摘要
在教育评价设计中科学引入和应用人工智能,增强教育评价的合理性、有效性和真实性,是现阶段深化教育评价改革,加快建设高质量高等教育体系面临的重要任务。数字教育委员会与培生集团联合发布的《评价新纪元:AI在评价设计中的全球回顾》,系统梳理了人工智能对高等教育评价产生的影响,并提出无人工智能评价、人工智能辅助评价、人工智能融合评价三种评价类型,以及以“抗人工智能干扰”为核心的关键设计原则和多类型组合设计的两个优先事项,并针对每类评价提出设计指南。整个报告以促进学生发展为导向,聚焦教师课程教学场景,充分体现了成果导向的教育理念对教育评价设计中合理引入人工智能有着重要的指导作用。人工智能与成果导向教育理念相结合是高等教育评价改革的新取向。以此为鉴,为持续优化我国高等教育教学评价体系,应坚持人工智能与成果评价相结合的改革取向,大学生学习成果设计要全面统筹人类技能与人工智能技能的培养,同时要全方位打造与高等教育改革相适应的教师发展生态。
The scientific integration and application of AI in educational assessment design are crucial for enhancing its rationality,effectiveness,and authenticity.This is a key task in deepening assessment reform and accelerating the construction of a high-quality higher education system.The Next Era of Assessment:A Global Review of AI in Assessment Design,jointly released by the Digital Education Committee and Pearson,systematically sorts out the impacts of artificial intelligence on higher education assessment.It proposes three assessment types,namely AI-Free Assessment,AI-Assisted Assessment,AI-Integrated Assessment,as well as the key design principle centered on AI-Resistant Design,and two priorities for multi-type combined design.Additionally,it provides guidelines for each type of assessment.The entire report is oriented towards promoting student development,focuses on teachers’curriculum teaching scenarios,and fully demonstrates that the outcome-based education(OBE)concept plays an important guiding role in the rational integration of AI into educational assessment design.The combination of AI and OBE represents a new orientation for the reform of higher education assessment.Drawing lessons from this,to continuously optimize the educational teaching assessment system of universities in China,we should adhere to the reform orientation of integrating AI with outcome assessment.Specifically,in the design of college students’learning outcomes,we need to comprehensively plan the cultivation of both human skills and AI-related skills;meanwhile,we should,for teacher development,fully develop an ecosystem compatible with the reform of higher education.
作者
李运福
Yunfu LI(West China Higher Education Evaluation Center,Xi’an Jiaotong University,Xi’an 710049,Shaanxi)
出处
《中国教育信息化》
2025年第12期57-67,共11页
Chinese Journal of ICT in Education
基金
2023年度教育部人文社会科学研究青年基金项目“高校教学质量持续改进机制与模式研究”(编号:23YJC880058)。
关键词
高等教育
人工智能
教育评价
成果导向教育
人类智能
Higher education
Artificial Intelligence
Educational assessment
Outcome-Based Education
Human intelligence
