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]
人工智能背景下高等教育的创新探索
Xin Hua Ri Bao·2025-07-03 22:50