Exploiting Artificial Intelligence-Based and Standard Learning Management Systems in Blended and Distance-Learning Models Cover Image

Exploiting Artificial Intelligence-Based and Standard Learning Management Systems in Blended and Distance-Learning Models
Exploiting Artificial Intelligence-Based and Standard Learning Management Systems in Blended and Distance-Learning Models

Author(s): Kateryna Osadcha, Natalia Shumeiko
Subject(s): Social Sciences, Education, Education and training, Other
Published by: VERBUM - vydavateľstvo Katolíckej univerzity v Ružomberku
Keywords: Learning management system; Artificial Intelligence; Blended mode of learning; Moodle; Claroline; EdApp; Higher education; Information and communication technologies

Summary/Abstract: In this article, the authors analyze the matters related to AI-based and standard learning management systems (LMSs), investigate their role in education, and note their relevance in the organization of students’ training at universities. The authors consider LMSs as resources in the teaching-learning process during the coronavirus pandemic when universities have entirely moved to online education, highlighting LMSs’ essential and fundamental relevance. Moodle and Claroline were instruments and online platforms that provided additional support to learners in a distance-learning mode at that period. Delivering knowledge to learners, tailoring the content of the study, and making educational materials available to learners are much more effective with the LMS, in our view, not only in the online mode but also in a blended learning format. The research contributes to an in-depth understanding of how AI-based and standard LMSs such as Moodle, Claroline, and EdApp help teachers monitor the learning process remotely and help students feel supported in learning.

  • Issue Year: XXIII/2024
  • Issue No: 5
  • Page Range: 52-66
  • Page Count: 15
  • Language: English
Toggle Accessibility Mode