Developing comprehensive data architectures for educational institutions to ensure consistency, accuracy, and accessibility across platforms

Authors

Venkata Narasareddy Annapareddy
Sr Enterprise Application Developer, University of Maryland, Baltimore

Synopsis

As many educational institutions are entrusted with the primary responsibility to provide suitable training that would equip learners with the necessary talents and capabilities, they have a vital role in the development, management, delivery, and evaluation of the curricula for their services. Data is very important. By preserving, aggregating, and analyzing significant data, the institutions could capture the different dimensions of the curricula, model the various processes involved, and properly protect the collective wealth of the relevant information. Through this, they would be in a better position to provide quality services, comprehend the needs of the different partners in the education value chain, demonstrate their achievements, and follow up carefully on the different performances related to the business, managerial, and instructional operations. By making use of the qualities of the inherent IT technology, educational institutions, particularly those that operate within the context of e-education, including training centers, coursework providing entities, electronic tutoring services, and libraries, are able to exploit the different benefits of the web to provide electronic versions of their courses, create electronic knowledge representations with the expectation of being useful for those seeking certification, and address and satisfy both learners and trainers alike. With these models, they should be in a critical position to enable both the students and the teachers that are interacting within measurable and consistent institutional frameworks. With the passing of time, the different educational activities have become primarily performance or information exchange based. The increased level of competitiveness in the different education sectors increases this trend.

Published

13 April 2025

Categories

How to Cite

Annapareddy, V. N. . (2025). Developing comprehensive data architectures for educational institutions to ensure consistency, accuracy, and accessibility across platforms . In Connected Intelligence: Transforming Education and Energy with Big Data, Cloud Connectors, and Artificial Intelligence (pp. 164-183). Deep Science Publishing. https://doi.org/10.70593/978-93-49307-42-1_8