AI Just Validated Everything That’s Wrong About Education
11 apr 2025 ·
11 min. 8 sec.
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Descrizione
Greg Twemlow's article argues that a new AI training method, RARE (Retrieval-Augmented Reasoning), validates the long-held belief that education should prioritise deep thinking over mere memorisation. This AI paradigm shift,...
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Greg Twemlow's article argues that a new AI training method, RARE (Retrieval-Augmented Reasoning), validates the long-held belief that education should prioritise deep thinking over mere memorisation. This AI paradigm shift, inspired by Bloom's Taxonomy, focuses on enabling AI to retrieve information for reasoning rather than storing vast amounts of data. Twemlow contends that this mirrors how effective human cognition works and highlights the flaws in an education system obsessed with rote learning and recall. He suggests that RARE demonstrates the importance of cultivating critical thinking and contextual application, advocating for assessments that measure a learner's ability to reason with information. Ultimately, Twemlow sees this AI development as a validation for educators striving to shift the focus from knowledge accumulation to cognitive adaptability and the ignition of creative thought. Read the article.
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 (™).
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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 (™).
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