社会网络、态度和动机在非正式外语学习中的作用:以肯尼亚蒙巴萨县旅游业为例

Gerry Ayieko, P. Mwangi
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摘要

本文探讨了态度、动机、社会网络和非正式语言学习过程中遇到的问题这五个自变量的预测价值。这些值是根据因变量计算的,即在肯尼亚蒙巴萨旅游业工作的非正式法语学习者的TNF测试分数。采用定量描述性调查设计。通过三份问卷收集数据,并对在蒙巴萨县不同旅游部门工作的45名非正式法语学习者进行了TNF管理。结果显示,工具动机和对语言的兴趣是受访者TNF评分的最重要预测因子。采用多元线性回归模型对社会网络、态度和动机在非正式语言学习中的预测价值进行了评估。结果显示,变量对外语掌握有显著的综合影响。此外,结果还显示,其余社会网络变量对被调查者法语掌握的总和影响不显著。我们发现学习者的社交网络和他们对语言的掌握之间存在高度正相关。当所有社会网络变量都被纳入模型时,网络密度被发现是最显著的预测因子。在第一步中,确定了受访者的初始熟练程度和他们网络中以法语为母语的百分比是法语语言掌握的最重要预测因素。第二步在模型中添加了总体尺寸和密度,发现它们也很重要。最后,我们得出结论,非正式外语学习似乎是一种可行的语言学习模式,应该引起旅游业利益相关者的关注。关键词:态度,法语能力,动机,非正式语言学习,社会网络
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Social Networks, Attidude, and Motivation in Informal Foreign Language Learning: A Case Study of the Tourism Industry in Mombasa County, Kenya
The current paper investigates the predictive values of five independent variables including attitude, motivation, social networks, and problems encountered during the process of informal language learning. These values were calculated based on the dependent variable, that is, the scores on Test de Niveauenfrançais (TNF) of the informal learners of French working in the tourism industry in Mombasa, Kenya. A quantitative descriptive survey design was used. Data was collected through a set of three questionnaires and TNF was administered to 45 informal learners of French working in different tourism sectors in Mombasa County. The results revealed that instrumental motivation and interest in the language were the most significant predictors of the TNF score of the respondents. A multiple linear regression model was used to estimate the predictive value of social networks, attitude, and motivation in informal language learning. The results revealed a significant combined effect of variables on foreign language mastery. Furthermore, the results also revealed that the sum effect of the remaining social network variables on the respondents’ mastery of French was not significant. We discovered a highly positive correlation between learners’ social networks and their mastery of the language. Network density was found to be the most significant predictor when all the social network variables were factored into the model. In the first step, it was determined that the respondents’ initial proficiency level and the percentage of native French speakers in their network were the most significant predictors of French language mastery. The second step added overall size and density in the model and they were found to be significant as well. Finally, it was concluded that informal foreign language learning seems to be a viable model of language learning that should be given attention by stakeholders in the tourism industry. Keywords: attitude, French language competence, motivation, informal language learning, social network
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