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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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.
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    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

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