Going to sleep and going to school: Linking bedtime to student absenteeism

2021 ◽  
Author(s):  
Michael A. Gottfried ◽  
J. Jacob Kirksey
Keyword(s):  
Student Absenteeism

scholarly journals The influencing factors of absenteeism among nursing students

2017 ◽  
Vol 7 (10) ◽  
pp. 64 ◽  
Author(s):  
Safaa M. Abdelrahman ◽  
Abeer M. Abdelkader
Keyword(s):  
Nursing Students ◽  
Influencing Factors ◽  
Negative Impact ◽  
University Hospitals ◽  
Clinical Area ◽  
Fourth Level ◽  
Safe Learning Environment ◽  
Student Absenteeism ◽  
Self Administered Questionnaire ◽  
Assessment Factor

The absence of nursing students from classrooms and clinical has a negative impact on their performance and prolongs the length of their studying. The aim of this study is to identify the influencing factors of absenteeism among nursing students at Minia University. This study was conducted at the Faculty of Nursing at Minia University, and Minia University Hospitals. The sample of students that participated in the study represented all academic levels as follows: first level 49/370, second level 49/292, third level 52/248, and fourth level 50/220. Data were collected with the use of a self-administered questionnaire. This study revealed that influencing factors of absenteeism among the studied nursing students indicated that the highest mean scores were associated with teaching factors, followed by assessment factor where means scores were (18.3 ± 4.5, and 17.1 ± 5.6, respectively). Also, the lowest mean score reported was associated with social problems (mean = 8.9 ± 3.2). This study concluded that the most common contributory factors in student absenteeism were related to teaching factors including a shortage of staff in the clinical area, and lack of understanding of the lecture content. Recommendations: Providing a safe learning environment, keeping accurate records of attendance and calculating absenteeism rates at frequent intervals are required for identifying each individual’s pattern of attendance.

scholarly journals Causes of Student Absenteeism and School Dropouts

2016 ◽  
Vol 9 (1) ◽  
pp. 195-210 ◽  
Author(s):  
Şeyma Şahin ◽  
◽  
Zeynep Arseven ◽  
Abdurrahman Kılıç ◽  
◽  
...  
Keyword(s):  
School Dropouts ◽  
Student Absenteeism

Green Schools: Strengthening Our Economy by Investing in Our Children

2009 ◽  
Vol 19 (2) ◽  
pp. 255-257
Author(s):  
John M. Weekes
Keyword(s):  
Public Schools ◽  
Teacher Turnover ◽  
Energy Use ◽  
The United States ◽  
School Design ◽  
Percent Reduction ◽  
Green Schools ◽  
History Of ◽  
American Schools ◽  
Student Absenteeism

An architect looks at the history of school design and construction in the United States, which by 2008 had approximately 97,000 public schools holding 54.3 million students and five million teachers. About 73 percent of the schools were built prior to 1969. A study has shown that Green Schools can produce a 30–50 percent reduction in energy use, 35 percent reduction in carbon dioxide, a 40 percent reduction in water use, and cut 70 percent in solid waste. Further, student absenteeism and teacher turnover were reduced and productivity increased three percent. If all American schools were Green, the country would save nearly $1 trillion in the next 10 years.

University Student Absenteeism

2014 ◽  
pp. 454-466 ◽  
Author(s):  
Xavier M. Triado ◽  
Pilar Aparicio-Chueca ◽  
Joan Guàrdia-Olmos ◽  
Natalia Jaría-Chacón ◽  
Maribel Peró Cebollero ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Student Performance ◽  
Multivariate Analyses ◽  
University Student ◽  
Faculty Members ◽  
Empirical Approach ◽  
Interesting Topic ◽  
Two Samples ◽  
Performance Profiles ◽  
Student Absenteeism

Work on university student absenteeism is an interesting topic that treats motivation problems and its important consequences, like dropout, but is not easy to measure. In this chapter, the authors make a revision of the concept and an empirical approach to the possible reasons of student absenteeism through multivariate analyses—which the students themselves believe to be justified—and those offered by the faculty members in the case of the authors’ big school (with nine studies and 12,000 students), of the authors’ university (with 70,000 students), in the authors’ country. The analysis was carried out on two samples (1,161 students and 181 professors), which indicates that the reasons offered by each population are not the same. Through a cluster analysis, it is possible to identify six student performance profiles, which sheds some light on understanding this fact and the opportunity to suggest some ways of action.

scholarly journals Reactive school closure weakens the network of social interactions and reduces the spread of influenza

2019 ◽  
Vol 116 (27) ◽  
pp. 13174-13181 ◽  
Author(s):  
Maria Litvinova ◽  
Quan-Hui Liu ◽  
Evgeny S. Kulikov ◽  
Marco Ajelli
Keyword(s):  
Social Interactions ◽  
Influenza Season ◽  
School Closure ◽  
Transmission Model ◽  
Modeling Framework ◽  
School Closures ◽  
Student Absenteeism ◽  
Contact Survey ◽  
Closure Policy ◽  
The Impact

School-closure policies are considered one of the most promising nonpharmaceutical interventions for mitigating seasonal and pandemic influenza. However, their effectiveness is still debated, primarily due to the lack of empirical evidence about the behavior of the population during the implementation of the policy. Over the course of the 2015 to 2016 influenza season in Russia, we performed a diary-based contact survey to estimate the patterns of social interactions before and during the implementation of reactive school-closure strategies. We develop an innovative hybrid survey-modeling framework to estimate the time-varying network of human social interactions. By integrating this network with an infection transmission model, we reduce the uncertainty surrounding the impact of school-closure policies in mitigating the spread of influenza. When the school-closure policy is in place, we measure a significant reduction in the number of contacts made by students (14.2 vs. 6.5 contacts per day) and workers (11.2 vs. 8.7 contacts per day). This reduction is not offset by the measured increase in the number of contacts between students and nonhousehold relatives. Model simulations suggest that gradual reactive school-closure policies based on monitoring student absenteeism rates are capable of mitigating influenza spread. We estimate that without the implemented reactive strategies the attack rate of the 2015 to 2016 influenza season would have been 33% larger. Our study sheds light on the social mixing patterns of the population during the implementation of reactive school closures and provides key instruments for future cost-effectiveness analyses of school-closure policies.

Developing systems to reduce student absenteeism: Experimental evidence from Argentina

2020 ◽  
Author(s):  
Alejandro Ganimian ◽  
Ines Cruzalegui
Keyword(s):  
Experimental Evidence ◽  
Student Absenteeism

Factors influencing student absenteeism in the university

2018 ◽  
Author(s):  
Siti Asmah Mohamed ◽  
Ahmad Zia Ul-Saufie ◽  
Nurhafizah Ahmad ◽  
Hasfazilah Ahmat ◽  
Mohd Fahmi Zahari
Keyword(s):  
Factors Influencing ◽  
Student Absenteeism ◽  
The University

Student absenteeism: whose responsibility?

2011 ◽  
Vol 48 (3) ◽  
pp. 227-237 ◽  
Author(s):  
Joyce Barlow ◽  
Stephanie Fleischer
Keyword(s):  
Student Absenteeism

Chronic Student Absenteeism

2016 ◽  
Vol 31 (3) ◽  
pp. 178-185 ◽  
Author(s):  
Kathleen Jacobsen ◽  
Linda Meeder ◽  
Vicki R. Voskuil
Keyword(s):  
Student Absenteeism
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