IDEAS home Printed from https://ideas.repec.org/a/igg/jopcd0/v7y2017i2p20-34.html
   My bibliography  Save this article

Developing and Validating a High School Version of the Robotics Motivated Strategies for Learning Questionnaire

Author

Listed:
  • Yuan Ten Huang

    (National Central University, Jhongli, Taiwan)

  • Eric Zhi-Feng Liu

    (National Central University, Jhongli, Taiwan)

  • Chun Hung Lin

    (Chung Yuan Christian University, Jhongli, Taiwan)

  • Pey-Yan Liou

    (National Central University, Jhongli, Taiwan)

Abstract

Robotics has become a crucial domain in technology education, helping students to improve their abilities in assembly and programming. Despite the considerable research that has gone into the learning performance associated with robotics, little work has been done on the cognitive processes involved in learning this subject. The purpose of this study was to develop an instrument (based on the theoretical framework of MSLQ), with which to evaluate the motivation of high school students to learn robotics and the strategies they employ. Fifty participants in the open category competition of the World Robot Olympiad 2010 completed the self-reported questionnaire (RMSLQ-HS). Thirteen factors and fifty one items were extracted using exploratory factor analysis. Implications for the educational application of robotics and research suggestions related to RMSLQ are also discussed.

Suggested Citation

  • Yuan Ten Huang & Eric Zhi-Feng Liu & Chun Hung Lin & Pey-Yan Liou, 2017. "Developing and Validating a High School Version of the Robotics Motivated Strategies for Learning Questionnaire," International Journal of Online Pedagogy and Course Design (IJOPCD), IGI Global, vol. 7(2), pages 20-34, April.
  • Handle: RePEc:igg:jopcd0:v:7:y:2017:i:2:p:20-34
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJOPCD.2017040102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jopcd0:v:7:y:2017:i:2:p:20-34. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.