摘要
【目的/意义】信息技术与互联网技术的飞速发展让教育行业进入了大数据时代。由于学习者在整个学习过程中的学习行为数据能够被记录下来,这种多源过程性数据为基于大数据的教育评价提供了新的可能。【方法/过程】本文从学习者行为特征视角出发,设计了多源过程性数据驱动的学习者综合评价模型。该模型利用流数据聚类算法对不断涌入的学习者数据进行处理,及时生成或更新学习者画像,然后基于学习者画像对学习者学习行为进行分析,构建学习者综合评价模型,以实现对学习者学习表现的实时反馈。【结果/结论】该模型可以对学习者的学习过程进行综合评价,及时的反馈有助于教学评价的开展,同时丰富现有的教学评价体系,为实现教学评价与优化教学的良性循环提供依据和参考方向。【创新/局限】本文提出了过程性数据驱动的对学习者动态综合评价模型,后续将基于研究模型开展实际应用研究。
【Purpose/significance】The rapid development of information technology and Internet technology has brought the education industry into the era of big data.As learners’learning behavior in the whole learning process can be recorded completely,education big data provides new ideas for the deep reform of education evaluation.【Method/process】From the perspective of learner behavior characteristics,this paper designs a learner comprehensive evaluation model driven by multi-source process data.In this model.the streaming data clustering algorithm is used to process the continuous influx of learners’data.generate or update learners’portraits in time.then analyze learners’learning behavior based on learners’portraits,and build a comprehensive evaluation model for learners.so as to complete the real-time feedback of learners’learning performance.【Result/conclusion】The model can comprehensively evaluate the learning process of learners and give feedback in time,which is helpful to the development of teaching evaluation,enriches the existing teaching evaluation system.and provides the basis and reference direction for realizing the virtuous cycle of teaching evaluation and optimization.【Innovation/limitation】In this paper.,a process data-driven dynamic comprehensive evaluation model for learners is proposed.and the research-based model will be applied to the actual data.
作者
张倍思
陈烨
齐艺
董庆兴
ZHANG Bei-si;CHEN Ye;QI Yi;DONG Qing-xing(School of Information Management,Central China Normal University,Wuhan 430019,China)
出处
《情报科学》
CSSCI
北大核心
2022年第5期104-110,共7页
Information Science
基金
国家自然科学基金面上项目“面向群智感知大数据的群体评价模型与方法研究”(71871102)
国家自然科学基金青年项目“基于多视角学习的社会化问答平台用户画像研究”(71904057)
华中师范大学研究生教学改革研究项目“面向‘双一流’学科建设的研究生跨学科联合培养机制研究:以大数据管理与应用专业为例”(2019JG15)。
关键词
过程性数据
综合评价
学习者评价
知识服务
教育大数据
process data
comprehensive evaluation
learner evaluation
knowledge services
educational big data
