (2007), 220-234.Google ScholarCross Ref
- Hayashi, Y. On pedagogical effects of learner support agents in collaborative interaction. In Proc. 11th International Conference on Intelligent Tutoring Systems, Lecture Notes in Computer Science (Cerri, A. S. and Clancey, B. eds.), Springer-Verlag, 7315 (2012), 22-32. Google ScholarDigital Library
- Hayashi, Y. Explanation activities with a pedagogical agent in an online task: Lexical network analysis. In Proc. CHI 2015 Works-in-Progress, 1457- 1460. Google ScholarDigital Library
- Analyzing Lexical Expressions in an Human-Agent Online Explanation Task: Influence of Affect and Characteristics
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