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How Multiple Representations Using Cyber–Physical System to Teach Rectilinear Motion Improves Learning and Creativity

Bibliographic Data

ID22044079
AuthorsVictoria Guentulle (Pontificia Universidad Católica de Chile, corresponding author), Rodolfo Muñoz (Pontificia Universidad Católica de Chile), Rodolfo I Muñoz (Pontificia Universidad Católica de Chile), Miguel Nussbaum (0000-0001-5617-5983, Pontificia Universidad Católica de Chile), Leonardo Madariaga (0000-0001-9338-5840, Federico Santa María Technical University)
Year2024
Volume14
Issue3
Pages293
Publication date2024-03-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci14030293
OpenAlexW4392646013
LanguageEN
Citations received3
References cited40

Learning physics can be seen by many as a problem, as the standard method of learning tends to focus on remembering and using concepts that fail to construct meaning. To overcome this problem in teaching rectilinear motion, we implemented multiple representations using a cyber–physical system that enables interaction between a physical model and the real world. We did so by using a microcomputer system housed inside a ball, including motion and force sensors. This system communicated with the teacher’s laptop in order to display the corresponding data via a projector. The study was conducted with 49 tenth-grade students across five sessions on rectilinear motion. Using a pre- and post-test, we observed that the experimental group performed significantly better than the control group, both in terms of learning as well as in the development of creativity (fluency and flexibility). With guidance from the teacher, the multiple representations allowed the students to improve their learning and creativity by connecting various forms of representation. In other words, the students were able to connect both abstract and concrete views through a real-world, physical experience. Our study reveals the potential of cyber–physical systems within the teaching–learning process for physics, specifically rectilinear motion, and how such a system supports multiple representations

Cognitive psychology · Creativity · Cyber-physical system · Human–computer interaction · Mathematics education · Multimedia · Teaching method · Computer Science · Experimental Learning in Engineering · Innovative Teaching Methods · Psychology · Social Psychology · Teaching and Learning Programming · Artificial Intelligence

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Unique citing works3
Citations per year1.5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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