Digital innovations in L2 motivation: Harnessing the power of the Ideal L2 Self

Digital innovations in L2 motivation: Harnessing the power of the Ideal L2 Self
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DOI:
10.1016/j.system.2018.07.014
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发表时间:
2018-11-01
期刊:
影响因子:
6
通讯作者:
Valstar, Michel
Valstar, Michel
中科院分区:
人文科学1区
文献类型:
--
作者:
Adolphs, Svenja;Clark, Leigh;Valstar, Michel

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持续的动机对学习第二语言(L2)至关重要,而支持这一点的一种方法是通过在脑海中想象理想的L2自我(Dornyei&Kubanyiova,2014)。本文报道了一项探索性研究,该研究探讨了使用技术以数字方式创建语言学习者理想的二语自我表征的可能性。九名中国二语学习者被邀请参加三次半结构化访谈,讨论他们理想的二语自我和他们未来的语言目标,以及他们对几种不同的技术方法来表现他们理想的二语自我的看法。向参与者展示了三种方法:(A)2D和3D动画,(B)面部覆盖,和(C)面膜。其中还包括了几次迭代(例如,有/没有背景或背景)。结果表明,3D动画在面部特征的真实感和动画方面提供了最好的方法,而对面部覆盖的改进可能会在未来带来有益的结果。使用2D动画和面膜方法的方法似乎没有什么未来的潜力。学习者理想的二语自我的描述性细节也为未来基于技术的干预措施中可能包括的内容的发展提供了初步方向。(C)爱思唯尔有限公司出版的2018年。
Sustained motivation is crucial to learning a second language (L2), and one way to support this can be through the mental visualisation of ideal L2 selves (Dornyei & Kubanyiova, 2014). This paper reports on an exploratory study which investigated the possibility of using technology to create representations of language learners' ideal L2 selves digitally. Nine Chinese learners of L2 English were invited to three semi-structured interviews to discuss their ideal L2 selves and their future language goals, as well as their opinions on several different technological approaches to representing their ideal L2 selves. Three approaches were shown to participants: (a) 2D and 3D animations, (b) Facial Overlay, and (c) Facial Mask. Within these, several iterations were also included (e.g. with/without background or context). Results indicate that 3D animation currently offers the best approach in terms of realism and animation of facial features, and improvements to Facial Overlay could lead to beneficial results in the future. Approaches using the 2D animations and the Facial Mask approach appeared to have little future potential. The descriptive details of learners' ideal L2 selves also provide preliminary directions for the development of content that might be included in future technology-based interventions. (c) 2018 Published by Elsevier Ltd.