Measuring Quality: A Comparison of U.S. News Rankings and NSSE Benchmarks

College rankings and guidebooks have become big business. The prominent role played by rankings and guidebooks is problematic because the criteria used to evaluate institutions have little to do with the quality of education students receive. Designed as an alternative to college rankings, NSSE assesses student engagement in activities that contribute to learning and success during college. This study compared the NSSE scores for 14 AAU public research universities with their rankings by U.S. News and World Report.     

Design,implementation, and evaluation of a multi-disciplinary professional development program for research mentors

ABSTRACT

Undergraduate research experience has been shown to enhance student learning and improve persistence in science, technology, engineering, and mathematics (STEM). Researchers studying undergraduate research experiences have largely focused on student outcomes and have seldom investigated the outcomes of graduate and postdoctoral mentors. Here, we report a non-credit, year-long mentor professional development program designed for graduate students, postdoctoral scholars, and research staff in STEM. Mentors attended a series of six interactive and discussion-based workshops and mentored first-year undergraduate students in independent summer research projects. We report evaluation findings for three mentor cohorts using a combination of qualitative analysis of mentoring philosophies and quantitative assessment of pre- and post-surveys about mentoring objectives and skills. Results indicate that mentors gained self-efficacy in some objectives and skills. However, many other objectives and skills remained unchanged. We explore possible explanations for the lack of more broad-scale gains across survey items and present ideas for program improvement.     

Infant Pathways to Externalizing Behavior: Evidence of Genotype × Environment Interaction

To further the understanding of the effects of early experiences, 9-month-old infants were observed during a frustration task. The analytical sample was composed of 348 linked triads of participants (adoptive parents, adopted child, and birth parent[s]) from a prospective adoption study. It was hypothesized that genetic risk for externalizing problems and affect dysregulation in the adoptive parents would independently and interactively predict a known precursor to externalizing problems: heightened infant attention to frustrating events. Results supported the moderation hypotheses involving adoptive mother affect dysregulation: Infants at genetic risk showed heightened attention to frustrating events only when the adoptive mother had higher levels of anxious and depressive symptoms. The Genotype × Environment interaction pattern held when substance use during pregnancy was considered.     

Chemistry at the Nanoscale

Traditionally the kinetics of a chemical reaction has been studied as a set of coupled ordinary differential equations. The law of mass action, a tried and tested principle for reactions involving macroscopic quantities of reactants, gives rise to deterministic equations in which the variables are species concentrations. In recent years, though, as smaller and smaller systems – such as an individual biological cell, say – can be studied quantitatively, the importance of molecular discreteness in chemical reactions has increasingly been realized. This is particularly true when the system is far from the ‘thermodynamic limit’ when the numbers of all reacting molecular species involved are several orders of magnitude smaller than Avogadro’s number. In such situations, each reaction has to be treated as a probabilistic ‘event’ that occurs by chance when the appropriate reactants collide. Explicitly accounting for such processes has led to the development of sophisticated statistical methods for simulation of chemical reactions, particularly those occurring at the cellular and sub-cellular level. In this article, we describe this approach, the so-called stochastic simulation algorithm, and discuss applications to study the dynamics of model regulatory networks.     

Measuring the Impact of Professional Accreditation on Student Experiences and Learning Outcomes

This research uses a conceptual model to examine the influence of a change in accreditation standards on a representative national sample of 203 engineering programs at 40 institutions. Based on data collected from more than 140 program chairs, 1,200 faculty, 4,300 graduates of 2004, and 5,400 graduates of 1994, the study investigates the differential impact of the change in accreditation standards on programs reviewed in different years during the period of transition. Despite significant variation across most of the measures and groups in 1994 (before the introduction of the new accreditation criteria), the 2004 evidence demonstrates a surprisingly uniform level of student experiences and outcomes. These findings suggest that engineering accreditation is beginning to accomplish its quality assurance goals. This is a revised version of a research paper presented at the meeting of the Association for Institutional Research, May 17, 2006, Chicago, IL.