Volume: 3 Issue: Special Issue 1
Year: 2026, Page: 149-156, Doi: https://doi.org/10.70372/jeltp.v3.sp1.21
Teaching electric circuit analysis to first-year engineering students is challenging due to the abstract nature of its concepts, which often lack immediate real-world connections. This paper describes an effective pedagogical practice that integrates artificial intelligence (AI)-generated analogies, real-life examples, and storytelling to simplify foundational ideas such as resistance, inductance, capacitance, and circuit theorems. Using ChatGPT, customized analogies and narratives were generated and embedded into lectures, offering students relatable and memorable pathways to conceptual understanding. The practice also incorporated historical scientific stories, such as the War of Currents and Faraday’s discovery of induction, to contextualize theoretical content within technological and societal development. Quantitative evidence from internal assessments demonstrated a significant improvement of 14% in conceptual test scores compared to the previous group, along with higher student engagement levels documented through a structured perception survey (n = 43 out of 65). The approach is positioned as a practical and replicable enhancement of traditional pedagogy through AI assistance. Implementation details, prompts, workflow, lesson plans, and assessment rubrics are provided to support replication by other instructors. The practice demonstrates how AI tools, when used judiciously and pedagogically aligned, can strengthen foundational learning in engineering education.
Keywords: AI-assisted teaching; analogies; storytelling pedagogy; circuit analysis; engineering education
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D Kavitha. Strengthening Foundations in Electric Circuit Analysis through AI-Generated Analogies, Real-Life Examples, and Storytelling Pedagogy. Journal of Effective Teaching and Learning Practices. 2026;3(Sp1):149-156