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

• Published in: Education sciences Vol. 15; no. 8; p. 963
• Main Authors: Li, Xiaying, Li, Belle, Li, Jianing, Cho, Su-Je
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 25.07.2025
• Subjects: Access to Education; Addition; Art Teachers; Artificial intelligence; Autism Spectrum Disorders; Collaboration; Data Analysis; Educational Equity (Finance); Educational Strategies; Educational Technology; Equal Education; Expectation; General Education; Grade 11; Grade 7; Grade 9; Inclusive education; Individualized Education Programs; Individualized Instruction; Individualized Programs; Influence of Technology; Instructional Material Evaluation; Language Impairments; Learner Engagement; Learning; Learning disabilities; Special Needs Students; Student Needs; Students
• ISSN: 2227-7102; 2227-7102
• DOI: 10.3390/educsci15080963

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.