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大学在线教学智能分析的关键技术与展望

Key Technologies and Prospects of Intelligent Analysis of University Online Teaching

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【作者】 唐闺臣梁瑞宇谢跃

【Author】 Tang Guichen;Liang Ruiyu;Xie Yue;School of Information and Communication Engineering, Nanjing Institute of Technology;

【机构】 南京工程学院信息与通信工程学院

【摘要】 人工智能近年来发展迅速,不仅给人们生活带来极大便利,而且在教育教学中发挥重要作用。教师可以利用人工智能技术备课,也可以进行点名、学生状态分析,进而开展教学设计,提升教学水平。尤其是在线上教学中,针对教学双方的教学状态分析已成为当前人工智能技术应用研究的热点。分析了自然语言处理、情绪识别、教育大数据挖掘等技术在在线智能教学系统中的地位和作用,指出了这些技术各自存在的问题,并对未来在线智能教学的发展进行了展望。

【Abstract】 AI(Artificial intelligence) has developed rapidly in recent years. It not only brings great convenience to people’s life, but also plays an important role in education. Teachers can use AI technology not only for lesson preparation, but also for roll call and student state analysis,so as to carry out teaching design and improve teaching level. Especially in online teaching, the analysis of teaching status for both sides has become the focus of current research. The status and role of natural language processing, emotion recognition and educational big data mining in online intelligent teaching system are comprehensively analyzed. Then the existed problems are pointed out, and the development of online intelligent teaching in the future are looked forward.

【基金】 2020年度南京工程学院高等教育研究课题一般课题《在线教学质量的双向智能评价体系及方法研究》(编号:2020YB03)
  • 【文献出处】 中国现代教育装备 ,China Modern Educational Equipment , 编辑部邮箱 ,2022年23期
  • 【分类号】G434;G642
  • 【下载频次】23
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