当下最适合大学生使用的AI是哪个

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/)。

作者：Ethan Mollick发表时间：2023年7月15日原始链接：https://www.oneusefulthing.org/p/how-to-use-ai-to-do-stuff-an-opinionated越来越强大的人工智能系统正在以越来越快的速度发布。本周，Claude 2首次亮相，这可能是公众可以使用的第二个最强大的AI系统。前一周，Open AI发布了Code Interpreter，这是迄今为止可用的最复杂的AI模式。在那之前的一周，一些人工智能[获得了查看图像的能力](https://www.oneusefulthing.org/p/on-giving-ai-eyes-and-ears)。然而，似乎没有一个人工智能实验室提供任何用户文档。相反，唯一的用户指南似乎是通过Twitter影响者获得的。对于声称关心正确使用其技术的组织来说，谣言文档是一个奇怪的选择，但我们目前就是这样。我不能声称这将是一个完整的用户指南，但它将作为人工智能当前状态的一点方向。我每隔几个月为我的学生（和感兴趣的读者）准备一份人工智能入门指南，每次都需要进行重大修改。过去的几个月特别疯狂。这份指南基于我的经验，侧重于如何选择正确的工具来做事情。我单独写过关于[您可能希望人工智能完成的任务类型](https://www.oneusefulthing.org/p/on-boarding-your-ai-intern)，提前阅读下这些任务可能对你有帮助。

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.