Leveraging Moodle for personalized learning: exploring the relationships between course design and student outcomes

- Фадєєва, Л. О. (orcid.org/0000-0003-4906-2539) and Семеріков, С.О. (orcid.org/0000-0003-0789-0272) (2024) Leveraging Moodle for personalized learning: exploring the relationships between course design and student outcomes In: Conference proceedings of the VII International Scientific-Practical Conference “Information Technology for Education, Science and Technics” (ITEST-2024), (Cherkasy, May 23-24, 2024) . ЧДТУ, м. Черкаси, Україна, pp. 328-329.

Text Conference-Proceedings-ITEST-2024_25_06-328-329.pdf - Published Version Download (548kB)

Abstract

This research aims to determine whether the use of resources and activities in the Moodle LMS contributes to personalized learning and improved student outcomes. The rationale is based on social constructivism – the pedagogical theory underlying Moodle LMS. The study proposes a conceptual model of the relationships among Moodle constructs that influence personalized student learning: information, resources, activities, communications, and external assessment. Ten hypotheses are put forward regarding the relationships between these constructs. It is expected that the active use of resources, activities, and communication in Moodle will foster better learning outcomes for students and, consequently, higher grades. The research has practical implications for developing personalized learning courses based on Moodle LMS to enhance adaptive learning effectiveness.

Item Type:	Book Section
Keywords:	Moodle, adaptive learning, personalized learning, learning management system, student outcomes
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User:	Сергій Олексійович Семеріков
Date Deposited:	21 Jul 2024 11:03
Last Modified:	21 Jul 2024 11:03
URI:	https://lib.iitta.gov.ua/id/eprint/741789

Downloads

Actions (login required)

View Item