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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: © 2022 |Pages: 25
ISBN13: 9781668424117|ISBN10: 1668424118|EISBN13: 9781668424124
DOI: 10.4018/978-1-6684-2411-7.ch022
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MLA

Bampasidis, Georgios, et al. "Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities." Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom, edited by Information Resources Management Association, IGI Global, 2022, pp. 442-466. https://doi.org/10.4018/978-1-6684-2411-7.ch022

APA

Bampasidis, G., Galani, A., & Koutromanos, G. (2022). Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities. In I. Management Association (Ed.), Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom (pp. 442-466). IGI Global. https://doi.org/10.4018/978-1-6684-2411-7.ch022

Chicago

Bampasidis, Georgios, Apostolia Galani, and George Koutromanos. "Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities." In Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom, edited by Information Resources Management Association, 442-466. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-2411-7.ch022

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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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