面向认知深化与能力建构的Web可视化教学模式探索——以《自动控制原理》课程为例

Exploration of a Web-Based Visualization Teaching Model Oriented toward Cognitive Deepening and Capacity Building—Taking the Course of “Automatic Control Principles” as an Example

摘要: 针对《自动控制原理》课程理论抽象、实践联系不足及课堂互动薄弱等问题，本文构建了一种面向认知深化与能力建构的Web可视化教学模式。该模式利用Web技术的开放性，融合生成式人工智能、知识图谱与大数据分析，形成多模态智慧教学体系。通过知识分层与可视化重构，借助动态仿真与三维呈现强化数学模型与物理现象的关联；基于BOPPPS理念设计“引导、演示、互动和反馈”闭环流程，支持师生协同与探究式学习；依托全周期数据采集构建过程性评价机制。该模式促进课堂向“学生中心”转型，提升工程直觉、系统思维与复杂问题解决能力。

Abstract: To address the challenges in the “Automatic Control Principles” course—namely abstract theory, weak connection to engineering practice, and insufficient classroom interaction—this study develops a Web-based visualization teaching model oriented toward cognitive deepening and capability building. Leveraging the openness of Web technologies, the model integrates generative AI, knowledge graphs, and big-data analytics to form a multimodal intelligent teaching framework. Through hierarchical knowledge organization and visual reconstruction, dynamic simulations and 3D rendering are used to strengthen the connection between mathematical models and physical phenomena. Following the BOPPPS framework, a closed-loop process of “guidance, demonstration, interaction, and feedback” is designed to support collaborative and inquiry-based learning. In addition, a process-oriented evaluation mechanism is established through full-cycle data collection. This model facilitates a shift from a teacher-centered to a student-centered classroom, enhancing students’ engineering intuition, systems thinking, and ability to solve complex engineering problems.