Student-Centered Learning Environments Based on Multimedia Big Data Analytics

Nowadays, the use of student-centered learning environments in education has tremendously increased. At the heart of the learning environment are student responsibility and activity, in contrast to teacher control and academic content coverage found in traditional, didactic teaching. As the term recommends, student-centered learning is an approach to learning or teaching that puts students at the center. This study was very meaningful as a result of numerous discussions on the different learning activities of student-centered learning, and the teachers lack the focus, especially for schools which are at the start of their progress toward a student-centered learning environment. This study has been important. Different multimedia education tools and big data analytics have been implemented with technological help and integrated into the development of education and learning. This comprises an asynchronous and synchronous learning environment for digital learning. This study adopted the Multimedia-Assisted Student-Centered Learning model using big data analytics, which addresses crucial policies to help education institutions achieve such conversion in a more systematic method by clarifying teachers' guidelines. The simulation results show that the proposed model enhances student attention (97.3%), efficiency (90.1%), student retention rate (97.5%), involvement (98.2%), and learning outcome (95.3%) when compared to other approaches.

Automated summary

The use of student-centered learning environments in education has increased significantly. This study adopted the Multimedia-Assisted Student-Centered Learning model using big data analytics to help education institutions achieve transformation and improve student attention, efficiency, retention rate, involvement, and learning outcome.