Document Type
Article
Publication Date
9-9-2025
Pages
1-25
Abstract
Multi-tiered systems and support (MTSS) offers a framework for schools to provide equitable learning opportunities. However, implementing MTSS with fidelity can be challenging due to limited resources that many schools experience. As a result, more educators are turning to artificial intelligence (AI) tools as a solution to resource limitations. This article examines how AI tools can strengthen MTSS, specifically, improvement to inclusive practices, data analysis, intervention implementation, progress monitoring, personalized learning, student engagement, and teacher efficiency. The article also examines potential risks related to using AI tools within MTSS such as ethical considerations, date security, data quality, bias potential, financial limitations, and professional development needs. Additionally, practice implications are provided to guide school psychologists in leading responsible AI implementation within MTSS frameworks.
Recommended Citation
Reichart, Kaitlin; Lockwood, Adam B.; and Bohanon, Hank. AI-Driven Systems in MTSS: Potential Opportunities and Challenges. , , : 1-25, 2025. Retrieved from Loyola eCommons, Education: School of Education Faculty Publications and Other Works, http://dx.doi.org/10.31234/osf.io/gpd36_v1
Creative Commons License
This work is licensed under a Creative Commons 1.0 Public Domain Dedication.
Copyright Statement
© The Author(s), 2025.
Comments
Author Posting © The Author(s), 2025. This is a preprint article available on PsyArXiv, https://doi.org/10.31234/osf.io/gpd36_v1.