摘要
随着人工智能技术及“互联网+教育”理念的不断发展,学习资源数字化和教育资源知识库构建显得尤为重要。对学科知识框架进行梳理、总结、归纳、分析,可帮助学生迅速掌握课程知识要点。文中对文本类学习资源引入深度学习理论和自然语言处理方法,挖掘教育资源数据的潜在价值,研究教育资源数据整合方法,以可视化知识要点方式辅助学生提高学习结果。
With the development trend of artificial intelligence technology and the concept of“Internet plus education”,it is particularly important to reach learning resource digitalization and build knowledge base of educational resources.Students can grasp the key points of the knowledge as soon as possible by summarizing and analyzing the knowledge framework.This paper introduces deep learning theory and natural language processing method to excavate the potential value of educational resource data,study the integration method of educational resource data,and assists students to improve their learning results by visualizing knowledge points.
作者
汗古丽·力提甫
杨勇
任鸽
HANGULI·Litifu;YANG Yong;REN Ge(School of Computer Science and Technology,Xinjiang Normal University,Urumqi 830000,China)
出处
《信息技术》
2021年第9期13-18,共6页
Information Technology
基金
新疆维吾尔自治区教学改革与研究项目(ZJG2019-11)。