IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2518-d336073.html
   My bibliography  Save this article

Eye Movement Analysis of Digital Learning Content for Educational Innovation

Author

Listed:
  • Xiaolong Liu

    (College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Xuebai Zhang

    (School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Wei-Wen Chen

    (Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan)

  • Shyan-Ming Yuan

    (Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan)

Abstract

Eye movement technology is highly valued for evaluating and improving digital learning content. In this paper, an educational innovation study of eye movement behaviors on digital learning content is presented. We proposed three new eye movement metrics to explain eye movement behaviors. In the proposed method, the digital content, which were slide-deck-like works, were classified into page categories according to the characteristics of each page. We interpreted the subjects’ eye movement behaviors on the digital slide decks. After data regularization and filtering, the results were analyzed to give directions for how to design an attractive digital learning content from the viewpoint of eye movement behaviors. The relationships between the subjects’ evaluation scores, page categories, and eye movement metrics are discussed. The results demonstrated that the proposed fixation time percentage (FTP) was a representative, strong, and stable eye movement metric to measure the subjects’ interest. Moreover, a reasonable portion of semantic content had a positive influence on the subjects’ interest.

Suggested Citation

  • Xiaolong Liu & Xuebai Zhang & Wei-Wen Chen & Shyan-Ming Yuan, 2020. "Eye Movement Analysis of Digital Learning Content for Educational Innovation," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2518-:d:336073
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2518/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/6/2518/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Danuse Vymetalkova & Eva Milkova, 2019. "Experimental Verification of Effectiveness of English Language Teaching Using MyEnglishLab," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Teen-Hang Meen & Charles Tijus & Jui-Che Tu, 2020. "Selected Papers from the Eurasian Conference on Educational Innovation 2020," Sustainability, MDPI, vol. 12(15), pages 1-5, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrea Sevcikova & Eva Milkova & Mirela Moldoveanu & Martin Konvicka, 2023. "Graph Theory: Enhancing Understanding of Mathematical Proofs Using Visual Tools," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    2. Tong Zhou & Wei Zhang, 2022. "Effectiveness Study on Online or Blended Language Learning Based on Student Achievement: A Systematic Review of Empirical Studies," Sustainability, MDPI, vol. 14(12), pages 1-29, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2518-:d:336073. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.