摘要
动态系统理论下的二语习得研究认为学习动机处于持续的复杂变化之中。动机衰竭,作为动机的对立面,自然也经历着此消彼长的变化。主流动机衰竭研究倾向于利用横向研究方法考察引起学习者动机衰竭的因素,缺乏动态视角,也忽视了学习者个体差异。基于此,拟从历时性角度出发,采取定性研究方法,利用半结构式访谈考察本科口译课堂中学生学习动机衰竭的变化及影响因素。研究发现:学生的动机衰竭变化特点各异,难以用群体平均值简单概括;而引起动机衰竭的因素有缺乏学习兴趣与目标、学习困难和教学节奏过快。此外,相同教学内容会引起不同学生的动机水平反向变化,即部分学生动机上升,部分学生动机下降。通过研究学习者动机衰竭的个体差异与动态变化,教师能够更全面掌握学生的学习状态,从而对症下药,这有助于拓宽现行动机衰竭研究视角,拓展动态思路。
According to the second language acquisition research framed in the Dynamic Systems Theory,learning motivation is in constant and complex changes.Thus demotivation,the opposite of motivation,experiences corresponding fluctuations.The mainstream demotivation research prefers cross-sectional investigation into factors leading to learners’demotivation,but not in a dynamic perspective and even ignores their individual differences.Therefore,the current study,from a longitudinal perspective,adopts a qualitative method of semi-structured interviews to examine the dynamics of demotivation in an undergraduate interpreting classroom and factors underlying these changes.It is found that the demotivation dynamics of students have different characteristics which are difficult to be generalized by group averages.Reasons include lack of learning interests and goals,difficulty in learning and a fast pace in teaching. Besides, the same teaching contents will evoke opposite changes in students’ motivation.Some students’ motivation increased while others’ motivation decreased. By exploring the individualdifferences and dynamic changes of learners’ demotivation, English teachers are able to monitor students’learning in a more comprehensive way and to provide tailored instruction. This study can also supplementthe research on demotivation by a dynamic approach.
作者
刘婧
LIU Jing(School of Foreign Studies,Anhui Normal University,Wuhu 241002,China)
出处
《上海理工大学学报(社会科学版)》
2023年第2期157-164,共8页
Journal of University of Shanghai for Science and Technology:Social Sciences Edition
基金
安徽师范大学2020年度校级科研项目(2020XJ05)。
关键词
动态系统理论
口译学习
动机衰竭
动机变化
Dynamic Systems Theory
interpreting learning
demotivation
motivational dynamics