摘要
由一名新闻记者-机器人与机器学习每日新闻编辑-调查人员讨论人工智能的新发现。根据NewsRx记者在苏黎世Swit Zerland所做的新闻报道，研究表明，“由于这种流行病，所有物理课程都转移到了网上。与此同时，基于互联网的公关解决网站和论坛的受欢迎程度也在上升。”新闻记者从瑞士联邦理工学院的研究中获得了一句话：“随着大型语言模型的出现，另一个问题发生了。这些模型公开发布一年后，入门物理专业学生的在线求助行为发生了什么变化，不同的在线资源使用模式有什么影响？在一个混合方法的应用程序Roach中，我们调查了科学家和工程师在线物理入门课程的学生选择及其对评估内容的影响。我们发现学生仍然主要依赖传统的互联网资源，他们的使用强烈影响了低风险无监督测验的结果。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Artificial Intelligence. According to news reporting originating in Zurich, Swit zerland, by NewsRx journalists, research stated, "As a result of the pandemic, m any physics courses moved online. Alongside, the popularity of Internet-based pr oblem-solving sites and forums rose." The news reporters obtained a quote from the research from the Swiss Federal Ins titute of Technology, "With the emergence of large language models, another shif t occurred. One year into the public availability of these models, how has onlin e helpseeking behavior among introductory physics students changed, and what is the effect of different patterns of online resource usage? In a mixed-method app roach, we investigate student choices and their impact on assessment components of an online introductory physics course for scientists and engineers. We find t hat students still mostly rely on traditional Internet resources and that their usage strongly influences the outcome of low-stake unsupervised quizzes."
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