A Comparative Study of the Effects of the TBLT Method and ENGAGE Model on Iranian EFL Learners' CAF in Writing Performance

Research in English Language Pedagogy

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 21 اسفند 1402

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30486/relp.2023.1997468.1504

نویسندگان

Javad Gholami^{* 1}؛ Mohaddeseh Salimpoor Aghdam²؛ Mahnaz Saedi²

¹Department of English, Urmia University, Urmia, Iran

²Department of English, Tabriz Branch, Islamic Azad University, Tabriz, Iran

چکیده

The ever-growing needs for writing ability in English in the global context has given priority to finding more effective ways to teach L2 writing. A thorough analysis of the pertinent literature indicated a dearth of empirical research in ELT regarding the effect of applying the ENGAGE model on the writing skills of L2 learners. Therefore, the current study sought to ascertain how the ENGAGE Model and Task-based Language Teaching (TBLT) method affected the complexity, accuracy, and fluency (CAF) of Iranian EFL learners' writing performance. Sixty-seven Iranian female EFL learners aged 18 to 25 at Urmia University language center were chosen for the quasi-experimental study based on their level of proficiency on the standard Oxford Quick Placement Test (OPT) in 2022. The participants were randomly divided into three groups and instructed based on the principles of the ENGAGE model (n = 22), TBLT model (n = 24), and control group (n = 21). Pretesting, intervention, and post-testing were all the processes that the study participants underwent. The null hypotheses were tested after the data were analyzed by applying multivariate ANCOVA (MANCOVA) measures. The study of the post-test data revealed that the ENGAGE model, as opposed to TBLT, had a more significant effect on the overall L2 CAF in Iranian EFL learners' ability to write essays. The results of the present study can be applied by ELT experts and curriculum designers in EFL and ESL settings. English learners and instructors can use the ENGAGE model to address linguistic and metalinguistic issues.

کلیدواژه‌ها

Complexity؛ Accuracy؛ Fluency