Azmitia, Margarita, et al. “Dropping Out Is Not an Option”: How Educationally Resilient First-Generation Students See the Future.” New Directions for Child and Adolescent Development, vol. 2018, no. 160, 2018, pp. 89-100. Wiley. Web.
This article by Azmitia et al. addresses first-generation college-going students’ (FGCS) resilience that enables them to persist through college until graduation (90). According to the authors, FGCS tend to view a college education as the key to their future goals and are therefore less likely to drop out compared to students from college-going families. Dropping out is not imaginable for FGCS because all they want is to change their lives. This motivation is derived from the harsh living conditions experienced at home that prompt them to aim higher and reach new heights through education (Azmitia et al. 92). This article is relevant to my research because it addresses the dropout rate among students focusing on FGCS and students from college-going families. Family background is one of the crucial factors determining student’s education attainment (Azmitia et al. 94). For this reason, this article is essential in unveiling the huge impact of family education as a basis for students’ willingness and ability to complete their studies. The information found in this article helps to narrow down the impact of family background and educational level on students’ dropout rate, facilitating a deeper understanding of truancy and its causes.
Chung, Jae Young, and Sunbok Lee. “Dropout Early Warning Systems for High School Students Using Machine Learning.” Children and Youth Services Review, vol. 96, 2019, pp. 346-353. Elsevier BV. Web.
This article on early warning systems for students’ dropout is essential for my research. It addresses the role of Big Data and machine learning in predicting the student’s dropout (Chung and Lee 347). Technological solutions are the most effective and reliable, thereby calling for their application in learning systems. As the dropout rates continue increasing, students’ Big Data can be used to predict the probability of dropout. This prediction is crucial for the development of strategies to help students found to be most likely to drop out. This article is relevant to my study, mainly because it describes the solution to the high rate of student dropout. In view of the current technological advancement and the need for accuracy, Big Data becomes the most efficient method of assessing the probability of dropout among students. In today’s fast-paced environment, machine learning offers a quick and efficient analysis for most social and economic problems. Its application in education is demonstrated in this research article. The article present research data verifying the application of this method, thus implying that it is reliable and relevant to my study.
Johnston-Goodstar, Katie, and Ross VeLure Roholt. “Our Kids Aren’t Dropping out; They’re Being Pushed out”: Native American Students and Racial Microaggressions in Schools.” Journal of Ethnic & Cultural Diversity in Social Work, vol. 26, no. 1-2, 2017, pp. 30-47. Informa UK Limited. Web.
This article by Johnston-Goodstar and VeLure Roholt deals with the issue of dropout on a different level. The authors focus on the role of teachers and school administration in enforcing or limiting students’ dropout. According to them, the main reason for dropout among Native Americans is the misguided notion of education as a family-level phenomenon. Teachers’ discriminatory handling of students and the widespread microaggressions have contributed to high truancy rates among native Americans. This article is crucial for my research because it extensively addresses the factors that cause widespread dropout among Native Americans. Focusing on the single group of Native Americans, the impact of teachers’ attitudes and handling of students can be shown more explicitly. I will incorporate this information when discussing the solution to students’ dropout, where I will outline teachers’ and school administrations’ change of attitude and anti-discriminatory campaigns.
Mughal, Abdul Waheed, et al. “Perspectives of Dropped-Out Children on Their Dropping Out from Public Secondary Schools in Rural Pakistan.” International Journal of Educational Development, vol. 66, 2019, pp. 52-61. Elsevier BV. Web.
Mughal et al. address the dropout among Pakistani students through a research study to evaluate the reasons for dropouts for the development of suitable strategies to limit truancy. The authors note that many Pakistani youths who drop out of school before completing their secondary school cite many push and pull factors as the main reasons behind their unwillingness to finish school (Mughal et al. 54). One of the factors mentioned by the interviewed students is the lack of satisfaction. Many students felt that school was not giving them what they needed for their lives. The fact that this article is based on scientific research makes it relevant and reliable. While governments work to ensure students access free primary and secondary education, focus should be given to students at the grassroots level (Mughal et al. 54). Involving the students is crucial in understanding the real problems plaguing students and what can be done to limit the problem. This article is relevant for my research because it addresses the need for student participation in developing viable solutions for the high dropout rates.
Ogresta, Jelena, et al. “Why Do We Drop Out? Typology of Dropping Out of High School.” Youth & Society, vol. 52, no. 6, 2020, pp. 62-94. Web.
Many governments around the world facilitate students’ access to primary and secondary education. One may therefore wonder why students drop out before getting their high school certificates. This article by Ogresta et al. unravels the problem of student dropout by analyzing the main reasons behind high dropout rates among high school students (Ogresta et al. 3). In essence, the authors subdivided the reasons into four main categories based on their results. The two main reasons cited by students are poor academic performance and external pressures. The authors note that it would be essential to analyze the impacts of stressful situations because they have shown a significant effect on truancy among high school students. This article plays a crucial part in my research because it aids in developing practical solutions to students’ dropout by elaborating on the causes of truancy from the students’ perspectives. I will utilize this resource in assessing the factors causing dropout among students and how individual learners view those reasons.
References
Azmitia, Margarita, et al. “Dropping Out Is Not an Option”: How Educationally Resilient First-Generation Students See the Future.” New Directions for Child and Adolescent Development, vol. 2018, no. 160, 2018, pp. 89-100. Wiley. Web.
Chung, Jae Young, and Sunbok Lee. “Dropout Early Warning Systems for High School Students Using Machine Learning.” Children and Youth Services Review, vol. 96, 2019, pp. 346-353. Elsevier BV. Web.
Johnston-Goodstar, Katie, and Ross VeLure Roholt. “Our Kids Aren’t Dropping out; They’re Being Pushed out”: Native American Students and Racial Microaggressions in Schools.” Journal of Ethnic & Cultural Diversity in Social Work, vol. 26, no. 1-2, 2017, pp. 30-47. Informa UK Limited. Web.
Mughal, Abdul Waheed, et al. “Perspectives of Dropped-out Children on Their Dropping out from Public Secondary Schools in Rural Pakistan.” International Journal of Educational Development, vol. 66, 2019, pp. 52-61. Elsevier BV. Web.
Ogresta, Jelena, et al. “Why Do We Drop out? Typology of Dropping out of High School.” Youth & Society, vol. 52, no. 6, 2020, pp. 62-94. Web.