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Dance and Robots: Designing a Robotics-Enhanced Project for Dance-Based STEAM Education Using ENGINO

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Education in & with Robotics to Foster 21st-Century Skills (EDUROBOTICS 2021)

Abstract

The emerging domain of robotics provides a creative tool for engaging young children with the engineering and artistic components of STEAM. Educational activities based on dance can captivate student interest in arts while exploring foundational technological ideas. The paper describes vignettes of dance-based activities utilizing the ENGINO E30 kit. The objective of this work is to explore ways to use a robotic kit to create a science-art integrative STEAM project, named DancENG. The DancENG project has been designed by creatively integrating dance, music, engineering, and math concepts, aiming to cultivate aesthetic sensitivity in parallel with problem-solving and engineering-thinking skills of elementary school students. It has been implemented to 20 5th graders of a Greek elementary school to indicate the practical use of the framework.

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Notes

  1. 1.

    https://www.engino.com/.

  2. 2.

    The “PRO 2.0 controller” offers also other interconnected ways of programming, code, flow diagram, etc. for more advanced programming based on the children’s age and experience.

  3. 3.

    Greek Curriculum – Primary School – Mathematics: https://repository.edulll.gr/1926.

  4. 4.

    The teacher had previous experience with STEAM-related teaching (dance and math), but if it is possible, a multi-disciplinary team of educators is also proposed.

  5. 5.

    https://inbots.eu/.

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Acknowledgment

This work has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 780073 (project INBOTS CSA).

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Correspondence to Sofia Almpani .

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Almpani, S., Almisis, D. (2021). Dance and Robots: Designing a Robotics-Enhanced Project for Dance-Based STEAM Education Using ENGINO. In: Malvezzi, M., Alimisis, D., Moro, M. (eds) Education in & with Robotics to Foster 21st-Century Skills. EDUROBOTICS 2021. Studies in Computational Intelligence, vol 982. Springer, Cham. https://doi.org/10.1007/978-3-030-77022-8_13

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