University of Texas Austin Researcher Illuminates Research in Artificial Intelli gence (ChatGPT has Aced the Test of Understanding in College Economics: Now What ?)
University of Texas Austin Researcher Illuminates Research in Artificial Intelli gence (ChatGPT has Aced the Test of Understanding in College Economics: Now What ?)
由一名新闻记者-机器人与机器学习每日新闻编辑-研究人员详细介绍了人工智能的新数据。根据NewsRx Jour Nalists在得克萨斯州奥斯汀的新闻报道，研究表明：“大学经济学理解测试(TUCE)是在美国进行的经济学知识标准化测试，主要针对原则层面的理解。”新闻编辑们从德克萨斯大学的研究中得到一句话:“我们让ChatGPT完成了这项研究。与在原理课程结束时参加的ChatGPT考试相比,ChatGPT在微观经济学方面排名第91位,在宏观经济学方面排名第99位。结果表明,ChatGPT能够提供超出平均值的答案。”所有机构的学生报告。根据新闻编辑的说法，这项研究得出结论：“人工智能的出现对高等教育中传统的评估方法提出了重大挑战。这一发现的一个重要含义是，教育者可能需要至少以以下三种方式之一重新设计他们的课程：重新引入监考，面对面的评估；用聊天机器人增强学习；和/或增加人工智能难以很好复制的经验学习项目的普遍性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting from Austin, Texas, by NewsRx jour nalists, research stated, "The Test of Understanding in College Economics (TUCE) is a standardized test of economics knowledge performed in the United States wh ich primarily targets principles-level understanding." The news editors obtained a quote from the research from University of Texas Aus tin: "We asked ChatGPT to complete the TUCE. ChatGPT ranked in the 91st percenti le for Microeconomics and the 99th percentile for Macroeconomics when compared t o students who take the TUCE exam at the end of their principles course. The res ults show that ChatGPT is capable of providing answers that exceed the mean resp onses of students across all institutions." According to the news editors, the research concluded: "The emergence of artific ial intelligence presents a significant challenge to traditional assessment meth ods in higher education. An important implication of this finding is that educat ors will likely need to redesign their curriculum in at least one of the followi ng three ways: reintroduce proctored, in-person assessments; augment learning wi th chatbots; and/or increase the prevalence of experiential learning projects th at artificial intelligence struggles to replicate well."
Key words
University of Texas Austin/Austin/Texa s/United States/North and Central America/Artificial Intelligence/Emerging T echnologies/Machine Learning
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