生成式AI在《信息理论与编码》教学中的应用探索

The Application of Generative AI in the Teaching of “Information Theory and Coding”

摘要: 《信息理论与编码》课程教学存在理论抽象且学生难理解等情况，本文对此进行了探索，找出了融合人工智能辅助工具的教学改革模式，这一模式以建构主义理念为基础，构建起动态案例库和交互式代码框架，把信道容量、卷积编码这些抽象理论知识变成可操作的工程实践任务，从而引导学生进行探究式和协作式学习，在教学实践中，这种方法在信道建模、编码仿真与可视化分析等环节对学生有很强的支持力，使学生的工程应用能力和批判性思维得到很大提升，并且课程也重视融入科技伦理教育，让学生反思技术使用时的责任，这一研究成果可为工程类专业课程教学创新提供实践参考。

Abstract: The course of “Information Theory and Coding” faces challenges such as theoretical complexity and difficulty for students to master. This study proposes a teaching strategy using artificial intelligence to address these challenges. Based on constructivist thinking, through dynamic case libraries and interactive programming frameworks, theoretical concepts such as channel capacity and convolutional coding are transformed into hands-on engineering activities, promoting students to engage in exploratory and collaborative learning. Educational practice has shown that this strategy can achieve good results in channel construction, coding simulation, and visual analysis for students, enhance their personal engineering technology application ability and critical thinking ability, and focus on cultivating technological ethics in the teaching process, allowing students to deeply think about the responsibility of technology application. This research result can be used as a reference for teaching reform in other engineering courses.