Making sense of AI
Imagine introducing high-quality AI tutors into the flipped classroom model. These AI-powered systems have the potential to significantly enhance the learning experience for students and make flipped classrooms even more effective. They provide personalized learning, where AI tutors can tailor instruction to each student’s unique needs while contin
... See moreEthan Mollick • Co-Intelligence: Living and Working With AI
It may be that working with AI is itself a form of expertise. It is possible that some people are just really good at it. They can adopt Cyborg practices better than others and have a natural (or learned) gift for working with LLM systems. For them, AI is a huge blessing that changes their place in work and society. Other people may get a small gai
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Some were assigned to use AI and some were not. The results were nothing short of astonishing. Participants who used ChatGPT saw a dramatic reduction in their time on tasks, slashing it by a whopping 37 percent. Not only did they save time, but the quality of their work also increased as judged by other humans. These improvements were not limited t
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Faster and better results with ChatGPT?
The issue is that in order to learn to think critically, problem-solve, understand abstract concepts, reason through novel problems, and evaluate the AI’s output, we need subject matter expertise. An expert educator, with knowledge of their students and classroom, and with pedagogical content knowledge, can evaluate an AI-written syllabus or an AI-
... See moreEthan Mollick • Co-Intelligence: Living and Working With AI
The Homework Apocalypse threatens a lot of good, useful types of assignments, many of which have been used in schools for centuries. We will need to adjust quickly to preserve what we are in danger of losing and to accommodate the changes AI will bring. That will take immediate effort from instructors and education leaders and clearly articulated p
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But there are already signs that AI can help. Research has successfully demonstrated that it is possible to correctly determine the most promising directions in science by analyzing past papers with AI, ideally combining human filtering with the AI software. And other work has found that AI shows considerable promise autonomously conducting scienti
... See moreEthan Mollick • Co-Intelligence: Living and Working With AI
Another key aspect of idea generation is to embrace variance. Research shows that, to find good novel ideas, we likely have to come up with many bad novel ideas because most new ideas are pretty bad. Fortunately, we are good at filtering out low-quality ideas, so if we can generate novel ideas quickly and at low cost, we are more likely to generate
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As humans are good at filtering out low-quality ideas, generating lots of ideas quickly is a great use for AI