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Enhancing STEM Interest and Confidence Using AIot Visual Programming Approach for University Service-Learning Outreach

Author

Listed:
  • Haw Yuan Kang

    (Faculty Technology Maklumat Dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

  • Zahriah Othman

    (Faculty Technology Maklumat Dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

  • Raja Rina Raja Ikram

    (Faculty Technology Maklumat Dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

  • Nor Hafeizah Hassan

    (Faculty Technology Maklumat Dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

  • Abdul Karim Mohammad

    (Faculty Technology Maklumat Dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

  • Nor Aiza Moketar

    (Faculty Technology Maklumat Dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

  • Nurul Akmar Binti Emran

    (Faculty Technology Maklumat Dan Komunikasi, University Technical Malaysia Melaka, Malacca, Malaysia)

  • Shahrom Tumin

    (ST Microelectronics, Muar, Malaysia)

  • Norfazren Fateah Adnan

    (Malaysia Semiconductor Industry Association, Penang, Malaysia)

  • Carol Liao

    (Semi South East Asia, Singapore)

  • Cecelia Fong

    (Semi South East Asia, Singapore)

  • Farazawani Omar

    (Negeri Sembilan State Education Department, Malaysia)

  • Khairul Shukry Wahled

    (Melaka State Education Department, Malaysia)

  • Nur Aizuddin Kariman

    (Muar District Education Department, Johor, Malaysia)

  • Waris Candra1

    (MMicro: Bit Educational Foundation)

Abstract

Fostering interest and confidence in STEM (Science, Technology, Engineering, and Mathematics) is essential for developing future innovators. This study investigates the impact of integrating AIoT (Artificial Intelligence of Things) visual programming using micro: bit into a university service-learning outreach program to enhance primary school students’ interest and confidence in STEM. The program provided students with hands-on experience in developing AIoT projects through visual programming, guided by university mentors. Pre- and post-event surveys were conducted to assess changes in students’ perceptions, alongside feedback from teachers and mentors. The findings indicate a significant improvement in students’ confidence and interest in STEM, with a shift from neutral or negative responses to strong agreement with STEM-related statements. Teachers reported positive learning outcomes, while mentors gained valuable teaching experience. These results highlight the effectiveness of combining AIoT, visual programming, and university service-learning in fostering interest and confidence in STEM education. The study contributes to ongoing efforts to promote STEM through interactive and experiential learning approaches.

Suggested Citation

  • Haw Yuan Kang & Zahriah Othman & Raja Rina Raja Ikram & Nor Hafeizah Hassan & Abdul Karim Mohammad & Nor Aiza Moketar & Nurul Akmar Binti Emran & Shahrom Tumin & Norfazren Fateah Adnan & Carol Liao & , 2025. "Enhancing STEM Interest and Confidence Using AIot Visual Programming Approach for University Service-Learning Outreach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3), pages 1303-1315, March.
  • Handle: RePEc:bcp:journl:v:9:y:2025:issue-3:p:1303-1315
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    References listed on IDEAS

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    1. Sarfraz Aslam & Abdulelah A. Alghamdi & Nisar Abid & Tribhuwan Kumar, 2023. "Challenges in Implementing STEM Education: Insights from Novice STEM Teachers in Developing Countries," Sustainability, MDPI, vol. 15(19), pages 1-17, October.
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