Printed Modular Distance Learning in Philippine Public Elementary Schools in Time of Covid-19 Pandemic
Quality, Implementation, and Challenges
Bibliographic Data
| ID | 19587809 |
|---|---|
| Authors | Allen Jake S Talimodao (0000-0003-4183-1233), Dennis V Madrigal (0000-0001-5891-2473, University of Negros Occidental – Recoletos) |
| Year | 2021 |
| Volume | 4 |
| Issue | 3 |
| Pages | 19-29 |
| Publication date | 2021-10-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philippine Social Science Journal (JOURNAL) |
| Journal identifiers | ISSN: 2672-3107 • E-ISSN: 2704-288X |
| Publisher | University of Negros Occidental - Recoletos (PUBLISHER) |
| DOI | 10.52006/main.v4i3.391 |
| OpenAlex | W3208768558 |
| Language | EN |
| Citations received | 6 |
| References cited | 4 |
Coronavirus Disease 2019 forced educational sectors worldwide to implement various distance learning modalities. In the Philippines, printed modular distance learning modality was implemented to continue delivering quality and relevant education amid the pandemic. Thus, this study assessed the quality and implementation of PMDL in public elementary schools. Likewise, this study ranked the challenges encountered by the teachers in the quality and implementation of PMDL. Using descriptive and inferential analyses, the results revealed that both quality and implementation of PMDL were consistently excellent, indicating the adherence of the modality to the national standards set by the Department of Education. However, significantly lower quality of PMDL among small and medium schools and the encountered challenges of teachers on assessments, activities, outputs, parents' incapacity, inconsistent participation, and compliance established the need for instructional supervision
Business · Disease · Distance education · Mathematics education · Medical education · Modalities · Modular design · Pandemic · Political science · Public relations · Sociology · Computer Science · Medicine · Psychology · Technology-Enhanced Education Studies · Artificial Intelligence
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| Unique citing works | 6 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |