Exploring the benefits and limitations of digital vocabulary learning applications on Chinese adult EAL leaners in automotive industry: implications for business communication proficiency

Thesis

This study investigates the benefits and limitations of mobile-assisted language learning (MALL) applications, specifically Quizlet, in enhancing business English vocabulary acquisition among Chinese adult EAL learners in the automotive industry. The research addresses the gap in existing literature regarding the comparative effectiveness of digital tools versus traditional paper-based methods for adult learners in professional contexts. By using a mixed-methods approach, the study involved 23 participants divided into a digital group using Quizlet and a traditional group using printed materials and audio files. Pre-tests, post-tests, and delayed post-tests were conducted to measure vocabulary memorization and retention, while semi-structured interviews provided qualitative insights into the participants' learning experiences.

Quantitative results indicated significant improvements in vocabulary acquisition for both groups over time, with no significant difference in effectiveness between the digital and traditional methods. The qualitative data revealed that Quizlet’s interactive features, convenience, and visual and audio aids were beneficial for short-term memorization. However, some participants questioned the app’s depth and impact on long-term retention. Traditional methods were valued for enabling note-taking and repeated practice, though digital tools were preferred for their flexibility and ease of use during fragmented schedules.

The study suggests that individual learning preferences, the convenience of mobile apps, and the specific features of learning tools significantly influence adult EAL learners’ vocabulary acquisition in professional contexts. Recommendations for future research include addressing identified limitations such as small sample size, varying levels of English proficiency, and the short intervention period. Future studies should explore the integration of contextual learning, enhanced interactive features, and personalized feedback to optimize the effectiveness of digital vocabulary learning tools for adult EAL learners in professional settings.

Authors: Huang, Z

• DOI: 10.5287/ora-e20n4doep
• Type of award: MSc taught course
• Level of award: Masters
• Awarding institution: University of Oxford
• Language: English
• Keywords: ALSLA; mixed-methods research; Chinese adult learners; quizlet; vocabulary acquisition; mobile-assisted language learning; automotive industry; ALSLA2024; vocabulary retention; business English; EAL learners; digital learning tools
• Subjects: Vocabulary; Chinese adult learners; Mobile-assisted language learning; English language--Business English--Study and teaching; Applied linguistics; Automobile industry and trade; Mixed methods research