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

Research on Model of Personalized Learning Evaluation System Based on Educational Big Data in the Electronic Schoolbag

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。

The module contents of educational big data in the electronic schoolbag are analyzed according to the module con- tents 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 ex- amination and work, and learning extra-curricular resources are subdivided and clustered. As to evaluation results, the personalized e- valuation level tower based on educational big data is designed under the guidance of Kirkpatrick Model and Bloom＇s instruction tar- get 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 mod- el 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 in- cluding 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.