摘要
文章设计了一个利用大数据技术的个性化学习系统,专门解决教育中的定制化学习需求。这个系统会分析每个学生的学习特点,用智能算法建立个人学习档案,然后自动推荐合适的学习资料和安排学习进度。系统采用分层设计,各模块配合顺畅。实际测试显示,这个系统既能帮学生学得更快,又能让教师教得更好,用户体验也不错,为智能教育提供了可行方案。
The article designs a personalized learning system using big data technology to specifically address the need for customized learning in education.The system analyzes the learning characteristics of each student,builds a personal learning profile with intelligent algorithms,and then automatically recommends appropriate learning materials and schedules learning progress.The system adopts a layered design and the modules work smoothly together.Actual tests show that the system can help students learn faster and teachers teach better,and the user experience is also good,providing a feasible solution for intelligent education.
作者
李骏
LI Jun(Nanchong Vocational and Technical College,Nanchong Sichuan 637131,China)
出处
《信息与电脑》
2025年第12期133-135,共3页
Information & Computer
关键词
教育个性化学习
大数据技术
学习者特征分析
数据挖掘
机器学习
education personalized learning
big data technology
learner characteristics analysis
data mining
machine learning
