Power of Online Games in Enriching EFL Learners’ Vocabulary Knowledge
Publish Year: 1401
Type: Journal paper
Language: English
View: 189
This Paper With 16 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_JLTR-2-2_003
Index date: 1 October 2022
Power of Online Games in Enriching EFL Learners’ Vocabulary Knowledge abstract
Online games have been proved to be influential in escalating the learning rate of language. Many facets of language were investigated in the light of online games, but the vocabulary was not considered enough at different proficiency levels. Therefore, the present study aimed at inspecting the impact of online games on young EFL learners’ vocabulary enhancement. For this purpose, following a true experimental design, a sample of eighty male and female learners took part in the study. They were divided into two control and experimental groups randomly. They were homogenized using OPT test. Then, they were pre-tested using an online vocabulary test. Later, the control group was taught using traditional methods of text-book and writing and the experimental group was treated using BINGO online game. Subsequently, the groups were post-tested through another online vocabulary test. Scores were entered into SPSS and the descriptive statistics were calculated and t-tests were run. The results revealed that the experimental group outperformed the control group in mastering specified vocabulary items, and there was a considerable difference between the two groups. The study has implications for teachers, curriculum designers, and students.
Power of Online Games in Enriching EFL Learners’ Vocabulary Knowledge Keywords:
Power of Online Games in Enriching EFL Learners’ Vocabulary Knowledge authors
Zohreh Jafari
Department of English Language, Kerman Branch, Islamic Azad University, Kerman, Iran
Abbas Paziresh
Department of English Language and Translation Studies, Chabahar Marine and Maritime University, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :