吸收 发表于 2025-3-21 16:15:44
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Sven Hille,Amelia Koczy,Martin Fityka,Axel Hofmann,Dirk Zündorffacial expression is 93.63%. The high accuracy shows the application of CNN to recognize facial expression is valuable and helpful for the teachers in the future distance education system to attain and understand the learners’ emotion state in real time, accordingly to regulate the teaching strategy官僚统治 发表于 2025-3-22 02:28:58
Sven Hille,Amelia Koczy,Martin Fityka,Axel Hofmann,Dirk Zündorffacial expression is 93.63%. The high accuracy shows the application of CNN to recognize facial expression is valuable and helpful for the teachers in the future distance education system to attain and understand the learners’ emotion state in real time, accordingly to regulate the teaching strategyGourmet 发表于 2025-3-22 07:48:30
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in their assignments and narratives documented on the questionnaires after experiencing knowledge-building activities. Correlation analysis showed that the perceived learning dimension moved from a traditional mode to a more constructive mode compared to the beginning of the course. In summary, this光滑 发表于 2025-3-22 19:24:23
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g theory. To perform this goal, a VR subcutaneous injection scenario is constructed and used as the skill training sample for the two-year college nursing students to understand their experience during the VR training process. The constructed training system includes completed step by step operation催眠药 发表于 2025-3-23 03:06:38
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Sven Hille,Amelia Koczy,Martin Fityka,Axel Hofmann,Dirk Zündorffoften ignored during the distance education learning process. In this paper, the study purpose is mainly concerned with how to effectively recognize the emotion through the way of using facial expression for the future distance education learning. We apply the method of Convolutional Neural Network