Year: 2025
Type: article
Abstract: The Multi-Tiered System of Supports (MTSS) represents a comprehensive framework designed to address students’ diverse academic needs through evidence-based practices. At its core, MTSS employs a preventative approach that requires educators to utilize data-driven decision-making for program development, instructional refinement, targeted interventions, and comprehensive support mechanisms. The integration of Artificial Intelligence (AI) into MTSS practices offers significant potential to enhance both the precision and efficiency of these educational processes (Cardona et al. 2023). This article discusses current research literature and emerging practices on AI implementation within MTSS frameworks, examining how AI can facilitate differentiated instruction and inform educational decision-making. By illustrating concrete applications and addressing implementation challenges, we provide education stakeholders — including classroom teachers, school administrators, educational researchers, and policymakers — with practical knowledge and strategic insights necessary to effectively navigate this rapidly evolving technological landscape while maintaining focus on improving outcomes for all students.
Source: Theory Into Practice
Authors: Yusra Ahmed, Michael P. Mesa, Tricia A. Zucker, Keisey Fumero, Madeleine Clay, Santiago O. Duran
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4412348193