Group 1 - The article discusses a controversial academic paper claiming that Hammurabi and Shang Tang are the same person, which has sparked public outrage and skepticism [1][2] - The authors of the paper have been criticized for their selective use of evidence and for violating basic principles of historical linguistics, as they ignore the significant differences between Babylonian and ancient Chinese languages [1][2] - The paper's conclusions are seen as a threat to cultural confidence, as they blur the lines between Eastern and Western civilizations and could mislead future generations about historical continuity [2] Group 2 - To prevent such academic controversies, the article emphasizes the need for multiple layers of academic standards and oversight, including stricter peer review processes and accountability for academic misconduct [3] - It calls for universities to strengthen their supervision of research integrity and establish lifelong accountability mechanisms for academic misconduct [3] - The article advocates for scholars to regain respect for knowledge and adhere to rigorous academic standards to ensure the longevity and integrity of academic contributions [3]

报告由微软OfficePLUS 和艾瑞咨询联合发布 大学 生学术 研究丨 洞察报告 核心摘要： 学术态度： 超四成大学生计划毕业后继续深造，怀有学术热情的他们，堪称学术卷王，92.2%追求学术进步，超半数利 用晚上时间撰写论文。 学术工具： 积极的学术实践当中，大学生们善用工具为自己提效，论文人开启"赛博外挂"。他们超半数面临着查重焦 虑，普遍为单篇论文辗转多个查重工具。 "我的心中只有学习" 专业课和毕业论文是学业重心：分别有 69.3% 和 64.0% 的大学生认为，学习专业课程和完成毕业 论文是大学阶段最重要的事情之一。 大学生人均"学术卷王" 查重体验： 大学生们遇过查重结果"打架"，也苦于查重费用过高，精打细算但还是得为查重掏钱。从被查重率支配的恐 惧，到享受思想碰撞的快乐，查重工具是大学生的论文"搭子"，也是他们学术进步的见证。 学术诚信进入公众视野，论文查重引发热议 学术诚信话题频繁进入公众视野，高校学位论文审核日趋严格。"论文"和"查重"相关话题在部分社 媒平台已达数十亿级浏览、千万级讨论。 92.2% 对自己有学术 " KPI" ， 33.8% 追求学术创新； 41% 毕业首选学术深造，以个 ...

Group 1 - Columbia University has imposed severe disciplinary actions on over 70 students involved in anti-Semitic protests, including suspensions, expulsions, and degree revocations [1][3][4] - The university's actions coincide with negotiations with the Trump administration regarding the release of federal funds, suggesting a political influence on the disciplinary measures [1][4] - The scale of punishment at Columbia is notably harsher compared to other Ivy League institutions, indicating a significant shift in the university's approach to student protests [4] Group 2 - The disciplinary actions have sparked a divided response in American public opinion, with some criticizing the university for capitulating to political pressure while others support the measures as necessary for maintaining order [3][4] - The protests at Columbia have been described as the most significant among U.S. universities, leading to police involvement for the first time since 1968, highlighting the intensity of the situation [3][4] - There are allegations that the disciplinary actions are part of a federal agreement, raising concerns about the implications for free speech and academic integrity within higher education [4]

央广网北京7月15日消息（总台中国之声记者任梦岩）据中央广播电视总台中国之声《新闻纵横》 报道，论文"AI味"渐浓，是高校共同面对的新难题。今年的高校毕业生在毕业论文阶段，除了传统的查 重、盲审、答辩，毕业路上又多了一道关卡——AIGC检测，也就是人工智能生成内容检测。 不少高校引入了AI模型来"查文章AI生成内容占比"，而一些平台又推出了"降低现有文章AI生成内 容占比"的大模型，但一些师生在使用过程中发现，这些所谓"降低AI率"的大模型表现实在一般，有时 候越用大模型检测"AI率"越高。让AI查AI，靠谱吗？毕业论文检测，怎样更科学？ 韩同学表示："论文写完之后，我查AI率、查重率都很高，就想着用AI改一下，就在那个软件上花 了128元，希望降重复率和降AI率，两个都降，之后就会出来一个报告，那个报告显示（重复率和AI 率）只有百分之十几。结果我交上去之后，导师返给我说完全不合格。" 河南李同学的遭遇更为蹊跷。她的学校要求使用某"AI率检测平台"进行论文检测，第一次检测合 格，第二次检测，却被告知"AI生成内容占比过高"。 李同学说："我第一次检测的时候，它显示是一个低风险，AI率百分之十五点多，这是在论 ...

大学 生学术 研究丨 洞察报告 报告由微软OfficePLUS 和艾瑞咨询联合发布 核心摘要： 学术态度： 超四成大学生计划毕业后继续深造，怀有学术热情的他们，堪称学术卷王，92.2%追求学术进步，超半数利 用晚上时间撰写论文。 学术工具： 积极的学术实践当中，大学生们善用工具为自己提效，论文人开启"赛博外挂"。他们超半数面临着查重焦 虑，普遍为单篇论文辗转多个查重工具。 查重体验： 大学生们遇过查重结果"打架"，也苦于查重费用过高，精打细算但还是得为查重掏钱。从被查重率支配的恐 惧，到享受思想碰撞的快乐，查重工具是大学生的论文"搭子"，也是他们学术进步的见证。 学术诚信进入公众视野，论文查重引发热议 学术诚信话题频繁进入公众视野，高校学位论文审核日趋严格。"论文"和"查重"相关话题在部分社 媒平台已达数十亿级浏览、千万级讨论。 "我的心中只有学习" 专业课和毕业论文是学业重心：分别有 69.3% 和 64.0% 的大学生认为，学习专业课程和完成毕业 论文是大学阶段最重要的事情之一。 大学生人均"学术卷王" 92.2% 对自己有学术 " KPI" ， 33.8% 追求学术创新； 41% 毕业首选学术深造，以个 ...

大学 生学术 研究丨 洞察报告 报告由微软OfficePLUS 和艾瑞咨询联合发布 核心摘要： 学术态度： 超四成大学生计划毕业后继续深造，怀有学术热情的他们，堪称学术卷王，92.2%追求学术进步，超半数利 用晚上时间撰写论文。 学术工具： 积极的学术实践当中，大学生们善用工具为自己提效，论文人开启"赛博外挂"。他们超半数面临着查重焦 虑，普遍为单篇论文辗转多个查重工具。 查重体验： "我的心中只有学习" 大学生们遇过查重结果"打架"，也苦于查重费用过高，精打细算但还是得为查重掏钱。从被查重率支配的恐 惧，到享受思想碰撞的快乐，查重工具是大学生的论文"搭子"，也是他们学术进步的见证。 学术诚信进入公众视野，论文查重引发热议 专业课和毕业论文是学业重心：分别有 69.3% 和 64.0% 的大学生认为，学习专业课程和完成毕业 论文是大学阶段最重要的事情之一。 学术诚信话题频繁进入公众视野，高校学位论文审核日趋严格。"论文"和"查重"相关话题在部分社 媒平台已达数十亿级浏览、千万级讨论。 大学生人均"学术卷王" 92.2% 对自己有学术 " KPI" ， 33.8% 追求学术创新； 41% 毕业首选学术深造，以个 ...

Group 1 - The article discusses the challenges students face in proving their authenticity in academic writing amidst the rise of AI detection systems [15][20][24] - It highlights the experiences of students who have been wrongly accused of using AI, leading to significant stress and the need for extensive proof of their work [16][19][20] - The article emphasizes the importance of academic integrity and the role of AI detection systems, which can have error rates as high as 6.8%, creating a systemic issue for honest students [20][23] Group 2 - North Carolina is noted for being proactive in integrating AI into education, being the fourth state to release guidelines for generative AI usage in public schools [27][28] - The guidelines are dynamic and aim to teach students responsible AI usage, emphasizing the need for AI literacy and ethical considerations [30][35][36] - The article outlines a framework called "EVERY," which includes rules for students on using AI responsibly, focusing on academic integrity, data security, and teacher supervision [39][40][41][42][44] Group 3 - The article contrasts different state approaches to AI in education, ranging from strict bans to supportive integration, highlighting the evolving nature of policies [46][48][50] - It mentions specific districts that have shifted from prohibiting AI tools to recognizing their potential benefits in enhancing teaching and learning [47][49][51] - The overarching theme is the need for a balanced approach that protects data security, maintains academic integrity, and addresses ethical considerations in the use of technology [51][52]

（一）"数据库依赖症"引发误判连锁反应 当前国内外AI检测系统主要依赖公开资料库及联网搜索比对机制，而经典文学作品因其广泛传播和高度引用，极易被判定为"与现有内容高度重合"。例 如，朱自清的《荷塘月色》因长期收录于教材、文献，其片段被系统标记为"高度疑似AI生成"（AI率62.88%）。 当"AI率"检测系统从"学术辅助者"异化为"新型学术税"的征收者，当"反AI文本"成为一门暴利生意，学术诚信的底线正被技术漏洞与人性贪婪 共同撕裂。在这场荒诞的猫鼠游戏中，学生、商家、平台三方围绕"AI率"展开一场"技术对抗技术"的黑色狂欢，而学术尊严与教育的本质，早 已沦为这场闹剧的"牺牲品"。 当前，毕业论文季的硝烟弥漫全国高校。 复旦大学、西南大学、中国传媒大学等十余所高校相继出台新规，将"AI生成内容检测率"（AI率）纳入论文评审硬性指标，要求本科论文AI率不得超过 15%、硕士论文不超过10%、博士论文需低于5%。这场以"技术监管"为名的学术变革，却在执行中演变为一场"人机对决"： 学生被迫与AI"斗智斗勇"，用方言插入、错别字掩护、甚至手写扫描再转录等"土办法"降低AI率；教师沦为"算法的执行者"，在"降AI率" ...

Core Insights - The rapid development of Generative AI (GenAI) is transforming traditional cultural education, particularly in higher education, by shifting from standardized teaching to a co-creative and immersive learning model [1][10]. Group 1: Course Design Innovation - Generative AI is reshaping the teaching design logic of the "Introduction to Chinese Culture" course by embedding intelligent technology, creating a student-centered and culturally immersive learning experience [2]. - Technologies like Virtual Reality (VR) and Augmented Reality (AR) convert abstract cultural symbols into interactive experiences, enhancing students' understanding of complex cultural concepts [2][4]. - AI-driven personalized learning materials are generated based on real-time analysis of student data, allowing for dynamic optimization of course content to meet diverse student needs [3]. Group 2: Teaching Methodology Transformation - The integration of Generative AI promotes a shift from traditional teacher-led instruction to a collaborative human-machine interaction model, redefining classroom dynamics and roles [5]. - Students become active knowledge creators through AI platforms that facilitate discussions and debates, enhancing critical thinking and engagement with the material [5][6]. - Teachers transition to roles as learning experience designers and value guides, focusing on facilitating human-AI collaboration rather than solely delivering content [6][7]. Group 3: Ethical and Cultural Challenges - The application of Generative AI raises ethical concerns, particularly regarding data privacy and academic integrity, necessitating robust regulatory frameworks [8]. - There is a risk of cultural interpretation homogenization due to AI's reliance on high-frequency vocabulary, which may oversimplify complex philosophical concepts [9]. - To address these challenges, a collaborative mechanism between human experts and AI is proposed to ensure diverse cultural interpretations and maintain the depth of traditional cultural education [9][10].