科学教师培训与青少年AI科技测评(CAI)

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以AI教育赋能未来:科学教师培训与青少年AI科技测评(CAI)发布会在京召开
Zheng Quan Shi Bao Wang· 2025-05-25 13:52
Core Viewpoint - The integration of artificial intelligence (AI) into education is seen as a revolutionary change that will significantly impact learning methods, teaching practices, and school management, emphasizing the need for enhanced teacher training and the development of AI-related skills among youth [2][4]. Group 1: AI and Education - AI is recognized as a strategic technology that leads a new wave of technological revolution and industrial transformation, essential for youth to adapt to future societal demands [1][2]. - The deep integration of AI in education is expected to transform traditional educational paradigms, moving towards intelligent education [2]. - There is a need for breakthroughs in foundational theories and core technologies in AI to support educational advancements [2]. Group 2: Teacher Training - A structured, tiered training system for science teachers is recommended, focusing on personalized training based on different development stages and subject backgrounds [3]. - Practical-oriented training methods, such as workshops and case studies, are emphasized to enhance the effectiveness of teacher training [3]. - Establishing a long-term mechanism that aligns teacher training with professional development and evaluation systems is crucial [3]. Group 3: Collaborative Efforts - The collaboration among schools, families, and enterprises is essential to foster an innovative atmosphere for students, encouraging them to transition from curiosity to creativity [3]. - The project aims to create a closed-loop talent cultivation system that empowers educators and validates learners' capabilities, contributing to the nation's educational and technological strength [3][4]. Group 4: Youth AI Assessment - The youth AI assessment program aims to cultivate composite talents with AI characteristics, instilling innovative thinking and a sense of responsibility in students [4]. - The initiative seeks to balance educational quality and resource distribution, moving towards a more equitable educational landscape [4]. Group 5: Implementation Strategy - The implementation plan focuses on building an ecosystem that connects teacher training and talent selection, covering three main areas: teacher training, student development, and assessment certification [5]. - The project will facilitate the systematic integration of science education and AI education, promoting collaborative development among industry, academia, and research [6].