On the effectiveness of receiving teacher and peer feedback as a mediator on Iranian English as a Foreign Language learners’ writing skill: Mobile-mediated vs. direct instruction
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.35Keywords:
Feedback, Writing skill, Mobile-mediated, Direct instruction, English as a foreign language contextDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This study was an endeavor to explore the effect of receiving teacher and peer feedback on Iranian english as a foreign language (EFL)Abstract
learners’ writing skills via mobile texting. A placement test was administered to homogenize them, as a result, 62 of them were selected
and randomly assigned into equal groups of experimental and control (31 Ss in each). After that, a writing pretest was administered
to both groups at the beginning of the term to ensure they had the same language background. Then, the treatment started and the
experimental group received the required feedback from two sources, i.e., teacher and peers via mobile texting, while the control group
received instructions directly from their teacher. Data analysis revealed that the learners who received teachers’ and peers’ feedback via
mobile texting outperformed the ones who were instructed through the conventional method. The results also indicated no difference
between the performance of male and female learners.
How to Cite
Downloads
Similar Articles
- Gomathi Ramalingam, Logeswari S, M. D. Kumar, Manjula Prabakaran, Neerav Nishant, Syed A. Ahmed, Machine learning classifiers to predict the quality of semantic web queries , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- P. Rajkumar, B. Vijay Bhaskar, Assessing the impact of indoor air pollution on respiratory health: A survey of home residents in rural area , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Augustine Antony L, Mary Priya Dharsini A, Some fixed point theorems for contraction on b-multiplicative metric spaces , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Subhasre S, Nirmala Varghese, A study on consumer attitude and preferences towards graphic design on clothing , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Shaheen Fatima, Priyanka Suryavanshi, Urban slum children in Lucknow: Exploring nutritional status and complementary feeding practices , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- M. A. Shanti, Optimizing predictive accuracy: A comparative study of feature selection strategies in the healthcare domain , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Surbhi Choudhary, Vinay Chauhan, Exploring the metaverse: A new era for hospitality , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- AMITESH KUMAR, R.K. VERMA, STUDY OF BARDEEN COOPER STATE (BCS) TO BOSE EINSTEIN CONDENSATION (BEC) CROSSOVER , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- V Vijayaraj, M. Balamurugan, Monisha Oberai, Machine learning approaches to identify the data types in big data environment: An overview , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Milindkumar N. Dandale, Amar P. Yadav, P. S. K. Reddy, Seema G. Kadu, Madhusudana T, Manthan S. Manavadaria, Deep learning enhanced drug discovery for novel biomaterials in regenerative medicine utilizing graph neural network approach for predicting cellular responses , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 17 18 19 20 21 22 23 > >>
You may also start an advanced similarity search for this article.

