2022
DOI: 10.1007/s10639-022-10893-0
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Algorithmic thinking development through physical computing activities with Arduino in STEM education

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Cited by 27 publications
(7 citation statements)
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“…This evidence supported the link between curiosity and attitude toward hands-on making, and is consistent with a previous study which revealed a positive correlation when students were involved in making project with a high degree of uncertainty, novelty preference, and dynamic complexity ( Jirout and Klahr, 2012 ). Moreover, the results are supported by other studies which revealed that a positive hands-on attitude contributed to the development of STEM knowledge and skills when searching for or thinking about solutions to problems ( Christensen et al, 2015 ; Sarı et al, in press ).…”
Section: Discussionsupporting
confidence: 81%
“…This evidence supported the link between curiosity and attitude toward hands-on making, and is consistent with a previous study which revealed a positive correlation when students were involved in making project with a high degree of uncertainty, novelty preference, and dynamic complexity ( Jirout and Klahr, 2012 ). Moreover, the results are supported by other studies which revealed that a positive hands-on attitude contributed to the development of STEM knowledge and skills when searching for or thinking about solutions to problems ( Christensen et al, 2015 ; Sarı et al, in press ).…”
Section: Discussionsupporting
confidence: 81%
“…The results showed that STEM-centric physical computing activities improve the algorithmic thinking skills of prospective teachers. Therefore, it can be said that the activities raised the awareness of future teachers about STEM [9].…”
Section: Methodsmentioning
confidence: 99%
“…In one specific example, students utilized a microcontroller and sensors to develop a wearable armband with a 3D-printed enclosure to measure and track elderly residents’ scapulothoracic motion. The sample capstone prototypes demonstrated how CT and biomedical science concepts can be integrated through computational modeling and simulation (Biswas et al, 2019 ; Moallem et al, 2018 ), algorithmic development, and physical computing applications involving Arduino and Raspberry Pi Pico (Sari et al, 2022 ) with sensors, actuators, and robotics (Ching et al, 2019 ). On the open-ended post-survey question, teachers expressed that these presentations helped enhance their understanding of ways in which students will further develop the skills learned in secondary STEM classes to solve authentic cross-cutting problems.…”
Section: Methodsmentioning
confidence: 99%