Papers by Emily Jo Vizmonte
Social Science Research Network, 2024
Objectives. The paper aims to perceive if a country's cultural characteristics following ... more Objectives. The paper aims to perceive if a country's cultural characteristics following Hofstede's Cultural Dimensions have an impact on its educational performance, in general. The study intends to: (i) determine the relationship between educational performance and cultural dimensions; (ii) evaluate how each cultural dimension affects educational performance; and (iii) present possible prediction of PISA scores by evaluating cultural dimensions following Hofstede's Cultural Dimensions Theory.
Objectives. This paper aims to perceive if there is a trade-off between the time spent on the int... more Objectives. This paper aims to perceive if there is a trade-off between the time spent on the internet and social media and the educational performance of students, across countries. Specifically, this study intends to determine the relationship between internet usage and educational performance; evaluate the impact of social media usage to educational performance; and predict PISA scores by evaluating data on internet and social media usage. Methods. The experiment utilizes PISA scores as dependent variable while time spent on internet and social media are the independent variables. Correlation analysis was performed to assess the relationship among the target variables. Linear regression was executed to generate a model that predicts PISA scores using data on time spent on the internet and social media. Results. The results show a strong inverse relationship between the dependent variable (PISA scores) and the independent variables (time spent on internet and/or social media). Model fitting results using 2018 data show that the variability of the model with time spent on social media as the predictor is significantly higher (62% R-squared) than with time spent on the internet as the predictor (24% R-squared). Highest variance explanation (74% R-squared) is constituted on the model with time spent on both internet and social media as predictors. Discussion and Recommendations for Future Research. The results of the experiment strongly suggest that the time spent on internet and social media generally has negative impact on PISA scores. Notably, the experiment also showed that the independent variables are potentially good predictors of PISA scores. The resulting coefficients of the third scenario imply that time spent on the internet marginally increases PISA score, but time spent on social media decreases it. Interestingly, the predictive power of time spent on social media was stronger in 2018 than 2015 perhaps due to the fact that in moving towards a digital world, the use of social media is more prevalent as years pass. This study may need a follow-through when the next round of PISA results become available. By then, the impact of pandemic could be embedded into the analysis.
Social Impact Research Lab examines opportunities for analytics and artificial intelligence in cr... more Social Impact Research Lab examines opportunities for analytics and artificial intelligence in creating social impact. It presents frameworks and methodologies that utilize data for social good. Existing applications and publications on analytics and artificial intelligence that were crafted within the realm of social good are presented along with the discussion of its current and potential impact on society.
Air quality has been observed to improve during the COVID-19 pandemic as countries executed commu... more Air quality has been observed to improve during the COVID-19 pandemic as countries executed community lockdowns that restricted mobility during the pandemic. This paper discusses the Mobility over Air Quality Index (MAQI) which aims to gauge relative changes in levels of air pollution generated by changes in population mobility. MAQI combines mobility indices produced by Google with NO2 readings obtained from Earth Observations as a metric that can be visualized over time. We discuss the development of MAQI from the recent EO Dashboard Hackathon sponsored by NASA, ESA, and JAXA, recent developments in the project, and directions for further study.
This labor market intelligence report provides a holistic overview of the supply, demand, and mis... more This labor market intelligence report provides a holistic overview of the supply, demand, and mismatch of skills in the Analytics labor sector of the Philippines. With the aim of informing skills trends and supporting growth of the labor market amidst the Fourth Industrial Revolution coupled with implications brought by the global pandemic, this report also presents an initial attempt in extrapolating the Philippine analytics workforce, with backcasted and forecasted projections from 2010 to 2028. Through a mixed-methods research, the study examined various quantitative, qualitative, and big data sources to understand the interplay of supply and demand for skills, and to provide corresponding key insights and recommendations intended to guide the Analytics Association of the Philippines, as the established Skills Sector Council, create an inclusive skills development roadmap. The report highlights the need to standardize the definitions of Analytics roles, leveraging the framework proposed by the Analytics Association of the Philippines. We discuss the need for more specialized Analytics courses, the production of more instructors, Analytics as a distinct sector from IT-BPM, and the prospect of professional licensing and certification for the sector. We also highlight existing trends that promote the development of the Analytics labor sector such as women participation, work from home arrangements, online learning, the emergence of Analytics communities, and the impending importance of Data and AI Ethics.
Philippine Business for Education, 2022
This labor market intelligence report provides a holistic overview of the supply, demand, and mis... more This labor market intelligence report provides a holistic overview of the supply, demand, and mismatch of skills in the Analytics labor sector of the Philippines. With the aim of informing skills trends and supporting growth of the labor market amidst the Fourth Industrial Revolution coupled with implications brought by the global pandemic, this report also presents an initial attempt in extrapolating the Philippine analytics workforce, with backcasted and forecasted projections from 2010 to 2028. Through a mixed-methods research, the study examined various quantitative, qualitative, and big data sources to understand the interplay of supply and demand for skills, and to provide corresponding key insights and recommendations intended to guide the Analytics Association of the Philippines, as the established Skills Sector Council, create an inclusive skills development roadmap. The report highlights the need to standardize the definitions of Analytics roles, leveraging the framework proposed by the Analytics Association of the Philippines. We discuss the need for more specialized Analytics courses, the production of more instructors, Analytics as a distinct sector from IT-BPM, and the prospect of professional licensing and certification for the sector. We also highlight existing trends that promote the development of the Analytics labor sector such as women participation, work from home arrangements, online learning, the emergence of Analytics communities, and the impending importance of Data and AI Ethics.
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Papers by Emily Jo Vizmonte