Due to the effect of the current pandemic that the world is experiencing, the educational system swiftly remedied the problem of student learning. This study assessed the students' internet connection capability and the availability of learning devices at their homes. The researchers used a descriptive cross-sectional research design with the online survey as the primary tool for data gathering. Using a convenience sampling technique, this study garnered 2,894 responses from students at a local higher education institution in Central Luzon, Philippines. The study used a modified questionnaire and subjected the gathered data to simple statistical analysis. Based on the results of the survey, 70% of the students have internet access at home. On the other hand, smartphone tops the list of the learning devices that is available for learning for students. To conclude, the institution can therefore implement a flexible learning plan for the students especially this time of the pandemic period. In addition, the researchers also suggested some important recommendations in the learning system of the institution.

The Pandemic thrust the workforce in the private and public sectors into alternative work arrangements. For higher education institutions in the Philippines, it was a sudden shift to a flexible learning modality to ensure continuity of learning. This cross-sectional descriptive study assessed the readiness of 219 faculty and 69 staff in a local college for alternative work arrangements in terms of access to transportation, their health condition, information technology resources, connectivity, and their preferences in terms of alternative work arrangements. Results show that most respondents use public transportation to work and a minor percentage have medical conditions that make them susceptible to the COVID-19 virus. The top information technology (I.T) resources available to the respondents at home are smartphones/iPhones, laptops, and printers. Most have intermittent internet connectivity, with DSL/Fiber Connectivity and mobile data the most common types. Finally, the majority believe they can work from home, given the nature of their duties. However, more respondents prefer a hybrid work arrangement to a full-time work-from-home placement. The researchers presented some essential implications for a hybrid workforce model at the end of the paper.