What does this research mean for the field?

Research on technology-enhanced L2 writing in EFL contexts is steadily increasing and shifting toward adaptive, AI-assisted, and learner-centered approaches, highlighting a continuing need for theoretically informed research that connects technological innovation with pedagogical practice. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To systematically examine research trends, intellectual structures, and thematic evolutions in technology-enhanced second language writing within English as a Foreign Language contexts from 2010 to 2024.

September 2, 2026Open Access

Mapping Research Trends in Technology-Enhanced L2 Writing in Efl Contexts: A Bibliometric Analysis

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NGNida Gürbüz

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Overview

Bibliometric analysis reveals rising focus on automated evaluation and artificial intelligence in second language writing, indicating a shift toward personalized instruction.

Key Points

To systematically examine research trends, intellectual structures, and thematic evolutions in technology-enhanced second language writing within English as a Foreign Language contexts from 2010 to 2024.
Analyzed a dataset of N=221 articles published in Social Sciences Citation Index (SSCI)-indexed journals between 2010 and April 2024.
Conducted science mapping using VOSviewer and CiteSpace software to execute keyword co-occurrence, co-citation, and citation burst analyses.
Demonstrated steady growth in publication output, with core thematic clusters concentrated on automated writing evaluation (AWE), collaborative writing, digital environments, and feedback practices.
Identified emerging trends in learner autonomy, data-driven learning, and AI-assisted writing tools, signaling a structural transition toward adaptive and learner-centered instruction.
Identified an ongoing deficiency in theoretically grounded and interpretive studies needed to bridge technological innovations with classroom pedagogical practices.

Cite This Study

Nida Gürbüz (2026) studied this question.

synapsesocial.com/papers/6a97e2eac562ede874ec7592 https://doi.org/10.5281/zenodo.22210977

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September 2, 2026Open Access

Mapping Research Trends in Technology-Enhanced L2 Writing in Efl Contexts: A Bibliometric Analysis

View Full Paper

Ask AI

Bookmark

Authors

NGNida Gürbüz

Discussion

Member takes

Overview

Bibliometric analysis reveals rising focus on automated evaluation and artificial intelligence in second language writing, indicating a shift toward personalized instruction.

Key Points

To systematically examine research trends, intellectual structures, and thematic evolutions in technology-enhanced second language writing within English as a Foreign Language contexts from 2010 to 2024.
Analyzed a dataset of N=221 articles published in Social Sciences Citation Index (SSCI)-indexed journals between 2010 and April 2024.
Conducted science mapping using VOSviewer and CiteSpace software to execute keyword co-occurrence, co-citation, and citation burst analyses.
Demonstrated steady growth in publication output, with core thematic clusters concentrated on automated writing evaluation (AWE), collaborative writing, digital environments, and feedback practices.
Identified emerging trends in learner autonomy, data-driven learning, and AI-assisted writing tools, signaling a structural transition toward adaptive and learner-centered instruction.
Identified an ongoing deficiency in theoretically grounded and interpretive studies needed to bridge technological innovations with classroom pedagogical practices.

Cite This Study

Nida Gürbüz (2026) studied this question.

synapsesocial.com/papers/6a97e2eac562ede874ec7592 https://doi.org/10.5281/zenodo.22210977

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