Time to Work or Time to Play: The Effect of Student Employment on Homework, Sleep, and Screen Time

We use detailed time-diary information on high school students’ daily activities from the 2003–2008 American Time Use Surveys (ATUS) to investigate the effects of employment on the time a student spends on homework and other major activities. Time-diary data are more detailed and accurate than data derived from responses to “usual activity” survey questions underlying other analyses and capture the immediate effects of working that may well accumulate over time to affect future outcomes. Our results suggest that employment decreases the time that high school students spend on homework, which is human-capital building, on all days, but also decreases screen time on non-school days, which may be considered unproductive time. Employed teens get more than the recommended amount of sleep on school days, and only slightly less on non-school days.teenagers, employment, high school, time allocation

Parental Transfers, Student Achievement, and the Labor Supply of College Students

College students may participate in market work to finance their college educations. Using data from the NLSY97, three hypotheses are tested. First, smaller parental transfers lead to more hours worked while in school. Second, an increase in the net price of schooling leads to an increase in hours worked. Finally, an increase in hours worked leads to a decrease in a student's GPA. The results indicate that the number of hours a student works per week is unaffected by the schooling-related financial variables and that the number of hours worked per week does not affect a student's GPA.schooling, educational finance, grades, college students

Time to Work or Time to Play: The Effect of Student Employment on Homework, Housework, Screen Time, and Sleep

Recent research suggests that working while in high school reduces the amount of time students spend doing homework. However, an additional hour of work leads to a reduction in homework by much less than one hour, suggesting a reduction in other activities. This paper uses data from the 2003-2007 American Time Use Surveys (ATUS) to investigate the effects of market work on the time students spend on homework, sleeping, household work, and screen time. Results show that an increase in paid work reduces time spent in all of these activities by 84%, with the largest effect found for screen time.teenagers, time allocation, homework, screen time, sleep

Parental Transfers, Student Achievement, and the Labor Supply of College Students

Using nationally representative data from the NLSY97 and a simultaneous equations model, this paper analyzes the financial motivations for and the effects of employment on U.S. college students’ academic performance. The data confirm the predictions of the theoretical model that lower parental transfers and greater costs of attending college increase the number of hours students work while in school, although students are not very responsive to these financial motivations. They also provide some evidence that greater hours of work lead to lower grade point averages (GPAs).employment, transfers, GPA

Parental Transfers, Student Achievement, and the Labor Supply of College Students

Using nationally representative data from the NLSY97 and a simultaneous equations model, this paper analyzes the financial motivations for and the effects of employment on U.S. college students’ academic performance. The data confirm the predictions of the theoretical model that lower parental transfers and greater costs of attending college increase the number of hours students work while in school, although students are not very responsive to these financial motivations. They also show that increased hours of work lead to lower grade point averages (GPAs), at least for students attending four-year colleges.employment, transfers, GPA

Parental Transfers, Student Achievement, and the Labor Supply of College Students

Using nationally representative data from the NLSY97, financial motivations for and the effects of employment on U.S. college students’ academic performance are examined. While it is expected that fewer financial resources and a higher cost of college cause greater student employment, the data indicate that the number of hours a student works per week is unaffected by either the level of parental transfers or the cost of schooling. Contrary to existing evidence that a greater number of hours worked leads to poorer academic performance, the number of hours worked per week does not negatively affect a student’s GPA and may actually improve it.schooling, educational finance, grades, college students

The Undergraduate CubeSat Experience at the University of Minnesota

Building a satellite is a large undertaking with a lot of moving parts. Undergraduate students have complicated schedules with even more moving parts. Running a team of 60+ undergraduates toward the goal of launching a satellite is therefore quite the managerial challenge. Detailed on this poster are some specific challenges, along with strategies for mitigating them, that the UMN Small Satellite Research Lab faces in their work toward launching two small satellites

Gigamapping as a toolkit for city analysis: a design-led research

This article introduces Gigamapping as a toolkit to help architects undertake analysis and design. Due to globalization, many architectural design companies have expanded into the international market. Gigamapping is a beneficial tool for analysis and design, since it can help designers to display the relationships that affect designs in-context, thereby helping architects to analyse problems and settings. At the same time, it can be used for the integration of all parts of a project through the coherent connection of conceptual ideas and responses to the context. Additionally, it constitutes a powerful tool for supporting teamwork. MA AD is the design research Masters of the Welsh School of Architecture (WSA) of Cardiff University, and Analysis of Precedents is one of the core modules of it. The authors will use training from the Analysis of Precedent module and design-led research in MA AD to illustrate the role of Gigamapping for analysis and design