Generative AI and EFL students’ perceived research writing competence: A mixed-methods parallel mediation analysis

Quoc Hoang and Minh Nam Anh Nguyen
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Quoc Hoang: Saigon University, Ho Chi Minh City, Vietnam
Minh Nam Anh Nguyen: Foreign Trade University – Ho Chi Minh City Brand, Vietnam

Technium Social Sciences Journal, 2026, vol. 85, issue 1, 240-264

Abstract: This study examines how generative artificial intelligence usage behavior (UG) influences the perceived research writing competence (RWC) of EFL university students in Ho Chi Minh City. Utilizing a sequential explanatory mixed-methods design, the inquiry integrates partial least squares structural equation modeling (PLS-SEM) with a thematic analysis of semi-structured interviews. This paper argues that while GenAI acts as a digital support tool, it also risks cognitive passivity that alters students' self-competence perceptions. The results show that the structural model explains 58.9% of the variance in perceived research writing competence (R2 = 0.589). The frequency of GenAI interaction directly supports learners' writing confidence (β = 0.265, p

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:ojs:13744

DOI: 10.47577/tssj.v85i1.13744

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