近期，多所"双一流"高校纷纷启动对绩点制度的调整与改革。复旦大学已引入"P/NP"成绩机 制，允许部分课程不计入绩点；南京大学、华中科技大学、上海财经大学、中国人民大学等 高校，也在逐步弱化绩点排名的权重，推动以"去量化""去内卷"为导向的学业评价变革。 2025年7月26日，北京大学宣布自2025级本科生起取消绩点（GPA）制度，成为近年来改革 力度最大的高校之一。 作为一个长期高度依赖绩点的教育体系，这一系列变化不仅是对教学管理细节的微调，更标 志着高校对"唯分数论"的反思正在从边缘走向主流。绩点制度的松动，不只是技术性的修修 补补，它所触及的，是教育预设的根基。 在本文中，胡泳追问：分数究竟是什么？我们为何如此依赖它？从"绩点制改革潮"出发，他 引导我们重新理解学习的意义，思考一种可能的"无分数"学习想象。 评分制度是现代教育最突出的特点之一。在成千上万间教室中，评分早已成为普遍接受的教育常规。这 一制度的"自然性"，堪比教科书的使用、学生按课桌排列的方式，或教师的在场——它们都是"学校教 学语法"（grammar of schooling）的一部分。从小学年级到高等研究生项目，教师每周要花大量时间批 ...

编者按 近期，多所 " 双一流 " 高校纷纷启动对绩点制度的调整与改革。复旦大学已引入 "P/NP" 成绩机制，允许部分课程不计入绩点；南京大学、华中科技大学、上 海财经大学、中国人民大学等高校，也在逐步弱化绩点排名的权重，推动以 " 去量化 "" 去内卷 " 为导向的学业评价变革。 2025 年 7 月 26 日，北京大学宣布自 2025 级本科生起取消绩点（ GPA ）制度，成为近年来改革力度最大的高校之一。 作为一个长期高度依赖绩点的教育体系，这一系列变化不仅是对教学管理细节的微调，更标志着高校对 " 唯分数论 " 的反思正在从边缘走向主流。绩点制度 的松动，不只是技术性的修修补补，它所触及的，是教育预设的根基。 在本文中，胡泳追问：分数究竟是什么？我们为何如此依赖它？从 " 绩点制改革潮 " 出发，他引导我们重新理解学习的意义，思考一种可能的 " 无分数 " 学习 想象。 文/胡泳 评分制度是现代教育最突出的特点之一。在成千上万间教室中，评分早已成为普遍接受的教育常规。这一制度的"自然性"，堪比教科书的使用、学生按课桌 排列的方式，或教师的在场——它们都是"学校教学语法"（grammar of sch ...

Core Insights - The article discusses the transformative impact of artificial intelligence (AI) on higher education, particularly in the realm of ideological and political education in universities, highlighting new opportunities and perspectives brought by digitalization [1] Group 1: Transformation of Educational Models - AI technology will lead to a comprehensive transformation of ideological and political education in universities, shifting from traditional methods to a more intelligent and collaborative educational model [2] - The integration of AI will facilitate a hybrid teaching model that combines online and offline learning, making online micro-classes a significant supplement to traditional ideological education [2] - AI can assist educators by taking over repetitive tasks such as student performance analysis and assignment grading, thereby enhancing teaching efficiency [2] Group 2: Innovation in Teaching Content - AI will enable a dynamic and multi-dimensional presentation of teaching content, moving beyond static textbooks to a more integrated approach [2] - AI systems can automatically gather trending educational materials from the internet, creating an updated case library for ideological education [2] - Virtual reality (VR) technology can simulate various scenarios for students, helping them understand the consequences of different value choices [2] Group 3: Redefining Roles of Educators and Students - The roles of educators and students will undergo significant changes, fostering a collaborative educational community [2] - Educators will transition from mere knowledge transmitters to classroom designers and academic researchers, utilizing AI data to enhance teaching [2] - Students will evolve from passive recipients of knowledge to active learners, using digital tools for independent exploration and collaborative activities [2] Group 4: Reform Pathways for AI Integration - To realize the envisioned transformation, a systematic solution must be developed, focusing on key areas such as technology, policy, and talent [3] - There is a need to establish comprehensive regulations and standards for the application of AI in ideological education, ensuring data security and ethical considerations [3] - Institutions should create a tiered certification system for AI educational platforms, assessing their safety, algorithm transparency, and educational suitability [3] Group 5: Enhancing Value Guidance and Teacher Competence - The application of AI in education must adhere to the principle of serving educational purposes, ensuring that technology supports rather than detracts from the educational experience [4] - A robust review mechanism should be established to filter negative content generated by AI, maintaining ideological safety in educational materials [4] - Developing a composite teacher workforce with both professional and digital literacy is crucial for improving the quality of ideological education [5]