Research on the Construction of English Autonomous Learning Model Based on Computer Network-Assisted Instruction.


Journal

Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357

Informations de publication

Date de publication:
2022
Historique:
received: 12 05 2022
accepted: 01 06 2022
entrez: 27 6 2022
pubmed: 28 6 2022
medline: 29 6 2022
Statut: epublish

Résumé

As a supplement to traditional teaching methods, computer-assisted teaching methods can reflect modern educational concepts, such as creating student-led, teacher-led environments. The goal of college English education is to enable them to communicate effectively in English in their future academic, work, and social interactions, while also developing students' self-learning skills. Chinese society improves overall cultural competence and adapts to the needs of international communication. Self-directed learning is not static and will increase or decrease with time, discipline, and conditions and is an evolving process. Understanding learning, taking responsibility for one's own learning, and learning how to learn are all beneficial. Students abound in school life and even throughout their lives. In this paper, we try to propose a computer-based method for constructing an independent English learning model based on a practical study of computer network technology for the development of self-learning ability of non-English majors in a university. This paper uses comparative analysis techniques to compare traditional paper-and-pencil examinations and computer-based online evaluations and analyzes the effects of each. The survey showed that 81% of the students preferred the computer-based assessment. Therefore, the focus of this research is to strengthen the oral English training in college and create an authentic English learning environment for students to really feel the standard English pronunciation, intonation, and knowledge of grammar, listening, reading, writing, and translation.

Identifiants

pubmed: 35755763
doi: 10.1155/2022/8646463
pmc: PMC9217551
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8646463

Informations de copyright

Copyright © 2022 Mijuan Tian et al.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest.

Auteurs

Mijuan Tian (M)

School of Educational Sciences, Leshan Normal University, Leshan, Sichuan 614000, China.

Rong Fu (R)

School of Educational Sciences, Leshan Normal University, Leshan, Sichuan 614000, China.

Qianjun Tang (Q)

School of Educational Sciences, Leshan Normal University, Leshan, Sichuan 614000, China.

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Classifications MeSH