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Information:
华东交通大学土木建筑学院,南昌
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Keywords:
Artificial intelligence; BOPPPS model; Mechanics of Materials; Teaching mode
人工智能; BOPPPS模型; 材料力学; 教学模式
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Abstract:
“Mechanics of Materials” is a core fundamental course for engineering majors, which is characterized by abstract theories, numerous formulas, rigorous logic, strong engineering applicability, massive computational content and high reliance on practical application. Featuring high difficulty and a steep learning curve, the traditional teaching model can hardly balance knowledge imparting, competence cultivation and personalized guidance. Based on the structural advantages of the BOPPPS teaching model and combining the functional characteristics of artificial intelligence (AI) technology in learning analytics, process monitoring and feedback regulation, this paper reconstructs a new teaching mode for the “Mechanics of Materials” course that integrates teaching behavior, learning feedback and cognitive regulation. The study concludes that the introduction of AI technology transforms the BOPPPS model from a linear teaching process into a dynamic regulation mechanism, promotes the shift of teachers’ role from teaching implementers to learning regulators, and enables students to evolve from passive knowledge recipients to active cognitive participants. It also effectively drives the transformation of traditional course teaching from an experience-led mode to a data-driven mode. The reconstructed teaching mode provides a reference pathway for the smart teaching transformation of basic engineering courses.
“材料力学”是工科核心基础课程,具有理论抽象、公式繁多、逻辑严密、工程性强、计算量大、实践依赖度高等显著特征,课程难度大、学习门槛高。传统教学模式难以兼顾知识传授、能力培养与个性化指导。本文基于BOPPPS教学模型具备的结构化优势,结合AI技术在学习分析、过程监控与反馈调节中的功能特征,重构教学行为、学习反馈与认知调节三位一体的“材料力学”课程教学新模式。研究认为,AI技术的引入,使BOPPPS模型由线性教学流程转变为动态调节机制,推动教师角色由教学执行者向学习调控者转变,助力学生由知识接受者向认知参与者转变,并有效推动传统课程教学由经验主导型模式向数据驱动型模式转型,该教学模式重构为工科基础课程的智慧教学转型提供路径参考。
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DOI:
10.35534/es.0805100 (registering DOI)
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Cite:
严荣富.融合AI与BOPPPS模型的“材料力学”课程教学模式重构研究[J].教育研讨,2026,8(5):564-568.