Abstract

Online education is a network-based approach to teaching. It is a method of content dissemination and rapid learning through the application of UGC and Internet technology.Compared with traditional school education, online learning can obtain more resources, more autonomy, and no longer limited time and space for learning.Through the questionnaire, this paper finds that learners in the online education model still have some shortcomings in the learning process.For example, the learning process is not durable.Therefore, this paper uses neural network classification algorithm to analyze the related factors that affect the learning behavior of online education students.And propose corresponding control strategies for different influencing factors.By constructing a learning process control strategy model for large educational data, to help learners improve their learning efficiency, help the online education model break through the bottleneck, the online education industry has maintained rapid development.Finally, through the comparative analysis of the improved online education model and the traditional online education model, finding an improved online education model can better improve students' interest in learning.Provided a reference for the development of online education,It also provides a reference for the transformation and upgrading of traditional education to online education.

Highlights

  • The upgrade of Internet era from 1.0 to 2.0 has realized the transformation from information sharing to user social interaction, accompanying by the change of Information content from enterprise creation to user creation (UGC)

  • The questionnaire consists of four aspects: one is the basic information of the respondent; the other is the attitude of the respondent to online education; the third is the use and purpose of the online course of the respondent; the fourth is the time and study of the online learning of the respondent Scenario; five is the effectiveness of the online learning of respondents; sixth is the number of online courses that have been completely studied

  • Based on the online education, this paper finds that when students use the online education platform, the effect of learning is not obvious, and there are various problems

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Summary

Introduction

The upgrade of Internet era from 1.0 to 2.0 has realized the transformation from information sharing to user social interaction, accompanying by the change of Information content from enterprise creation to user creation (UGC). All users (including students and teachers), as the creators and disseminators of information, gather on a variety of online education platforms and form information-sharing communities. Teachers, enjoying high-quality teaching achievements and accepting advanced teaching ideas, changing the closedness of education and promoting the circulation of knowledge; on the other hand, traditional school education has strict schooling time and limits student learning activities to a certain extent. While online education, learners can learn at any time and place according to their own situation Online education, both in terms of resources and learners, reflects its openness and inclusiveness, which is difficult to achieve in traditional offline education. Learners can take notes at any time, and learners can browse each other's notes, reflections, and communication questions In this way, teachers and students no longer complete the class or complete the task after completing the class. Determine the relevant factors that affect the knowledge level of online education students, and propose corresponding control strategies according to relevant factors

Analysis of the Current Situation of Online Education
Influencing factors of teaching conditions
Emotional condition
Correlation algorithm design
Significant test
Strategy Analysis of Learning Process Control Strategy Based on Big Data
Analysis of Results
Academic achievement
Conclusion
Authors
Full Text
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