| 张莉,尹洁昕,杨宾.AI技术融入系列课程体系化教学探究——以信号类专业基础课程群为例[J].军事高等教育研究,2025,48(3):53-57,107 |
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| AI技术融入系列课程体系化教学探究——以信号类专业基础课程群为例 |
| Research on the Systematic Integration of AI Technology into Curriculum Systems—A Case Study of Foundational Signal Processing Course Clusters |
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| DOI：10.3969/j.issn.2097-4043.2025.03.007 |
| 中文关键词: AI技术 课程群 体系化教学 |
| Key Words:AI technology course cluster systematic teaching |
| 基金项目: |
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| 摘要点击次数: 10 |
| 全文下载次数: 10 |
| 中文摘要: |
| 为提高学生信号分析处理能力的培养实效，探索实践了信号类专业基础课程群的体系化教学。教学方案按照一体化设计思路，建立能力目标矩阵明确课程定位，提炼核心知识厘清主干脉络，通过AI问答贯通知识体系助思辨、AI代码生成弥补能力差距促理解、细粒度考评结合定性经验提精度三项主要举措，实现教师增量教学和学生分级训练。在课程教学实践中，体系化教学加强了课程间的相互支撑，提升了学生的能力培养成效。 |
| Abstract: |
| In order to improve the practical effectiveness of cultivating students’signal analysis and processing capabilities，this study explores and implements systematic teaching in foundational signal processing course clusters. The teaching plan follows an integrated design philosophy，establishing a competency goal matrix to clarify the positioning of courses and refining core knowledge to delineate the main framework. Through three key measures—using AI Q&A to connect knowledge systems for facilitating critical thinking，AI code generation to bridge ability gaps for better understanding，and fine-grained evaluation combined with qualitative experience to improve precision—it achieves incremental teaching for teachers and graded training for students. In the teaching practice，systematic teaching strengthens the mutual support between course and improves the effectiveness of cultivating students’abilities. |
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