Evaluation Methods of Interactive Effects of Collaborative English Learning in Colleges in Online Environment

Author:

Zhang Yang12,Zhang Hai3ORCID,Wang Yining3

Affiliation:

1. College of Information Science and Technology, Northeast Normal University, Changchun 130117, Jilin, China

2. School of Western Languages, Heilongjiang University, Haerbin 150080, Heilongjiang, China

3. School of Media Science/School of Journalism, Northeast Normal University, Changchun 130117, Jilin, China

Abstract

The rapid development of modern teaching information technology, especially the application of modern information technology, represented by multimedia technology and Internet information technology in education, makes collaborative learning (CL) in an online environment more critical, and its evaluation issues are more prominent. This article aims to study the interactive effect of the evaluation method of college English CL in the online environment. This paper mainly analyzes the composition of cooperative learning, the effect evaluation function of online cooperative learning, the elements of interactive design, and other teaching activities on learning. Combining the experimental method and the questionnaire survey method, a class of non-English majors in a university is selected as the research object. All students perform English CL in an online environment, and we finally analyze the interactive effects of students’ CL based on the data obtained from pretests and questionnaires. The experimental results show that the interaction of teachers and students through the CL of online platforms has become closer.

Funder

14th Five-Year Planning of Education Science of Heilongjiang Province of China

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference12 articles.

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4. Utilizing a collaborative learning model to promote early extubation following infant heart surgery: erratum;M. Prosser;Pediatric Critical Care Medicine,2018

5. On distributed non-linear active noise control using diffusion collaborative learning strategy;K. Ruchi;IET Signal Processing,2018

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