Case report: Quantitative recognition of virtual human technology acceptance based on efficient deep neural network algorithm

With the advancement of artificial intelligence, robotics education has been a significant way to enhance students' digital competency. In turn, the willingness of teachers to embrace robotics education is related to the effectiveness of robotics education implementation and the sustainability...

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Veröffentlicht in:	Frontiers in neurorobotics Jg. 16; S. 1009093
Hauptverfasser:	Wang, Xu, Chen, Charles
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Lausanne Frontiers Research Foundation 26.10.2022 Frontiers Media S.A
Schlagworte:	acceptance Artificial intelligence Case reports Deep learning digital virtual human neural network algorithm Neural networks Neuroscience Robotics Secondary schools Students Teaching UTAUT model China
ISSN:	1662-5218, 1662-5218
Online-Zugang:	Volltext
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