{"title":"人工智能教学:未来二十年","authors":"Steven Michels","doi":"10.1080/15512169.2023.2266848","DOIUrl":null,"url":null,"abstract":"AbstractThe advent of artificial intelligence and concerns over academic integrity have put instructors from every discipline on notice regarding the kinds of coursework we are assigning. But this is also a moment to deliver content in a manner that is clearer and more dynamic, use more active forms of learning, and improve the academic and professional outcomes of our students. This article surveys the most common themes and approaches from the pages of the journal and offers some suggestions for how AI and generative technologies can augment our teaching and allow instructors to focus on higher-level learning outcomes.Keywords: Artificial intelligenceAIChatGPTacademic integritywriting instruction AcknowledgmentsHe would like to thank Michael Vale, Colleen Butler-Sweet, Jeff Naftzinger, Alex D’Adamo, Elizabeth Luoma, and Kate Cunningham for their feedback and support along the way.Disclosure statementThere are no competing interests to declare.Additional informationNotes on contributorsSteven MichelsSteven Michels is a professor of political science at Sacred Heart University in Fairfield, CT, where he teaches courses on democracy, political economy, and the politics of law. Among his many books, articles, and chapters is Sinclair Lewis and American Democracy. Find him on LinkedIn: linkedin.com/in/stevenmichels.","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.9000,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Teaching (with) Artificial Intelligence: The Next Twenty Years\",\"authors\":\"Steven Michels\",\"doi\":\"10.1080/15512169.2023.2266848\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractThe advent of artificial intelligence and concerns over academic integrity have put instructors from every discipline on notice regarding the kinds of coursework we are assigning. But this is also a moment to deliver content in a manner that is clearer and more dynamic, use more active forms of learning, and improve the academic and professional outcomes of our students. This article surveys the most common themes and approaches from the pages of the journal and offers some suggestions for how AI and generative technologies can augment our teaching and allow instructors to focus on higher-level learning outcomes.Keywords: Artificial intelligenceAIChatGPTacademic integritywriting instruction AcknowledgmentsHe would like to thank Michael Vale, Colleen Butler-Sweet, Jeff Naftzinger, Alex D’Adamo, Elizabeth Luoma, and Kate Cunningham for their feedback and support along the way.Disclosure statementThere are no competing interests to declare.Additional informationNotes on contributorsSteven MichelsSteven Michels is a professor of political science at Sacred Heart University in Fairfield, CT, where he teaches courses on democracy, political economy, and the politics of law. Among his many books, articles, and chapters is Sinclair Lewis and American Democracy. Find him on LinkedIn: linkedin.com/in/stevenmichels.\",\"PeriodicalId\":46033,\"journal\":{\"name\":\"Journal of Political Science Education\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Political Science Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15512169.2023.2266848\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"POLITICAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Political Science Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15512169.2023.2266848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
Teaching (with) Artificial Intelligence: The Next Twenty Years
AbstractThe advent of artificial intelligence and concerns over academic integrity have put instructors from every discipline on notice regarding the kinds of coursework we are assigning. But this is also a moment to deliver content in a manner that is clearer and more dynamic, use more active forms of learning, and improve the academic and professional outcomes of our students. This article surveys the most common themes and approaches from the pages of the journal and offers some suggestions for how AI and generative technologies can augment our teaching and allow instructors to focus on higher-level learning outcomes.Keywords: Artificial intelligenceAIChatGPTacademic integritywriting instruction AcknowledgmentsHe would like to thank Michael Vale, Colleen Butler-Sweet, Jeff Naftzinger, Alex D’Adamo, Elizabeth Luoma, and Kate Cunningham for their feedback and support along the way.Disclosure statementThere are no competing interests to declare.Additional informationNotes on contributorsSteven MichelsSteven Michels is a professor of political science at Sacred Heart University in Fairfield, CT, where he teaches courses on democracy, political economy, and the politics of law. Among his many books, articles, and chapters is Sinclair Lewis and American Democracy. Find him on LinkedIn: linkedin.com/in/stevenmichels.
期刊介绍:
The Journal of Political Science Education is an intellectually rigorous, path-breaking, agenda-setting journal that publishes the highest quality scholarship on teaching and pedagogical issues in political science. The journal aims to represent the full range of questions, issues and approaches regarding political science education, including teaching-related issues, methods and techniques, learning/teaching activities and devices, educational assessment in political science, graduate education, and curriculum development. In particular, the journal''s Editors welcome studies that reflect the scholarship of teaching and learning, or works that would be informative and/or of practical use to the readers of the Journal of Political Science Education , and address topics in an empirical way, making use of the techniques that political scientists use in their own substantive research.