人工智能赋能基础教育监测的应用与挑战

The Application and Challenges of Artificial Intelligence Empowering Basic Education Monitoring

随着人工智能与教育的进一步融合,人工智能为基础教育监测提供了新的发展路径。人工智能在基础教育监测中的题库建设与智能化组卷、智能化测评与诊断、智能化阅卷、智能化分析决策与评价等方面发挥了重要作用。但是,在人工智能应用于基础教育监测的背景下,当前还面临着处理教育的复杂性和算法的确定性之间的矛盾、促进智能技术与监测过程的创新融合、教育监测人才队伍的缺乏与培养等方面的挑战。为了促进人工智能更好地服务于基础教育监测,未来我国在拓展多学科评估的基础上,需开发新型测评工具,构建组卷、测评、阅卷与决策的四维一体化监测体系,刻画学生个性化画像,加强各级层面的监测技术培训,促进基础教育监测结果的分析与应用。

With the further integration of artificial intelligence and education, artificial intelligence provides a new development path for basic education monitoring.This paper introduces the technical principles and implementation of AI in basic education monitoring for question bank construction and intelligent paper formation, intelligent assessment and diagnosis, intelligent paper marking, intelligent analysis and decision making and evaluation.It is also pointed out that in the context of AI applied to basic education monitoring, there are also challenges in dealing with the contradiction between the complexity of education and the certainty of algorithms, promoting the innovative integration of intelligent technologies and monitoring processes, and the lack and cultivation of education monitoring talent teams.In order to promote AI to better serve basic education monitoring, in the future, China, based on expansion of multidisciplinary assessment, needs to develop new assessment tools, to build a four-dimensional integrated monitoring system of formulating, assessing, marking and decision-making, to carve out personalized portraits of students, to strengthen training in monitoring techniques at all levels, and to promote the analysis and application of basic education monitoring results.