The College Drop-out: Factors Affecting Senior College Completion

1968 ◽  
Vol 41 (3) ◽  
pp. 305 ◽  
Author(s):  
Alan E. Bayer
Keyword(s):  
Drop Out ◽  
College Completion ◽  
Factors Affecting ◽  
Senior College ◽  
College Drop Out

scholarly journals Factors affecting immunization coverage in urban slums of Odisha, India: implications on urban health policy

2013 ◽  
Vol 1 (2) ◽  
pp. 18 ◽  
Author(s):  
Santosh K. Prusty ◽  
Bhuputra Panda ◽  
Abhimanyu S. Chauhan ◽  
Jayanta K. Das
Keyword(s):  
Child Survival ◽  
Immunization Coverage ◽  
Cost Effective ◽  
Population Based ◽  
Urban Slums ◽  
Drop Out ◽  
Factors Affecting ◽  
Effective Interventions ◽  
Immunization Services ◽  
Local Decision

Infectious diseases are major causes of morbidity and mortality among children. One of the most cost-effective interventions for improved child survival is immunization, which has significant urban-rural divides. Slum dwellers constitute about one-third of Indian population, and most children still remain incompletely immunized. The main purpose of this study was to understand the factors behind partial or non-immunization of children aged 12-23 months in slum areas of Cuttack district, India. Session-based audit and a population-based survey were conducted in the urban slums of Cuttack city, April-June 2012. Total 79 children were assessed and their mothers were interviewed about the nature and quality of immunization services provided. Children fully immunized were 64.6%. Antigen-wise immunization coverage was highest for Bacillus Calmette-Guérin (BCG) (96.2%) and lowest for Measles (65.8%), which indicates high instances of late drop-out. Frequent illnesses of the child, lack of information about the scheduled date of immunization, frequent displacement of the family and lack of knowledge regarding the benefits of immunization were cited as the main factors behind coverage of immunization services. The study showed that there is an urgent need to revise the immunization strategy, especially for urban slums. District and sub-district officials should reduce instances of early and late dropouts and, in turn, improve complete immunization coverage. Community participation, intersectoral co-ordination and local decision making along with supportive supervision could be critical in addressing issues of drop-outs, supply logistics and community mobilization.

scholarly journals Factors Affecting Students' Dropout Rate During COVID-19

2021 ◽  
Author(s):  
Anita Shuja ◽  
Prof. Dr. Akhtar Ali ◽  
Sana Shuja Ahmad Khan ◽  
Shafiqa Bilal Burki ◽  
Shaham Bilal Buki
Keyword(s):  
Third World ◽  
Dropout Rate ◽  
Drop Out ◽  
Public And Private ◽  
Factors Affecting ◽  
Financial Conditions ◽  
Teachers And Students ◽  
Problematic Issue ◽  
Major Factors ◽  
The Masses

<p>Education has always been considered as the linchpin for a country’s economic and social development. The dropout rate in schools especially in third-world countries has always been a problematic issue and the situation has further been worsened by the COVID-19 pandemic. This study primarily aims at studying the factors affecting the school dropout rate during pandemic. Lockdown is the first step that any country starts to adopt for the safety of its general public. This severely affects the masses' financial conditions, especially for the parents of students at risk, as the dropout rate increases with financial pressures. The slogan “stay home stay safe” has further aggravated the fear of the parents to send their children out and attend schools. The data for the study was collected from twenty public and private schools of two divisions, including seven districts of the province of Punjab, Pakistan, using interviews of policymakers, parents of dropouts, teachers, and students. The study is corollary to several issues already highlighted in various other articles to transpire the details of drop-out rates in developing countries in general and Pakistan in particular. The study revealed financial conditions, lockdown effects, mode of learning, government policies, fear of death, the psyche of the parents, socio-cultural effects, the role of teachers and administrators, most affected level, contributory factors were amongst the major factors. Finally, the study will analyze the effects of dropout and will help suggest measures to control the dropout rate in Pakistan in particular and third world countries in general.</p>

Understanding How Learners Use Massive Open Online Courses and Why They Drop Out

2016 ◽  
Vol 55 (5) ◽  
pp. 724-752 ◽  
Author(s):  
Ghada Refaat El Said
Keyword(s):  
Online Courses ◽  
Drop Out ◽  
Learning Activity ◽  
Massive Open Online ◽  
Factors Affecting ◽  
Massive Open Online Course ◽  
Semistructured Interviews ◽  
Independent Design ◽  
Design Factors ◽  
Self Learning

This article presents a qualitative study on Massive Open Online Course (MOOC) dropout in a developing world. Thematic analyses of semistructured interviews were conducted with 52 learners, eight weeks after their actual registration for a course of their choice as part of a self-learning activity. The results uncover novel design factors affecting MOOC retention. Among these factors are Learner Control, in which users can design their own long-term learning track from various course modules; Integrative Design, comprising learners’ own accounts on social media; and Independent Design, in which a course’s modules can be taught separately and learners need not complete an overall course but rather can select modules from various courses. Mobility and Language are identified as important decisive factors for users to drop out from or complete a MOOC Course. This research also highlights the importance of Diversity and Novelty for this type of application. The research reveals the Multitasking Behavior of users, leading to the need for Easy-to-Scan content. The findings provide a basis for improving the understanding toward reasons for MOOC drops and suggest a number of practical design recommendations for designers and providers. Furthermore, the completion rate observed in this study was slightly higher than was typically found in previous studies. This result might suggest that using a MOOC as a learning opportunity within the context of a university-accredited program would increase the likelihood of completion.

Is There a Retention Gap for Women and Minorities? The Case for Moving In Versus Moving Up

2011 ◽  
pp. 143-164 ◽  
Author(s):  
Andrea H. Tapia ◽  
Lynette Kvasny ◽  
Eileen M. Trauth
Keyword(s):  
Native Americans ◽  
Hispanic Americans ◽  
Racial Diversity ◽  
Educational Programs ◽  
Intervention Strategies ◽  
Drop Out ◽  
Factors Affecting ◽  
Participation Of Women ◽  
It Workforce ◽  
Management Behaviors

This chapter will examine the “retention gap” between the goals of gender and racial diversity and the workplace/management behaviors that affect retention of individuals in those groups. Women, as well as African Americans, Hispanic Americans, and Native Americans, are represented in the information technology (IT) workforce in percentages that are far lower than their percentages in the population as a whole. These populations are also under-represented in the educational programs that prepare people for careers as IT workers. While recruiting efforts are crucial for increasing the participation of women and minorities, it is equally important that we retain those already in the IT workforce. It is clear that nothing is gained by bringing women and minorities into the workforce to simply have them drop out or be weeded out. There is a need to deepen our understanding of retention issues for women and minorities in order to inform intervention strategies. This chapter addresses this need by providing an in-depth examination of factors affecting attraction, development, and especially retention of minorities and women in IS.

Challenges in Participant Engagement and Retention using Mobile Health Apps: A Literature Review (Preprint)

2021 ◽  
Author(s):  
Saki Amagai ◽  
Sarah Pila ◽  
Aaron J Kaat ◽  
Cindy J Nowinski ◽  
Richard C Gershon
Keyword(s):  
Regression Model ◽  
Mobile Health ◽  
Meta Analysis ◽  
Research Literature ◽  
Drop Out ◽  
Factors Affecting ◽  
Participant Engagement ◽  
Binomial Regression ◽  
Mobile Health Apps ◽  
Mhealth Apps

BACKGROUND Mobile health (mHealth) apps are revolutionizing the way clinicians and researchers monitor and manage the health of their participants. However, many studies using mHealth apps are hampered by substantial participant drop-out, or attrition, which may impact the representativeness of the sample and the effectiveness of the study. It is therefore imperative for researchers to understand what makes the participants stay with mHealth apps and/or studies using mHealth apps. OBJECTIVE This study aimed to review current peer-reviewed research literature in order to identify notable factors and strategies used in participant engagement and retention of adults. METHODS We conducted a systematic search of PubMed, MedLine, and PsycINFO databases for mHealth studies that evaluated and assessed issues and/or strategies to improve engagement and retention of adults from 2015 to 2020. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Notable themes were identified and narratively compared amongst different studies. A binomial regression model was generated to examine factors affecting retention. RESULTS Of the 389 identified studies, 62 were included in the review. Overall, the majority of studies were at least partially successful in maintaining participant engagement throughout. Factors related to particular elements of the app (e.g., feedback, appropriate reminders, and in-app support from peers or coaches) and strategies for research (e.g., compensation and niche samples) that promote retention were identified. Factors that obstruct retention were also identified (e.g., lack of support features, technical difficulties, and usefulness of app). The regression model results showed that a participant is more likely to not be retained than they would be retained. CONCLUSIONS Retaining participants is an omnipresent challenge for mHealth studies. The insights from this review should help inform future studies about factors and strategies to improve participant retention.

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