Please login first
AI-Assisted Design of Interactive Physics Simulations: A Case Study on Teaching Ohm's Law in the Scientific Common Core
* 1 , * 1 , * 2 , * 3, 4 , * 1, 5 , * 1
1  Solid-State Physics Laboratory, Faculty of Sciences, Sidi Mohammed Ben Abdellah University, Fez, 30000, Morocco
2  Team of Renewable Energy and Energy Efficiency, Department of Physics, Faculty of Science, University of Moulay Ismail, Meknes, BP 11201, Morocco
3  Materials Engineering for the Environment and Natural Resources Laboratory, Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia, 52000, Morocco
4  Laboratory of Engineering of Organometallic, Molecular Materials and Environment, Faculty of Sciences, Sidi Mohammed Ben Abdellah University, Fez, 30000, Morocco
5  Laboratory of Advanced Materials and Applications (LM2A), Faculty of Sciences, Sidi Mohammed Ben Abdellah University, Fez, 30000, Morocco
Academic Editor: Mike Joy

Abstract:

Digital simulations have become an important resource in physics and chemistry education, enhancing student motivation and facilitating the visualization of abstract scientific phenomena. They also provide a practical alternative when laboratory equipment is unavailable. This study explores the integration of artificial intelligence (AI), specifically Google AI Studio, to design an interactive simulation illustrating Ohm’s Law for students in the Scientific Common Core of the Moroccan educational curriculum. The simulation includes an interactive circuit visualization, adjustable voltage and resistance parameters, automatic graph generation, virtual measurement tools, and real-time observation of the linear relationship between voltage and current.

To evaluate its pedagogical effectiveness, a comparative study was conducted with two groups of students: an experimental group using the AI-assisted simulation and a control group receiving traditional instruction. Learning outcomes were assessed through a quiz administered after the instructional session. Results showed that the simulation group achieved an average score of 80%, compared to 50% for the control group. Students using the simulation also demonstrated a stronger conceptual understanding and improved graph interpretation skills. These findings suggest that AI-generated simulations can significantly enhance physics learning, particularly in contexts with limited laboratory resources, while also encouraging teachers to shift from being mere users of AI technology to innovators and designers who create and adapt AI-supported learning experiences that deepen students’ understanding.

Keywords: Digital simulations ; student motivation ; Ohm’s Law ; artificial intelligence ; Google AI Studio ; physics education in Morocco.

 
 
Top