The Synergy Mechanism of Online-Offline Mixed Teaching Based on Teacher-Student Relationship

Author:

Cao Chang

Abstract

The teacher-student relationship on online education platforms is quite complex. The learning habits of different-type students and the non-contact interaction on the online education platforms make it difficult for online and offline teaching to form a synergetic relationship spontaneously, thus researching the method to construct a synergetic teaching-learning relationship between teachers and students in the context of online-offline mixed teaching is of high value. However, currently few scholars have viewed the problem of synergy mechanism of online-offline mixed teaching from a macro perspective, so in order to fill in this research gap, this paper aims to study the synergy mechanism of online-offline mixed teaching by analyzing the key factors in teacher-student relationship, including the students’ background information, personality characteristics, learning preferences, learning behavior habits, types and features of the teacher-student relationship, and the interaction fitness of teachers and students, etc. In the paper, the teacher-student relationship was classified by the normal distribution division method, the calculation process of the interaction fitness degree of teachers and students was given, and a model was constructed for evaluating the synergy degree of online-offline mixed teaching. The experimental results gave a statistic of each evaluation dimension of teacher-student relationship, which had verified the effectiveness of the constructed model.

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering,Education

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development and Application of Interactive Teaching Systems for Online Design Courses;International Journal of Distance Education Technologies;2023-01-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3