Wie sich KI im Bildungsbereich als Win-Win nutzen lässt
To be clear, AI is not the root cause of cheating. Cheating happens because schoolwork is hard and high stakes.
And schoolwork is hard and high stakes because learning is not always fun and forms of extrinsic motivation, like grades, are often required to get people to learn.
People are exquisitely good at figuring out ways to avoid things they don’t like to do, and, as a major new analysis shows, most people don’t like mental effort.
So, they delegate some of that effort to the AI.
In general, I am in favor of delegating tasks to AI (the subject of my new class on MasterClass), but education is different - the effort is the point.
Wenn man KI nutzt, um sich beim Nachdenken helfen zu lassen, lernt man:
A recent deep qualitative study of teachers found that teachers who used AI for both output (create a worksheet, develop a quiz) and to help with input (help me think through what makes a Great American novel, give me ways to explain positive and negative numbers) get more value than if they use AI for producing output alone.
This points to a useful path forward in AI for education, using it as a co-intelligence and tool for helping humans do better thinking.
Increasingly, AI is being used in the same way for students, pushing them to think, rather than use AI as a crutch.
For example, we have released multiple prompts, all under a free Creative Commons license, that instructors can customize or modify for their classrooms (here is deep dive into one of them - a simulator prompt).
These sorts of prompts are designed to expose Illusory Knowledge, forcing students to confront what they know and don’t know. Many other educators are designing similar exercises.
In doing so, we can take advantage of what makes AI so promising for teaching - its ability to produce customized learning experiences that meet students where they are, and which are broadly accessible in ways that past forms of educational technology never were.
Der ganze Post von Ethan Mollick:
