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Teaching quality evaluation method for online education

A technology for teaching quality and users, applied in data processing applications, instruments, calculations, etc., can solve problems such as inability to reflect learning situations, ignore correlations, etc., to achieve the effect of eliminating the influence of subjective factors

Pending Publication Date: 2020-06-12
HOHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although it can eliminate some subjective emotional influence of the evaluation subject, it ignores the correlation between each evaluation index and cannot reflect the real learning situation.

Method used

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  • Teaching quality evaluation method for online education
  • Teaching quality evaluation method for online education
  • Teaching quality evaluation method for online education

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Note that the total number of videos of course i is vdocnt, and the total number of classroom tests is tstcnt.

[0045] For course i, the access frequency of user j to its shared materials is denoted as F ij , and the download amount is recorded as D ij . will access the record vector (f ij , d ij ) into the database, and continuously update the database records with user operations.

[0046] For video k in course i, user j records its total viewing time as w ikj , the number of views is recorded as n ikj , the number of barrage published is denoted as l ikj , and the subjective evaluation score is denoted as m ikj . Record video browsing (w ikj ,n ikj , l ikj ,m ikj ) into the database, and continuously update the database records with user operations.

[0047] For the post-test c in course i, the score obtained by user j in the subjective question is denoted as s icj , the score obtained in the objective question is denoted as o icj . Let the total num...

Embodiment 2

[0069] When evaluating the user's attention to the video, other relevant indicators can be added, such as the number of users' likes, the number of user feedbacks that do not understand the status, and the number of user evaluations. Its calculation method is the same as w ikj , n ikj , l ikj 、m ikj Same, add browsing record vector (w ikj ,n ikj , l ikj ,m ikj ) into the database. .

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Abstract

The invention discloses a teaching quality evaluation method for online education. The teaching quality evaluation method comprises the following steps: setting two course interaction modes A and B; for the course i, recording the interaction count of the user j in the course interaction mode A and the course interaction mode B as Aij and Bij, carrying out homotaxis processing and dimensionless processing on the data to obtain course activity index evaluation values A'ij and B 'ij, and enabling each index value to be on the same quantity level; taking a geometric mean value of the A'ij and theB 'ij to obtain an average attention condition Cij of the user j to the course f; carrying out dimensionless processing on the average attention condition Gij of the user; carrying out dimensionlessprocessing on the score Tij obtained by testing the user j in the course i; taking the attention condition of the user j to the course i as a weight, and taking a course test weighted average value Viof the course; calculating the arithmetic mean of the average attention condition Cij of all users to the course i to obtain the average attention level Pi of the users to the course i; and taking ageometric mean of the Vi and the Pi to obtain a teaching quality evaluation score reference value Qi.

Description

technical field [0001] The invention relates to a teaching quality evaluation method, in particular to a teaching quality evaluation method for online video teaching. Background technique [0002] The existing online teaching evaluation is mainly carried out by students' manual evaluation and the system taking the average score. This evaluation method cannot eliminate the emotional factors in the students' evaluation, and cannot accurately reflect the specific teaching situation of the lecturer. In online teaching, the cost of grading students is low, and the characteristics that are not easy to track make their grading less objective. Therefore, a new teaching quality evaluation method is needed to eliminate the influence of subjective factors in traditional evaluation methods. [0003] There are two popular scoring methods. One is to use subjective scoring as the scoring basis, use Bayesian average (Bayesian average), and use the idea of ​​Bayesian inference to modify t...

Claims

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Application Information

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IPC IPC(8): G06Q50/20G06Q10/06
CPCG06Q50/205G06Q10/06395
Inventor 谢在鹏李博文叶保留朱晓瑞
Owner HOHAI UNIV
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