Modular Type of Learning Management System Services Formation based on Semantic Proximity

2023

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.12700/aph.20.7.2023.7.14
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Despite the many ready-made LMS solutions, there is a problem of creating LMS systems with a flexible architecture and meeting all user requirements.When creating such systems, it is difficult to take into account all the requirements for the functionality of the system.This paper proposes an approach to the formation of a service-oriented LMS based on modules.At the same time, depending on the functionality, the user can form the necessary functionality based on services, processes and objects.A cluster approach is used to form a finite set of modules.