人工智能与系统思维双驱动下系统工程课程跨学科教学改革探索

Exploration of Interdisciplinary Teaching Reform in Systems Engineering Driven by Artificial Intelligence and Systems Thinking

摘要: 针对系统工程课程中系统思维训练碎片化、人工智能技术与课程衔接不足、跨学科协同欠缺等问题，本文提出以系统思维引导问题界定、以智能方法支持建模决策的“双驱动”教学改革理念，依托学科融合、理实融合、素养融合，构建“一个核心、两条主线、三层能力、四维支撑”的总体框架，从重构课程教学体系、融合创新教学模式、建设阶梯化实践体系、完善多元化评价机制四个方面推进改革，并从教师协同、资源平台、持续评价等实施保障。

Abstract: Systems engineering courses face fragmented systems-thinking training, insufficient alignment between AI technologies and the curriculum, and a lack of interdisciplinary collaboration. Addressing these problems, this paper proposes a “dual-driven” teaching reform philosophy in which systems thinking guides problem framing while intelligent methods support modeling and decision-making. Through the integration of disciplines, theory and practice, and competencies, it constructs an overall framework of “one core, two main lines, three levels of competency, and four-dimensional support”, and advances the reform along four dimensions: reconstruction of curriculum content, integrated innovation of the teaching model, tiered construction of the practice system, and diversified improvement of the evaluation mechanism, backed by implementation safeguards including faculty coordination, resource platforms, and continuous evaluation.