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Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities

Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities

Georgios Bampasidis, Apostolia Galani, George Koutromanos
Copyright: © 2021 |Pages: 25
ISBN13: 9781799867173|ISBN10: 179986717X|ISBN13 Softcover: 9781799867180|EISBN13: 9781799867197
DOI: 10.4018/978-1-7998-6717-3.ch013
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MLA

Bampasidis, Georgios, et al. "Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities." Handbook of Research on Using Educational Robotics to Facilitate Student Learning, edited by Stamatios Papadakis and Michail Kalogiannakis, IGI Global, 2021, pp. 327-351. https://doi.org/10.4018/978-1-7998-6717-3.ch013

APA

Bampasidis, G., Galani, A., & Koutromanos, G. (2021). Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities. In S. Papadakis & M. Kalogiannakis (Eds.), Handbook of Research on Using Educational Robotics to Facilitate Student Learning (pp. 327-351). IGI Global. https://doi.org/10.4018/978-1-7998-6717-3.ch013

Chicago

Bampasidis, Georgios, Apostolia Galani, and George Koutromanos. "Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities." In Handbook of Research on Using Educational Robotics to Facilitate Student Learning, edited by Stamatios Papadakis and Michail Kalogiannakis, 327-351. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-6717-3.ch013

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Abstract

The aim of this study was to explore the development of pre-service primary school teachers' STEM skills with Raspberry Pi activities. Data were collected from 16 pre-service teachers through semi-constructed interviews, reports, and a questionnaire. The results of the qualitative analysis showed that the participants developed the STEM skills mentioned in the literature such as confidence, computing, problem-solving, creativity, technological skills, and enhanced the learning potential of robotics. Moreover, the ready-to-use Python codes on Raspberry Pi platform could be an effective strategy for pre-service teachers with lack of programming to provide solutions on real-world problems. In addition, the participants successfully connected the Raspberry Pi, sensor kits, and Python scripts with real-world problems. This equipment motivated them to transpose a real-world problem to school knowledge. According to the results the combination of Raspberry Pi, sensors, and Python helped the participants upskill in computing.

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