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The Development of Internet of Things Learning Kit to Enhancing Programming Skills for High School Students

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Innovative Technologies and Learning (ICITL 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13117))

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Abstract

The purpose of this research was the development of internet of things learning kit to enhancing programming skills for high school students. The research methodology is pre-experimental design. The research participants consisted of 9 experts in 3 domains – 3 experts in content in computer programming content, 3 experts in learning media designer, 3 experts in designing constructivist learning environments, and 68 students in high school of Demonstration School of Khon Kaen University Secondary School. The research instruments are the expert review recording for examining the quality in 3 domains as follows: learning contents, learning media, and instructional design and the questionnaire form to studying learner’s preference learning experience about the internet of things learning kit to enhancing programming skills. The results revealed that: The internet of things learning kit to enhancing programming skills for high school students were 8 elements as follows: 1) Problem base, 2) Resource, 3) Cognitive tools, 4) Collaboration, 5) Programming Problem Solving Center, 6) Scaffolding, 7) Programmer Community, and 8) Programming Coaching Room. The result of experts’ reviews the efficiency of internet of things learning kit to enhancing programming skills was 81.20% and the results of the learner’s preference about learning experience using the internet of things learning kit to enhancing programming skills was 75.96% with were higher than the specified criterion as 70%.

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Correspondence to Issara Kanjug .

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Moeikao, N., Jarungsirawat, N., Kanjug, I., Samat, C. (2021). The Development of Internet of Things Learning Kit to Enhancing Programming Skills for High School Students. In: Huang, YM., Lai, CF., Rocha, T. (eds) Innovative Technologies and Learning. ICITL 2021. Lecture Notes in Computer Science(), vol 13117. Springer, Cham. https://doi.org/10.1007/978-3-030-91540-7_44

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  • DOI: https://doi.org/10.1007/978-3-030-91540-7_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91539-1

  • Online ISBN: 978-3-030-91540-7

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