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Examining the Language Learning Potential of a Task-Based Approach to Synchronous Computer-Meditated communication

机译:检查基于任务的同步计算机介导通信方法的语言学习潜力

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摘要

This study investigates the influence of two task implementation features, thelevel of task structure and the use of language support, on learner languageproduction during task-based text synchronous computer-mediated communication(text-SCMC) interactions. The study draws on two theoretical sets of claimsconcerning the process of second language acquisition (SLA). The first, broadlydescribed as cognitive accounts of language learning, the Cognition Hypothesis(Robinson, 2001b, 2003b, 2005) and the Trade-off Hypothesis (Skehan, 1998,2009), has generated a large body of research on the role of implementation features(a means of varying task complexity) in influencing learner language production.The second, the Interactionist Approach (Gass & Mackey, 2006) has also claimedthe facilitative role of interaction in promoting second language production. Most ofthe studies in both these areas were conducted in face-to-face settings (e.g. Gilabert,2007b; Michel, Kuiken & Vedder, 2007; Robinson, 2007b; Tavakoli & Foster,2008; Tavakoli & Skehan, 2005). Because SCMC is growing more pervasive inacademic and professional communication, it is timely for empirical research intothe effect of task complexity on interaction and language production to be conductedin this setting (Lee, 2008; Smith, 2008). It is this gap that the current study aims toaddress.The participants were 96 engineering learners at a technical university inMalaysia in an English for Professional Communication course. Using a 2x2experimental design, the learners were placed in one of four experimental groupsdefined by high or low task structure (+TS or -TS), and with or without languagesupport (+LS or -LS). Each group was subdivided into teams of four. In each team,the students engaged in a 45-minute chat session performing a simulation of adecision-making task on an engineering problem. The chat exchanges were capturedand then analyzed to determine the role of these task implementation features on theoccurrence of focus on form sequences and on the accuracy, complexity, andquantity of language produced during the tasks.Results showed that the two task implementation features (+/-TS and +/-LS)influenced the occurrence of language-related episodes (LREs), accuracy,complexity and quantity of output. The findings on the effects of task structure (TS)revealed that the learners engaged in more LREs and their output was more accuratewhen task performance was highly structured (+TS). However, task structure didnot have a significant effect on the structural and lexical complexity of the outputnor on the amount of language produced and equality of participation.The findings on the effects of language support (LS) demonstrated that theparticipants engaged in more LREs and their language use was more accurate whenperforming the task with language support (+LS) than without it (-LS). In contrast,they produced more complex language when performing the task without languagesupport (-LS). Without language support (-LS), the learners were also found toproduce fewer turns but with more words per turn. The finding for equality ofparticipation was non-significant which suggests that participation was not affectedby language support.To summarize, the current study lends qualified empirical support to theInteractionist Approach (Gass & Mackey, 2006) and the trade-off effects proposedby Skehan (1998, 2009) in that cognitively simple tasks promoted more accurate,but less complex production than cognitively complex tasks as they apply to taskbasedinteractions in a text-SCMC context. Additionally, the finding demonstratespartial support for the Cognition Hypothesis (Robinson, 2001b; 2003b, 2005) in thatincreasing task complexity along the resource-dispersing dimension decreased theaccuracy of language production. The visual salience of language in a text-SCMCsetting may be an important explanatory factor in accounting for this finding. Thestudy, therefore, provides evidence that the nature of text-SCMC may be facilitativeto L2 learning, particularly as a medium for learning of form during communicativepractice.
机译:这项研究调查了两个任务执行功能,任务结构的级别和语言支持的使用,对基于任务的文本同步计算机介导的交流(文本-SCMC)交互过程中学习者语言产生的影响。该研究借鉴了关于第二语言习得(SLA)过程的两套理论主张。认知假说(Robinson,2001b,2003b,2005)和权衡假说(Skehan,1998,2009)被广泛地描述为语言学习的认知解释,这引起了关于执行特征作用的大量研究。 (改变任务复杂性的一种方法)影响学习者的语言产生。第二,交互作用方法(Gass&Mackey,2006)也声称交互作用在促进第二语言产生中具有促进作用。这两个领域的大多数研究都是在面对面的情况下进行的(例如Gilabert,2007b; Michel,Kuiken&Vedder,2007; Robinson,2007b; Tavakoli&Foster,2008; Tavakoli&Skehan,2005)。由于SCMC越来越广泛地用于学术和专业交流,因此在这种情况下进行任务复杂性对交互和语言产生的影响的实证研究是及时的(Lee,2008; Smith,2008)。当前的研究旨在解决这一差距。参与者是马来西亚一所技术大学的96名工程学习者的“专业交流英语”课程。使用2x2实验设计,将学习者置于由高或低任务结构(+ TS或-TS)定义的四个实验组之一,并带有或不带有语言支持(+ LS或-LS)。每个小组分为四个小组。在每个小组中,学生进行45分钟的聊天,以模拟关于工程问题的决策任务。捕获聊天交流,然后进行分析,以确定这些任务执行功能在重点关注表单序列以及任务期间生成的语言的准确性,复杂性和数量方面的作用。结果表明,这两个任务执行功能(+/- TS和+/- LS)影响与语言有关的情节(LRE)的发生,准确性,复杂性和输出量。关于任务结构(TS)效果的研究结果表明,当任务绩效高度结构化(+ TS)时,学习者会参与更多的LRE,他们的输出会更加准确。然而,任务结构对输出的结构和词汇复杂性并没有对所产生的语言数量和参与平等产生重大影响。语言支持效果的研究结果表明,参与者参与了更多的LRE及其语言使用语言支持(+ LS)来执行任务比不使用语言支持(-LS)来执行任务更准确。相反,在没有语言支持(-LS)的情况下执行任务时,它们会产生更复杂的语言。如果没有语言支持(-LS),学习者的转弯次数也会减少,但每转弯时的单词数会增加。参与平等的发现并不重要,这表明参与不受语言支持的影响。总而言之,当前的研究为交互主义方法(Gass&Mackey,2006)和Skehan(1998,1998; 2009年),因为认知简单任务适用于文本-SCMC上下文中基于任务的交互,因此比认知复杂任务能促进更准确但更复杂的生产。此外,这一发现证明了对认知假说的部分支持(Robinson,2001b; 2003b,2005),因为沿着资源分散维度的任务复杂性的增加降低了语言产生的准确性。文本SCMC设置中语言的视觉显着性可能是解释此发现的重要解释因素。因此,该研究提供了证据,证明了文本SCMC的性质可能有助于第二语言的学习,特别是作为交流实践中形式学习的媒介。

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