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Low-Cost Entry-Level Educational Drone with Associated K-12 Education Strategy

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Intelligent Human Computer Interaction (IHCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13741))

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Abstract

Recent advancements in robotic technologies have boosted new robot applications to perform many tasks that used to be limited to humans. Given this trend towards the ubiquity of robotics in day-to-day life, demand for professionals with expertise in robot development and maintenance is highly expected to increase. It is essential that such talents be fostered in future generations at an early age in order to meet this demand. However, several challenges arise in trying to accomplish this mission. First of all, it might be difficult to hold children’s attention when teaching them a new or potentially challenging subject, especially when the subject is not attractive for them. In addition, lack of mathematical understanding, which can make it challenging to comprehend key principles, is another problem with robotics teaching at young ages. In this paper, we propose a highly-accessible drone design and an accompanying education strategy, which, together, can alleviate the aforementioned problems. The major goals of the developed drone are to remain affordable as well as to enhance students’ attention and motivation while maintaining a high level of functionality and safety. In the proposed educational strategy, students will be divided into four different levels; each level will have its own procedure to enable educators to integrate robotics into existing curricula. At each level, moreover, students will learn increasingly more complex robotics subjects by interacting with the drone through a user-friendly visual coding interface.

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Correspondence to Jong-Hoon Kim .

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Wimer, B., Dannemiller, J., Mahmud, S., Kim, JH. (2023). Low-Cost Entry-Level Educational Drone with Associated K-12 Education Strategy. In: Zaynidinov, H., Singh, M., Tiwary, U.S., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2022. Lecture Notes in Computer Science, vol 13741. Springer, Cham. https://doi.org/10.1007/978-3-031-27199-1_32

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  • DOI: https://doi.org/10.1007/978-3-031-27199-1_32

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-27199-1

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