Effective strategies in English language teaching: Enhancing writing proficiency among learners
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.3.13Keywords:
English Language Teaching (ELT), Writing proficiency, English Language Learners (ELLs), Process writing, Differentiated instruction, Peer feedback, Technology integration, Scaffolded learningDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Examining effective English Language Teaching (ELT) strategies for enhancing the writing abilities of English Language Learners (ELLs) is the focus of this research. Despite the fact that writing is a crucial ability for language learners, a lot of students have trouble coming up with original, well-organised writing. The research examines the effects of several pedagogical approaches on students' writing skills, including process writing, peer review, and the use of technology. The study highlights the need of scaffolded support and individualised instruction in addressing diverse learning requirements through the use of a mixed-methods approach that incorporates student assessments, instructor interviews, and classroom observations. In order to boost students' confidence and writing abilities, the findings stress the need of creating a secure learning environment, promoting collaboration, and using state-of-the-art tools. By providing educators with actionable guidance on how to use targeted strategies in various contexts, this study contributes to the growing body of ELT expertise.Abstract
How to Cite
Downloads
Similar Articles
- Koyel Naskar, Urmi Satyan, Celebration and protest in art: a Comparative Study of Australia’s Corroboree and West Bengal’s Gambhira as Forms of Socio-Cultural Expression , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- G Vanitha, M Kasthuri, A robust feature selection approach for high-dimensional medical data classification using enhanced correlation attribute evaluation , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Ravi Kumar P, C. Gowri Shankar, Optimizing power converters for enhanced electric vehicle propulsion: A novel research methodology , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- V. Manibabu, M. Gomathy, Data Quality Management and Risk Assessment of Dairy Farming with Feed Behaviour Analysis Using Big Data Analytics with YOLOv5 Algorithm , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Amala Deepa V., T. Lucia Agnes Beena, Enhancing data imputation in complex datasets using Lagrange polynomial interpolation and hot-deck fusion , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- T. R. Raajpandiyan, Syed T. Hussainy, U. Rizwan, A bivariate replacement policy (T, N) under partial product process , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Dhivya, S. Prakash, Power quality assessment in solar-connected smart grids via hybrid attention-residual network for power quality (HARN-PQ) , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Yashodhara Y. Thaker, Divya Bhadauriya, Exploring communal strife: A comparative analysis of conflict in the novels of Khushwant Singh, Bhisham Sahni, Bapsi Sidhwa, and Amrita Pritam , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- S. TAMIL FATHIMA, K. FATHIMA BIBI, Early diagnosis of cardiac disease using Xgboost ensemble voting-based feature selection, based lightweight recurrent neural network approach , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Dharmendra Singh, Surabhi Singh, Identification of Microsatellite DNA for Population Genetic Analysis in Tor tor , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
<< < 30 31 32 33 34 35 36 37 38 39 > >>
You may also start an advanced similarity search for this article.

