[1]牟智佳.电子书包中基于教育大数据的个性化学习评价模型与系统设计[J].远程教育杂志,2014,(05):090-96.
 Mou Zhijia.Research on Model of Personalized Learning Evaluation System Based on Educational Big Data in the Electronic Schoolbag[J].Distance Education Journal,2014,(05):090-96.
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电子书包中基于教育大数据的个性化学习评价模型与系统设计()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2014年05期
页码:
090-96
栏目:
学习新论
出版日期:
2014-09-25

文章信息/Info

Title:
Research on Model of Personalized Learning Evaluation System Based on Educational Big Data in the Electronic Schoolbag
作者:
牟智佳
北京师范大学 教育学部 教育技术学院,北京 100875
Author(s):
Mou Zhijia
School of Educational Technology, Faculty of Education, Beijing Normal University, Beijing 100875
关键词:
电子书包教育大数据个性化学习评价模型个性化评价层次塔个性化评价系统
Keywords:
Electronic schoolbag Educational big data Personalized learning evaluation model Personalized evaluation level tower Personalized evaluation system
分类号:
G434
文献标志码:
A
摘要:
根据大数据技术的模块构成和电子书包所包含的系统和功能,对电子书包中教育大数据的模块内容进行了分析。之后,在评价内容上从课程内容学习、参与互动交流、考试与作品和课外资源学习四个方面进行了细分和聚类,构建了基于电子书包的个性化学习评价模型。在评价结果上,依据柯氏四级评估模式和布鲁姆教学目标分类理论设计了基于教育大数据的个性化评价层次塔,该层次塔包括学习成效、概念转变、学习迁移和学习力四个层级。最后,结合教育大数据、教育云服务、个性化评价模型和评价层次塔,设计了个性化学习评价系统模型,包括信息采集模块、数据分析与处理模块、个性化评价模块和可视化反馈模块,并通过云管理层实现对教育云服务平台、云存储池和云集群计算平台的调控和管理,以期为后面开展个性化评价系统的设计与开发提供有益的指导。
Abstract:
The module contents of educational big data in the electronic schoolbag are analyzed according to the module contents of big data and the system and function contained in the electronic schoolbag. Then, a personalized learning evaluation model is constructed after the evaluation contents including learning curriculum contents, participating in interactive communication, taking examination and work, and learning extra-curricular resources are subdivided and clustered. As to evaluation results, the personalized evaluation level tower based on educational big data is designed under the guidance of Kirkpatrick Model and Bloom’s instruction target classification theory. The level of the tower includes four degrees which are learning performance, transforming concept, transfer of learning and learning capacity. Finally, combined with educational big data, educational cloud service, a personalized evaluation model and evaluation level tower, a model of personalized learning evaluation system is designed, which includes information collection module, data analysis and processing module, personalized evaluation module and visual feedback module. Besides, the platforms including educational cloud platform, cloud storage pool, and cloud cluster computing platform are controlled and managed through the cloud management. This system model is to provide useful guidance for the design and development of personalized evaluation system in the future.

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备注/Memo

备注/Memo:
本文系2014年度北京师范大学自主科研基金项目“电子书包中基于大数据的学生个性化信息挖掘与应用研究”的研究成果。
更新日期/Last Update: 2014-09-25