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The effects of task complexity on the complexity of language production and task motivation in asynchronous computer-mediated communication (ACMC) environment

机译:任务复杂度对异步计算机介导通信(ACMC)环境中语言产生和任务动机的复杂度的影响

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摘要

This study investigates the effects of manipulating the cognitive demands of task complexity, on the complexity of learner language production using task-based instruction during asynchronous computer-mediated communication (ACMC) writing tasks. The study also intends to examine the effects of manipulating task complexity on leaners‘ task motivation. Finally, the current study seeks to explore the relationship between the complexity of language production and task motivation when task complexity was manipulated. This study draws on the construct of cognitive complexity from Robinson‘s Cognition Hypothesis (Robinson 2001a, 2003a, 2003b, 2005, 2007a, 2007b) which predicts that more cognitively complex tasks along resource-directing dimension and simpler tasks on resource-dispersing dimension will lead to a greater complexity of language production. However, research on the effects of manipulating task complexity along both resource-directing and resource-dispersing dimensions is so far inconclusive. The current study sought to fill this gap based on Cognition Hypothesis, by looking at the synergistic effects of increases and decreases task complexity on written language production and task motivation. The participants were 88 engineering learners at a technical university in Malaysia who enrolled in English for Professional Communication course. The participants were placed in four separate groups that were categorized as follows; i) with causal reasoning demand (+CRD), ii) without causal reasoning demand (–CRD), iii) with task structure (+TS), and iv) without task structure (–TS). Each learner engaged in a one-hour session of a writing task for which they had to write an essay on Wiki on miscommunication issues at the workplace. After the participants completed the writing tasks, they were asked to complete a questionnaire to gauge their motivation towards the tasks and several participants from each group were interviewed. The statistics from the essay writing and input from the questionnaire served as the data in the current study. The essay writings were saved and analysed to determine the role of these task implementation features on the complexity of language production. The complexity of the language was analysed using two measures: syntactic complexity (i.e. T-unit complexity ratio, sentence complexity ratio, dependent clause ratio and dependent clause per T-unit) and lexical complexity (i.e. word type ratio, Guiraud Index and lexical sophistication). Results showed that the two implementation features (+/- CRD and +/- TS) influenced the complexity of the language production. The findings on the effect of task complexity on task motivation demonstrated that neither the reasoning demand nor the task structure affected learners‘ motivation towards the task. The findings on the relationship between task complexity and task motivation revealed a significant correlation between manipulating the cognitive demand of a task and the lexical production of the language. However, no correlation was found between task complexity and syntactic complexity of language production. To summarize, the current study lends empirical support to the Cognition Hypothesis in that increasing task complexity along the resource-directing dimension and decreasing task complexity along resource-dispersing dimension increased the production of lexical complexity of the language. The study, therefore, provides evidence as it attempts to bridge the gap between current research by identifying the synergistic effects of language production when manipulating task complexity and at the same time focusing on the roles of task motivation in mediating the acquisition of language. This study offers evidence for the Cognition Hypothesis and explains the dynamics of the motivation process. By certain manipulation of task complexity, learners may be more likely to be motivated and to produce more complex language simultaneously when completing the task. This study also offers further understandings into the use of pedagogic tasks within task-based CMC teaching and learning environment.
机译:这项研究调查了在异步计算机介导的通信(ACMC)编写任务期间使用基于任务的指令来处理任务复杂性的认知需求对学习者语言产生的复杂性的影响。该研究还旨在研究操纵任务复杂性对学习者任务动机的影响。最后,当前的研究试图探索操纵任务复杂性时语言产生的复杂性与任务动机之间的关系。这项研究借鉴了罗宾逊的认知假设(Robinson 2001a,2003a,2003b,2005,2007a,2007b)中的认知复杂性结构,该构想预测,在资源导向方面,认知上复杂的任务会更多,而在资源分散方面,任务会更简单。导致语言产生的复杂性增加。然而,到目前为止,关于在资源导向和资源分散两个维度上操纵任务复杂性的影响的研究尚无定论。当前的研究试图通过观察增加和减少任务复杂性对书面语言产生和任务动机的协同效应,基于认知假说来填补这一空白。参加者是马来西亚一所技术大学的88名工程学习者,他们注册了英语专业交流课程。参与者分为四个单独的组,分为以下几类: i)具有因果推理需求(+ CRD),ii)没有因果推理需求(-CRD),iii)具有任务结构(+ TS),并且iv)没有任务结构(-TS)。每个学习者都要参加一个小时的写作任务,为此他们不得不在Wiki上写一篇关于工作场所误传问题的论文。参与者完成写作任务后,被要求填写问卷以衡量他们对任务的动机,并采访了每组的几名参与者。论文写作的统计数据和问卷调查的数据作为当前研究的数据。保存并分析了论文写作,以确定这些任务执行功能对语言产生的复杂性的作用。语言的复杂度使用两种方法进行分析:句法复杂度(即T单元复杂度比,句子复杂度比,从属子句比例和每个T单元的从属子句)和词法复杂性(即单词类型比,Guiraud索引和词法复杂度) )。结果表明,两个实现功能(+/- CRD和+/- TS)影响了语言生成的复杂性。关于任务复杂性对任务动机影响的研究结果表明,推理需求和任务结构都不会影响学习者对任务的动机。关于任务复杂性和任务动机之间关系的发现表明,在操纵任务的认知需求与语言的词汇产生之间存在显着的相关性。但是,在语言语言的任务复杂性和语法复杂性之间没有发现相关性。总而言之,当前的研究为认知假说提供了实证支持,因为沿着资源导向维度的任务复杂性增加,而沿着资源分散维度的任务复杂性降低,从而增加了语言的词汇复杂性。因此,这项研究提供了证据,试图通过在操纵任务复杂性时识别语言产生的协同效应并同时关注任务动机在介导语言习得中的作用来弥合当前研究之间的差距。这项研究为认知假说提供了证据,并解释了动机过程的动力学。通过对任务复杂性的某些控制,学习者在完成任务时更有可能被激发并同时产生更复杂的语言。这项研究还为基于任务的CMC教学环境中的教学任务的使用提供了进一步的理解。

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    Umi Kalsom Masrom;

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