大模型在数字电子技术混合教学中的应用
Application of Large Models in Digital Electronic Technology Hybrid Teaching
DOI: 10.12677/ces.2025.139688, PDF,    科研立项经费支持
作者: 王全辉, 刘焕炫, 刘诗雨:岭南师范学院计算机与智能教育学院,广东 湛江
关键词: 人工智能大模型数字电子技术教育改革混合教学Artificial Intelligence Large Models Digital Electronic Technology Educational Reform Hybrid Teaching
摘要: 数字电子技术是高等教育计算机类专业的核心课程,对激发学生的技术理解和创新思维至关重要。人工智能在数字电子技术教育中展现了其独特价值。其中大模型通过自然语言处理能力,为学生提供互动学习环境,有效提升教学效率和学习的参与性。本文聚焦于探索大模型在数字电子技术教育中的应用及其推动教育改革的潜能,旨在研究它如何提高教学质量和深化学生理解,同时探讨其对教师角色的影响,以期揭示其在现代教育体系中的融合方式,展现其在培养具备深厚数字技术素养的人才方面的能力。
Abstract: Digital electronic technology is a core course for computer science majors in university education, which is crucial for stimulating students’ technical understanding and innovative thinking. Artificial intelligence has shown its unique value in digital electronic technology education. Among these, large models, with their natural language processing capabilities, provide an interactive learning environment for students, effectively improving teaching efficiency and student engagement. This paper focuses on exploring the application of large models in digital electronic technology education and their potential in driving educational reform. It aims to investigate how they can enhance teaching quality and deepen students’ understanding while discussing their impact on the role of teachers, with the goal of revealing their integration within the modern education system and showcasing their ability to cultivate talents with strong digital technology literacy.
文章引用:王全辉, 刘焕炫, 刘诗雨. 大模型在数字电子技术混合教学中的应用[J]. 创新教育研究, 2025, 13(9): 202-212. https://doi.org/10.12677/ces.2025.139688

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