【摘要】 高校开设的人工智能导论课程面向低年级学生，但课程内容理论性较强，而学生相关基础相对薄弱，实现教学目标存在一定的挑战。因此，本研究提出多层渐进、案例驱动、实践结合的教学设计。首先，在基础理论层次，讲授人工智能的发展逻辑与核心数学基础，培养学生的科学理解与正确认知。其次，在综合体系层次，围绕视觉、音频和多模态等问题驱动内容，引导学生正确地理解人工智能的工程化体系。再次，在应用拓展层次，结合“人工智能+机器人”应用，深化学生对基础理论与综合体系知识的理解。最后，基于多层次的知识，设计实践任务，进一步提高学生理解人工智能的水平，增强其应用能力。教学实践表明，该设计取得了较好的教学效果。更多还原

【Abstract】 The Introduction to Artificial Intelligence course offered by colleges and universities is aimed at lower-grade students. However, the course content is highly theoretical, and students’ relevant foundations are relatively weak, which poses certain challenges in achieving the teaching objectives. Therefore, this study proposes a multi-layered progressive, case-driven, and practice-integrated instructional design. Firstly, at the basic theoretical level, the development logic and core mathematical foundation of Artificial Intelligence are taught to cultivate students’ scientific understanding and correct cognition. Secondly, at the comprehensive system level, the content is driven by issues such as vision, audio, and multimodality, guiding students to correctly understand the engineering system of Artificial Intelligence. Thirdly, at the application expansion level, by integrating the application of "Artificial Intelligence + robots", students’ understanding of basic theories and comprehensive system knowledge can be deepened. Finally, based on multi-level knowledge, practical tasks are designed to further enhance students’ understanding of Artificial Intelligence and strengthen their application abilities. Teaching practice shows that this design has achieved good teaching effects.更多还原