From Passive Answers to Active Inquiry: How AI Supports Critical Reading in EFL Classrooms
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| Title: | From Passive Answers to Active Inquiry: How AI Supports Critical Reading in EFL Classrooms |
|---|---|
| Language: | English |
| Authors: | Nuchsara C. Thongsan, Neil J. Anderson |
| Source: | LEARN Journal: Language Education and Acquisition Research Network. 2025 18(2):795-820. |
| Availability: | Language Institute of Thammasat University. The Prachan Campus, 2 Prachan Road, Bangkok 10200 Thailand. e-mail: learnjournal@gmail.com; Web site: https://www.tci-thaijo.org/index.php/learn |
| Peer Reviewed: | Y |
| Page Count: | 26 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration, English (Second Language), Majors (Students), Student Attitudes, Intervention, Reading Skills, Reading Comprehension, Student Motivation, Scaffolding (Teaching Technique), Ethics, Critical Literacy, Digital Literacy, Undergraduate Students, Reading Instruction, Foreign Countries |
| Geographic Terms: | Thailand |
| ISSN: | 2630-0672 2672-9431 |
| Abstract: | This study investigates the integration of ChatGPT, a generative AI tool, into critical reading instruction for university-level EFL learners. Recognizing the importance of higher-order reading skills such as evaluating arguments, recognizing bias, synthesizing information, and generating counterarguments, the research explores how AI-supported tasks influence both skill development and learner perceptions. Using a mixed-methods sequential explanatory design, the study engaged 35 second-year English majors in an eight-week intervention. Data collection included pre- and post-tests, five AI-integrated reading tasks, a structured questionnaire, and semi-structured interviews. Quantitative results revealed significant improvements in students' ability to recognize bias, generate counterarguments, and identify main ideas. Qualitative analysis of ChatGPT interaction screenshots and student reflections demonstrated behavioral progression from surface-level clarification-seeking to more critical inquiry and evaluative questioning. Students reported high motivation and appreciation for AI's role in supporting comprehension and analysis. However, they also expressed skepticism, frequently verifying AI outputs and reflecting on potential bias. These behaviors contrast with earlier studies that emphasized uncritical reliance on AI tools, highlighting the emergence of critical digital literacy in this context. The findings suggest that AI can serve not only as a comprehension aid but also as a scaffold for cognitive and ethical engagement. When paired with explicit instruction, AI tools hold promises for fostering critical literacy and responsible use of technology in EFL education. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1479855 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1479855 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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Recognizing the importance of higher-order reading skills such as evaluating arguments, recognizing bias, synthesizing information, and generating counterarguments, the research explores how AI-supported tasks influence both skill development and learner perceptions. Using a mixed-methods sequential explanatory design, the study engaged 35 second-year English majors in an eight-week intervention. Data collection included pre- and post-tests, five AI-integrated reading tasks, a structured questionnaire, and semi-structured interviews. Quantitative results revealed significant improvements in students' ability to recognize bias, generate counterarguments, and identify main ideas. Qualitative analysis of ChatGPT interaction screenshots and student reflections demonstrated behavioral progression from surface-level clarification-seeking to more critical inquiry and evaluative questioning. Students reported high motivation and appreciation for AI's role in supporting comprehension and analysis. However, they also expressed skepticism, frequently verifying AI outputs and reflecting on potential bias. These behaviors contrast with earlier studies that emphasized uncritical reliance on AI tools, highlighting the emergence of critical digital literacy in this context. The findings suggest that AI can serve not only as a comprehension aid but also as a scaffold for cognitive and ethical engagement. When paired with explicit instruction, AI tools hold promises for fostering critical literacy and responsible use of technology in EFL education. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2025 – Name: AN Label: Accession Number Group: ID Data: EJ1479855 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 795 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Computer Software Type: general – SubjectFull: Teaching Methods Type: general – SubjectFull: Technology Integration Type: general – SubjectFull: English (Second Language) Type: general – SubjectFull: Majors (Students) Type: general – SubjectFull: Student Attitudes Type: general – SubjectFull: Intervention Type: general – SubjectFull: Reading Skills Type: general – SubjectFull: Reading Comprehension Type: general – SubjectFull: Student Motivation Type: general – SubjectFull: Scaffolding (Teaching Technique) Type: general – SubjectFull: Ethics Type: general – SubjectFull: Critical Literacy Type: general – SubjectFull: Digital Literacy Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Reading Instruction Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Thailand Type: general Titles: – TitleFull: From Passive Answers to Active Inquiry: How AI Supports Critical Reading in EFL Classrooms Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nuchsara C. Thongsan – PersonEntity: Name: NameFull: Neil J. Anderson IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2630-0672 – Type: issn-electronic Value: 2672-9431 Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: LEARN Journal: Language Education and Acquisition Research Network Type: main |
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