AI赋能新工科课程教学的三层架构策略OA
针对新工科背景下机械工程材料与热加工工艺课程知识体系割裂、抽象理论难内化、实践训练不完整的困境,该文构建"数据驱动—场景重构—智能评价"三层AI赋能策略.基于12个模块的学习数据构建动态学习画像,精准定位"焊接热影响区组织转变"等高频错误环节,通过个性化干预方案实现精准教学;开发"微观—中观—宏观"三级虚拟仿真场景,将晶体缺陷、相图计算等抽象内容转化为交互式数字实验,破解可视化教学壁垒;参照工程教育认证OBE理念,构建包含过程性数据、能力增值、课程思政的多元评价体系,形成"诊断—干预—优化"闭环.策略通过数据驱动诊断学情、场景重构破解抽象知识理解壁垒、智能评价强化能力导向培养,突破单一技术叠加模式,实现AI技术与课程"成分—组织—性能—工艺"逻辑的深度耦合.该策略为新工科课程改革提供可复制的理论框架:数据驱动层识别知识缺口,场景重构层创建沉浸式学习环境,智能评价层支撑持续改进.实践路径聚焦动态画像构建、虚实资源开发、多元评价设计,助力培养复杂工程问题解决能力,为同类课程改革提供方法论参考.
In the context of emerging engineering education,facing the dilemmas of the fragmented knowledge system,the difficulty of internalizing abstract theories,and the incomplete practical training in the course of Mechanical Engineering Materials and Thermal Processing Technology,this paper constructs a three-layer AI-enabled strategy of"data-driven,scenario-reconstruction,and intelligent-evaluation".A dynamic learning profile is constructed based on the learning data of 12 modules,precisely locating high-frequency error-prone links such as"microstructural transformation in the heat-affected zone of welding".Precise teaching is achieved through personalized intervention plans.Three-level virtual simulation scenarios of"micro-meso-macro"are developed,transforming abstract contents such as crystal defects and phase diagram calculations into interactive digital experiments,thus breaking through the barriers of visual teaching.Referencing the OBE(Outcome-Based Education)concept of engineering education accreditation,a multi-dimensional evaluation system covering process data,ability increment,and curriculum ideology and politics is constructed,forming a closed-loop of"diagnosis-intervention-optimization".This strategy breaks through the single-technology superposition model by using data-driven diagnosis of learning situations,scenario-reconstruction to break down the barriers to understanding abstract knowledge,and intelligent-evaluation to strengthen ability-oriented cultivation,realizing the deep coupling of AI technology with the logic of"composition-structure-property-process"in the curriculum.This strategy provides a replicable theoretical framework for emerging engineering curriculum reform:the data-driven layer identifies knowledge gaps,the scenario-reconstruction layer creates an immersive learning environment,and the intelligent-evaluation layer supports continuous improvement.The practical path focuses on the construction of dynamic profiles,the development of virtual-real resources,and the design of multi-dimensional evaluations,helping to cultivate the ability to solve complex engineering problems and providing a methodological reference for the reform of similar courses.
王清周;杨勇;孙继兵;杜安
河北工业大学材料科学与工程学院,天津 300401河北工业大学材料科学与工程学院,天津 300401河北工业大学材料科学与工程学院,天津 300401河北工业大学材料科学与工程学院,天津 300401
社会科学
AI教育应用虚拟仿真教学工程教育认证三层赋能逻辑新工科建设
AI application in educationvirtual simulation teachingengineering education accreditationthree-layer enabling logicemerging engineering education construction
《高教学刊》 2026 (28)
35-39,5
河北省省级一流本科课程"机械工程材料与热加工工艺"(冀教高函[2023]84号)河北省教育教学改革研究与实践项目"工学并举,教研相长,校企协同,师生共进——材料类创新人才培养的河北工业大学模式的研究与实践"(2023GJJG051)
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