TITLE:
A Quality Assurance Reference Framework for Assessing Educational Data
AUTHORS:
Antonia Stefani, Bill Vassiliadis
KEYWORDS:
Quality Assurance Framework, Data Model, Digital Educational Content, ISO25000 Series
JOURNAL NAME:
Journal of Data Analysis and Information Processing,
Vol.9 No.4,
November
30,
2021
ABSTRACT: 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.