TY - JOUR
AU - Saiapina, T P
AB - The quality organization of the educational process using video-based microlearning technology can have several benefits for students. These include the ability to learn at their own pace and according to their individual needs, access from anywhere at any time, and focus on specific topics and tasks, which allows them to better absorb the learning material. Microlearning technology is being used effectively in business for employee training. However, the present study focused on the process of teaching using microlearning technology based on video content within the discipline Information Systems and Technologies in Economics. The experiment involved teachers and students of the National University of Life and Environmental Sciences of Ukraine (NULES). To evaluate the quality of video-based microlearning technology, a data coverage measurement and analysis model (SBM-DEA) was used. The input factors were indicators of the quality of the e-course and learning technology, and the output parameters were students’ academic performance, students’ and teachers’ evaluation of the e-course and learning technology. The results showed that out of 39 respondents, 29 confirmed the effectiveness of this technology, which is 75% of the total. This indicates that the introduction of microlearning technology into the educational process has improved learning outcomes and that this technology has been positively evaluated by both teachers and students. The results of the study are important for improving the quality of organization of the educational process using the technology of microlearning based on video content, identifying key factors of quality of microlearning based on video content.
TI - Microlearning technology based on video content: advantages, methodology and quality factors
JF - Journal of Physics Conference Series
DO - 10.1088/1742-6596/2871/1/012028
DA - 2024-10-01
UR - https://www.deepdyve.com/lp/iop-publishing/microlearning-technology-based-on-video-content-advantages-methodology-d39TENFD9W
VL - 2871
IS - 1
DP - DeepDyve
ER -