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Psychological state prediction method and device and electronic device

A technology of psychological state and prediction method, applied in the direction of prediction, data processing application, instrument, etc., can solve the problem of difficulty in measuring the change of the learner's psychological state, unable to find the corresponding relationship between the learner's psychological state and behavior, and the learner's psychological state. Problems such as low recognition rate

Inactive Publication Date: 2019-05-28
SICHUAN UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional learning feature extraction method is a manual calibration feature method, which uses the learner's mouse, keyboard and operation log data as identification features. These features are too low-level and lack semantic information, and the recognition rate of the learner's mental state is low. Finding the corresponding relationship between the learner's mental state and behavior makes it difficult to measure the change of the learner's mental state, which is not conducive to educators' understanding of the learner's mental state, so it is difficult to apply it to actual educational scenarios

Method used

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  • Psychological state prediction method and device and electronic device
  • Psychological state prediction method and device and electronic device
  • Psychological state prediction method and device and electronic device

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Experimental program
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Embodiment 1

[0054] figure 1 A mental state prediction method provided by an embodiment of the present invention is applied to the online learner's mental state prediction process and can be implemented by a related processor. Such as figure 1 As shown, the method includes steps S1-S3, specifically as follows:

[0055] Step S1, acquiring the interaction event information between the learner and the online education system.

[0056] Step S2, generating a learning interaction scenario according to the time stamp corresponding to the interaction event information.

[0057] Step S3, input the above-mentioned learning interaction situation into the pre-trained deep learning network model, and predict the psychological state corresponding to the learning interaction situation.

[0058] Wherein, the aforementioned mental state includes one or more of emotional state, personality state and stress state.

[0059] In the embodiment of the present invention, the mental state prediction method obt...

Embodiment 2

[0098] Corresponding to a mental state prediction method in the above embodiment, an embodiment of the present invention also provides a mental state prediction device, see Figure 4 , the device consists of:

[0099] An information acquisition module 11, configured to acquire interactive event information between the learner and the online education system;

[0100] The situation generation module 12 is used to generate a learning interaction situation according to the timestamp corresponding to the interaction event information;

[0101] The prediction module 13 is used to input the learning interaction situation into the pre-trained deep learning network model, and predict the psychological state corresponding to the learning interaction situation;

[0102] The aforementioned mental state includes one or more of emotional state, personality state and stress state.

[0103] Further, the above-mentioned psychological state prediction device also includes a training module, ...

Embodiment 3

[0106] see Figure 5 , the embodiment of the present invention also provides an electronic device 100, including: a processor 40, a memory 41, a bus 42 and a communication interface 43, the processor 40, the communication interface 43 and the memory 41 are connected through the bus 42; Executable modules, such as computer programs, stored in the execution memory 41 .

[0107] Wherein, the memory 41 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the Internet, wide area network, local network, metropolitan area network, etc. can be used.

[0108] The bus 42 can be an ISA bus, a PCI bus or an EISA bus, etc. The bus can be divided into address bus, data bu...

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Abstract

The invention provides a psychological state prediction method and device and an electronic device, and relates to the technical field of online education. The method comprises the steps of obtainingthe interaction event information of a learner and an online education system; generating a learning interaction situation according to the timestamp corresponding to the interaction event information; inputting the learning interaction situation into a pre-trained deep learning network model; and predicting the psychological state corresponding to the learning interaction situation, so that the relationship between the interaction behavior of the learner and the psychological state of the learner can be well embodied through the method, and accordingly the psychological state prediction of the learner becomes more accurate and efficient, and an instructor is helped to better understand the psychological state of the learner.

Description

technical field [0001] The present invention relates to the technical field of online education, in particular to a psychological state prediction method, device and electronic equipment. Background technique [0002] In the field of online education, how to identify the psychological state of learners during the learning process and provide corresponding support and feedback has become the focus of research by educators at home and abroad in recent years. Correctly identifying learners' interactive behaviors, especially obtaining learners' psychological states in the learning process in real time, can help us adjust teaching programs and achieve more efficient, learner-centered science education. [0003] Computational models that automatically detect learners' mental states have been extensively studied in the field of online education over the past few decades. At present, the detectors that automatically detect the mental state of learners are mainly divided into two ca...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/20G06N3/04
Inventor 林涛吴芝明付煜邓钰巧徐洪雁
Owner SICHUAN UNIV
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