电子教科书质量模型与评价方法研究

E. Kurilovas, S. Serikoviene
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引用次数: 1

摘要

本文旨在分析和提出电子教科书等学习对象LOs质量评价方法,即质量模型和简单有效的专家评价方法,从而改进利用信息工程方法解决教育任务的方法。定性学习材料是影响学习质量的主要因素之一。因此,评价电子教科书和其他LOs质量是最相关的教育问题之一。这个问题与教育部门的所有参与者都有关系——教育机构(如学校)必须根据自己的需要选择定性的学习材料,教育政策制定者在实施电子教科书和其他LOs招标时需要明确的质量标准,学习材料的作者(如出版商)需要了解创建电子教科书和其他LOs的质量要求等。很明显,一些电子教科书和其他LOs可能对某些质量标准非常定性,而另一些则对其他标准非常定性,反之亦然。因此,电子教科书等LOs质量评价是一个典型的案例,应应用多准则决策分析MCDA理论。在工作中,应用MCDA原则根据LOs备选方案的质量创建一个客观排名,并根据“理想”质量评估每个备选方案的质量。在工作中,提出了电子教科书和其他LOs的可重用性和质量标准体系即模型,并建立了基于模糊数理论的专家质量评价方法。
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On e-Textbooks Quality Model and Evaluation Methodology
The paper aims to analyse and propose e-textbooks and other learning objects LOs quality evaluation methodology, i.e., quality model, and simple and effective expert evaluation methods, thus improving solution of educational tasks using informatics engineering methods. Qualitative learning material is one of the main factors of learning quality. Therefore, evaluation of e-textbooks and other LOs quality is one of the most relevant education problems. The problem is relevant for all participants of the educational sector-for educational institutions e.g. schools that have to select qualitative learning material for their needs, for education policy makers who need clear quality criteria while implementing e-textbooks and other LOs tenders, for authors of learning material e.g. publishers who need to know quality requirements to create e-textbooks and other LOs etc. It is obvious that some e-textbooks and other LOs could be very qualitative against some quality criteria, and the others-against the other criteria, and vice versa. Therefore, e-textbooks and other LOs quality evaluation is a typical case where one should apply multiple criteria decision analysis MCDA theory. In the work, MCDA principles are applied to create an objective rank of LOs alternatives according to their quality, and to evaluate each alternative's quality against "ideal" quality. In the work, e-textbooks and other LOs reusability and quality criteria system i.e. model is presented, as well as created expert quality evaluation method based on fuzzy numbers theory.
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