智能场景驱动的智能开发课程教学创新研究

Research on Teaching Innovation in Intelligent Development Courses Driven by Intelligent Scenarios

摘要: 针对高校智能开发类课程存在的语言中心化、课赛分离及工程能力培养不足等问题，本文围绕课赛融合与人机协同驱动，提出面向系统构造能力培养的课程重构方案。首先，构建“计算表达–系统构造–智能实现”三层能力递进模型，优化课程目标结构；其次，以智能应用场景为主线，融合竞赛问题范式重组教学内容，实现课堂学习与算法训练的协同推进；同时设计贯穿学期的渐进式系统开发任务链，引入大模型辅助编程机制，形成“生成–审辨–优化–验证”的人机协同闭环。通过阶段性竞赛强化与工程化评价方式，促进基础能力、算法能力与系统实现能力的协同提升。实践表明，该体系有效增强了学生的复杂问题建模与系统构建能力。

Abstract: To address the issues of language-centered instruction, separation between coursework and competitions, and insufficient cultivation of engineering competence in intelligent development courses at universities, this study proposes a curriculum reconstruction framework oriented toward system construction capability, driven by course-competition integration and human-AI collaboration. First, a three-level progressive capability model—“computational expression, system construction, and intelligent implementation”—is established to optimize the structure of course objectives. Second, teaching content is reorganized around intelligent application scenarios, integrating competition-style problem paradigms to align classroom learning with algorithmic training. Meanwhile, a semester-long progressive system development task chain is designed, together with a large-model-assisted programming mechanism, forming a human-AI collaborative loop of “generation-analysis-optimization-validation”. Through staged competition reinforcement and an engineering-oriented evaluation approach, the reform promotes the coordinated development of foundational skills, algorithmic competence, and system implementation ability. Practice demonstrates that the proposed framework effectively enhances students’ abilities in complex problem modeling and system construction.