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 study, “Prenatal Placental Metal Accumulation and Its Association with Child ADHD and Autism Symptoms at 3 Years of Age: The Role of Psychosocial-Environmental Support in Infancy”…
A recent study, “The Role of Artificial Intelligence for Early Diagnostic Tools of Autism Spectrum Disorder: A Systematic Review” by Solek et al. (2025), explores how AI-driven diagnostic…
A recent study, “A Mobile Technology-Based Framework for Digital Libraries: Bridging Accessibility and Personalized Learning” by Fu, Yan, & Chen (2025), explores how mobile technology can transform digital…
A recent dissertation, “The Impact of Enthusiasm-Based Cognitive Behavioral Techniques in Group Settings on Students with Autism Spectrum Disorder” by Rebecca Ryun (2025), explores a new therapeutic approach…
The field of Applied Behavior Analysis (ABA) has long been a cornerstone of autism intervention, yet it remains one of the most hotly debated topics in neurodiversity and…
A recent study, “Family Intensive Behavioral Intervention for Children with Autism Spectrum Disorder: A Half-Year Comparison-Controlled Study” by Wu et al. (2025), examines the effectiveness of family-intensive behavioral…
The higher education landscape is shifting, and universities face a defining moment: adapt and innovate, or risk obsolescence. The traditional university model—focused solely on undergraduate and postgraduate education—must…
A recent study, “Exploring the Link Between Special Educational Needs and Mental Health of Schoolchildren and Their Parents” by Núñez, Pérez-Marín, & Soto-Rubio (2025), sheds light on the…
A recent study, “Systematic Review on AI in Special Education: Enhancing Learning for Neurodiverse Students” by Deckker & Sumanasekara (2025), explores how AI is reshaping special education. The…
A recent study, “Overcoming Communication Barriers and Building Facilitative Patterns for Learners with Disabilities in Self-Contained Classes” by Marinduque & Marquez (2025), examines the challenges faced by special…
In an era dominated by artificial intelligence and digital technologies, universities must urgently rethink their purpose and delivery of education. As a technocrat who understands the potential and…
A recent study, “In Focus: M.Y. Savana Bak, Special Education” by Madison Stromberg (2025), highlights groundbreaking research on social communication in non-speaking and minimally verbal autistic individuals. Dr….
As a Doctor of Educational Technology (DET) student Central Michigan University passionate about designing learning platforms for autistic students, I knew I needed real-world experience. That’s why I…
As I continue my doctoral journey in Educational Technology, one question keeps surfacing: Are we drowning in AI tools while missing the bigger opportunity? I recently reviewed Notion…
A recent study, “Intervention Technology of Aural Perception Controllable Headset for Children with Autism Spectrum Disorder” by Kwong, Yuan, Mung, Chu, Lai, Chan, and Choy (2025), introduces a…