Lavy, S and Nixon, J L (2017) Applications, enrolment, attendance, and student performance in rebuilt school facilities: A case study. International Journal of Construction Education and Research, 13(2), pp. 125-41. ISSN 1557-8771
Abstract
Public school construction represents a significant portion of all construction spending in the United States; yet, the average age of United States' public schools is 42 years old. This article focuses on magnet schools in a large urban school district in the United States. The study examines whether construction, building age, and building condition have an impact on magnet applications, enrollment, attendance, and student achievement measures. Twenty-eight magnet elementary schools in the school district were chosen for analysis. The experimental group (n=14) included all magnet elementary schools (kindergarten to 5 th grade [K-5]) rebuilt under three school bond programs. The control group (n=14) included randomly selected elementary schools (K-5) from the 32 remaining elementary schools in the district that were not rebuilt. Multiple regressions were conducted using building and student data gathered during the 2011-2012 school year. Results indicate that building composite score and building age had no observable predictive effects on magnet applications, student enrollment, or student attendance, in both groups. However, student achievement was positively affected by building composite score as measured by the ability to predict state percentile ranking. This study supports that building and maintaining high quality educational facilities has the potential to raise student achievement levels.; Public school construction represents a significant portion of all construction spending in the United States; yet, the average age of United States' public schools is 42 years old. This article focuses on magnet schools in a large urban school district in the United States. The study examines whether construction, building age, and building condition have an impact on magnet applications, enrollment, attendance, and student achievement measures. Twenty-eight magnet elementary schools in the school district were chosen for analysis. The experimental group (n=14) included all magnet elementary schools (kindergarten to 5th grade [K-5]) rebuilt under three school bond programs. The control group (n=14) included randomly selected elementary schools (K-5) from the 32 remaining elementary schools in the district that were not rebuilt. Multiple regressions were conducted using building and student data gathered during the 2011-2012 school year. Results indicate that building composite score and building age had no observable predictive effects on magnet applications, student enrollment, or student attendance, in both groups. However, student achievement was positively affected by building composite score as measured by the ability to predict state percentile ranking. This study supports that building and maintaining high quality educational facilities has the potential to raise student achievement levels.;
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building age; education; schools; building conditions; student performance; students; school districts; enrollments; construction spending; age; elementary schools |
| Index terms: | multiple-regression, elementary school, school district, student performance, building age, enrolment, building condition, public school, construction spending, educational facility, case study, United States, composite, program |
| Subjects: | economic analysis, educational institutions, data collection methods, recruitment and enrolment, asset management, educational management, software systems, construction type, student development, statistical analysis, Geography, materials science |
| Topics: | Education, Business Strategy, Construction Technology, Research Practice, Construction Materials, Geographical Context, Digital Applications |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here