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人工智能技术在高等院校线上教学过程中的应用研究 被引量:5

Research on Application of Artificial Intelligence Technology in the Process of Online Teaching in Colleges
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摘要 线上教学是教育教学的一种重要模式,学习者能够随时随地开展学习活动。先进的人工智能技术在高等院校线上教学过程中的应用对该领域的发展起到了至关重要的作用。通过深入分析高等院校线上教学的现状及特点,结合人工智能技术的发展,探讨现有人脸表情识别等先进的人工智能技术在高等院校线上教学过程中的应用模式,以促进人工智能技术在线上教学中的不断发展,进一步提升线上教学的教学效果。 Online teaching is an important mode of education and teaching,and learners can carry out learning activities anytime and anywhere.The application of advanced artificial intelligence technology in the process of online teaching in colleges plays an important role in the development of this field.Through in-depth analysis of the current situation and characteristics of online teaching in colleges,combined with the development of artificial intelligence technology,this paper explores the application mode of the existing advanced artificial intelligence technology such as facial expression recognition in the process of online teaching in colleges,so as to promote the continuous development of artificial intelligence technology in online teaching and further improve the effect of online teaching.
作者 孙明思 SUN Mingsi(College of Electrical and Information Engineering,Jilin Agriculture Science and Technology College,Jilin 132101,China)
出处 《长春大学学报》 2022年第2期105-108,共4页 Journal of Changchun University
基金 吉林省高等教育学会项目(JGJX2020D396)
关键词 人工智能 线上教学 人脸表情识别 artificial intelligence online teaching facial expression recognition
作者简介 孙明思(1983-),女,吉林磐石人,讲师,硕士,主要从事计算机应用研究。
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  • 1杜华,顾小清.教育技术学理论五问——兼论教育技术学之于教育学理论建构的贡献[J].教育研究,2020,0(1):148-159. 被引量:25
  • 2郑旭东.教育技术学的逻辑起点及其理论结构[J].电化教育研究,2004,25(8):23-27. 被引量:29
  • 3左坤隆,刘文耀.基于活动外观模型的人脸表情分析与识别[J].光电子.激光,2004,15(7):853-857. 被引量:19
  • 4Mehrabian A.Communication without words[J].Psychology Today,1968,2(4):53 ~ 56.
  • 5Cohen I,Sebe N,Garg A,et al.Facial expression recognition from video sequences:Temporal and static modeling[J].ComputerVision and Image Understanding,2003,91(1-2):160 ~ 187.
  • 6Cohen I,Sebe N,Cozman F G,et al.Learning bayesian network classifiers for facial expression.recognition with both labeled and unlabeled data[A].In:Proceedings of International Conference on Computer Vision and Pattern Recognition[C],Madison,Wisconsin,USA,2003,1:595 ~ 604.
  • 7Bartlett M S,Littlewort G,Frank M,et al.Recognizing facial expression:machine learning and application to spontaneous behavior[A].In:Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition[C],San Diego,CA,USA,2005,2:568 ~ 573.
  • 8Guo G D,Dyer C R.Learning from examples in the small sample case:face expression recognition[J].IEEE Transactions on System,Man and Cybernetics-Part B,Special Issue on Learning in Computer Vision and Pattern Recognition,2005,35 (3):477 ~ 488.
  • 9Muller S,Wallhoff F,Hulsken F,et al.Facial expression recognition using pseudo 3-D hidden Markov models[A].In:Proceedings of International Conference on Pattern Recognition[C],Québec City,Canada,2002,2:32 ~ 35.
  • 10Yeasin M,Bullot B,Sharma R.From facial expression to level of interest:a spatio-temporal approach[A].In:Proceedings of International Conference on Computer Vision and Pattern Recognition[C],Washington,DC,USA,2004,2:922 ~ 927.

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