Integrating Technology in Language Learning: Digital Approaches to Error Analysis for Arabic-Speaking EFL Learners
Error Analysis, Syntactic Challenges, Arabic EFL Learners, Linguistic Transfer, Self-Correction, Second Language Acquisition
Abstract This study explores the syntactic challenges that Arabic-speaking English as a Foreign Language (EFL) learners face, focusing on error analysis techniques for addressing sentence structure issues. Using a qualitative approach, data was collected through interviews and error analysis of writing samples. Findings show that common errors among learners include incorrect verb tense, punctuation, and word order due to linguistic transfer from Arabic to English. This paper provides insight into effective self-correction practices, such as using digital tools and peer review, to help learners overcome these challenges. Implications for pedagogical approaches tailored to address linguistic interference are discussed.
"Integrating Technology in Language Learning: Digital Approaches to Error Analysis for Arabic-Speaking EFL Learners", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 11, page no.47 - 48, November-2024, Available :https://ijsdr.org/papers/IJSDR2411006.pdf
Volume 9
Issue 11,
November-2024
Pages : 47 - 48
Paper Reg. ID: IJSDR_212652
Published Paper Id: IJSDR2411006
Downloads: 000346998
Research Area: Social Science and Humanities
Country: Randolph, MA, USA
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
