c.o.n.n.e.c.t.e.d l.e.a.r.n.i.n.g.
Welcome to this centralized space where we explore the transformative intersection of AI and learning. In my 20+ years in web, digital learning, and EdTech integration, I consistently view tech as a 🛠️ tool for learning. We are now in a space where AI has the potential to be leveraged in a way never seen before — to be a 🚀 rocket-fueled expander of human potential.
My greatest skill is a humble one, as a Collaborative Learning Connector. In today's rapidly evolving landscape, the way we acquire knowledge is fundamentally shifting. Yet at the core, what remains constant is our capacity to learn together, to be curious together, and to amplify each other's growth.
This isn't just about using technology as a tool. It's about harnessing AI's unprecedented ability to accelerate our collective understanding and expand what's possible when we connect, collaborate, and learn as a community. Here you'll find resources, insights, and opportunities to join the conversation as we navigate this exciting frontier together.
Let's connect the dots together... to discover what we can achieve when human curiosity meets AI's exponential potential.
AI Leveraged Learning
PACE
TheEcosystem
AI catapults 🚀 Vygotsky's (1978) Zone of Proximal Development (ZPD) seminal framework on learning from MKOs, More Knowledgeable Others.
AI-Leveraged learning is Personalized, Adaptive & Collaborative
- AI platforms can analyze learner interactions and performance data to dynamically group individuals with complementary skill sets, fostering peer-to-peer scaffolding within shared ZPDs.
- AI agents function as advanced MKOs, offering nuanced, adaptive feedback that evolves with the learner's progress, suggesting optimal challenges, and providing tailored hints or explanations precisely when and where they are needed.
AI extends collaborative learning beyond the limitations of human MKOs by offering continuous, scalable, and personalized support, effectively optimizing each learner's journey through their ZPD in a collective learning context.
Research
PACE model research
Rocky Mountain AI Interest Group (RMAIIG) Member Showcase:
white paper
Ed.D. EdTech dissertation
Dissertation: Examining the Experiences of Online Professional Development: A Teacher Education Twitter-Based Professional Learning Network (2020).
Themes of collaborative learning, Communities of Practice, microlearning, mentorship and coaching, Professional Development and Leadership Development, mLearning, eLearning, social constructionism, constructivism.
Curriculum
We glean insights from these experts on how the PACE model amplifies learning that is Personalized, Adaptive, & Collaborative. For more information on our Iterative Curriculum, explore our comprehensive book, AI Leveraged Learning, co-authored by industry-led AI trailblazers in:
🏢 Learning & Development
🎖️ Military, Government, & National Security
🚀 Aerospace
🤝 Nonprofit & Community Impact
🎓 Higher Education
🏫 K–12
This resource offers 4 interconnected elements:
- 1First, the guiding framework developed by our expert authors provides the theoretical foundation
- 2Second, our iterative curriculum gives you access to real-world applications from these same experts, showing how their framework translates into practice within their specialized fields.
- 3Third, you'll join a growing community of learners exploring these same topics. Here's where the C in our PACE model truly comes alive. This space invites you to collaborate and learn together—sharing resources, samples, case studies, and the newest releases.
- 4Fourth & last, Coaching opportunities. Through the Learning Lab community, you'll have access to no-cost and fee-based experts in your specific industry available to coach and mentor. Learning with MKOs More Knowledgable Others as a part of your self-customized learning path. (Vygotsky, 1978)