Online course applicability evaluation method

An evaluation method and adaptive evaluation technology, applied in data processing applications, instruments, calculations, etc., can solve problems that affect learning effects, imperfect basic knowledge, and influence, and achieve the effect of overcoming weaknesses and improving learning effects

Active Publication Date: 2017-02-15
CHINA UNIV OF GEOSCIENCES (BEIJING)
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0009] 2. The influence of learning behavior on the effect of online learning
It is generally believed that a good level of basic knowledge can help improve the learning effect, while wrong or incomplete basic knowledge will affect the learning effect
The research of Mitchell et al. found that learners with different levels of basic knowledge will have different perceptions of online learning content, which will affect their learning effect.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0048] In this example, three "JAVA language" courses with different teaching strategies are selected for comparative experiments, so as to establish the OCAA evaluation model and verify its validity and use effect.

[0049] 1. Participants and courses

[0050] Table 1 The characteristics and teaching style of the experimental course

[0051]

[0052] The participants in this experiment included 3 teachers and 186 sophomores majoring in computer science (including 47 girls and 139 boys). The participating teachers have online teaching and tutoring experience, and the students are familiar with online course learning. The experiment was divided into two stages, correspondingly the students were randomly divided into two groups, namely the first stage group (S-1, n=91) and the second stage group (S-2, n=95).

[0053] Before commencing the course of study, each student is individually assessed on his or her personal characteristics. In the S-1 group, students can freely cho...

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PUM

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Abstract

The invention discloses an online course applicability evaluation method which belongs to the technical field of intelligent recommendation. Based on the analysis of the personal learning characteristics of a learner and online course teaching policies, the method establishes a correlation model for the personal characteristics and the learning effect of the learner by statistically calculating the personal learning characteristics and the online course learning effect of a large numbers of learners. The correlation model is used to predict the learning effect of the learner in a course to be selected. According to prediction results, the learner is helped to select the most suitable course for learning, namely a course with the best prediction result is selected for learning. According to the method, the learner can easily find the course suitable for the personal characteristics from a large number of course resources, so that the learning effect is improved; and in addition, the method can help the learner to better understand the details of the selected course in the aspect of teaching style and the like, so that the weaknesses of the learner can be effectively overcome in learning.

Description

technical field [0001] The invention belongs to the technical field of intelligent recommendation, and in particular relates to an online course applicability evaluation method. Background technique [0002] With the development of information technology, more and more personalized learning systems and courses for individual learning have been developed. Online learning has gradually played an important role in different stages of school education and in the teaching process of various adult education. A large number of online learning resources involving various subjects, and even online course resources of the same subject, appear on the Internet. Although a large number of learning resources provide learners with more choices, it also makes learners have a difficult time choosing the one that suits them. New confusion has emerged with regard to online courses. [0003] In order to improve the learning effect of online courses, researchers around the world have carried o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20
CPCG06Q50/205
Inventor 任毅戴朝霞赵晓欢费明明甘文田
Owner CHINA UNIV OF GEOSCIENCES (BEIJING)
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