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Cited by 57Artificial Intelligence in EducationLiteracy, Media, and EducationEFL/ESL Teaching and Learning

Integrating generative AI into digital multimodal composition: A study of multicultural second-language classrooms

Lin, Chin-Hsi, Zhou, Keyi, Li, Lanqing, Sun, Lanfang·2025·Computers and Composition
DOI 10.1016/j.compcom.2024.102895
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Crossref · 10.1016/j.compcom.2024.102895

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87 of 87 references verified0 citation errors · 0 not checkable

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  • GenAI is employed to support student engagement with challenging topics such as quantum theory, interdisciplinary knowledge transfer, and experimental design and hypothesis formulation.

    “GenAI is employed to address these goals by supporting student engagement with challenging topics such as quantum theory, interdisciplinary knowledge transfer, and experimental design and hypothesis formulation-areas often limited by insufficient teacher resources and the lack of personalized instruction [91-94].”

    From A Systematic Review of Generative AI in K–12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model (2025) · cites this paper as [92]

  • Teachers employ tiered questioning, prompt calibration, and 'virtual teacher' designs to sustain an iterative cycle of adaptive probing, immediate feedback, and practice.

    “Teachers employ tiered questioning, prompt calibration, and 'virtual teacher' designs [92,142] to sustain an iterative cycle of adaptive probing, immediate feedback, and practice.”

    From A Systematic Review of Generative AI in K–12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model (2025) · cites this paper as [92]

  • Readability issues, insufficient explanatory depth, and cognitive overload can further impede knowledge construction and amplify over-reliance risks.

    “Readability issues [76], insufficient explanatory depth [91,92], and cognitive overload [73] can further impede knowledge construction and amplify over-reliance risks [94,119].”

    From A Systematic Review of Generative AI in K–12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model (2025) · cites this paper as [92]

  • Numerous studies report higher enthusiasm, participation, curiosity, and satisfaction after AI use, alongside a general preference for AI tools as efficient and convenient.

    “Numerous studies report higher enthusiasm, participation, curiosity, and satisfaction after AI use [6,70,74,81,87,91,92,101,104,106,113,114,116,119,131,141,142], alongside a general preference for AI tools as efficient and convenient [99,111,124,127,135,140].”

    From A Systematic Review of Generative AI in K–12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model (2025) · cites this paper as [92]

  • Additional instruments like Sosu's Critical Thinking Scale (CTS), the Reflective Thinking Scale (RTS), and Kember's Reflective Thinking Questionnaire were used to assess learners' capacity for reflective and analytical thought, all reporting high internal reliability (e.g., Cronbach's α ≥ 0.84).

    “Additional instruments like Sosu's Critical Thinking Scale (CTS), the Reflective Thinking Scale (RTS), and Kember's Reflective Thinking Questionnaire were used to assess learners' capacity for reflective and analytical thought, all reporting high internal reliability (e.g., Cronbach's α ≥ 0.84) [84].”

    From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [84]

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Authors
Lin, C.-H., Zhou, K., Li, L., & Sun, L.
Affiliations
  • University of Hong Kong (HK)
  • Chinese University of Hong Kong (HK)
Corresponding author
Zhou, Keyi
ORCID
Venue
Computers and Composition
Publisher
Elsevier BV
Published
2025-03
Volume
75
Pages
102895
ISSN
  • 1873-2011 (ISSN-L)
  • 8755-4615
DOI
10.1016/j.compcom.2024.102895
OpenAlex
W4404793547
Cited by
57
References
88
Citations by year
2026: 39 · 2025: 18
FWCI
21.50
Type
journal article
Language
en
Open access
closed
Licence
Locations
Computers & composition/Computers and composition (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Literacy, Media, and Education
  • Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
Keywords
generative AI, digital multimodal composition, multicultural classrooms, second language writing, student motivation, writing process, human-AI collaboration, multimodal literacy, multilingual support, critical thinking, visual representation

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