IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p716-d1318846.html
   My bibliography  Save this article

The Structure and Characteristics of Effective Massive Open Online Course Learning Strategies among College Students: A Qualitative Study

Author

Listed:
  • Deming Shu

    (School of Education, Soochow University, Suzhou 215123, China)

  • Qiaoyun Chen

    (School of Education Science, Nanjing Normal University, Nanjing 210097, China)

  • Dianzhi Liu

    (School of Education, Soochow University, Suzhou 215123, China)

  • Sifan Shen

    (School of Education Science, Nanjing Normal University, Nanjing 210097, China)

  • Weijun Yi

    (School of Computer Science and Technology, Soochow University, Suzhou 215008, China)

  • Xiaoqi Tang

    (School of Humanities and Social Sciences, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

  • Manshu Luo

    (School of Humanities and Social Sciences, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

Abstract

To enhance the development of massive open online course (MOOC) teaching and learning, prevalent methods and characteristics employed by college students in MOOC learning strategies must be investigated. This study employed the grounded theory approach to systematically encode and construct a learning strategy model for the use of MOOCs among college students in China. This study used data obtained from 57 college students and applied qualitative research coding procedures and NVivo software (version 12.0). The results revealed that the core learning strategies used by college students in MOOC learning could be categorized into cognitive, resource management, and metacognitive types. Five specific learning strategies were most frequently used: elaboration, interactive and cooperation, help-seeking, effort management, and information selection strategies. However, association and questioning strategies are infrequently employed by college students in their learning. Therefore, educators must actively guide students to expand their innovative thinking abilities by implementing these strategies.

Suggested Citation

  • Deming Shu & Qiaoyun Chen & Dianzhi Liu & Sifan Shen & Weijun Yi & Xiaoqi Tang & Manshu Luo, 2024. "The Structure and Characteristics of Effective Massive Open Online Course Learning Strategies among College Students: A Qualitative Study," Sustainability, MDPI, vol. 16(2), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:716-:d:1318846
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/716/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/2/716/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giovanni Schettino & Vincenza Capone, 2022. "Learning Design Strategies in MOOCs for Physicians’ Training: A Scoping Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    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.

      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:16:y:2024:i:2:p:716-:d:1318846. 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.