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All Journal Economic Journal of Emerging Markets Malikussaleh Journal of Mathematics Learning (MJML) Journal of Basic Education Research
Sangco, Resa Mae R.
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Economics, Econometrics & Finance Education Mathematics Social Sciences

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Assessing the Resilience and Preparedness of Basic Education Teachers for Distance Learning During the Covid-19 Pandemic in Surigao del Sur, Philippines Patan, Juvy P.; Patan, Romeo A.; Sangco, Resa Mae R.
Journal of Basic Education Research Vol 6 No 2 (2025): May
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jber.v6i2.1442

Abstract

Purpose of the study: This study assesses the preparedness, challenges, and coping mechanisms of basic education teachers in Surigao del Sur, Philippines, for online learning during the Covid-19 pandemic. Methodology: A descriptive-evaluative quantitative design was employed, surveying 1,281 professional teachers from the divisions of Tandag City, Bislig City, and Surigao del Sur. Participants were selected through stratified and simple random sampling. Data were collected using a validated questionnaire and analyzed through correlation tests and one-way ANOVA in R and Jamovi software. Main Findings: Findings indicate that most teachers were moderately prepared for online learning but faced significant challenges, including limited access to technology, poor internet connectivity, and insufficient resources. Teacher readiness was strongly correlated with effective coping mechanisms, underscoring the importance of institutional support, collaboration, and adaptability. This study provides localized insights into the experiences of rural educators in the Philippines during a health crisis, emphasizing resilience and institutional backing in sustaining education. Novelty/Originality of this study: By highlighting the critical role of preparedness and adaptability, it offers practical recommendations for enhancing teacher support systems and mitigating future educational disruptions.
The Impact of Problem Posing Strategies on Mathematical Performance, Ability, and Anxiety in Grade 7 Students: A Quasi-Experimental Study Sangco, Annaliza Requirme; Elpidang, Elan M.; Sangco, Resa Mae R.
Malikussaleh Journal of Mathematics Learning (MJML) Vol. 5 No. 1 (2022): May
Publisher : Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/mjml.v5i1.7423

Abstract

This study aims to investigate the impact of the problem-posing strategy on the mathematical performance, skills, and anxiety levels of Grade 7 students. Two groups with an equal number of participants were subjected to different instructional strategies: the control group received traditional guided practice, while the experimental group experienced an integrated problem-posing approach. Employing a quasi-experimental design, the study utilized a teacher-made test as both a pre-test and post-test to assess students' academic achievement in mathematics. Additionally, the Modified Abbreviated Math Anxiety Survey (mAMAS) was employed to gauge students' anxiety levels. The experimental group received instruction through the problem-posing method, whereas the control group was taught using traditional guided practice. The findings indicate a significant difference between the two teaching methods, demonstrating that students' mathematics performance is influenced by the instructional strategy used.
Impact of greenhouse gas emission, renewable energy, and economic growth on health expenditure in Southeast Asia: A comparative analysis of econometric models Sangco, Resa Mae R.
Economic Journal of Emerging Markets Volume 16 Issue 2, 2024
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ejem.vol16.iss2.art8

Abstract

Purpose — The study explores the effects of greenhouse gas emissions, renewable energy, and economic growth on health expenditures across Southeast Asia while comparing the performance of different econometric models for accuracy in analysis.Method — To analyze the relationships among variables, the study employs three econometric models, the Autoregressive Distributed Lag Model, the co-integration Model, and the Quantile Regression Model, using annual data from 2000 to 2020.Findings — The results reveal that greenhouse gas emissions and GDP significantly influence health expenditure in all three models. However, the significance of renewable energy consumption varies, with only the quantile regression model indicating a significant relationship with health expenditure. Model comparison based on Mean Squared Error (MSE) suggests that the autoregressive distributed lag (ARDL) model provides the most accurate predictions. Also, it found that there is a short-run and long-run causal effect of GHG and GDP on health expenditure, as well as health spending on GDP.Implication — This study helps to understand how economic growth, environmental factors, and healthcare spending interact to develop sustainable policies to address health and environmental problems in Southeast Asia.Originality — This research contributes to the body of knowledge examining the impact of economic and environmental factors on health expenditures in Southeast Asia through a comparative analysis of different econometric models.
Co-Authors Elpidang, Elan M. Patan, Juvy P. Patan, Romeo A. Sangco, Annaliza Requirme