DEVELOPMENT OF MULTIMEDIA INFORMATION WEB-BASED EDUCATIONAL SYSTEMS USING BIG DATA TECHNOLOGY
DOI:
https://doi.org/10.32782/tnv-tech.2024.4.14Keywords:
big data, learning, sociotype, clustering, multimedia technologies, multimedia information systems, database usage and configuration methods, development methods.Abstract
Among multimedia web-based information systems, educational multimedia information systems are increasingly taking a significant place today. Therefore, in the development of a design method for this subclass, there is a need to create tools for the integration and use of multimedia databases for such systems. With the development of multimedia technologies, new opportunities arise for improving the quality of teaching in universities. This is also facilitated by the development of big data processing technologies. Big data technology allows for the collection and analysis of vast amounts of data generated during the educational process, which provides a deeper understanding of pedagogical activities. However, extracting useful information from these massive data volumes and transforming it into strategies for improving teaching is a challenging task. In addition to the usefulness of the information itself, it is essential to consider the cognitive abilities of learners, specifically their sociotypes. The aim of the study is to develop a method for monitoring and improving the quality of teaching based on big data technology, combining the k-means clustering algorithm and an algorithm for accounting for the individual characteristics of students. To address these issues, this paper proposes a method for researching big data technology, based on the combined k-means clustering algorithm and the algorithm for cognitive feature analysis of learners. This approach can significantly improve the effectiveness of forming the necessary competencies in students by creating individualized learning trajectories.
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