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      The implications of internet-based Chinese language courses on online classes

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          Abstract

          Interactionist and social-cultural perspectives on second language acquisition suggest that interactions between teachers and students offer promising avenues for acquiring Chinese as a second language, which the vast majority of international students consider difficult. Computer-mediated communication is far safer than face-to-face encounters during the present pandemic. Three aims are being investigated here. It is important to first analyze the differences between traditional classroom and online learning by different modes, then analyze the various ways teachers use computer-mediated communication, and finally analyze the challenges and opportunities presented by online Chinese as a second language courses using qualitative research methods. Three teachers and 84 students are analyzed statistically in terms of their multimodal interactions, and the quality of their weekly classroom exchanges is assessed through an interpretive analysis of questionnaire data, all in the name of a mixed-methods approach. Particular attention was paid to the challenges of online tutoring for students, the discrepancy between instructor and student understandings, and the use of several teaching strategies with international students. The online classroom environment places unique demands on the quality of student-teacher communication. Different strategies must be used when teaching non-native speakers of Chinese as a second language compared to teaching in a traditional classroom setting.

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          From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation

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                Author and article information

                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                05 March 2024
                2023
                : 14
                : 1203136
                Affiliations
                [1] 1School of Finance and Economics, Fujian University of Technology , Fuzhou, China
                [2] 2School of Internet Economics and Business, Fujian University of Technology , Fuzhou, China
                Author notes

                Edited by: Rui Li, Hunan University, China

                Reviewed by: Juland Dayo Salayo, University of the Philippines Diliman, Philippines; Hariharan N. Krishnasamy, Universiti Utara Malaysia, Malaysia

                *Correspondence: Rabnawaz Khan, khan-rab@ 123456outlook.com
                Article
                10.3389/fpsyg.2023.1203136
                10949863
                38504906
                eae5fd8b-0230-4bb3-a1c2-ef68bea24dbb
                Copyright © 2024 Khan and Zhuang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 24 April 2023
                : 05 October 2023
                Page count
                Figures: 7, Tables: 6, Equations: 0, References: 159, Pages: 16, Words: 13883
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. National Social Science Foundation of China (22BGL007), Fujian Zhi-lian-yun Supply Chain Technology and Economy Integration Service Platform from the Fujian Association for Science and Technology, the Fujian-Kenya Silk Road Cloud Joint R&D Center (2021D021) from the Fujian Provincial Department of Science and Technology, the Fujian Social Sciences Federation Planning Project (FJ2021Z006), and General program of the Fujian Natural Science Foundation (2022 J01941). Talent Building Fund (Social Sciences), E21/E2100108, Beta decoupling link between CO2 emissions by GDP, energy consumption, power generation, value-added industries, and population in China.
                Categories
                Psychology
                Original Research
                Custom metadata
                Educational Psychology

                Clinical Psychology & Psychiatry
                covid-19 pandemic,chinese language (online-learning),computer-mediated communication,students health,communication mode dominance

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