Technology in Second Language Writing: Advances in Composing, Translation, Writing Pedagogy and Data-Driven Learning

Authors

DOI:

https://doi.org/10.54855/callej.25261br2

Keywords:

Technology in second language writing, translation, data-driven learning

Abstract

Recent technological advancements have significantly transformed language education, particularly in the realm of writing, a skill known for its complexity, especially for second language (L2) learners (Hyland, 2021). The digital age has reshaped the writing landscape through various technologies, highlighting a heightened emphasis on integrating technology into L2 writing instruction and research. An up-to-date publication titled Technology in Second Language Writing: Advances in Composing, Translation, Writing Pedagogy, and Data-Driven Learning, edited by Jingjing Qin and Paul Stapleton, aptly illustrates how the L2 writing domain is embracing technology to educate and study students from diverse cultural backgrounds.

Part of the Routledge Research in Language Education series, this insightful volume delves into the evolving integration of technology in L2 writing, serving as a vital resource for scholars, postgraduate students, and practitioners in language teaching, Applied Linguistics, and TESOL. With 11 chapters, the book offers a comprehensive exploration of technological advancements in L2 writing instruction and research. Topics covered include machine translation, electronic feedback, wiki writing, multimodal resemiotization, social networking, corpus analysis, text recognition, and keystroke logging. These chapters collectively assess the effectiveness of various technological tools and their impact on teaching and research in the field of L2 writing.

Author Biographies

  • Muhammed Parviz, Department of Applied Linguistics, Imam Ali University, Tehran, Iran

    Dr. Muhammed Parviz is an Assistant Professor in the Department of Applied Linguistics at Imam Ali University in Tehran, Iran. His research interests focus on second language writing, text analysis, artificial intelligence (AI) technology and its applications in language learning and teaching, corpus linguistics, and Systemic Functional Linguistics (SFL). He has published extensively in (inter)national peer-reviewed journals, sharing his expertise in areas such as AI-assisted L2 writing, the use of corpora in language studies, and the application of SFL frameworks to analyze language use and development. His work aims to bridge the gap between technological advancements and second language acquisition, exploring how AI can be leveraged to enhance language learning and teaching practices.

  • Masoud Azizi, Amirkabr University of Technology, Tehran, Iran

    Dr. Masoud Azizi is an Assistant Professor at Amirkabir University of Technology, specializing in Applied Linguistics. He earned his B.A. in English Translation and M.A. in Applied Linguistics from the University of Tehran, culminating in a Ph.D. in the same field in 2013. Dr. Azizi has published several books and journal articles, focusing on language education and assessment. He is also pursuing additional degrees in Law and Family Counseling, reflecting his diverse academic interests and commitment to interdisciplinary studies.

References

Hyland, K. (2021). Second language writing instruction. In H. Mohebbi, & C. Coombe (Eds.), Research Questions in Language Education and Applied Linguistics (pp. 129-132). Cham: Springer. https://doi.org/10.1007/978-3-030-79143-8_24.

Qin, J., & Stapleton, P. (Eds.). (2022). Technology in second language writing: Advances in composing, translation, writing pedagogy and data-driven learning. Routledge. https://doi.org/10.4324/9781003279358

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Published

2025-11-04

How to Cite

Technology in Second Language Writing: Advances in Composing, Translation, Writing Pedagogy and Data-Driven Learning. (2025). Computer-Assisted Language Learning Electronic Journal, 26(1), 4-8. https://doi.org/10.54855/callej.25261br2