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作 者:王涵[1] 黄涛[1] 田俊 杨华利[1] 韩鹏东 WANG Han;HUANG Tao;TIAN Jun;YANG Huali;HAN Pengdong(Faculty of Artificial Intelligence in Education,Central China Normal University,Wuhan Hubei 430079;School of Information Technology in Education,South China Normal University,Guangzhou Guangdong 510631;Weifang Institute of Educational Information,Weifang Shandong 261045)
机构地区:[1]华中师范大学人工智能教育学部,湖北武汉430079 [2]华南师范大学教育信息技术学院,广东广州510631 [3]潍坊市教育信息化研究院,山东潍坊261045
出 处:《电化教育研究》2022年第5期92-99,共8页E-education Research
基 金:2018年教育部—中国移动科研基金“构建‘互联网+’条件下的新型课堂教学模式创新实证研究——以宁夏中卫市第三小学为案例”(项目编号:MCM20180609);2020年度华中师范大学基本科研业务费项目(自然科学类)“大数据认知诊断关键技术与应用示范”(项目编号:30106200505)。
摘 要:“互联网+”背景下,技术与教学深度融合、实现差异化、个性化的教学是教育发展和变革的必然趋势。自主学习是学生核心素养的关键要素,但在基础教育的实际教学中较易被忽视。文章建立了基于学习分析的小学生自主学习脚手架模型,以最近发展区和脚手架理论为理论基础,认知诊断模型和知识跟踪技术为核心学习分析引擎,从计划、监控与评价三个阶段设计学习支持策略,为自主学习过程提供知识掌握状态、学业历程趋势等学习支持,提高学生课后自主学习的效率。最后,我们在实际教学环境中验证了模型的应用效果,发现使用学习分析技术赋能小学生课后自主学习,可以达到提升学习效果并促进学生学习策略的培养目的。Under the background of"Internet+",the deep integration of technology and teaching,and the realization of differentiated and personalized teaching are the inevitable trends of educational development and reform.Self-regulated learning is a key element of students'core literacy,but it is easy to be neglected in the actual teaching of primary education.Based on the zone of proximal development and scaffolding theory,and the learning analytic engine with cognitive diagnosis model and knowledge tracking technology as the core,this paper establishes a learning analytics-based scaffolding model of self-regulated learning for primary school students.Further,the learning support strategies are designed in three stages of planning,monitoring and evaluation to provide learning support such as knowledge mastery status and academic journey trends,so as to improve the efficiency of students'self-regulated learning after class.Finally,the effectiveness of the model in a real teaching environment is verified and it is found that technology-enhanced self-regulated learning after class can improve primary students'performance and learning strategies.
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