
Simple Technology, Smarter Solutions
A Post-Pandemic Model for Informative Systems
Free
The COVID-19 pandemic catalyzed a rapid shift toward digitalization and the use of technological tools to maintain instructional integrity under unprecedented conditions. This study proposes a data-analytics model designed to enhance learning and decision-making processes by simplifying complex technological systems. By leveraging a 4-year growth plan, the paper outlines how stakeholders can use data as an intelligence source to refine traditional learning methods, ensuring they are adaptable and sustainable. The model addresses the challenges faced in developing countries and provides practical solutions for future educational and organizational development in post-pandemic contexts.
