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The Construction of an Evaluation Index System for Assistive Teaching Robots Aimed at Sustainable Learning

Author

Listed:
  • Pei-Yao Su

    (Faculty of Education, Fujian Normal University, Fuzhou 350117, China
    These authors contributed equally to this work.)

  • Zi-Ying Zhao

    (Faculty of Education, Fujian Normal University, Fuzhou 350117, China
    These authors contributed equally to this work.)

  • Qi-Gan Shao

    (School of Economics and Management, Xiamen University of Technology, Xiamen 361024, China)

  • Pei-Yuan Lin

    (Faculty of Education, Fujian Normal University, Fuzhou 350117, China)

  • Zhe Li

    (Faculty of Education, Fujian Normal University, Fuzhou 350117, China)

Abstract

A typical example of a robot used in education is the assistive teaching robot, which has much potential to enhance teaching and learning as well as to promote sustainable learning. However, there needs to be formalized selection and evaluation procedures for robotic teaching assistants. To address this need, this paper presents a function evaluation system framework for assistive teaching robots, which includes four dimensions: system structure, appearance interface, teaching function, and auxiliary support. This study employed the framework of the DANP method to examine the extent of influence of various indicators. The analysis focused on determining the critical components of the function evaluation system for assistive teaching robots. Ultimately, the study concluded that two crucial factors in this evaluation system emerged: teaching function and auxiliary support. These two aspects are also key elements in promoting sustainable learning. Moreover, recommendations are made for designing and selecting suitable assistive teaching robot products, aiming to serve as an exemplary framework for future product development and implementing educational activities within school settings, while further contributing to the realization of sustainable learning.

Suggested Citation

  • Pei-Yao Su & Zi-Ying Zhao & Qi-Gan Shao & Pei-Yuan Lin & Zhe Li, 2023. "The Construction of an Evaluation Index System for Assistive Teaching Robots Aimed at Sustainable Learning," Sustainability, MDPI, vol. 15(17), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13196-:d:1231497
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    References listed on IDEAS

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    1. Ryosuke Nakamoto & Brendan Flanagan & Yiling Dai & Taisei Yamauchi & Kyosuke Takami & Hiroaki Ogata, 2023. "Enhancing Self-Explanation Learning through a Real-Time Feedback System: An Empirical Evaluation Study," Sustainability, MDPI, vol. 15(21), pages 1-22, November.

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