Enhancing IEP Design in Inclusive Primary Settings Through ChatGPT: A Mixed-Methods Study with Special Educators

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Education Sciences vol. 15, no. 8 (2025), p. 1065-1080
מחבר ראשי: Stergiani, Giaouri
מחברים אחרים: Charisi, Maria
יצא לאור:
MDPI AG
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גישה מקוונת:Citation/Abstract
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024 7 |a 10.3390/educsci15081065  |2 doi 
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045 2 |b d20250101  |b d20251231 
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100 1 |a Stergiani, Giaouri  |u Department of Early Childhood Education, School of Social Sciences and Humanities, University of Western Macedonia, 53100 Florina, Greece 
245 1 |a Enhancing IEP Design in Inclusive Primary Settings Through ChatGPT: A Mixed-Methods Study with Special Educators 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a The integration of Artificial Intelligence (AI) in education has raised important questions about its role in supporting inclusive practices, particularly in special education. This qualitative-dominant study with quantitative support examines how special education teachers in inclusive primary classrooms in Greece use ChatGPT to design Individualized Education Programs (IEPs) for students with learning disabilities. Six teachers participated, with some employing ChatGPT and others relying on traditional methods. The quality of IEP goals was described using the Revised IEP/IFSP Goals and Objectives Rating Instrument (R-GORI), while in-depth teacher perspectives were explored through thematic analysis. Findings suggest that ChatGPT contributed to clearer goal-setting, generation of diverse instructional resources, and more structured lesson planning. However, teachers emphasized the need for critical oversight, adaptation to real-world classroom conditions, and safeguarding the relational and emotional aspects of teaching. Participants expressed cautious optimism, viewing ChatGPT as a valuable support tool when integrated thoughtfully and ethically. These context-specific, exploratory results offer preliminary guidance for educators, policymakers, and researchers seeking to integrate AI tools into special education. They highlight the importance of targeted professional development, ethical safeguards, and further large-scale research to evaluate the broader applicability of AI-assisted IEP planning. 
651 4 |a Greece 
651 4 |a United States--US 
653 |a Teaching 
653 |a Individualized education programs 
653 |a Inclusive education 
653 |a Learning 
653 |a Mixed methods research 
653 |a Artificial intelligence 
653 |a Qualitative research 
653 |a Guidance 
653 |a Educational Research 
653 |a Educational Planning 
653 |a Control Groups 
653 |a Experimental Groups 
653 |a Individualized Programs 
653 |a Academic Accommodations (Disabilities) 
653 |a Interviews 
653 |a Individualized Instruction 
653 |a Best Practices 
653 |a Followup Studies 
653 |a Elementary Education 
653 |a Ethics 
653 |a Mathematics Activities 
653 |a Mathematics Instruction 
653 |a Mathematics Materials 
653 |a Elementary Schools 
653 |a Classrooms 
653 |a Educational Assessment 
653 |a Dyslexia 
653 |a Autism Spectrum Disorders 
653 |a Learning Disabilities 
653 |a Educational Diagnosis 
700 1 |a Charisi, Maria  |u Department of Primary Education, School of Social Sciences and Humanities, University of Western Macedonia, 53100 Florina, Greece; edumal01134@uowm.gr 
773 0 |t Education Sciences  |g vol. 15, no. 8 (2025), p. 1065-1080 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3244010776/abstract/embedded/09EF48XIB41FVQI7?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3244010776/fulltext/embedded/09EF48XIB41FVQI7?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3244010776/fulltextPDF/embedded/09EF48XIB41FVQI7?source=fedsrch