Personalized learning evaluation method and device
An evaluation method and a technology of learning status, applied in the field of education, can solve problems such as low accuracy, inability to accurately determine students' learning conditions, and inability to evaluate students' learning characteristics in a systematic, comprehensive, timely, objective, and scientific manner
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Embodiment 1
[0053] Please see figure 1 , figure 1 It is a schematic flow diagram of a personalized learning evaluation method provided by the embodiment of this application. Such as figure 1 As shown, the personalized learning evaluation method includes:
[0054] S101. Acquire facial expression data of multiple target objects, and perform recognition processing on the facial expression data to obtain a learning state set of multiple target objects.
[0055] In the embodiment of the present application, facial expression refers to expressing various emotional states through changes in eye muscles, facial muscles and oral muscles. Separate specific facial expression data from a given static image or dynamic video sequence (such as classroom surveillance video, classroom surveillance photos, etc.), and then identify the facial expression data to determine the psychological emotion of the identified object.
[0056] In the embodiment of the present application, when the facial expression ...
Embodiment 2
[0130] Please see Figure 5 , Figure 5 It is a schematic block diagram of the structure of a personalized learning evaluation device provided by the embodiment of the present application. Such as Figure 5 As shown, the personalized learning evaluation device includes:
[0131] The state acquisition module 210 is configured to acquire facial expression data of multiple target objects, and perform recognition processing on the facial expression data to obtain a set of learning states of multiple target objects.
[0132] In the embodiment of the present application, facial expression refers to expressing various emotional states through changes in eye muscles, facial muscles and oral muscles. Separate specific facial expression data from a given static image or dynamic video sequence (such as classroom surveillance video, classroom surveillance photos, etc.), and then identify the facial expression data to determine the psychological emotion of the identified object.
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