评估教育数据的质素保证参考架构

Antonia Stefani, B. Vassiliadis
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引用次数: 0

摘要

在正式和非正式的在线教育环境中,数字教育内容作为教学方法的孵化器正变得越来越重要。它的教育效率直接取决于它的质量,然而教育内容不仅仅是信息和数据。本文提出了一个新的数据质量框架,用于评估用于远程学习环境中教学的数字教育内容。该模型依赖于ISO2500系列质量标准,除了提供多方面质量评估机制外,它还支持组织设计,创建,管理和使用质量工具(表示为质量度量和测量方法)的教育内容,以提供更有效的远程教育体验。该模型利用数据和软件质量特征来描述教材内容的质量特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Quality Assurance Reference Framework for Assessing Educational Data
Digital educational content is gaining importance as an incubator of pedagogical methodologies in formal and informal online educational settings. Its educational efficiency is directly dependent on its quality, however educational content is more than information and data. This paper presents a new data quality framework for assessing digital educational content used for teaching in distance learning environments. The model relies on the ISO2500 series quality standard and beside providing the mechanisms for multi-facet quality assessment it also supports organizations that design, create, manage and use educational content with the quality tools (expressed as quality metrics and measurement methods) to provide a more efficient distance education experience. The model describes the quality characteristics of the educational material content using data and software quality characteristics.
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