以下是为您整理的关于大学生用 AI 听录数学课的相关信息:
在教育领域,AI 为学习带来了新的可能性和变革。例如,教育科技长期以来在有效性和规模之间权衡,而有了 AI 后,可大规模部署个性化学习计划,为每个用户提供“口袋里的老师”,能理解独特需求并回答问题或测试技能。像 Photomath 和 Mathly 这样的应用能指导学生解决数学问题。
但在使用 AI 辅助学习时也需注意一些问题。比如在数学学习中,如果让学生使用 AI 检查过程,应确保他们先学会数学流程。使用 AI 时,不能让机器代替我们学习,应根据学习任务来决定是否使用以及如何使用 AI ,比如在编程课上可能先让学生手动编码再使用 AI 生成的代码节省时间,而在健康课上开发相关应用时可能对使用生成式 AI 写代码的限制较宽松。
总之,AI 能为数学学习提供帮助,但要合理、有针对性地使用。
If you’re teaching an art class,you might not want AI-generated images but you might embrace AI-generated images in a history class where students work on making infographics to demonstrate their understanding of macroeconomics principles.It might feel like cheating for a student in a film class to use AI for video editing but the AI-generated jump cuts might save loads of time in a science class where students demonstrate their learning in a video.In a film class,it’s critical for students to learn how to edit by hand in order to tell a story.In science,AI-generated jump cuts allow students to create videos quickly so they can focus on the science content.I also want to recognize that some of what students learn can and will become obsolete.I’m pretty sure I didn’t actually need to memorize the state capitols,for example.Which leads me to the next question...But What If We Don’t Need That Skill Anymore?I grew up in an era where teachers were moving away from memorization.We still had to memorize math facts and,for some reason,state capitols.I’ve never visited a state and thought,“Man,I really need to see the capitol.” If I’m Nevada,I’m not like,“Screw Vegas,I’m going to Carson City!”But,for the most part,we had moved past memorization.We were now in a largely print-based culture and memorization just wasn’t too important anymore.For many people,this tradeoff is a good thing.Why memorize it if you can access the knowledge with technology?However,when I was in college,I decided to memorize key texts that I wanted with me at all times.I memorized Bible verses and Shakespearan stanzas.I memorized an ee cummings poem and a quote from bell hooks.I memorized Stoic passages and the every word of the Bill of Rights.
教育科技长期以来一直在有效性和规模之间做权衡。为大众打造有效的解决方案,就会失去吸引个体的个性化。为满足个体的需求而打造完美的解决方案,却又难以扩展。有了AI,这种状况不再存在。我们现在可以大规模部署个性化的学习计划,为每个用户提供一个“口袋里的老师”,这个老师理解他们独特的需求,并可以回答问题或测试他们的技能。想象一个由AI驱动的语言老师,能够实时交流,并对发音或措辞给予反馈。[Speak](https://www.speak.com/)、[Quazel](https://www.quazel.com/)和[Lingostar](https://www.lingostar.ai/)已经在做这样的事情!我们已经看到了教授新概念或帮助学习者在几乎所有学科中“摆脱困境”的产品。像[Photomath](https://photomath.com/en)和[Mathly](https://mathly.webflow.io/)这样的应用指导学生解决数学问题,而[PeopleAI](https://chatbotkit.com/apps/peopleai?ref=theresanaiforthat)和[Historical Figures](https://twitter.com/scottbelsky/status/1611244139764649991)通过模拟与杰出人物的聊天来教授历史。除了学习特定的科目,学生们还在他们的作业中利用AI助手。像Grammarly、[Orchard](https://orchard.ink/)和[Lex](https://lex.page/~)这样的工具帮助学生克服写作难题,并提升他们的写作水平。处理其他形式内容的产品也在全国各地的中学和大学中越来越受欢迎——例如,[Tome](https://beta.tome.app/)和[Beautiful.ai](https://www.beautiful.ai/)协助创建演示文稿。了解更多关于[AI时代学习的未来](https://a16z.com/2023/02/08/the-future-of-learning-education-knowledge-in-the-age-of-ai/)。
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.