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No more excuses, learn English for free: Factors affecting L2 learners intention to use online technology for informal English learning

机译:没有更多的借口,免费学习英语:影响L2学习者的因素打算在线英语学习中使用在线技术

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摘要

There is a wealth of research investigating language learners' adoption of digital technology in higher education. To date, however, research primarily focuses on the implementation of technology in formal learning either inside or outside of the classroom, and the associations between factors influencing learners' informal English learning in online contexts are not adequately discussed. Therefore, the present study aims to identify and test the main factors related to students' informal online English learning (IOEL) that could predict their usage intention. To better understand the drivers of technology use for informal L2 learning among university students, this study proposed a model based on the Technology Acceptance Model (TAM) to investigate students' behavioural intention toward IOEL with particular reference to Malaysian L2 learners. The partial least square approach of the structural equation modelling (PLS-SEM) was applied to test the proposed research model and the corresponding hypotheses. The results indicate that nine out of ten of the hypotheses were supported, which implies that the extended model can effectively predict L2 learners' IOEL technology adoption in online contexts. The results also showed that perceived interaction and perceived ease of use were the two main predictors influencing learner's technology acceptance for IOEL.
机译:有丰富的研究调查语言学习者在高等教育中采用了数字技术。然而,迄今为止,研究主要侧重于在课堂内外的正式学习中的技术实施,并且影响学习者在线上下文中的非正式英语学习的因素之间的协会不会得到充分讨论。因此,本研究旨在识别和测试与学生的非正式在线英语学习(IOEL)有关的主要因素,可以预测其使用意图。为了更好地了解技术使用的技术用途,为大学生中的非正式L2学习,这项研究提出了一种基于技术验收模型(TAM)的模型,以调查学生对Ioel的行为意图,特别是马来西亚L2学习者。应用了结构方程建模(PLS-SEM)的局部最小方形方法来测试所提出的研究模型和相应的假设。结果表明,支持的十个假设中有9个,这意味着扩展模型可以有效地预测在线上下文中的L2学习者的IOEL技术采用。结果还表明,感知的相互作用和感知的易用性是影响学习者对ioel技术验收的两个主要预测因子。

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