Ever wondered why after Deep Blue topped the best human player Gary Kasparov, and after AlphaGo beat Lee Sedol and Ke Jie, the best human player then, there was no drop in passion and enthusiasm in international chess (Deep Blue) and Go (AlphaGo).
Dear Koo, this blog provides a powerful analogy that resonates with the themes discussed in my article on the Great Learning Disconnect. Both our pieces emphasize the importance of internalizing knowledge and practical application as key drivers of learning engagement. Your blog’s insights on how humans use AI as a tool to enhance their own skills can be directly linked to my discussion on AI learning companions, like Elly (from elendi.ai), which aim to support human learning journeys rather than replace human effort.
Just as AI is used by chess players to level up their skills, organizations should leverage AI learning companions to help employees internalize critical skills and knowledge, bridging the gap between theory and practice.
Organizations should focus on creating learning environments that allow employees to internalize knowledge through practice and application, rather than relying solely on theoretical content or concepts (this complement my comment to your other blog on Tools vs Concepts!): the more employees can see the practical benefits of what they’ve learned, the more engaged they’ll be in their learning journeys.
Learning experiences should be designed to provide continuous feedback and recognition, tapping into the human desire for psychological rewards (cf our ref to dopamin). By celebrating small wins and providing regular feedback, AI learning companions can keep learners motivated and engaged over time.
Organizations should shift their perception of AI in L&D from a threat to a valuable tool. AI learning companions like Elly can work alongside human trainers to deliver personalized, scalable learning experiences, ensuring that employees get the support they need to succeed. Just as chess players use AI to improve their skills and internalize new skills.
It's a very good observation, Koo. Just because something or someone can do the do the job better than you doesn't mean you can't still derive pleasure from doing it. The same will go for the use of AI in creative arts; the joy is in the making as much as in the quality of the finished product.
Yes! This point is also leading me down the question of UBI really did fail or not and also how to build better "jobs". I do believe that UBI can help to better allocate and match skill proficiencies to competencies, meaning people can have time to learn and train up with the free time provided by UBI. Followed by people can then choose the job they will be more motivated to do etc.
Dear Koo, this blog provides a powerful analogy that resonates with the themes discussed in my article on the Great Learning Disconnect. Both our pieces emphasize the importance of internalizing knowledge and practical application as key drivers of learning engagement. Your blog’s insights on how humans use AI as a tool to enhance their own skills can be directly linked to my discussion on AI learning companions, like Elly (from elendi.ai), which aim to support human learning journeys rather than replace human effort.
https://tinyurl.com/y7234sbz
What came to my mind reading your blog:
Just as AI is used by chess players to level up their skills, organizations should leverage AI learning companions to help employees internalize critical skills and knowledge, bridging the gap between theory and practice.
Organizations should focus on creating learning environments that allow employees to internalize knowledge through practice and application, rather than relying solely on theoretical content or concepts (this complement my comment to your other blog on Tools vs Concepts!): the more employees can see the practical benefits of what they’ve learned, the more engaged they’ll be in their learning journeys.
Learning experiences should be designed to provide continuous feedback and recognition, tapping into the human desire for psychological rewards (cf our ref to dopamin). By celebrating small wins and providing regular feedback, AI learning companions can keep learners motivated and engaged over time.
Organizations should shift their perception of AI in L&D from a threat to a valuable tool. AI learning companions like Elly can work alongside human trainers to deliver personalized, scalable learning experiences, ensuring that employees get the support they need to succeed. Just as chess players use AI to improve their skills and internalize new skills.
It's a very good observation, Koo. Just because something or someone can do the do the job better than you doesn't mean you can't still derive pleasure from doing it. The same will go for the use of AI in creative arts; the joy is in the making as much as in the quality of the finished product.
Yes! This point is also leading me down the question of UBI really did fail or not and also how to build better "jobs". I do believe that UBI can help to better allocate and match skill proficiencies to competencies, meaning people can have time to learn and train up with the free time provided by UBI. Followed by people can then choose the job they will be more motivated to do etc.