I'm Robert Foreman, a Doctoral Student in Educational Technology at Central Michigan University, committed to revolutionizing special education through the power of AI and technology.
My research centers on developing adaptive learning platforms that use AI to enhance individualized education plans (IEPs) and personalized learning strategies for students with autism and other special needs. By integrating cutting-edge technology into education, I aim to address the critical shortage of special education teachers and empower educators with tools to provide truly tailored learning experiences.
This blog is dedicated to exploring the intersection of AI, technology, and special education. Whether you're an educator, parent, or advocate passionate about advancing education for neurodiverse learners, you'll find innovative ideas, research insights, and forward-thinking strategies to inspire and inform.
Join me as we harness the potential of technology to transform education and create brighter futures for all learners.
A recent systematic literature review by Jonathan Álvarez Ariza & Carola Hernández Hernández (International Journal of Science and Mathematics Education) highlights groundbreaking interventions that improve access and success…
Artificial Intelligence (AI) is transforming educational and behavioral support strategies, offering dynamic tools to enhance student outcomes. The recent article “AI for Behavioral Support” by Farhana Mahjabeen explores…
Designing for Every Mind: Making Digital Spaces Work for People with Cognitive Disabilities Inspired by Guilherme de Abreu Lessa’s article in Engenharias (Jan 2025) We interact with technology…
Have you ever been in a situation where the environment was so overwhelming that you felt you couldn’t cope? Imagine loud sirens blaring, bright strobe lights flashing, people…
A recent study published in The Journal of Pediatrics sheds light on the intersection of autism, weight status, race, and ethnicity in U.S. children aged 6-17. This large-scale…
The article, “DSVTN-ASD: Detection of Stereotypical Behaviors in Individuals with Autism Spectrum Disorder using a Dual Self-Supervised Video Transformer Network,” presents a novel AI approach to detect repetitive…
The article, “The Effect of Digital Media on the Development of Early Childhood Reading Skills,” examines how e-books, educational apps, and multimedia platforms impact literacy. It explores the…
The article, “Using Artificial Intelligence and Game Theory to Enhance Executive Function Development in People with ASD: Strategic Interventions and Applications,” explores innovative methods leveraging AI and Game…
The article, “The Use and Future of Social Humanoid Robots in Special Education: A Systematic Review,” investigates the application of robots like NAO, ZENO, and KASPAR in autism…
As someone who is passionate about improving the lives of autistic students, their families, and educators, I often think about this question: What would the perfect SPED classroom…
The article, “Leveraging Digital Tools for Enhancing Assessments in Early Childhood Education,” explores how tools like Cognito, Reading Eggs, and augmented reality (AR) enhance child assessments across cognitive,…
AI’s Role in Autism Diagnosis: Transforming Research The article, “The Emergence of Artificial Intelligence in Autism Spectrum Disorder Research,” reviews how AI, particularly machine learning, deep learning, and…
The article, “Machine Learning and Biosignals in the Diagnosis of Autism: A Systematic Literature Review,” examines advancements in AI and biosignal technologies for diagnosing autism spectrum disorder (ASD)….
The article, “Early Diagnosis of Autism: A Review of Video-Based Motion Analysis and Deep Learning Techniques,” examines video-based methods for identifying autism spectrum disorder (ASD) through AI and…
The article, “Enabling Communication Tools for Kids with Disabilities,” explores the development and use of Augmentative and Alternative Communication (AAC) systems to aid children with speech and language…