Educational Technology for High School Physics: Fostering Computational Literacy
POSTER
Abstract
The urgent need to integrate fundamental programming skills into secondary education is shown through the emerging role of computational methods in contemporary physics and broader STEM research. This abstract proposes leveraging educational technology to integrate coding (e.g., Python, MATLAB) within high school physics curricula, moving beyond traditional concepts and equipping students with essential skills for careers in STEM. A foundational understanding of programming is now a prerequisite for students to thrive in the modern academic and professional landscape. Introducing coding allows students to engage with physics in a more interactive and engaging manner, preparing them for higher-level studies and cutting-edge research.
My proposed project-based learning model, ideally implemented in the latter half of the academic year, allows students to apply their accumulated physics knowledge. This integration commences with a focused, introductory "crash course" in a chosen programming language. The end goal is not a comprehensive mastery of the programming language, but instead having students utilize technology as a tool for deeper engagement with physical principles. This practical application of educational technology fosters a more interactive and relevant learning experience for students, making often strictly conceptual topics more approachable.
This framework facilitates diverse and engaging "passion projects." For instance, students could develop sophisticated simulations of physical systems, model complex phenomena, or even explore fields like quantum computing using accessible libraries such as Qiskit. Such hands-on computational projects serve as powerful catalysts for student engagement, transforming abstract theories into tangible experiences and potentially inspiring students to pursue scientific research paths that extend beyond typical introductory physics. This strategic integration of programming cultivates computational literacy, significantly enhances student engagement, and effectively prepares them for the computational demands of the professional STEM world, fostering a generation of computationally adept scientists.
My proposed project-based learning model, ideally implemented in the latter half of the academic year, allows students to apply their accumulated physics knowledge. This integration commences with a focused, introductory "crash course" in a chosen programming language. The end goal is not a comprehensive mastery of the programming language, but instead having students utilize technology as a tool for deeper engagement with physical principles. This practical application of educational technology fosters a more interactive and relevant learning experience for students, making often strictly conceptual topics more approachable.
This framework facilitates diverse and engaging "passion projects." For instance, students could develop sophisticated simulations of physical systems, model complex phenomena, or even explore fields like quantum computing using accessible libraries such as Qiskit. Such hands-on computational projects serve as powerful catalysts for student engagement, transforming abstract theories into tangible experiences and potentially inspiring students to pursue scientific research paths that extend beyond typical introductory physics. This strategic integration of programming cultivates computational literacy, significantly enhances student engagement, and effectively prepares them for the computational demands of the professional STEM world, fostering a generation of computationally adept scientists.
Presenters
-
Armita Ahmed
Scarsdale High School
Authors
-
Armita Ahmed
Scarsdale High School