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An evaluation method of online course quality based on eye movement tracking

An eye tracking and course technology, applied in the direction of acquiring/identifying eyes, resources, instruments, etc., can solve problems such as costing a lot of manpower and material resources, not applicable to the evaluation of online video teaching quality, incomplete objectivity, etc.

Inactive Publication Date: 2019-03-15
FOSHAN SHUNDE SUN YAT SEN UNIV RES INST +2
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AI Technical Summary

Problems solved by technology

[0003] The traditional classroom teaching quality assessment is carried out through expert scoring and student feedback for the classroom atmosphere and teaching content. However, due to human factors, this method is not completely objective and requires a lot of manpower and material resources. Applicable to the evaluation of network video teaching quality
The patent with the publication number CN106228293A proposes to evaluate the quality of online teaching videos by counting the number of times users close their eyes, yawn and nod their heads. However, this method does not completely reflect whether the user's attention is concentrated in the teaching of the video.

Method used

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  • An evaluation method of online course quality based on eye movement tracking

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Embodiment Construction

[0013] refer to figure 1 , a method for evaluating the quality of online courses based on eye-tracking, including the following steps: S1: start teaching video; S2: the program calls the front camera to start video recording and obtain device information; S3: mark the key areas of teaching according to the device information Display the location; S4: Use a large-scale eye movement data set to build a pre-trained prediction model; S5: Take a screenshot of the recorded facial video at regular intervals, and then send the screenshot to the prediction model to obtain the predicted viewpoint position at that moment; S6: Judgment and prediction Whether the viewpoint is in the teaching key area, if so, add the scoring item, if not, don’t add the scoring item; S7: judge whether the teaching video is over, if not, repeat steps S2-S6 until the teaching video is over, if the teaching video is over, The score items are then counted and evaluated according to the score items; S8: the evalu...

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Abstract

The invention discloses an evaluation method of online course quality based on eye movement tracking, At the beginning of the instructional video, The user's face is screened by the camera, and the predicted viewpoint position is obtained by the prediction model, so as to evaluate the teaching quality of the teaching video, which does not require the scoring of students and experts, does not require manpower and material resources, does not exist human factors, and can objectively and impartially evaluate the teaching results according to the state of the user's attendance.

Description

technical field [0001] The present invention relates to eye-tracking technology, in particular, to a method for evaluating the quality of online courses based on eye-tracking. Background technique [0002] With the rapid development of information technology and the emergence of the Internet, the way of working and learning across time and space has been created, and the way of knowledge acquisition has also undergone many changes, which is reflected in the transformation from traditional classroom teaching to online video courses. Teaching and learning can not be limited by time, space and location conditions, and the channels for knowledge acquisition are flexible and diverse. In the new media era, the performance of online video teaching websites has become increasingly prominent, such as Internet learning websites such as MOOC. However, the teaching staff of the website varies from good to bad. How to evaluate the teaching quality of teachers and thus promote excellent ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/20G06K9/00
CPCG06Q10/06395G06Q50/205G06V40/166G06V40/19G06V20/46
Inventor 张东邓洪汰吴增程
Owner FOSHAN SHUNDE SUN YAT SEN UNIV RES INST
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