Enhancing EAP learners’ academic vocabulary learning: an investigation of WhatsApp-based reporting and receiving activities

• Authors: Yudhi Arifani , Jumadi

Abstracts

EN

Previous studies have indicated inconsistencies in utilizing the mobile application known as WhatsApp in academic vocabulary learning. This study attempts to overcome those inconsistencies by addressing three research aims, namely a) to examine any significant difference of employing vocabulary learning between using WhatsApp-based reporting and receiving on the one hand, and traditional-based reporting and receiving strategies on the other; (b) to determine the best predictor of vocabulary learning, and (c) to draw learners’ attitudes among the four types of strategies. A mixed randomized experimental type of research with pre-test and post-test design as well as survey design has been consecutively applied for these purposes. The results of the study reveal that English Academic Purposes (EAP) learners who expand their academic vocabulary using WhatsApp-based reporting activities achieve better having been exposed to these three different treatments. Learners’ endeavours to find out the mixed Indonesian-English vocabulary definitions by themselves, followed by reporting these to their teacher using WhatsApp turn out to be the best vocabulary learning predictor. Learners’ attitudes observed in this cohort also show positive responses. Since the aspect of familiarity with academic vocabulary learning is not incorporated into this study, future researchers may find filling up this lacuna worth pursuing

Keywords

EN

WhatsApp-based reporting; receiving activities; academic vocabulary; EAP learner

• Publisher: IATEFL Poland Computer Special Interest Group & University of Nicosia
• Journal: Teaching English with Technology
• Year: 2021
• Volume: 21
• Issue: 4
• Pages: 51-75

Dates

published

2021

Contributors

author

Yudhi Arifani

• Universitas Muhammadiyah Gresik, Indonesia

author

Jumadi

• Universitas Lambung Mangkurat, Indonesia

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Identifiers

Biblioteka Nauki

2087159