Widely and universally used e-learning systems (ELS) remain the subject of close attention of researchers. An integral and most important part of the ELS is digital educational content. This is a key element for both distance and full-time education, and in recent years it has been widely used not only in higher education, but also in general education. Assessing the quality of educational content for the expert community is a delicate issue, the complexity of which is due to the examinator subjectivity. Modern automation tools, developed within the framework of the artificial intelligence paradigm, which have already demonstrated the ability to solve various problems, allow us to approach this issue from a new position.
The purpose of the article is to present the results of a preliminary study of approaches to increasing the accuracy and objectivity of the examination of the quality of digital educational content through partial automation of expert procedures.
The leading research methods are analysis, examination, modeling, ascertaining experiment, description.
As a result, a theoretical justification for automating the examination of the quality of digital educational content as a new interdisciplinary scientific research area is presented, tasks are set, goals and methods are defined, and the first results obtained within this area are presented. It is shown that the development goal will be the formation of an expanded description of the process of examination of the quality of digital educational content, including proposals for expert procedures implemented only by automation means, description of the examination information model and interpretation of the results of automatic examination.
The novelty of the results obtained lies in the formation of the theoretical foundations for automatic analysis of the digital educational content quality. This will form a fundamentally new quality of assessment procedures in relation to electronic means of teaching and education, based on objective and measurable qualitative characteristics and indicators, formalized stages (processes) of examination, and quantitatively qualified assessment results.