Abstract

This study aimed at determining the Problems encountered by the elementary school heads in the implementation of distance learning modality in Lavezares II District Division of Northern Samar, for school year 2020-2021. Respondents of the study were composed of fourteen (14) elementary school heads. Complete enumeration was considered to ensure accuracy of the findings of the study. Generally, findings revealed that the elementary school heads “moderately encountered” problems in the implementation of distance learning modality in the present New Normal education. In particular, it was on the statement “overlapping tasks and reports asked by the division office about the development of distance learning implementation”, “activities in the SLMS are too many which could not be copied by the learners in a particular allotted time”, “poor internet connectivity affected schools’ processes in terms of accessing and submission of school reports and extending support to learners in terms of Video Recording Discussion (VRD)”, “difficulty on the part of the parents to teach their children because of their limited knowledge too”, and “insufficient MOOE fund for the implementation of distance learning modality” that the elementary school heads “highly encountered” them while implementing distance learning modality. Regression analysis revealed that generally, there was no significant relationship between the profile of the elementary school heads and their problems encountered in the implementation of distance learning modality. Though, the number of trainings attended by them found to be significant predictor of their problems encountered in the implementation of distance learning, however, it did not give impact to the overall results of significance value. Revealed from the findings of the study that there was a significant relationship between profile of the school and the problems encountered by the elementary school heads in the implementation of distance learning modality. Indeed, it was the enrolment and the MOOE fund allocation which came out to be predictor variables.