Development of a Model High School Orientation Program

Educating children is, without a doubt, one of the largest tasks taking place today in the United States. Education is a big business and can be categorized as an investment to develop our human resources (Bodley and Shapiro, 1969). The National Center for Education Statistics (1990) reports that by the year 1993, $180 billion will be spent annually on elementary and secondary public education. Almost seven million professionals and support personnel are employed in public schools. Expenditures for public education constitute nearly four percent of the gross national product (Swanson and King, 1991)

From the Prison Track to the College Track: Pathways to Postsecondary Success for Out-of-School Youth

Many young people learn a discouraging set of lessons between the ages of 16 and 24. They come to see secondary school as irrelevant, available jobs as demeaning, and their prospects and choices as diminishing. Some continue to "drop in" to school long enough to get a diploma, but leave lacking the skills or interest to pursue further education. Others drop out of school altogether. Seen in this context, the ambitious promise implied in the federal law to "leave no child behind" will require moving expeditiously beyond the "one-size-fits-all," factory-model high school to a far richer diversity of learning environments. This paper focuses on four types of learning environments that appear to hold particular promise for vulnerable and potentially disconnected youth: reinvented high schools, secondary/postsecondary blends, education/employment blends, and extended learning opportunities beyond the school day, year, and building. The first section paints a statistical portrait of the substantial number of urban youth who could potentially benefit from these new programmatic options. The second section describes the authors' process for identifying and investigating emerging, powerful learning environments, then profiles four programs that show evidence of effectiveness. The report concludes with a discussion of the policy opportunities today for creating multiple avenues for young people to achieve to higher standards, along with four specific policy recommendations to meet this goal

Does It Pay To Attend An Elite Private College? Cross Cohort Evidence on the Effects of College Quality on Earnings

While there is evidence of a substantial and rising labor market premium associated with college attendance, little is known about how this premium varies across institutions of different quality and across time. Previous research which has estimated the return to college quality has not taken into account that individuals likely select the type of college they attend based in part on the expected economic return and net costs. In this paper we explicitly model high school students' choice of college type (characterized by quality and control) based on individual and family characteristics (including ability and parental economic status), and an estimate of the net costs of attendance and expected labor market return. We estimate selectivity corrected outcome equations, using data from both the National Longitudinal Study of the High School Class of 1972 and High School and Beyond, which permit us to determine the effects of college quality on wages and earnings and how this effect varies across time. Even after controlling for selection effects there is strong evidence of significant economic return to attending an elite private institution, and some evidence that this premium has increased over time.

Using Mathematical Modeling for the Prediction of Success in Developmental Math.

This exploratory study was primarily designed to determine the possibility of developing a discriminant model to predict success in developmental mathematics. The sample included 402 students enrolled in a developmental math class at Northwestern State University, a small public school in North Louisiana, in the fall semester of 1996. Demographic, achievement and attitudinal variables were used in the development of the model. High school GPA, social enrichment scores from the College Student Inventory, and black were factors identified as significant in the model. Although limited in its predictive ability, the model does provide faculty and advisors with additional information to use in the development of intervention strategies

Observational-Interventional Priors for Dose-Response Learning

Controlled interventions provide the most direct source of information for learning causal effects. In particular, a dose-response curve can be learned by varying the treatment level and observing the corresponding outcomes. However, interventions can be expensive and time-consuming. Observational data, where the treatment is not controlled by a known mechanism, is sometimes available. Under some strong assumptions, observational data allows for the estimation of dose-response curves. Estimating such curves nonparametrically is hard: sample sizes for controlled interventions may be small, while in the observational case a large number of measured confounders may need to be marginalized. In this paper, we introduce a hierarchical Gaussian process prior that constructs a distribution over the dose-response curve by learning from observational data, and reshapes the distribution with a nonparametric affine transform learned from controlled interventions. This function composition from different sources is shown to speed-up learning, which we demonstrate with a thorough sensitivity analysis and an application to modeling the effect of therapy on cognitive skills of premature infants

Forecasting Housing Prices under Different Submarket Assumptions

This research evaluated forecasting accuracy of hedonic price models based on a number of different submarket assumptions. Using home sale data for the City of Knoxville and vicinities merged with geographic information, we found that forecasting housing prices with submarkets defined using expert knowledge and by school district and combining information conveyed in different modeling strategies are more accurate and efficient than models that are spatially aggregated, or with submarkets defined by statistical clustering techniques. This finding provided useful implications for housing price prediction in an urban setting and surrounding areas in that forecasting models based on expert knowledge of market structure or public school quality and simple model combining techniques may outperform the models using more sophisticated statistical techniques.Clustering, Forecasting, Hedonic price, Housing Submarket, Demand and Price Analysis, C53, R21,

Why Students Drop Out of School: A Review of 25 Years of Research

Reviews research on the underlying causes of the high school dropout crisis -- individual and institutional characteristics that predict whether a student is likely to drop out of high school. Discusses student engagement, deviance, and other models

The US/Canada Difference in Postsecondary Educational Choice

This paper attempts to tackle the puzzle of why more Canadians choose community colleges over universities than their American counterparts, when previous research has suggested that the return to community college education is low in Canada. Using data from the Survey of Labour and Income Dynamics for Canada and the National Longitudinal Survey of Youth 79 for the US, I estimate returns to education with a trinomial selection correction using various instruments. I simulate the educational choices of Canadians who face American returns to education, and vice versa. I found that Canadians have a relatively strong incentive to choose community colleges if occupational choices are controlled for. The second finding is that Canadian universities and colleges specialize in different types of human capital. Also, my analysis confirms that the elasticity of educational attainment to tuition and fees is low. Finally, the self-selection processes in the two countries are different. More able Americans have higher educational attainment while more productive Canadians prefer going to universities but not community colleges.Returns to Education; Educational Choices; Post-secondary Education.

The State of Middle School and High School Science Labs in the Kansas City Region

Shares findings from an audit of 170 school science labs, and makes recommendations for improvement in the areas of safety, facilities, equipment and materials, instruction and learning, and district policies