Abstract
This study uses learn, use, practice, design, apply/analyze (LUPDA) theory to combine science, technology, engineering, art, and math (STEAM) and computational thinking (CT) concepts to develop assessment principles. The STEAM teaching activity designs and implements an artificial intelligence (AI) webcam game with micro:bit technology, AI computer vision, and deep learning techniques to recognize the user’s hand gestures via webcam. The game in our teaching experiment which can automatically interpret the user’s gestures as scissors, stone, or cloth through the webcam, and then automatically react to the user through a motor. Finally, this study proposes a set of relevant assessment principles based on STEAM, LUPDA theory, and CT concepts.
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References
Pimthong, P., Williams, J.: Preservice teachers’ understanding of STEM education. Kasetsart J. Soc. Sci. (2018)
Swaid, S.I.: Bringing computational thinking to STEM education. Procedia Manufact. 3, 3657–3662 (2015)
Hsu, T.-C., Chang, S.-C., Hung, Y.-T.: How to learn and how to teach computational thinking: suggestions based on a review of the literature. Comput. Educ. 126, 296–310 (2018)
Malizia, A., Fogli, D., Danesi, F., Turchi, T., Bell, D.: TAPASPlay: a game-based learning approach to foster computation thinking skills. In: 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp. 345–346. IEEE (2017)
GMII.TW. http://www.gmii.tw/gmiiblog/6031322. Accessed 2020
Acknowledgement
Funding for the study was provided by the Ministry of Science and Technology (MOST), Taiwan, under Grant number: MOST 108-2511-H-142 -007 -MY2.
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Wu, CH., Huang, YM. (2020). Integration of LUPDA Theory and STEAM with Computational Thinking Concepts to Develop Assessment Principles for an AI Based STEAM Activity. In: Huang, TC., Wu, TT., Barroso, J., Sandnes, F.E., Martins, P., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2020. Lecture Notes in Computer Science(), vol 12555. Springer, Cham. https://doi.org/10.1007/978-3-030-63885-6_31
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DOI: https://doi.org/10.1007/978-3-030-63885-6_31
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