OBE理念在“智能计算系统”课程中的应用与评估

Application and Evaluation of OBE Concept in the Course of “Intelligent Computing Systems”

摘要: “智能计算系统”研究生课程是培养新时代计算机科学人才的重要课程，其教学内容覆盖基础人工智能算法、智能计算编程语言和框架等前沿领域知识。但存在讲课方式理论讲授与实践脱嵌、列举案例陈旧、教学内容悬浮且缺乏智能计算系统课程本土化实践转化三大问题。引入OBE理念，以“智能计算系统”的技能、融合、创作三维度的预期学习产出目标与对应的课程内容为基础，形成“智能计算系统”课程的理论讲授、案例教学和思政教学方面的三大应用体系，以及对应的教学层面、就业层面与发展层面的三维评估框架，以消解其课程困境，为推动中国自主人工智能教育教学知识体系的建构作出贡献。

Abstract: The graduate course “Intelligent Computing Systems” is a key component in cultivating computer science talent for the new era. Its curriculum covers foundational artificial intelligence algorithms, intelligent computing programming languages, frameworks, and other cutting-edge knowledge. However, the course faces three major challenges: a disconnect between theoretical instruction and practical application, outdated case examples, and content that lacks contextual grounding as well as localized practical transformation. To address these issues, this study introduces the OBE (Outcome-Based Education) and constructs expected learning outcomes along three dimensions—skills, integration, and creation—together with the corresponding course content for Intelligent Computing Systems. Based on these elements, three application systems are developed for the course: theoretical instruction, case-based teaching, and ideological-political education. In addition, a three-dimensional evaluation framework is proposed, covering teaching, employment, and long-term development. This framework aims to overcome existing curricular challenges and contribute to the construction of a self-reliant knowledge system for artificial intelligence education in China.