research paper about dropouts in the philippines pdf

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First page of “School dropouts in the Philippines: causes, changes and statistics”

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School dropouts in the Philippines: causes, changes and statistics

2023, Sapienza: International Journal of Interdisciplinary Studies

School dropout is a major problem as it has negative impacts that result in high social costs. A learner can be called a dropout when the learner fails to enroll in school despite having reached the mandatory school age. This paper aims to identify the root causes of school dropouts in the Philippines, specifically in all regions for the years 2008 and 2013. The secondary data on the proportion of population 6 to 24 years old who are not attending school from the website of the Philippine Statistics Authority were used. The data were analyzed using R version 4.2.1. This paper employed descriptive statistics, namely frequency and percentage to identify the root causes of dropping out in the Philippines when grouped according to region and year. Percentage change (increase and decrease) were explored to track changes in the causes of school dropouts. The findings indicated that the high cost of education, and student employment or when the student is seeking employment were the root causes of dropouts in the Philippines for the years 2008 and 2013, respectively. Based on the findings, it is recommended that the Philippine government, through the Department of Education, should prioritize programs that will address the root causes of the school dropouts with the goal of decreasing the dropout rate in general.

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The study aims to determine the predictors of Junior High students drop out rate in Zamboanga del Norte National High School.The study employs a longitudinal research design since the rate of drop outs will be compared for the past 7 years to see the significant difference between the predictors and which of the years has the highest rate of dropouts in terms of age, gender, location and reason. In getting the rate of dropouts the researchers used the simple dropout rate and in analyzing the data the researchers were able to utilize the linear regression using the SPSS software. that the school year 2012-2013 has a rate of 0.20%, 2013-2014 has 3.15%, 3.31% for school year 2014-2015, 2015-2016 has 3.10%, 2016-2017 has a rate of 4.50%, 3.20% for school year 2017-2018, and in 2018-2019 has a rate of 2.81%. When it comes to age, the age 1 (A1; 12-14 years old) it has a mean score of 30.8571, age 2 (A2;15-17 years old) has a mean score of 61.000, age 3 (A3;18-20 years old) gave a mean score of 10.8571 and a mean score of 1.2857 for age 4 (A4;21 above). Among the four age, age 2 (A2;15-17 years old) has the highest mean score of 61.000 we can see that A2 is increasing and tells us that A2 is most likely who will dropouts. In terms of gender the male has the highest rate of dropouts having a total mean score of 69.8571 and a standard deviation of 30.90539 than in females whose total mean score is 32.00. Among the five locations, L2 (Within Dipolog City) has the highest mean of 72.7143 may conclude that L2 has the highest rate of dropout. The researchers were able to determine that the reason 1 (R1; Undetermined) has the highest mean score compared to the other reasons and reason 4 (R4; Enrolled to ALS) as the lowest.Rate of dropouts has gradually increased for the past 5 years and started to decrease for SY 2016-17, 2017-18 and 2018-2019. Male students, aged 15 to 17, residents within Dipolog City and students with undetermined reasons have higher drop-out rates. However, only ages 15 to 17 and residents outside Mindanao were predictors of drop-out rates. It also concluded that despite of the reasons of students who were drop-outs, majority of them are undetermined.

Dropping out, an essential indicator to the schools’ performance, is a serious educational problem all over the world. Thus, an investigation on the possible contribution of Family, Individual, Community and School (FICS) related factors to a Learner at Risk of Dropping out (LARDO) was done to aid identification and immediate remediation of Junior High School Learners in a Division in Cebu, Philippines for the School Year 2016-2017. Logistic regression analysis was performed to create a model to predict the probability of being a learner at risk. It showed increase of prediction power from 50% to 88% as the independent variables were entered. The following variables were found significant: (a) gender; (b) deceased father; (c) cyber situation; (d) broken family; (e) inferiority complex; (f) child labor; and (g) lack of community support. Disturbing gender equity issues were evident in the results with increased likelihood for male students of being a LARDO. An intervention plan was ...

School dropout leads to failure in social integration, and as a result greatly diminishes a person's chances to achieve personal success in legally accepted fields of activity. The prevention and reduction of this phenomenon are extremely difficult to achieve due to the high complexity of its causes. Research that has been carried out into this problem leads to the conclusion that there has been an increase in the number of students facing school adjustment problems and it also attempts to answer the question whether there has been a real increase in the number of dropouts or if the situation should be put down to a series of very different and complex factors. A just identification and analysis of these factors would help reveal the action to be taken and eventually lead to a decrease and prevention of school dropout. Apart from the ineffectiveness of social policies in our country, a successful result of such an intervention would be the result of the joint efforts of a multi-curricular approach, involvement of social institutions and team work.

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International Journal of Science and Management Studies (IJSMS)

In the educational context, one of the biggest problems that affect the performance of school institutions is what concerns dropouts. This study aims to describe the state of the art of school dropouts. It considered that the decision of students to interrupt their training itinerary brings adverse effects not only for the subject who evades since the magnitude of this problem causes damage to the whole society. The method used was the conceptual bibliographic submitted by Nascimento-e-Silva (2012; 2020), which consists of four phases: a) definition of research questions; b) data collection; c) organization and analysis of data, and; d) generation of responses. The study inferred that among the causes detected in the consulted literature, there are both causes relevant to the personal scope of students who drop out and the causes related to the education system and how education is organized from an institutional point of view. The conclusion shows that the school institutions need ...

Across the globe, the percentage of students that drop out of school has reach epidemic proportions; therefore, a review of empirical research studies (reporting research instruments, procedures, analysis, design, limitations, and results) that focuses on the factors that impact school dropout was deemed necessary. The studies that met the identified search criteria are from both developed and developing countries. With the dropout rate reaching pandemic proportions in some areas of the world, the authors surmise a look at current international research that may prove beneficial in reducing the number of students that prematurely end their formal education without a diploma. We discuss international dropout statistics, intervention programs, and limitations. Thirty-four articles from thirteen countries fit the criteria for this paper. Primary and secondary themes are discussed indicating the decision to drop out is complex and a result of many factors, including learning problems, l...

This study aims to find the factors and dominant factors causing drop out in West Nusa Tenggara, Indonesia. The data collection used in-depth interviews and data analysis used an interactive model. The factors identified causing dropout are; laziness, poor motivation of children to go to school, negative perceptions about their cognitive abilities and their parents to pay fees, weak family economic, lack of motivation and guidance of parents, pessimistic towards the sustainability of children's education, weak parents' expectations in education, weak parents' expectations to the future of children, weak parents' attention to children's education, neglect of children, association with peers who are not in school, and gender-biased in culture. From these factors, the dominant factors are the poor motivation of children to go to school, gender-biased in cultures, lack of parents' expectations in education, weak parents' expectations of their children's f...

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