Online teaching evaluation system based on cloud teaching platform

An evaluation system and cloud teaching technology, applied in the direction of instruments, data processing applications, resources, etc., can solve problems such as the ineffective use of massive data, and achieve the effect of improving teaching methods, improving learning efficiency, and improving teaching efficiency.

Inactive Publication Date: 2017-10-13
杭州博世数据网络有限公司
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the massive data generated in the online teaching process has not been effectively utilized

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Embodiment 1, the calculation method of student's knowledge point grasping probability, comprises the following steps:

[0045] Step 1: Evaluate the probability that the student has mastered the knowledge point. The calculation formula is P(θ)=1 / (1+e^(b-θ)), where θ represents the ability parameter for evaluating the student, and b represents each topic The degree of difficulty, e is a constant 2.71828;

[0046] Among them, for this knowledge point, b adopts the standard difficulty coefficient, which refers to the unified difficulty coefficient standard determined through quantitative and qualitative research methods for all platform students.

[0047] According to the accumulated practice data of a large number of students on the whole platform, combined with the correct rate of each question (the correct rate of each question adopts the average correct rate of all parts of the country (counties) to reduce the impact of differences in teaching levels in various regions...

Embodiment 2

[0061] Embodiment 2 is different from Embodiment 1 in that the item response theory is directly used to calculate the probability of knowledge point mastery, that is, the formula for calculating the knowledge point mastery probability is P(θ)=1 / (1+e^(b-θ )), instead of using the calculation result of P(θ)*R to correct the knowledge point mastery probability.

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PUM

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Abstract

The invention discloses an online teaching evaluation system of a cloud teaching platform, which includes a knowledge point diagnosis module: used to obtain the knowledge point mastery probability of each student in the area from the cloud teaching platform database, and calculate the knowledge point mastery probability of each student Compare with the set value of the knowledge point mastery probability; among them, the calculation formula of the knowledge point mastery probability is P(θ)*R; the per capita knowledge point calculation module of students: calculate the per capita knowledge point and The per capita knowledge points of students in the area; the teacher teaching effect evaluation module compares the per capita knowledge points of students in each teacher's class in the area and sorts them in descending order. The technical solution adopted in the present invention obtains massive data generated during the online teaching process from the cloud teaching platform database, and combines these data to evaluate the online teaching effect, and compares it with human evaluation, which can be more comprehensive, objective and accurate.

Description

technical field [0001] The present invention relates to an online learning platform. Background technique [0002] With the development of the network, students' learning is closely linked with the network. Many schools and educational institutions are using online teaching platforms. However, the massive data generated in the online teaching process has not been effectively utilized. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide an online teaching evaluation system of the cloud teaching platform, which can analyze the massive data generated in the online teaching process. [0004] In order to solve the above-mentioned technical problems, the present invention adopts the following technical solutions: an online teaching evaluation system of a cloud teaching platform, comprising: [0005] Knowledge point diagnosis module: used to obtain the knowledge point mastery probability of each student in the area from ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/20
CPCG06Q10/06395G06Q50/205
Inventor 张延光陈冬华朱毅范亮
Owner 杭州博世数据网络有限公司
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