案例实践教学方法广泛应用于人工智能技术课程教学,但普遍存在学生参与度低、案例“玩具化”现象严重、与实际人才需求脱节等问题。为了解决上述问题,探索了一种以人才市场需求为导向,以学生主动学习为目标,通过项目案例引导的实践教学方法。在典型人工智能技术基础上,通过整合科研项目、国家A类竞赛和企业等多方的需求与资源,设计“基础—进阶—实战”的三层级、全流程项目案例,并采用案例分阶段逐步引导的方式,让学生自主学习课程理论和实践知识,提升学生动手能力的同时,提高学生就业竞争力。

Case-based practical teaching methods are widely used in the teaching of Artificial Intelligence Technology courses, but there are common problems such as low student participation, serious "toy-like" of cases, and disconnection from actual talent demand. To address these issues, this paper explores a project-case-guided practical teaching method oriented by talent market demand and aimed at promoting the subjective initiative of students. Based on typical and currently mainstream artificial intelligence technologies, the method integrates demands and resources from multiple sources, including scientific research projects, national Class-A competitions, and enterprises, to design a three-level, full-process project case system of "basic-advanced-practical". Through phased and step-by-step guidance of cases, it enables students to independently learn theoretical and practical knowledge of the course, enhancing their hands-on abilities while improving their competitiveness in industry employment.