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School Snow Days, Absenteeism, and Student Achievement: A Comparative Study of Nova Scotia and Massachusetts
Abstract
Recent research on the effects of school cancellations because of snow or storms confirms what school authorities in Canada and the United States have understood for some time: missed school days have a detrimental effect upon student learning. Disrupted instructional time and student learning have been analyzed in Massachusetts and in policy studies conducted in the Canadian province of Nova Scotia. One 2012 study in Massachusetts showed a strong relationship between student absences and achievement, but little or no impact attributable to inclement-weather school closures. Yet on balance, most research studies link school-day cancellations with declining student test scores. This research note assesses the impact of storm closings in Nova Scotia between the school years 2008-2009 and 2017-2018. There, the number of snow days is normally double that of Massachusetts and reported rates of student absenteeism are higher. This study assesses the ‘accumulative effect’ of missing whole school days, planned and unplanned, on student mathematics scores and high-school completion, and it proposes a some policy responses. Some consideration is given also to the profound impact of COVID-19 school disruptions and remote learning experiments on the changing policy landscapes in both Nova Scotia and Massachusetts.
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An education policy research paper addressing the high incidence of school day cancellations in Nova Scotia and the Maritimes and its impact upon student absenteeism and productivity in the workplace. Researched and written by Paul W. Bennett and published by the Atlantic Institute for Market Studies (AIMS). The report concludes with a set of policy reform recommendations.
This analysis synthesizes existing research to discuss how teachers’ practice and student learning are affected by perceptions of collective efficacy. Social cognitive theory is employed to explain that the choices teachers make—the ways in which they exercise personal agency—are strongly influenced by collective efficacy beliefs. Although empirically related, teacher and collective efficacy perceptions are theoretically distinct constructs, each having unique effects on educational decisions and student achievement. Our purpose is to advance awareness about perceived collective efficacy and develop a conceptual model to explain the formation and influence of perceived collective efficacy in schools. We also examine the relevance of efficacy beliefs to teachers’ professional work and outline future research possibilities.
Student absences are a potentially important, yet understudied, input in the educational process. Using longitudinal data from a nationally representative survey and rich administrative records from North Carolina, we investigate the relationship between student absences and academic performance. Generally, student absences are associated with modest but statistically significant decreases in academic achievement. The harmful effects of absences are approximately linear, and are two to three times larger among fourth and fifth graders in North Carolina than among kindergarten and first-grade students in the nationally representative Early Childhood Longitudinal Study. In both datasets, absences similarly reduce achievement in urban, rural, and suburban schools. In North Carolina, the harm associated with student absences is greater among both low-income students and English language learners, particularly for reading achievement. Also, in North Carolina, unexcused absences are twice as harmful as excused absences. Policy implications and directions for future research are discussed.
This unique and ground-breaking book is the result of 15 years research and synthesises over 800 meta-analyses on the influences on achievement in school-aged students. It builds a story about the power of teachers, feedback, and a model of learning and understanding. The research involves many millions of students and represents the largest ever evidence based research into what actually works in schools to improve learning. Areas covered include the influence of the student, home, school, curricula, teacher, and teaching strategies. A model of teaching and learning is developed based on the notion of visible teaching and visible learning. A major message is that what works best for students is similar to what works best for teachers - an attention to setting challenging learning intentions, being clear about what success means, and an attention to learning strategies for developing conceptual understanding about what teachers and students know and understand. Although the current evidence based fad has turned into a debate about test scores, this book is about using evidence to build and defend a model of teaching and learning. A major contribution is a fascinating benchmark/dashboard for comparing many innovations in teaching and schools.
In the economics of education, no task has been more important or more difficult than identifying the relationship between school inputs and student performance. The literature on this topic has reached little resolution, largely owing to the endogeneity of school resources. In this paper I examine the effect of a vital but little studied component of the education production function: instructional time. To identify the impact of schooling on test scores I make use of the fact that variation in winter weather made non-trivial differences in the number of school days students received prior to taking the Maryland School Performance Assessment Program (MSPAP) exams. I find evidence that students who took exams in years with heavy snowfall performed significantly worse than their peers in the same school who took MSPAP exams in other years. I also find that performance in a subject with relatively inflexible curricula (mathematics) and students in earlier grades were most affected by snow. Both of these findings are consistent with the interpretation that education inputs in the form of instructional days improve students’ test scores.
The literature on school absences has focused predominantly on the reasons for student truancy, or it has assessed only aggregate student absences in their effect on achievement. However, this study brings forth a new issue: the relationship between types of absences-excused versus unexcused- and school performance. With a quantitative model of educational achievement on a longitudinal multilevel data set of all second- through fourth-grade students in the Philadelphia School District from 1994 to 2000, this study disaggregated absence information to provide new insight on the attendance-achievement relationship. Specifically, a model using fixed effects with classroom-level clustering was employed to determine how the distinction among varying proportions of excused versus unexcused absences related to students' standardized test performance in reading and math. This article demonstrates that distinguishing between students with high rates of excused or unexcused absences is significant. Having a higher proportion of excused absences to total absences exhibits a positive relationship between reading and math test scores. Conversely, students with a higher proportion of unexcused absences places them at academic risk, particularly in math achievement and as early as in elementary school. Implications for policy are discussed.
Classroom education has public good aspects. The technology is such that when one student disrupts the class, learning is reduced for all other students. A disruption model of educational production is presented. It is shown that optimal class size is larger for better-behaved students, which helps explain why it is difficult to find class size effects in the data. Additionally, the role of discipline is analyzed and applied to differences in performance of Catholic and public schools. An empirical framework is discussed where the importance of sorting students, teacher quality, and other factors can be assessed. © 2001 the President and Fellows of Harvard College and the Massachusetts Institute of Technology
Absenteeism from school is a serious public health issue for mental health professionals, physicians, and educators. The prevalence of unexcused absences from school exceeds that of major childhood behavior disorders and is a key risk factor for violence, injury, substance use, psychiatric disorders, and economic deprivation. This article involves a contemporary research review on absenteeism prevalence, comorbid physical and psychiatric conditions, classification, contextual risk factors, cross-cultural variables, assessment, intervention, and outcome. Contextual risk factors include homelessness and poverty, teenage pregnancy, school violence and victimization, school climate and connectedness, parental involvement, and family variables, among others. A description of intervention includes medical, clinical, and systemic interventions. Medical professionals, community- and school-based mental health professionals, and educators are encouraged to fully understand the parameters of school absenteeism to develop better, consensual policies regarding definition, classification, assessment, and intervention of youths with problematic school absenteeism.
Do students perform better on statewide assessments in years in which they have more school days to prepare? We explore this question using data on math and reading assessments taken by students in the 3rd, 5th and 8th grades since 1994 in Maryland. Our identification strategy is rooted in the fact that tests are administered on the same day(s) statewide in late winter or early spring, and any unscheduled closings due to snow reduce instruction time, and are not made up until after the exams are over. We estimate that in academic years with an average number of unscheduled closures (5), the number of 3rd graders performing satisfactorily on state reading and math assessments within a school is nearly 3 percent lower than in years with no school closings. The impacts of closure are smaller for students in 5th and 8th grade. Combining our estimates with actual patterns of unscheduled closings in the last 3 years, we find that more than half of schools failing to make adequate yearly progress (AYP) in 3rd grade math or reading, required under No Child Left Behind, would have met AYP if schools had been open on all scheduled days.
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