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User-Centered Software Design: User Interface Redesign for Blockly–Electron, Artificial Intelligence Educational Software for Primary and Secondary Schools

Author

Listed:
  • Chenghong Cen

    (School of Fine Arts, South China Normal University, Guangzhou 510631, China
    These authors contributed equally to this work.)

  • Guang Luo

    (School of Fine Arts, South China Normal University, Guangzhou 510631, China
    These authors contributed equally to this work.)

  • Lujia Li

    (School of Fine Arts, South China Normal University, Guangzhou 510631, China)

  • Yilin Liang

    (School of Fine Arts, South China Normal University, Guangzhou 510631, China)

  • Kang Li

    (College of Communication & Media Sciences, Zayed University, Abu Dhabi 144534, United Arab Emirates)

  • Tan Jiang

    (School of Fine Arts, South China Normal University, Guangzhou 510631, China)

  • Qiang Xiong

    (He Xiangning College of Art and Design, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China)

Abstract

According to the 2021 and 2022 Horizon Report, AI is emerging in all areas of education, in various forms of educational aids with various applications, and is carving out a similarly ubiquitous presence across campuses and classrooms. This study explores a user-centered approach used in the design of the AI educational software by taking the redesign of the user interface of AI educational software Blockly–Electron as an example. Moreover, by analyzing the relationship between the four variables of software usability, the abstract usability is further certified so as to provide ideas for future improvements to the usability of AI educational software. User-centered design methods and attribution analysis are the main research methods used in this study. The user-centered approach was structured around four phases. Overall, seventy-three middle school students and five teachers participated in the study. The USE scale will be used to measure the usability of Blockly–Electron. Five design deliverables and an attribution model were created and discovered in the linear relationship between Ease of Learning, Ease of Use, Usefulness and Satisfaction, and Ease of use as a mediator variable, which is significantly different from the results of previous regression analysis for the USE scale. This study provides a structural user-centered design methodology with quantitative research. The deliverables and the attribution model can be used in the AI educational software design. Furthermore, this study found that usefulness and ease of learning significantly affect the ease of use, and ease of use significantly affects satisfaction. Based on this, the usability will be further concretized to facilitate the production of software with greater usability.

Suggested Citation

  • Chenghong Cen & Guang Luo & Lujia Li & Yilin Liang & Kang Li & Tan Jiang & Qiang Xiong, 2023. "User-Centered Software Design: User Interface Redesign for Blockly–Electron, Artificial Intelligence Educational Software for Primary and Secondary Schools," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5232-:d:1098331
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    References listed on IDEAS

    as
    1. Cristian D. González-Carrillo & Felipe Restrepo-Calle & Jhon J. Ramírez-Echeverry & Fabio A. González, 2021. "Automatic Grading Tool for Jupyter Notebooks in Artificial Intelligence Courses," Sustainability, MDPI, vol. 13(21), pages 1-26, October.
    2. Jianjing Qu & Yanan Zhao & Yongping Xie, 2022. "Artificial intelligence leads the reform of education models," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 581-588, May.
    Full references (including those not matched with items on IDEAS)

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