—STRATEGIC ADVISORY FOR HUMAN-CENTERED EDUCATION
Where AI Research Meets Classroom Practice
Applied research on developing the human capacities foundational to human intelligence.
As AI systems handle routine cognitive tasks, schools face an urgent question: what remains distinctly human?
Connected Classroom identifies these capacities and develops practical solutions for cultivating them. Our research emerges from active K–12 practice tested in real classrooms, validated through over 40 publications, and refined through advisory work with schools and businesses navigating the AI transition.
RESEARCH FOUNDATIONS
Core Frameworks
The Unautomatable Framework
Eleven human capacities that remain irreplaceable in an AI-mediated world: adaptive intelligence, moral and ethical judgment, and creative problem-solving and expression.
Forthcoming — MIT Press
The Dialogic Learning Model
A methodology for using AI as a thinking catalyst rather than a thinking substitute. Positions technology as questioner, not answer-provider which keeps students in the cognitive driver's seat.
connectedclassroom.org
Cognitive Development & AI
How algorithmic environments affect attention, agency, and intellectual development. Research on cognitive offloading, analytic atrophy, and protecting developmental space.
Psychology Today — "The Algorithmic Mind"
The Intelligence Suite
Applied tools built on deep pedagogical research. Six free learning applications for curriculum design, differentiation, interdisciplinary planning, inquiry, and assessment.
connectedclassroom.org
ADVISORY SERVICES
School Leadership Advisory
Strategic planning for AI integration that protects developmental space and prioritizes human capacity over technological efficiency.
Curriculum Design
Competency-based learning frameworks that prioritize capability over compliance and develop the skills that become more valuable in an AI mediated world.
Professional Development
Training educators to use AI dialogically, not delegatively. Sessions grounded in classroom practice and the Dialogic Learning Model.
Speaking & Keynotes
Conference presentations on human-centered AI in education, cognitive development, cognitive privacy, and the need for education to become more human.
PUBLICATIONS
Unautomatable: The Human Capacities that Make Learning Meaningful
MIT Press In peer review
Psychology Today, 30+ articles, 300K+ readers
The Cognitive Privacy Project White Paper 2026
The Limits of AI in the Classroom
Chalkbeat First Person
Teaching Students to Questions the Machine
Sage Social Sciences Publication
Connected Classroom
FEATURED
Speaking & Media
Frankfurter Allgemeine Sonntagszeitung (FAZ) "Denkt hier noch jemand selbst?" (Is Anyone Still Thinking for Themselves?)
Featured expert on AI and cognition, March 2026
The Business of Enterprise AI
Enterprise AI and cognitive privacy analysis
Pennsylvania School Board Association
AI Implementation Needs a Human-Centered Approach
Council for Independent Colleges
Hyper Personalized Learning with AI (faculty)
Coaching Ethics Forum
AI Ethics at the Systems Level: Governance, Development, Democracy, and Power
21st Century AI Conference, Jakarta
How Creative AI Dialogue Can Restore Critical Thinking
Frankford Friends School
Thinking About AI and Learning
Jordan EdTech Conference, Amman
Multi-Modal Media Literacy
Featured on podcasts discussing AI and cognition, assessment design, cognitive security, and protecting critical thinking in education.
Advisory clients include schools and education organizations navigating AI integration. Engagements are confidential.
Advisory
Timothy Cook
Timothy Cook is the Director of the Cognitive Privacy Project, founder of Connected Classroom, and an elementary teacher in Amman, Jordan. His book Unautomatable: The Human Capacities That Make Learning Meaningful is in peer review with MIT Press. He writes "The Algorithmic Mind" column for Psychology Today, reaching over 300,000 readers, and publishes enterprise AI analysis for the Business of Enterprise AI. Timothy has advised the Council on Strategic Risks on AI and cognitive security, consulted with Takeda researchers on AI-integrated pharmaceutical learning design, presented to Council of Independent Colleges and Pennsylvania School Board Association on the foundational skills essential for human development, and contributed to the Coaching Ethics Forum's work on AI ethics and childhood development. His research on cognitive privacy has been featured in the Frankfurter Allgemeine Sonntagszeitung and across five podcasts on AI, education, and human development. He holds an M.Ed. from The College of New Jersey and has taught across five countries over 13 years.
STRATEGIC ADVISOR · EDUCATOR · RESEARCHER