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引用次数: 0
摘要
本研究讨论了英语交流中各种因素之间的关系,包括社会存在、国际姿态(IP)、交流意愿(WTC)、第二语言学习动机和英语水平。研究假设 IP(有事情要与世界交流)会影响社交存在感,但 WTC 会增强其对社交存在感的影响。为了证实这一点以及社会存在在英语学习中的定位,我们对日本 325 名本科生的调查问卷进行了结构方程建模。第一个模型显示,从 IP 到社会存在的路径并不显著,但 WTC 对社会存在的间接影响是显著的。由于该模型的拟合效果不佳,因此通过剔除不显著的路径并假设误差变量之间存在协方差,对模型进行了改进。因此,最终模型显示出良好的拟合效果。在同一模型中,通过永利国际娱乐和动机从 IP 到英语水平的路径,以及通过永利国际娱乐从 IP 到社会存在的路径被认为具有中等程度的影响。换句话说,该模型解释了随着 IP 的增加,通过永利国际娱乐的社会存在以及通过永利国际娱乐和动机的英语水平也会增加。
Social presence and other individual differences in asynchronous English communication
This study discusses the relationship among various factors in English communication, including social presence, international posture (IP), willingness to communicate (WTC), second language learning motivation, and English proficiency. The hypothesis was that IP (having things to communicate to the world) would affect social presence, but WTC would augment its effect on social presence. To confirm this as well as the positioning of social presence in English learning, structural equation modeling was performed on the survey responses of 325 undergraduate students in Japan. The first model revealed that the path from IP to social presence was not significant but the indirect effect of WTC on social presence was. Since the model did not show a good fit, it was improved by eliminating the insignificant path and assuming covariance among the error variables. As a result, the final model showed a good fit. Within the same model, the path from IP to English proficiency via WTC and motivation and the path from IP to social presence via WTC were found to be moderately influential. In other words, the model explains that as IP increases, social presence via WTC and English proficiency via WTC and motivation also increase.
期刊介绍:
The International Journal of Applied Linguistics (InJAL) publishes articles that explore the relationship between expertise in linguistics, broadly defined, and the everyday experience of language. Its scope is international in that it welcomes articles which show explicitly how local issues of language use or learning exemplify more global concerns.