CircuTutor：将静态电路问题转化为智能动态辅导

中文摘要 AI 辅助

学习直流电路概念要求学习者将不可见的物理量（如电流、电压、电阻和功率）与可观察的结果（如灯泡亮度）联系起来。传统的教科书材料和通用电路模拟器为问题解决和探索提供了机会，但在解释电路行为为何变化或诊断错误答案背后的推理方面支持有限。我们提出了CircuTutor，一个电路状态驱动的智能辅导系统，将静态的教科书电路问题转化为交互式辅导工作流程。CircuTutor首先使用多模态问题解析来提取教科书问题、电路拓扑、元件参数、开关状态和答案选项，这些被转换为结构化任务并通过电路模拟进行验证。学习者随后可以交互式地探索电路（通过更改参数）并提交答案，同时一个兼容SPICE的求解器计算物理上一致的电路状态。在学习者提交答案后，CircuTutor呈现与所选操作对应的前后电路状态动画，将模拟的状态变化组织成解释潜在电路行为的因果推理链，将答案差异映射到可能的误解，并生成针对所诊断误解的自适应后续练习。我们的实验结果表明，CircuTutor有效提高了概念学习和整体学习体验。所提出的框架展示了如何将模拟电路状态转化为电路教育的智能交互式辅导，并具有推广到其他STEM领域的潜力。

英文摘要

Learning direct current circuit concepts requires learners to connect invisible physical quantities, such as current, voltage, resistance, and power, with observable outcomes such as bulb brightness. Conventional textbook materials and general-purpose circuit simulators provide opportunities for problem solving and exploration but offer limited support for explaining why circuit behavior changes or diagnosing the reasoning behind incorrect answers. We present CircuTutor, a circuit-state-driven intelligent tutoring system that transforms static textbook circuit problems into an interactive tutoring workflow. CircuTutor first uses multimodal problem parsing to extract the textbook question, circuit topology, component parameters, switch states, and answer options, which are converted into a structured task and validated through circuit simulation. Learners can then interactively explore the circuit (by changing parameters) and submit an answer while a SPICE-compatible solver computes physically consistent circuit states. After the learner submits an answer, CircuTutor presents a before-and-after circuit state animation corresponding to the selected operation, organizes the simulated state changes into a causal reasoning chain that explains the underlying circuit behavior, maps answer discrepancies to likely misconceptions, and generates adaptive follow-up exercises targeted at the diagnosed misconception. Our experimental results demonstrate that CircuTutor effectively improves conceptual learning and the overall learning experience. The proposed framework demonstrates how simulated circuit states can be transformed into intelligent and interactive tutoring for circuit education, with the potential to generalize to other STEM domains.

发表机构

• Beijing Technology and Business University（北京工商大学）

机构由 AI 辅助整理，请以论文原文为准。