教育数据:制式化、设计及作为研究范式

发布时间：2018-06-07 07:25

本文选题：教育大数据 + 教育数据制式　；参考：《湖南师范大学教育科学学报》2017年05期

【摘要】：教育数据是人类主观建构的记载教育系统及其活动和活动结果的体系。在大数据时代,教育数据既是科学研究范式又是产品和资源。此研究论述了教育数据制式及其结构与内容、教育数据设计及其结构与内容,以及作为科学研究范式的教育大数据。教育数据制式由数据形态、数据限度及数据开发三个维度的规定组成。教育数据设计由分析数据需求信息、确定数据目标体系、设计数据结构、确定数据构成要素、确定数据采集方式、确定数据设计结果等前后相继的六项工作组成。教育大数据作为科学研究范式,是对已有教育研究范式的集成或折衷,是一种同时具有有限客观性和主观性的研究范式。它对教育学学术研究提出的实质性挑战是,教育学尽快建立起教育信息学和计算教育学两个分支,为促进教育实现从工业化教育到数字化教育的转型提供理论指导。
[Abstract]:Educational data is a system of human subjective construction that records the educational system and its activities and results. In the era of big data, educational data is not only the paradigm of scientific research, but also the product and resource. This study discusses the educational data system and its structure and content, the educational data design and its structure and content, and the educational big data as the paradigm of scientific research. Educational data system consists of three dimensions: data form, data limit and data development. The design of educational data consists of analyzing the information of data demand, determining the data target system, designing the data structure, determining the elements of data composition, determining the way of data collection, and determining the result of data design. As a scientific research paradigm, educational big data is the integration or compromise of the existing educational research paradigm, and it is a kind of research paradigm with limited objectivity and subjectivity at the same time. Its substantive challenge to the academic research of pedagogy is that pedagogy should establish two branches of educational informatics and computational pedagogy as soon as possible to provide theoretical guidance for promoting the transition of education from industrialized education to digital education.
【作者单位】：华东师范大学教育学部;
【分类号】：G434

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