人工智能驱动的“计算机操作系统”课程个性化学习路径研究  

Research on Individualized Learning Path Of Computer Operating System Course Driven By Artificial Intelligence

作　　者：张雪 周丹 姚瑞玲 秦芮 ZHANG Xue;ZHOU Dan;YAO Ruiling;QIN Rui(Xinyang College,Xinyang,Henan 464000,China)

机构地区：[1]信阳学院,河南信阳464000

出　　处：《移动信息》2025年第4期153-155,共3页Mobile Information

基　　金：信阳学院教育教学改革研究项目(NO.2021YJG009)。

摘　　要：针对传统“计算机操作系统”课程教学中存在的学生学习差异问题,文中提出了一种基于人工智能的个性化学习路径优化方法。首先,通过数据挖掘技术分析学生的学习历史和知识掌握情况,构建学生的知识图谱。然后,应用机器学习算法,基于学生的个体特征与学习进度动态调整学习路径,推荐个性化的学习内容。最后,利用智能反馈系统实时评估学习效果并调整学习策略。实验结果表明,采用该方法后,学生的学习成绩提升显著,学习效率提高了20%,有效满足了不同学生的学习需求。Aiming at the problem of students̓learning differences in traditional“computer operating system”course teaching,this paper proposes a personalized learning path optimization method based on artificial intelligence.First,analyze students̓learning history and knowledge mastery through data mining technology to construct students̓Knowledge Graph.Then,apply machine learning algorithms to dynamically adjust learning paths based on students̓individual characteristics and learning progress,and recommend personalized learning content.Finally,use intelligent feedback system to evaluate learning effects and adjust learning strategies in real time.The experimental results show that after adopting this method,students̓academic performance is significantly improved,and their learning efficiency is increased by 20%,effectively meeting the learning needs of different students.

关 键 词：人工智能 个性化学习路径 机器学习 知识图谱 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]