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Articles 1 - 4 of 4
Full-Text Articles in Education
Addressing The Poor Mathematics Performance Of Filipino Learners: Beyond Curricular And Instructional Interventions, Minie Rose C. Lapinid, Macario O. Cordell Ii, Jude Michael Teves, Sashimir A. Yap, Unisse Chua Ms., Allan B.I. Bernardo
Addressing The Poor Mathematics Performance Of Filipino Learners: Beyond Curricular And Instructional Interventions, Minie Rose C. Lapinid, Macario O. Cordell Ii, Jude Michael Teves, Sashimir A. Yap, Unisse Chua Ms., Allan B.I. Bernardo
Angelo King Institute for Economic and Business Studies (AKI)
This study aimed to determine predictive models that would identify the most important predictor variables for students in the lowest proficiency group in public schools and private schools. After experimenting with different machine learning approaches, the random forest classifier (SVM) models were found to perform most accurately (Lundberg & Lee, 2017). To identify the most important predictors of being a poor performer in mathematics, Shapley values were generated, which produces a ranked list of several features in descending order. To manage complexity in comparing the key variables for private and public student performance classification, the 10 most significant features for …
Using Machine Learning Approaches To Explore Non-Cognitive Variables Influencing Reading Proficiency In English Among Filipino Learners Final Report, Rochelle I. Lucas, Macario O. Cordell Ii, Jude Michael M. Teves, Sashmir A. Yap, Unisse C. Chua, Allan I. Bernardo
Using Machine Learning Approaches To Explore Non-Cognitive Variables Influencing Reading Proficiency In English Among Filipino Learners Final Report, Rochelle I. Lucas, Macario O. Cordell Ii, Jude Michael M. Teves, Sashmir A. Yap, Unisse C. Chua, Allan I. Bernardo
Angelo King Institute for Economic and Business Studies (AKI)
Filipino students ranked last in reading proficiency among all countries/territories in the PISA 2018, with only 19% meeting the minimum (Level 2) standard. It is imperative to understand the range of factors contributing to low reading proficiency, specifically variables that can be the target of interventions to help the students with poor reading proficiency. We used machine learning approaches, specifically binary classification methods, to identify the variables that best predict low (Level 1b and lower) vs. higher (Level 1a or better) reading proficiency using the Philippine PISA data from a nationally representative sample of 15-year-old students. Several binary classification methods …
Towards A Flexible Learning Ecosystem In Philippine Tertiary Education, Robert C. Roleda, Ador R. Torneo, Raymond R. Tan
Towards A Flexible Learning Ecosystem In Philippine Tertiary Education, Robert C. Roleda, Ador R. Torneo, Raymond R. Tan
Angelo King Institute for Economic and Business Studies (AKI)
The Philippines has responded to the COVID-19 pandemic by implementing a lockdown in an effort to suppress the spread of the disease. This measure has led to unprecedented disruption in many sectors of the economy. Educational institutions have similarly been affected. As schools are the ideal breeding ground for “super spreader” events, the suspension of face-to-face instruction is an important control measure from a public health perspective. Physical closures may need to be maintained even after the lockdown is eased. This situation poses a challenge on how to maintain the continuity of the Philippines’ human capital development during the pandemic.
Learning With Friends: A Rational View Of Remote Learning With Network Externalities In The Time Of Covid-19., Paul John M. Pena
Learning With Friends: A Rational View Of Remote Learning With Network Externalities In The Time Of Covid-19., Paul John M. Pena
Angelo King Institute for Economic and Business Studies (AKI)
The authors provide a rational view of the issue of online learning in the time of coronavirus and cite necessary conditions that must be considered to make remote learning optimal, inclusive and engaging for students and faculty. Featuring a model of human capital accumulation with network externalities, the policy brief maintains that "...in the time of coronavirus, learning need not be quarantined, too."