Decision-making framework for improved educational resilience under pandemic events

The recent pandemic events have significantly affected people and institutions worldwide. Multiple issues and difficulties arise, with an increasing number of challenges. In this work, we address the impact of pandemic events on educational resilience, and we provide guidelines for addressing such concerns by using a structured framework assisted by data-driven and decision-making capabilities. The educational resilience framework is comprised of five steps: data collection, data analysis, gaps formulation, solution development, and implementation planning. First, a data-driven strategy collects data from the internet, literature, surveys, and previous knowledge. Second, analyses are carried out to draw patterns and insights that can serve as indicatives of potential improvements. Third, the most critical gaps are analysed and classified according to a cost-effectiveness criterion. Fourth, guidance is provided to handle these gaps, whereby proper solutions are developed considering the availability of resources (time, effort, money) and outcomes (benefits, accomplishments, profit). Finally, a deployment plan is built using the structured solution. From the proposed guidelines, educational resilience improvements can be achieved for people, academia, industry, and society, in a wide variety of problems and applications and with multiple significant benefits. The results and conclusions derived from this work illustrate how a decision-making framework can be effectively and interestingly employed towards easier and more efficient educational strategies, methodologies, and policies.