Optimizing Digital Learning with a Comparative Evaluation of Cloud-Based LMS in Higher Education
Shodiyakhon InomkhojaevaWestminster International University in Tashkent, Uzbekistan. shodiyainomhojaeva@gmail.com0009-0003-5792-6445
Fotima BabajanovaGulistan State University, Uzbekistan. babajanovafotima@gmail.com0009-0003-5272-617X
Ural AbilovTashkent State Medical University, Uzbekistan. ural152950@gmail.com0009-0006-2955-8704
Mansur OngarovDoctor of Philosophy (PhD) in Pedagogical Sciences, Associate Professor, National University of Uzbekistan named after Nizami, Uzbekistan. mansurongarov76@gmail.com0009-0000-3983-529X
Zebo MamaraimovaTermiz State University, Uzbekistan. mamaraimovaz@tersu.uz0009-0009-9884-0094
Sarvar AkobirovaTashkent State University of Law, Uzbekistan. akobirovasarvara@gmail.com0000-0003-2526-2835
Gulhayo BuriyevaTashkent State University of Law, Uzbekistan. gulkhayo.buriyeva@mail.ru0009-0009-7541-3620
Tohir HaqqulovJizzakh State Pedagogical University, Uzbekistan. tohirhaqqulov1986@gmail.com0009-0000-7019-1939
Implementing digitalization in higher education (HE) through modern digital classrooms (DC) is progressively advancing towards Education 4.0. In conjunction with the accomplishments in this process, issues about technology and psychological variables exist. A learning management system (LMS) is a primary resource for HE, which has demonstrated improved progress for learners and superior learning outcomes globally. Numerous digital learning tools are available, each with distinct advantages and disadvantages regarding learning within DC. The number of users is perpetually rising, and the current tools are undergoing updates, redevelopment, and enhancements. This study presents a Comparative Analysis of Cloud-Based Learning Management Systems in Higher Education (CC-LMS-HE) aimed at Improving Digital Classrooms (DC) in Uzbekistan. The paper examines the key requirements and variables for selecting a CC-LMS in a Uzbek HE institution (HEI). The selected variables and associated parameters are design, technological innovations, communication standards, and knowledge didactic parameters. This paper compared and examined the 10 most prominent CC-LMS utilized in Uzbek HE universities (Moodle, Edmodo, Brightspace, iSpring, Canvas, Docebo, Open edX, Google Classroom, Edmodo, Schoology) according to the aforementioned criteria and parameters. The platforms were chosen using the Expert Assessment (EA) methodology. According to EA, Open edX, Canvas, and Google Classroom are identified as superior systems, achieving high ratings across all criteria, thereby demonstrating their robust appropriateness for DC in Uzbek HEI.