Technology Review of Magic School AI: An Intelligent Way for Education Inclusivity and Teacher Workload Reduction

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Publicat a:Education Sciences vol. 15, no. 8 (2025), p. 963-982
Autor principal: Li Xiaying
Altres autors: Li, Belle, Li, Jianing, Su-Je, Cho
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MDPI AG
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024 7 |a 10.3390/educsci15080963  |2 doi 
035 |a 3244010477 
045 2 |b d20250101  |b d20251231 
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100 1 |a Li Xiaying  |u Division of Curriculum and Teaching, Fordham University, New York, NY 10023, USA 
245 1 |a Technology Review of Magic School AI: An Intelligent Way for Education Inclusivity and Teacher Workload Reduction 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Students with special needs often require more assistance and attention to meet their educational needs. However, schools frequently grapple with a critical shortage of special education teachers and support staff. This shortage of special education teachers can result in limited resources for general and subject teachers (e.g., math, science), making it challenging to provide individualized support to students with special needs. Specifically, subject teachers may struggle to design effective curricular content modifications and accommodations for such students without the guidance and suggestions of special education teachers. Artificial Intelligence (AI) technologies can provide some support for teachers and schools in meeting the needs of students with special needs. Also, AI may help reduce teachers’ workload. In this technology review, we assess the capabilities of Magic School AI (MSAI) in providing accommodations and modifications to assist teachers in streamlining their workload and fostering inclusivity in their classrooms. We examined five functions: text leveler, text scaffolders, assignment scaffolder, exemplar and non-examples, and sentence starters. Additionally, we discuss the limitations of MSAI and conclude by suggesting potential improvements for the system. 
653 |a Students 
653 |a Collaboration 
653 |a Learning disabilities 
653 |a Inclusive education 
653 |a Artificial intelligence 
653 |a Learning 
653 |a Influence of Technology 
653 |a Addition 
653 |a Equal Education 
653 |a Individualized Programs 
653 |a Educational Technology 
653 |a Individualized Instruction 
653 |a Language Impairments 
653 |a Special Needs Students 
653 |a Individualized Education Programs 
653 |a Art Teachers 
653 |a Access to Education 
653 |a Student Needs 
653 |a General Education 
653 |a Expectation 
653 |a Data Analysis 
653 |a Grade 9 
653 |a Instructional Material Evaluation 
653 |a Grade 11 
653 |a Grade 7 
653 |a Autism Spectrum Disorders 
653 |a Learner Engagement 
653 |a Educational Strategies 
653 |a Educational Equity (Finance) 
700 1 |a Li, Belle  |u Department of Curriculum and Instruction, Purdue University, West Lafayette, IN 47907, USA 
700 1 |a Li, Jianing  |u Division of Curriculum and Teaching, Fordham University, New York, NY 10023, USA 
700 1 |a Su-Je, Cho  |u Division of Curriculum and Teaching, Fordham University, New York, NY 10023, USA 
773 0 |t Education Sciences  |g vol. 15, no. 8 (2025), p. 963-982 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3244010477/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3244010477/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3244010477/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch