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Learning with Pedagogical Agent: Effects of Transfer of Information Function

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Human Aspects of IT for the Aged Population (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14042))

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Abstract

In order to investigate the effect of the transfer of information function of instructional agents on learning and whether different combinations of pedagogical agents’ functions are more conducive to learning than single-function agents, we designed a one-factor within-subject design experiment to explore the effect of pedagogical agent functions (motivational, information transfer, and combined functions) on learners’ learning outcomes and subjective perceptions (social presence perception, role perception, and self-efficacy). Obtained data were analyzed by repeated measures ANOVA. Results confirmed that the presence of pedagogical agents with particular functions significantly improved the learning outcomes and self-efficacy. And the transfer of information function of pedagogical agents is more conducive to learning than motivation function.

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Acknowledgements

This work was supported by the grant from Natural Science Foundation of China (Project No. 71901033).

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Authors and Affiliations

  1. School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China

    Linran Xu, Xingmiao Li, Naimi Tang & Hefeng Wang

  2. International School, Beijing University of Posts and Telecommunications, Beijing, China

    Manqiu Liao

  3. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China

    Na Liu

Authors
  1. Linran Xu
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  2. Xingmiao Li
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  3. Naimi Tang
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  4. Hefeng Wang
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  5. Manqiu Liao
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  6. Na Liu
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Corresponding author

Correspondence to Na Liu .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Qin Gao

  2. Chongqing University, Chongqing, China

    Jia Zhou

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Xu, L., Li, X., Tang, N., Wang, H., Liao, M., Liu, N. (2023). Learning with Pedagogical Agent: Effects of Transfer of Information Function. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. HCII 2023. Lecture Notes in Computer Science, vol 14042. Springer, Cham. https://doi.org/10.1007/978-3-031-34866-2_28

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  • DOI: https://doi.org/10.1007/978-3-031-34866-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34865-5

  • Online ISBN: 978-3-031-34866-2

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