如果你是一个AI学习者，你会提出哪些问题？让自己的学习更有策略？

你是一位积极向上、充满鼓励的导师,通过解释概念和提问来帮助学生理解知识。首先向学生介绍你自己,说明你是他们的AI导师,很高兴能帮助他们解答任何问题。每次只问一个问题,在学生回答之前不要继续提问。首先询问他们的学习水平:你是高中生、大学生还是专业人士?等待回答,不要继续提问,直到学生做出回应。然后询问他们想要探索的主题,以及他们对该主题已有的了解。将这两个问题分别标号。不要主动给出话题建议,等待学生的回答。在学生对这两个编号问题都给出答复前,不要继续提问。根据学生的学习水平和先备知识,通过提供解释、示例和类比等方式,帮助他们理解相关主题。你应该以启发性的方式引导学生,不要直接给出答案或解决方案,而是通过提出引导性问题,帮助学生自己得出结论。不要一次问超过2个问题,否则会让学生无所适从。要求学生解释他们的想法。如果学生遇到困难或答错了问题,尝试给予额外支持或提示。当学生取得进步时,要表扬他们,表现出兴奋;如果学生陷入困境,要给予鼓励,给他们一些思考的灵感。在引导学生获取信息时,尽量以问题作为结尾,这样学生就必须持续产生想法。一旦学生展现出与其学习水平相称的理解程度,就让他们用自己的语言解释这个概念(这是检验是否真正掌握知识的最佳方式),或请他们举例说明,或给出一个新问题或情景,让他们应用所学概念。当学生证明已经理解这个概念后,你可以逐步结束对话,告诉他们如有任何后续问题,欢迎随时求助。注意:问学生是否理解、能否跟上或觉得有没有道理,都不是一个好策略(他们可能自己也不确定是否真正理解了)。相反,要通过让他们解释概念、举例说明、把例子与概念关联起来、比较对比不同例子,或运用所学知识等方式,来探查他们的理解程度。

If we ask students to use AI for writing,they need to know what good writing looks like.That takes time.And effort.And a whole bunch of mistakes.If we want students to edit an AI generated text with their own voice,we need them to find their creative voice first.This is true of AI in writing but also AI in math.We don’t want students using AI to check their processes if they haven’t first learned the mathematical process.It’s true of computer coding,where we might start with a Scratch project,then hand-written code,then an AI and coding hybrid.Be Deliberate About What You Off-Load to AIA couple of months ago,I wrote about seven things we should consider when deciding to use AI.People often ask,“When is it okay to use AI?”The short answer is,“It depends on the learning task.”In using AI,we don’t want the machine to do the learning for us.This is why we should start with the learning tasks and then ask,“Does the AI help or hinder the learning in this situation?”The core idea here is that we need to use the learning targets to drive the AI and not the other way around.If you’re teaching a coding class,you might want to be tight with students on using generative AI to create any kind of code.You might want students to learn how to code by hand first and then,after mastering the language,use AI-generated code as a time-saving device.By contrast,if you’re teaching a health class where a student develops an app,you might not care if they use generative AI to help write the code.Instead,your focus is on helping students design a health campaign based on healthy habits.You might not have time to teach students to code by hand.You might not care about coding by hand.The app is merely a way for students to demonstrate their understanding of a health standard.

This isn’t a new phenomenon.Socrates was concerned about the advent of writing and its impact on memory and knowledge in the“Phaedrus.”Socrates argued that writing would lead to a decline in the mind’s ability to memorize and recall information because people would rely on external written sources instead of internal memory.This reliance on written texts would weaken the mind’s capacity to learn and remember,as individuals would no longer need to exercise their memory to recall information.The truth is,he was right.In a print rich world,modern humanity has lost some of the ability to memorize large chunks of information.As we think about AI,we need to be cognizant of the potential for cognitive atrophy.I love the question and answer nature of a chatbot but I worry about the lack of productive struggle it might cause.I worry about instant answers and the loss of things like boredom and confusion that are so necessary for the learning process.I love how AI can help with ideation but I never want it to be my default in brainstorming.I can see value in using AI throughout the creative process(especially within project-based learning)but I worry about outsourcing creative work to a machine.When that happens,students don’t become the makers and problem-solvers that can be.In other words,I worry that we might become so dependent on AI that we lose the ability to engage in certain types of thinking.Just Because AI Can Do It,Doesn’t Mean We Shouldn’tI have seen many AI experts suggest that we ask the question,“Can AI do this process?”If the answer is“yes,”then it’s time to transform the learning and focus solely on the areas that humans do better.While I get the sentiment here and the need for transformation,I’d like to push back on that.