Open AccessConceptual design of the new generation adaptive learning management system
Author(s) -
Aleksandrs Gorbunovs,
Žanis Timšāns,
Bruno Žuga,
Viktors Zagorskis
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.28.12894
Subject(s) - computer science , adaptive learning , learning management , personalized learning , analytics , path (computing) , learning analytics , adaptive system , adaptive management , data science , artificial intelligence , knowledge management , human–computer interaction , machine learning , multimedia , open learning , cooperative learning , mathematics education , teaching method , psychology , ecology , biology , programming language
Taking into account that each new day an amount of daily processed data grows exponentially, it is obvious that knowledge society needs flexible, effective and high performing tools to retrieve, learn and apply necessary information. Learning management systems become more and more intelligent and adaptive. Learning analytics instruments give course developers a possibility to assess and analyze learners’ activities and behavior patterns within e-learning environment, allowing to propose them personalized self-paced learning path and types of learning objects. This paper discusses challenges in development of adaptive learning management system and outlines its prospective models and properties.