Presentation Information
[1A04]Designing AI-Assisted Learning for Electric Power Calculation ExercisesA Proposed Transformation Process from "I Can't" to "Let's Change My Approach"
ryota NAGANOMA1, ○Norikatsu Fujita1, Takuo KIKUCHI1, Jyunko Handa1, Hiroshi TAKESHITA2 (1. The Polytechnic University of Japan, 2. Tsukuba University of Technology)
Keywords:
Generative AI,Power Engineering Education,Causal Attribution Theory,Both-side Hesitation,Self-Regulated Learning
To break the psychological and behavioral gridlock in engineering education's power calculation exercises, this study proposes an AI-assisted learning model based on the Response to Intervention (RTI) framework. Integrating AI as primary support and the instructor as secondary support, the model redefines student difficulties from an innate lack of ability to a remediable shortage of learning strategies. This approach aims to transform students' cognitive resignation ("I can't") into adaptive, self-regulated problem-solving behaviors ("let's change my approach").
