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“双减”背景下人工智能赋能学习质量监测:价值构想与模型设计 被引量:1

Artif icial Intelligence Empowers Students'Learning Quality Monitoring Under the Background of“Double reduction”:Value Conception and Model Design
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摘要 聚焦中国式高质量教育发展的要求,深化落实新时代教育评价改革,创新学生学习质量监测体系则至关重要。围绕融合学科核心素养,以认知诊断自适应测验技术为保障,建构人工智能赋能学生学习质量监测体系,助力中国式教育现代化。人工智能赋能学生学习质量监测体系以个性化评价适配学生个性化学习,以智能化监测推动学生智慧学习与教师智慧教学,以增值评价实现学生学习质量增效的可视化。该体系兼具评价性、学习性和教学性功能,可以从多方面、多层次对学生学科核心素养进行全面测评,支持学生个性化学习,提供智慧学习资源包,辅助学生知识进阶;可以依据测评结果提供智慧教学策略,辅助教师提升教学效能,为学生学习、教师教学、家长督学提供可视化的证据。 Focusing on the requirements of Chinese-style high-quality education development,it is curial to deepen the implementation of educational evaluation reform in the new era and innovate the monitoring system of students'learning quality.Centering on the integration of the core literacy of the subject and taking the cognitive diagnostic adaptive test technology as the guarantee,the monitoring system of the learning quality of students empowered by artificial intelligence is constructed to help the modernization of Chinese education.The artificial intelligence empowers students'learning quality monitoring system can adapt to students'personalized learning with personalized evaluation,promote students'intelligent learning and teachers'intelligent teaching with intelligent monitoring,and visualize students'learning quality enhancement with value-added evaluation.The system has the characteristics of evaluation,learning and teaching,and can comprehensively evaluate the core literacy of students from various aspects and levels,adapt to students'personalized learning,provide intelligent learning resource package,and assist students in knowledge advancement.It provides intelligent teaching strategies for assessment,assists teachers to improve teaching effectiveness,and provides visual evidence for students'learning,teachers'teaching and parents'supervision.
作者 王碧梅 杨令平 WANG Bimei;YANG Lingping
出处 《教育测量与评价》 2024年第1期14-26,共13页 Educational Measurement and Evaluation
基金 国家社会科学基金2018年度一般项目“我国义务教育均衡发展的统计测度方法研究”(18BTJ014) 陕西学前师范学院科研项目“西部高中学生问题解决能力人工智能监测研究”(2023QN03)的阶段性研究成果。
关键词 教育评价 学习质量监测 人工智能 “双减” 高质量教育发展 educational evaluation learning quality monitoring artificial intelligence “double reduction” high-quality education development
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