Core Viewpoint - Artificial intelligence (AI) technology is revolutionizing higher education by facilitating digital transformation, enhancing resource integration, and promoting high-quality education and equity [1] Group 1: Infrastructure Development - Strengthening infrastructure is essential for the digital transformation of higher education, requiring reasonable budget planning for AI hardware and software [2] - Funding support should be diversified, including government grants and partnerships with enterprises and social capital [2] - Provision of advanced intelligent teaching equipment, such as smart boards and virtual labs, is necessary to leverage technology for precise teaching guidance [2] Group 2: Teacher Professional Development - Enhancing teachers' professional skills is crucial for adapting to the changes brought by AI in education [3] - Multi-channel approaches should be employed to raise teachers' awareness of AI's value, including seminars and online resources [3] - A systematic training mechanism should be established to cover theoretical knowledge, technical applications, and teaching cases [3] Group 3: Teaching Model Transformation - AI can alleviate teachers' mechanical workload, allowing them to focus on optimizing teaching content [4] - The establishment of dual-teacher classrooms, combining human instructors and AI assistants, can address issues like insufficient teaching time [4] - Incorporating virtual and augmented reality technologies can enhance experimental teaching effectiveness [4] Group 4: Educational Evaluation Mechanism - AI emphasizes process-oriented evaluation, enabling dynamic assessment of students' comprehensive abilities through data analysis [5] - Intelligent tutoring systems can personalize learning experiences based on students' knowledge levels and provide real-time feedback to teachers [5] - Automated grading systems can efficiently gather student performance data, helping teachers identify areas needing improvement [5] Group 5: Risk Awareness in Educational Transformation - While AI enhances resource integration, issues like data security and algorithmic bias pose risks to the long-term development of higher education [6] - Institutions should adopt a critical perspective on AI, assessing potential risks and ensuring the protection of students' and teachers' rights [6] - Legal regulations should be enforced to prevent algorithmic discrimination, and privacy protection education should be prioritized [6]

Core Viewpoint - The digital transformation of higher education is essential for high-quality development, driven by advancements in big data, cloud computing, and artificial intelligence [1] Group 1: Planning and Strategy - A systematic approach is necessary for the digital transformation of higher education, involving organizational, technological, and functional changes [2] - Policymakers should optimize top-level design and introduce specific regulations to support the digital transformation of higher education [2] - Universities should conduct job market research to tailor their digital transformation strategies to enhance students' overall competencies and employability [2] Group 2: Infrastructure and Platform Development - The application and popularization of digital teaching platforms are fundamental to the digital transformation of higher education [3] - High-performance infrastructure is crucial for supporting digital transformation, requiring significant investment in human, financial, and material resources [3] - Universities should establish comprehensive digital platforms that integrate educational resources and avoid redundancy [3] Group 3: Teaching Innovation - High-quality development is the goal of digital transformation, necessitating innovation in teaching methods, content, and evaluation [4] - Universities should create a tiered curriculum to meet diverse student needs and collaborate with enterprises to develop relevant educational resources [4] - A data-driven evaluation mechanism should be developed to assess the effectiveness of digital transformation efforts from multiple perspectives [4] Group 4: Enhancing Digital Literacy - Improving the digital literacy of both teachers and students is critical for the orderly advancement of digital transformation in education [5] - Regular training for teachers should be conducted to enhance their digital competencies and encourage the development of high-quality online educational resources [5] - Students should be trained in digital skills through practical, scenario-based learning and education on cybersecurity and ethics [5]

原标题：重庆医科大学：用数字教材重新定义未来课堂 逼真的高清心脏结构图、可拆解的三维模型，以及生动的临床手术视频……近日，重庆医科大学的 课堂展现出一番不同寻常的学习景象。医学生告别了厚重的医学教材，取而代之的是一台涵盖了12册医 学课程数字教材的平板。教师借助数字教学助手布置讨论作业，只需一键操作，便能获取学情数据，清 晰了解学生对知识点的掌握情况。 作为高等教育数字化转型的先行探索者，重庆医科大学推出国内首套医学整合课程数字教材，并全 面接入人工智能系统，提升学生学习效率。 "早在2009年，我们就率先开展整合医学教学改革。"重庆医科大学教务处处长、《神经系统疾病与 精神疾病》数字教材副主编朱丹介绍，学校构建起基于器官系统的基础与临床课程，打造全面融通的整 合教学模式，并于2015年联合人民卫生出版社，编写出版了国内第一套基础与临床贯通的医学整合课程 纸质教材。 然而，传统的纸质教材难以满足教学与学习需求。不少医学生告诉记者："医学课本又多又厚又 重，上课携带不方便，也无法快速查找知识。而且教材内容更新慢，很多前沿知识都没有。要是遇到复 杂的解剖结构，光看文字和图片，根本理解不了。" 为解决这一难题，20 ...