IDEAS home Printed from https://ideas.repec.org/a/tec/journl/v40y2023i1p107-116.html
   My bibliography  Save this article

The Mobile Apps Development of Simple Machine Content to Improve Learning Achievement of Junior High School Students

Author

Listed:
  • Saprudin Saprudin

    (Universitas Khairun.)

  • Amalia Tomia

    (Universitas Khairun.)

  • Nurlaela Muhammad

    (Universitas Khairun.)

  • Nurdin Abdul Rahman

    (Universitas Khairun.)

  • Fatma Hamid

    (Universitas Khairun.)

  • Sumarni Sahjat

    (Universitas Khairun.)

Abstract

This research aims to develop the content for Mobile Apps for simple machine learning materials and to study the validity and the impact of its product on improving junior high school students learning achievement. This development research follows the stages of ADDIE (Analysis, Design, Development, Implementation, Evaluation). The instruments used in this study include Mobile Apps product validation sheets and 30 multiple-choice questions. The validation results of media experts, material experts, and language experts state that this Mobile Apps product is suitable to be used in the learning process. The results of the implementation involving 24 students of class VIII at a junior high school in Ternate city show that the use of Mobile Apps can improve students' learning achievement

Suggested Citation

  • Saprudin Saprudin & Amalia Tomia & Nurlaela Muhammad & Nurdin Abdul Rahman & Fatma Hamid & Sumarni Sahjat, 2023. "The Mobile Apps Development of Simple Machine Content to Improve Learning Achievement of Junior High School Students," Technium Social Sciences Journal, Technium Science, vol. 40(1), pages 107-116, February.
    • Handle: RePEc:tec:journl:v:40:y:2023:i:1:p:107-116
    DOI: 10.47577/tssj.v40i1.8340
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/socialsciences/article/view/8340/3048
    Download Restriction: no
    File URL: https://techniumscience.com/index.php/socialsciences/article/view/8340
    Download Restriction: no
    File URL: https://libkey.io/10.47577/tssj.v40i1.8340?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Panagiota Chatzivasileiou & Athanasios Drigas, 2022. "ICTs for the Cognitive and Metacognitive abilities of the students with Specific Learning Disorder in Mathematics," Technium Social Sciences Journal, Technium Science, vol. 31(1), pages 256-279, May.
    2. Panagiota Chatzivasileiou & Athanasios Drigas, 2022. "ICTs for the Development of the Cognitive and Metacognitive abilities of the students with Specific Learning Disorder in Mathematics," Technium Social Sciences Journal, Technium Science, vol. 31(1), pages 131-152, May.
    3. Janet Li, 2021. "Mobile-assisted Autonomous English Learning in College Students' Extra-curriculum Time: A Case Study in China," Technium Social Sciences Journal, Technium Science, vol. 19(1), pages 129-143, May.
    4. repec:thr:techub:10031:y:2022:i:1:p:131-152 is not listed on IDEAS
    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. Hui-Li Gao, 2021. "The Impact of Quality of Experience of Chinese College Students on Internet-Based Resources English Learning," Future Internet, MDPI, vol. 13(7), pages 1-20, June.

    More about this item

    Keywords

    Mobile Apps; Student’s Learning Achievement; Simple Machine;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:tec:journl:v:40:y:2023:i:1:p:107-116. 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: Tasente Tanase (email available below). General contact details of provider: .

    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.