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Learning effect prediction method and system

A prediction method and technology of effectiveness, applied in the field of educational informatization, can solve problems such as strong subjectivity and inaccurate prediction results

Inactive Publication Date: 2019-12-03
SOUTHWEST UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the embodiments of the present application is to provide a learning effect prediction method and system, which solves the problems that the existing learning effect prediction methods are highly subjective and the prediction results are inaccurate

Method used

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  • Learning effect prediction method and system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] With the in-depth development of emotion and cognition research, compared with explicit behavior data, emotional indicators are more in line with learners' learning performance. In the field of learning science, the emotional state is usually divided into two dimensions, namely, the emotional index that reflects the positive and negative emotions and the arousal that describes the degree of emotional arousal. As the main carrier of emotional information, facial expressions can be used to infer the emotional state of others during the learning process, thereby inferring their learning effects.

[0071] Please see figure 1 , figure 1 A flow chart of a method for predicting learning effectiveness provided by the embodiment of the present application; as an example, the method can be implemented with a computer device as a carrier, and the method includes the following steps:

[0072] Step S100: Obtain the expression data of the learner at the current stage and analyze th...

Embodiment 2

[0174] The embodiment of the present application also provides a learning effect prediction system, such as Figure 7 as shown, Figure 7 A structural block diagram of a learning effectiveness prediction system provided by the embodiment of the present application, the system includes:

[0175] The expression data receiving and parsing module 600 is used to obtain the historical expression data of the learner's current stage and analyze the learning state of the learner's current stage and the total time of learning state recording according to the historical expression data of the current stage;

[0176] The learning state processing module 700 is used to obtain active learning state parameters according to the learning state of the current stage and the total time of learning state recording;

[0177] The learning effect prediction module 800 is configured to use the active learning state parameters of the current stage and the preset learning effect prediction model to pre...

Embodiment 3

[0204] This application also provides an embodiment of using the above method to predict the learning effect, as follows:

[0205] Step 1: Parse expression data:

[0206] Through the calculation and processing of expression data, the active learning states obtained by analysis are divided into three types, S p ={S p1 , S p2 , S p3}; where, S p1 For focus, S p2 for thinking, s p3 For understanding; the passive learning states obtained by analysis are divided into 3 types, S d ={S d1 , S d2 , S d3}; where, S d1 for confusion, s d2 for bored, s d3 for wandering.

[0207] Determine T 1 The time period is 40 minutes; S p1 Appears for 10 minutes, S p2 Appears for 6 minutes, S p3 Appears for 10 minutes; S d1 Appears for 6 minutes, S d2 did not appear, S d3 Appears for 8 minutes.

[0208] According to formula S p (k) m =T sp / T, the proportion of the learner's active learning state in the course is 0.6; the proportion of the passive learning state is 0.4; the h...

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Abstract

The embodiment of the invention provides learning effect prediction method and system, and relates to the technical field of education informatization. The method comprises the steps that expression data of a learner in the current stage are acquired, the learning state of the learner in the current stage and the total learning state recording time are analyzed according to the expression data ofthe current stage, and the types of the learning state comprise the positive learning state and the negative learning state; the positive learning state parameters of the current stage is acquired according to the learning state of the current stage and the learning state record total time; the learning effect of the next stage is predicted by using the positive learning state parameter of the current stage and a preset learning effect prediction model, and the historical learning ability index and a learning ability index of the current stage are calculated. The method and system solve the problems that an existing learning effect prediction method is high in subjectivity and inaccurate in prediction result.

Description

technical field [0001] This application relates to the technical field of educational informatization, specifically, to a learning effect prediction method and system. Background technique [0002] Existing data sources for prediction of learning effectiveness mainly focus on the behavioral data recorded by the learning management system, including reading volume, number of comments, and learning time, as well as learning attitude data obtained from questionnaire surveys and academic performance evaluation data. Although these data can reflect the learning state to a certain extent, they still belong to the retrospective data of external learning behavior and learning attitude in terms of type, and the data is too subjective, which makes the prediction of future learning into a system reliable. Reduced, unable to enable learners to adjust learning strategies and learning content in a timely manner during the learning process. Contents of the invention [0003] The purpose...

Claims

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Application Information

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IPC IPC(8): G09B19/00
CPCG09B19/00
Inventor 龚朝花邓晖余亮谢涛刘光远刘革平
Owner SOUTHWEST UNIVERSITY
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