Enhancing EFL learners’ speaking skills, foreign language enjoyment, and language-specific grit utilising the affordances of a MALL app: A microgenetic perspective

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2024-02-19 DOI:10.1016/j.compedu.2024.105015
Gwo-Jen Hwang , Masoud Rahimi , Jalil Fathi
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Abstract

Mobile-assisted language learning (MALL) is reported to be beneficial for improving English as a foreign language (EFL) learners' language learning skills. Although some studies have concentrated on utilising a MALL application's (app) affordances for improving EFL learners' overall speaking performance, there is as yet little empirical evidence of its effectiveness in terms of developing EFL learners' speaking skills and motivation-relevant factors. To tackle this knowledge gap, the current study adopted a sequential explanatory mixed-methods approach to explore the utilisation of a MALL app's affordances for developing EFL learners' speaking skills (including fluency and coherence, lexicon, grammatical range and accuracy, and pronunciation), foreign language enjoyment (FLE), and language-specific grit (LSG). With this aim in mind, we used blocked randomisation applying computer-generated random numbers to equally distribute 66 EFL learners across two groups. Corroborating the adequacy of the sample size via power analysis, the two groups were randomly assigned to a MALL group (33 EFL learners) and a face-to-face group (33 EFL learners). The MALL learners had interactive speaking activities inside the class and utilised the MALL app for their out-of-class interactive speaking activities. On the other hand, the face-to-face learners had interactive speaking activities both inside the class and in a language learning laboratory in addition to the class time serving as supplementary interactive speaking activities. An IELTS speaking test, an FLE scale, and an LSG scale were used to collect the required quantitative data, and an individual semi-structured interview was conducted to gather the qualitative data. Running one-way ANCOVA to analyse the quantitative data, the findings indicated that both MALL and face-to-face instruction developed the EFL learners' overall speaking performance, speaking skills, FLE, and LSG; however, the MALL learners outperformed their face-to-face counterparts on all measures. Furthermore, the qualitative analysis uncovered several themes and categories addressing the MALL learners' positive and negative attitudes towards and perceptions of the utilisation of the MALL app's affordances, which could explain the quantitative findings. The findings are useful for EFL learners and instructors interested in utilising MALL apps' affordances in their interactive speaking courses.

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利用 MALL 应用程序的可负担性提高英语语言学习者的口语技能、外语乐趣和语言特长:微遗传学视角
据报道,移动辅助语言学习(MALL)有利于提高英语作为外语(EFL)学习者的语言学习技能。虽然一些研究集中于利用 MALL 应用程序(app)的可负担性来提高 EFL 学习者的整体口语表现,但目前还没有什么实证证据证明其在培养 EFL 学习者的口语技能和动机相关因素方面的有效性。为了填补这一知识空白,本研究采用了一种顺序解释混合方法,来探讨如何利用 MALL 应用程序的可负担性来提高 EFL 学习者的口语技能(包括流利性和连贯性、词汇、语法范围和准确性以及发音)、外语乐趣(FLE)和语言特质(LSG)。考虑到这一目标,我们使用了计算机生成的随机数,将 66 名 EFL 学习者平均分配到两组。通过功率分析证实样本量充足后,两组被随机分配为 MALL 组(33 名 EFL 学习者)和面对面组(33 名 EFL 学习者)。MALL 学习者在课内进行互动口语活动,并利用 MALL 应用程序进行课外互动口语活动。另一方面,面授学习者除了在课堂上进行互动口语活动外,还在语言学习实验室中进行补充性互动口语活动。雅思口语测试、FLE量表和LSG量表用于收集所需的定量数据,而个人半结构式访谈则用于收集定性数据。通过单向方差分析定量数据,结果表明MALL和面授教学都提高了EFL学习者的整体口语表现、口语技能、FLE和LSG;然而,MALL学习者在所有指标上都优于面授学习者。此外,定性分析发现了几个主题和类别,涉及 MALL 学习者对使用 MALL 应用能力的积极和消极态度及看法,这可以解释定量研究结果。这些研究结果对有意在互动口语课程中利用 MALL 应用能力的 EFL 学习者和教师很有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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