IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6950-d1128611.html
   My bibliography  Save this article

Developing a Learning Pathway System through Web-Based Mining Technology to Explore Students’ Learning Motivation and Performance

Author

Listed:
  • Shu-Chen Cheng

    (Department of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City 710301, Taiwan)

  • Yu-Ping Cheng

    (Department of Engineering Science, National Cheng Kung University, Tainan City 701, Taiwan)

  • Yueh-Min Huang

    (Department of Engineering Science, National Cheng Kung University, Tainan City 701, Taiwan)

Abstract

There are many resources on the Internet. Searching for articles or multimedia videos is usually interspersed with irrelevant information or advertisements, which may cause students to spend a lot of time judging whether the search results are suitable for learning materials. Therefore, this study developed a learning pathway system by analyzing the representative keywords and difficulty of Internet articles in an automated way and then explored the learning performance and motivation of students using this system. In addition, 67 students were recruited into this study for 18 weeks of experimental activities. In the experimental activities, students can use the learning pathway system to search for algorithm-related materials for reading, and they can also continue to use the system proposed in this study for self-learning after class. The results show that the students’ post-test scores are significantly higher than their pre-test scores, indicating that students can use the learning pathway system to improve their academic performance in algorithm courses. In addition, the intrinsic motivation of high-achieving students was improved, while the intrinsic and extrinsic motivation of low-achieving students were both improved. This means that the learning pathway system can provide suitable learning materials for students to learn, allowing students to achieve autonomous learning.

Suggested Citation

  • Shu-Chen Cheng & Yu-Ping Cheng & Yueh-Min Huang, 2023. "Developing a Learning Pathway System through Web-Based Mining Technology to Explore Students’ Learning Motivation and Performance," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6950-:d:1128611
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6950/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/8/6950/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Méndez & Miriam Méndez & Juana María Anguita, 2022. "Digital Teaching Competence in Teacher Training as an Element to Attain SDG 4 of the 2030 Agenda," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
    Full references (including those not matched with items on IDEAS)

    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. Shubashini Rathina Velu, 2022. "Design Thinking Approach for Increasing Innovative Action in Universities: ICT’s Mediating Effect," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    2. Qingru Duan & Yong Jiang & Yifang Wang & Chuchu Zheng & Jing Liu & Xin Liu, 2023. "Development and Validation of Chinese Kindergarten Teachers’ Learning and Development Scale," Sustainability, MDPI, vol. 15(3), pages 1-20, January.

    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:15:y:2023:i:8:p:6950-:d:1128611. 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.