Affiliation:
1. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
2. National University of Life and Environmental Sciences of Ukraine
Abstract
In the modern environment of a higher education institution, an individual approach to learning is becoming increasingly important to maximize the efficiency of the educational process, improve the quality of education, and meet the needs of each student. The article investigates the capabilities of the Moodle learning management system for the implementation of individual student learning trajectories, which will consider both the level of initial and intermediate knowledge and the student's learning style: auditory, visual, digital, and kinesthetic. The functionalities of the LMS Moodle learning management system for personalizing training courses, and creating various types of educational content and assessment tools that will contribute to the effective learning of each student, taking into account their individual needs and capabilities by building an individual student trajectory are considered. The article demonstrates an example of successful implementation of an individual learning path using Moodle resources in a higher education institution, presents the procedure for forming an individual educational path of students based on the resources of the Moodle LMS, and discusses the advantages of this approach for the training and development of modern students. To determine the level of satisfaction of students, an online survey was conducted among 34 students majoring in 126 "Information Systems and Technologies" at the National University of Life and Environmental Sciences of Ukraine (NULES) who studied according to the implemented individual trajectory using the LMS Moodle within the Information Technology course. As a result, a conclusion was made about the positive impact of personalization of learning by selecting different types of resources considering the learning style (according to the VARK model) of the student and learning on an individual trajectory on their level of satisfaction.
Publisher
Borys Grinchenko Kyiv Metropolitan University
Reference15 articles.
1. Bradley, V. (2021). Learning management system (LMS) Use with online instruction. International Journal of Technology in Education, 4(1), 68-92. doi: 10.46328/ijte.36
2. Romero, C. & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(3). doi: 10.1002/widm.1355
3. Dobashi, K., Ho, C. P., Fulford, C. P., Lin, Meng-Fen G. & Higa, C. (2022). Learning pattern classification using moodle logs and the visualization of browsing processes by time-series cross-section. Computers and Education: Artificial Intelligence, 3(100105). doi: 10.1016/j.caeai.2022.100105
4. Smyrnova-Trybulska, E., Morze, N. & Varchenko-Trotsenko, L. (2022). Adaptive learning in university students' opinions: Cross-border research. Education and Information Technologies, 27(5), 6787-6818. doi: 10.1007/s10639-021-10830-7
5. Sayfullayevna, E. (2023). Individual Educational Trajectory as a Way to Improve the Effectiveness of Learning. International Journal of Research, 10(6), 301-307. https://doi.org/10.5281/zenodo.8087591