游永恒：聚焦“能力矩阵”，改变“一考定终身”

Core Viewpoint - The integration of AI and big data has shifted the supply of knowledge from scarcity to abundance, necessitating a transformation in talent assessment from a focus on memorization to a comprehensive evaluation of individual capabilities [1][4] Group 1: New Assessment Paradigm - The traditional talent selection model, which emphasizes static knowledge recall, is becoming less effective and misaligned with societal needs [1][2] - Future talent selection should be based on a matrix of core capabilities, including problem definition, critical thinking, and practical innovation [2][3] - The assessment should focus on the cognitive processes involved in problem-solving rather than merely the final answers [3] Group 2: Implementation Strategies - Future examinations may shift towards open-book formats that simulate real-world research environments, emphasizing information selection and logical reasoning [3] - The design of assessments should prioritize performance evaluation and project-based assessments to gauge collaborative and innovative skills [3] - Establishing a comprehensive personal capability digital portfolio will allow for continuous tracking of an individual's growth and skills beyond traditional scoring [3][4] Group 3: Societal Implications - The shift in assessment philosophy reflects a broader societal change in valuing unique cognitive abilities and creative potential over mere knowledge retention [4] - This transformation aims to cultivate proactive creators who can effectively leverage technology and drive future innovations [4]