人工智能推动教育测评范式变革的机遇与挑战

Artificial Intelligence Promotes the Transformation of Educational Assessment Paradigm:Opportunities and Challenges

人工智能与信息技术的发展催生个性化学习的发生,疫情带来的影响加速推动世界范围内教育数字化产业的转型与升级,线上与线下学习相结合的大规模混合式教育形态倒逼教育测评范式从“以评促学”向“学评融合”演进。在这场变革中,以往教育测评的参与者、测评形式、数据来源、测量模型与技术方法都在发生深刻的变化,教育测评研究者与实践者在核心素养测评、基于过程数据的测评和个性化学习等重要方面的积极探索随之迎来新的契机。新一代教育测评的核心问题是,如何将人工智能与教育测评纳入统一框架以提升整个教育系统的效率。与此同时,教育测评的实质意义、效度、伦理和公平仍需坚守,以应对新时代教育发展和社会需求的挑战。

As the development of artificial intelligence and information technology has led to personalized learning,the COVID-19 pandemic has further accelerated the transformation and upgrading of the digitalization of education worldwide.As a result,the large-scale hybrid education combining both online and offline learning forces the paradigm of educational assessment to evolve from“assessment for learning”to“assessment as learning”in recent years.In this change,the participants,evaluation forms,data sources,measurement models,and technical methods of the previous education assessment methodology are reconstructed.Meanwhile,new opportunities have been ushered in by the active exploration of education assessment researchers and practitioners in valuable areas such as core literacy assessment,assessment based on process data,and personalized learning.The key issue concerning education assessment in the new generation is how to integrate artificial intelligence and educational assessment into a unified framework to improve the efficiency of the entire educational system.At the same time,the substantive significance,validity,ethics,and equity of intelligent educational assessment still need to be adhered to in the face of educational reform and social needs in the new era.