THE TASK OF EVALUATING THE QUALITY OF EDUCATIONAL CONTENT
DOI:
https://doi.org/10.35546/kntu2078-4481.2024.3.34Keywords:
online learning, LMS platform, online course development, distance learning, quality assessment, Moodle.Abstract
The paper shows the features of organizing online learning within the educational space, presents a technology for assessing the overall quality of an online course (electronic content) using an information platform for distance learning. Modern education is characterized by a steady trend of transition to digitalization and personification of learning. Modernization of education is currently associated with the introduction of adaptive, practice-oriented and flexible educational programs. At the same time, existing platforms for creating e-learning courses do not yet have the ability to intellectualize the learning process, flexibly adapt the content of education to the individual needs of participants in the educational process, do not contain convenient intelligent tools to support developers of online courses, automate routine operations for structuring educational content. The concept of a personal learning environment is presented, which is formed using a group of services based on the active participation of users in the process of creating educational content. These services are called social services and represent the basis of the modern concept of Web 2.0/3.0. Their key feature is the use of a collective mind, a distributed intellectual system. It is emphasized that the educational process is transformed from a simple transfer of data and educational content into a collective process of content creation, which is based on collaboration and comprehensive communication. Participants in personal learning environments learn how to create information connections, communication lines, independently extract and transfer knowledge and use it. The paper offers a basic classification of approaches to assessing the quality of online courses and electronic content, which can be supplemented and expanded in the future. It is shown that in the simplest case, the general procedure for evaluating and examining a training course is based on mathematical processing of a set of course quality indicators evaluated by experts (determining the importance and informative value of indicators, averaging). Efficient intelligent data processing algorithms underlie the development of adaptive online learning technologies implemented in educational processes. The basic principles of synthesizing a system for evaluating the quality of online courses are developed.
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