远程教育杂志
遠程教育雜誌
원정교육잡지
DISTANCE EDUCATION JOURNAL
2014年
5期
90-96
,共7页
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
電子書包%教育大數據%箇性化學習評價模型%箇性化評價層次塔%箇性化評價繫統
전자서포%교육대수거%개성화학습평개모형%개성화평개층차탑%개성화평개계통
Electronic schoolbag%Educational big data%Personalized learning evaluation model%Personalized evaluation level tower%Personalized evaluation system
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。
根據大數據技術的模塊構成和電子書包所包含的繫統和功能，對電子書包中教育大數據的模塊內容進行分析。之後，在評價內容上從課程內容學習、參與互動交流、攷試與作品和課外資源學習四箇方麵進行瞭細分和聚類，構建瞭基于電子書包的箇性化學習評價模型。在評價結果上，依據柯氏四級評估模式和佈魯姆教學目標分類理論設計瞭基于教育大數據的箇性化評價層次塔，該層次塔包括學習成效、概唸轉變、學習遷移和學習力四箇層級。最後，結閤教育大數據、教育雲服務、箇性化評價模型和評價層次塔，設計瞭箇性化學習評價繫統模型，包括信息採集模塊、數據分析與處理模塊、箇性化評價模塊和可視化反饋模塊，併通過雲管理層實現對教育雲服務平檯、雲存儲池和雲集群計算平檯的調控和管理，以期為後麵開展箇性化評價繫統的設計與開髮提供有益的指導。
근거대수거기술적모괴구성화전자서포소포함적계통화공능，대전자서포중교육대수거적모괴내용진행분석。지후，재평개내용상종과정내용학습、삼여호동교류、고시여작품화과외자원학습사개방면진행료세분화취류，구건료기우전자서포적개성화학습평개모형。재평개결과상，의거가씨사급평고모식화포로모교학목표분류이론설계료기우교육대수거적개성화평개층차탑，해층차탑포괄학습성효、개념전변、학습천이화학습력사개층급。최후，결합교육대수거、교육운복무、개성화평개모형화평개층차탑，설계료개성화학습평개계통모형，포괄신식채집모괴、수거분석여처리모괴、개성화평개모괴화가시화반궤모괴，병통과운관리층실현대교육운복무평태、운존저지화운집군계산평태적조공화관리，이기위후면개전개성화평개계통적설계여개발제공유익적지도。
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.
