Episode Details
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How to personalize and adapt the learning experience
Season 1
Episode 30
Published 1 year, 6 months ago
Description
This excerpt from Greg Twemlow's Medium article introduces QformIQ©, a revolutionary educational framework that integrates Q-learning principles into the classroom. Q-learning, a type of reinforcement learning pioneered by Chris Watkins and Peter Dayan, uses reward systems to guide and shape the learning process. QformIQ© relies on XperientialAI's Formative Assessment Tool to measure student progress across different skills and behaviors, providing educators with actionable data to personalize learning experiences. By adapting to individual student needs, QformIQ© fosters a dynamic learning environment that promotes student growth and empowers them to become future leaders and innovators. The article emphasizes the reliability and reputation of Q-learning research, highlighting its wide range of applications in various fields. Ultimately, it aims to establish QformIQ© as a powerful tool for personalized education by bridging the gap between Q-learning theory and classroom practice.
About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).