我是一名高中历史老师，请问用什么大模型能帮我做教学设计

推荐一篇文章，一个历史老师用GPT给学生讲课，https://resobscura.substack.com/p/simulating-history-with-chatgpt亮点有两个：1、通过GPT生成一个"沉浸式"历史片段游戏，让学生扮演一个角色"设身处地"的做决策。2、学生的作业是找出GPT的错误。可以试试这个案例，明朝灭亡，南京，1645年5月（GPT3.5）https://chat.openai.com/share/86815f4e-674c-4410-893c-4ae3f1b7412e/continue（文科生未来的作业越来越难了）英文版本：Since January of 2023,I’ve been experimenting with using large language models(LLMs)like ChatGPT as a teaching tool in my history classes at UC Santa Cruz.I’ve been thinking about the implications of AI in teaching since I first began using GPT-2 back in 2019.I have also been following along avidly as my wife[Roya Pakzad](https://www.royapakzad.co/)works on testing the human rights impacts of AI systems(Roya was a consultant for OpenAI in 2022,where she served on the “red team” for adversarial testing of a pre-release version of GPT-4; you can read her account of that work[here](https://royapakzad.substack.com/p/old-advocacy-new-algorithms)).What follows are some thoughts about what I believe to be a novel use of LLMs:using them to simulate interactive historical settings as part of a university assignment.The results of these early trials are why I am personally much more excited about generative AI than many of my colleagues — though I also concede that in the short term,cheating will be a major problem.

For example,imagine a high school student who is asked to analyze the first letter of Hernán Cortés to the Emperor Charles V.The student might dutifully paraphrase the conquistador’s account of the Aztec capital of Tenochititlan — including this[famously jarring description of Aztec temples as “mosques”](https://archive.org/details/fernandocorteshi01cort/page/154/mode/2up)(mezquitas).A history major would be able to go further.Why did Cortés use this confusing term?Cortés was born during the final decade of the[Reconquista](https://en.wikipedia.org/wiki/Reconquista).For this reason,he was intimately acquainted with non-Christian religiosity — but only in the context of Muslim religiosity.A large religious structure that was not a Christian church was for him,almost by default,a mosque — even when it was actually the[Templo Mayor](https://en.wikipedia.org/wiki/Templo_Mayor).Likewise,a history major would be able to recognize that Cortés was writing within a genre — an ambitious subject’s letter to a monarch — which tends toward self-promotion.And they would be able to fact check Cortés’ claims against those of other primary and secondary sources.Perhaps they would conduct some exploratory Google searches along the lines of “primary source conquest of Mexico” or “Aztec account of Cortés.” They might also look around for recent secondary sources by searching library catalogues and the footnotes on Cortés’ Wikipedia page and discover Matthew Restall’s[revisionist take](https://notevenpast.org/when-montezuma-met-cortes-the-true-story-of-the-meeting-that-changed-history-by-matthew-restall-2018/)on the subject.

When history majors encounter LLMs,then,they are already trained to recognize some of the by-now-familiar pitfalls of services like ChatGPT — such as factual inaccuracies — and to address them via skills like fact-checking,analyzing genre and audience,or reading “around” a topic by searching in related sources.Importantly,too,because so many sources are out of copyright and available in multilingual editions on Wikipedia and Wikisource,language models are abundantly trained on historical primary sources in hundreds of different languages.[(1)](https://resobscura.substack.com/p/simulating-history-with-chatgpt#footnote-1-136683347)For these reasons,I agree with Tyler Cowen that language models are[specifically a good thing for historians](https://marginalrevolution.com/marginalrevolution/2023/01/chatgpt-and-the-revenge-of-history.html)— but I would go further and say that they are also specifically a good thing for history majors.On the other hand,I foresee major problems for history teachers and other educators in the short-term.[Ted Underwood is right](https://tedunderwood.com/2023/07/31/we-can-save-what-matters-about-writing-at-a-price/):we professors are going to have to fundamentally rethink many of our assignments.I’ve seen many people dismiss ChatGPT as an essay writing tool because simply plugging in a prompt from an assignment results in a weak piece of writing.But LLMs are all about iterative feedback,and experimenting with well-known prompting methods dramatically improves results.