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Buffer Zone Learning: AI-enhanced Feedback for Judgment-free Knowledge Demonstrations
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When it comes to proving one's knowledge, is there any greater demonstration than real-time application? Probably not. But, we can't always ask our people to apply their knowledge without ascertaining a high level of certainty that they won't make a big, hairy, dangerous mistake. So, what can we do? Why don't we take a page from Academia, and observe those who expand their knowledge to its limits by pursuing terminal degrees? In a dissertation defense, those seeking doctorates must (often orally) demonstrate the impenetrability of their research and knowledge.
Naturally, not every learner in every organization can be afforded a review committee to ensure the knowledge they acquire is as lock-tight. And in most cases, that kind of learning doesn't require such depth of revision. Yet, presenting one's knowledge in this way is understood to be an effective method for demonstrating mastery. So, can we scale a system like this? According to Josh Kamrath, CEO of Bongo, we have the resources to do so, especially if we outsource parts of the work to artificial intelligence.
Join us as we discuss:
Naturally, not every learner in every organization can be afforded a review committee to ensure the knowledge they acquire is as lock-tight. And in most cases, that kind of learning doesn't require such depth of revision. Yet, presenting one's knowledge in this way is understood to be an effective method for demonstrating mastery. So, can we scale a system like this? According to Josh Kamrath, CEO of Bongo, we have the resources to do so, especially if we outsource parts of the work to artificial intelligence.
Join us as we discuss:
- Factors that complicate the process of transitioning from learning to application
- The impact of demonstrating knowledge and/or teaching on the learning process
- The best methods for optimizing learning while it’s happening
- The importance of keeping humans in the loop when it comes to evaluating learning progress with AI
- The extent to which AI can act as a learning “coach” and give valid, beneficial feedback to human learners
- How learning and the attainment of knowledge is being impacted by AI and algorithms that facilitate or shortcut access to source material
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Episode Resources
Episode Resources
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getAbstract on LinkedIn
L&D In Action: Winning Strategies from Learning Leaders releases every other Tuesday, bringing you conversations from the best minds in Learning and Development.
Previous guests include: Simon Brown of Novartis, Ravin Jesuthasan of Mercer, Michael Lee Stallard of Connection Culture Group, Michelle Weise of Rise and Design and Dr. Nigel Paine of Learning Now TV.
Check out our five most downloaded episodes:
Previous guests include: Simon Brown of Novartis, Ravin Jesuthasan of Mercer, Michael Lee Stallard of Connection Culture Group, Michelle Weise of Rise and Design and Dr. Nigel Paine of Learning Now TV.
Check out our five most downloaded episodes:
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