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    教育大数据背景下教学评价理论发展的路向

    Development Trend of Teaching Evaluation Theory under Background of Educational Big Data

【作      者】:

毛 刚, 周跃良, 何文涛


【关 键 词 】:

教育大数据; 教学评价理论; 智慧教育; 评价方法; 价值认识


【栏      目】:

理论探讨


【中文摘要】:

教育大数据的应用在推动教育深刻变革的同时呼吁理论创新。然而,主客二分的传统思维对技术的教育应用持批判态度,大数据应用容易招致“忽视人的发展”的质疑。对此,在阐明大数据背景下教学评价在场形态的基础上,从方法与价值两个方面为教育大数据支持的评价进行合理性辩护,并指明理论发展的路向。一是从评价融于教学活动过程、数据整合教学评价系统和人机协同成就智慧评价三个维度阐述基于教育大数据的评价方法与原则;二是围绕教育大数据评价的价值认识问题,描绘评价驱动教学生态进化、培育主体自觉并推动学习价值持续生成的图景,从而论证教育大数据背景下智慧评价在促进人的发展中的意蕴。


【英文摘要】:

The application of educational big data calls for theoretical innovation while promoting the profound reform in education. However, the traditional thinking of subject-object dichotomy holds a critical attitude towards the application of technology in education, and the application of big data can easily lead to doubts about "ignoring human development". In this regard, on the basis of clarifying the presence of teaching evaluation in the context of big data, this paper justifies the evaluation supported by educational big data from two aspects of method and value, and points out the direction of theoretical development. First, this paper expounds the evaluation methods and principles based on educational big data from three dimensions: evaluation integrated into the teaching activity process, data integration teaching evaluation system and human-computer collaborative achievement intelligent evaluation. Second, in view of the value perception of educational big data, this paper describes the landscape that evaluation drives the evolution of teaching ecology, fosters the subjective consciousness and promotes the continuous generation of learning value, so as to demonstrate the implication of intelligent evaluation in promoting human development under the background of educational big data.

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