This research examines the relative impact of a broad variety of variables on the graduation rates of 283 four-year colleges and universities in the Midwest. It compares the relative importance of campus life (such as sports, number of student organizations and Greek life) to financial...

Entrepreneurship is listed among the key competencies of the new generations. It is essential trait for the young people in the new, fast changing environment, no matter shell they link their careers with the small business or not. Consequently, the education systems can substantially contribute...

Education is a social development, and highly educated those can inspire a society. Several factors affect academic achievements of students in higher education. In present study show that several factors that are affected by students. Data were collected from 100 graduate and post graduate...

Nigeria`s Colleges of Education are presently losing interest in affiliation processes of Universities under which they award Bachelor and other degrees to their teaming students' population. This may not be unconnected with the excesses of these institutions in sharing proceeds from the fees...

Literature shows that retrieval of knowledge improves students' performance on exams (e.g., McDaniel et al. 2007; Roediger et al. 2011). In this study, we provide students in online and face-to-face Principles of Macroeconomics courses with practice questions that resemble the ones given on an...

This paper shows that polynomial sieve estimators can predict arbitrary continuous functions on closed and bounded subsets of the reals. These predictions can be arbitrarily close irrespective of whether the sieve is estimated on the full domain or a strict and non-dense subset of the domain....

Techniques used in practice often differ from tools developed in academia. The lack of communication that may exist between academia and practice can then have important consequences for many insurance companies or pension funds. This issue is illustrated with what is currently happening in...

We propose a computationally efficient method to construct nonparametric, heteroskedastic prediction bands for uncertainty quantification, with or without any user-specified predictive model. The data-adaptive prediction band is universally applicable with minimal distributional assumptions,...