人工智能背景下《计算机组成原理》课程教学改革探索
Exploration of Teaching Reform of the “Computer Organization Principles” Course in the Context of Artificial Intelligence
DOI: 10.12677/ces.2025.137512, PDF,   
作者: 张桂莲:中南林业科技大学涉外学院信息与工程学院,湖南 长沙
关键词: 人工智能计算机组成原理教学改革Artificial Intelligence Computer Organization Principles Teaching Reform
摘要: 随着人工智能技术的迅猛发展,计算机组成原理课程的教学面临着新的机遇与挑战。文章深入探讨了在人工智能背景下,计算机组成原理课程教学目标、教学内容、教学方法以及教学评价等方面的改革思路与实践。通过引入人工智能相关案例、实验和技术,旨在激发学生的学习兴趣,提高其解决复杂问题的能力,培养适应人工智能时代需求的计算机专业人才。
Abstract: With the rapid development of artificial intelligence (AI) technology, the teaching of the Computer Organization Principles course is facing new opportunities and challenges. This paper delves deeply into the reform ideas and practices regarding the teaching objectives, teaching content, teaching methods, and teaching evaluation of the Computer Organization Principles course in the context of AI. By introducing AI-related cases, experiments, and technologies, the aim is to stimulate students’ learning interest, enhance their ability to solve complex problems, and cultivate computer professionals who can meet the needs of the AI era.
文章引用:张桂莲. 人工智能背景下《计算机组成原理》课程教学改革探索[J]. 创新教育研究, 2025, 13(7): 170-175. https://doi.org/10.12677/ces.2025.137512

参考文献

[1] 刘昆. “计算机组成原理”中信息校验码的探讨[J]. 科技视界, 2012(32): 34.
[2] 任庆桦, 陈梓翔, 潘雨青. OBE理念的计算机组成原理课程教学改革探析[J]. 电脑知识与技术, 2024, 20(27): 139-141, 145.
[3] 吴建新, 夏景圆, 王锡胜舜, 戴高乐, 钟祎. 基于忆阻器-CMOS的典型组合逻辑电路设计[J]. 华中科技大学学报(自然科学版), 2025, 5(3): 127-134.
[4] 施羽暇. 人工智能芯片技术研究[J]. 电信网技术, 2016(12): 3.
[5] 黄沛昱, 赵强, 李煜龙. 基于FPGA的卷积神经网络硬件加速器设计[J]. 计算机应用与软件, 2023, 40(3): 38-44.
[6] 王攀科, 赵云. 医工融合背景下计算机组成原理课程混合式教学实践探索[J]. 大学, 2024(26): 95-98.