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International Conference on Blended Learning

ICBL 2021: Blended Learning: Re-thinking and Re-defining the Learning Process. pp 152–163Cite as

Applying an Intelligent Learning Partner in Teacher Education for Improving CT-Related TPACK

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12830))

Abstract

Developing effective learning strategies and tools to improve teachers’ computational thinking-related teaching ability is becoming an increasingly important issue in the digital age. In this study, an intelligent learning partner was designed and developed under the guidance of the framework of technological pedagogical content knowledge and peer-assisted learning strategy. Moreover, a quasi-experiment has been conducted in a blended learning community to evaluate the effect of the intelligent learning partner on improving teachers’ computational thinking-related technological pedagogical content knowledge. The participants were 32 pre-service teachers, comprising an experimental group (n = 16) and a control group (n = 16). The experimental results showed that the intelligent learning partner enabled the teachers to apply more knowledge of computational thinking-related technological pedagogical content knowledge into their lesson plans. Besides, it was found that the intelligent learning partner not only facilitated the teachers to think about students’ learning process, but also helped the teachers recognize the advantages of specific technology and pedagogy. Besides, participants’ feedback on improving the design of intelligent learning partners indicated that emotional interaction and explanations were needed.

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Acknowledgment

This work was supported by the Humanities and Social Sciences Planning Fund of the Ministry of Education (No. 18YJA880027).

Author information

Authors and Affiliations

  1. South China Normal University, Guangzhou, 510000, China

    Zhenzhen He, Changqin Huang, Tao He & Kai Bo

  2. Zhejiang Normal University, Jinhua, 321004, China

    Changqin Huang

Authors
  1. Zhenzhen He
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  2. Changqin Huang
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  3. Tao He
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  4. Kai Bo
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Corresponding author

Correspondence to Zhenzhen He .

Editor information

Editors and Affiliations

  1. Hong Kong Polytechnic University, Hong Kong, China

    Richard Li

  2. Open University of Hong Kong, Hong Kong, China

    Simon K. S. Cheung

  3. Kansai University, Osaka, Japan

    Chiaki Iwasaki

  4. City University of Hong Kong, Hong Kong, China

    Lam-For Kwok

  5. Nihon Fukushi University, Nagoya, Japan

    Makoto Kageto

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He, Z., Huang, C., He, T., Bo, K. (2021). Applying an Intelligent Learning Partner in Teacher Education for Improving CT-Related TPACK. In: Li, R., Cheung, S.K.S., Iwasaki, C., Kwok, LF., Kageto, M. (eds) Blended Learning: Re-thinking and Re-defining the Learning Process.. ICBL 2021. Lecture Notes in Computer Science(), vol 12830. Springer, Cham. https://doi.org/10.1007/978-3-030-80504-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-80504-3_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80503-6

  • Online ISBN: 978-3-030-80504-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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