7,744 research outputs found

    Impact of Online Education on Student Success Outcomes and Institutional Effectiveness: Study of Florida State University System

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    Online education has been around for several decades, but only recently has there been a boom in it integration into the public higher education sector on a larger scale. It proved instrumental to student education continuity and progression toward graduation during the COVID-19 health crisis and campus closures. Technological advances produce higher quality online courses that keep students engaged and allow for greater flexibility and accessibility, evident by its dramatic enrollment increase that outpaced the total enrollment at postsecondary institutions. Nine public universities in the State University System of Florida are analyzed to determine if greater enrollment in undergraduate online courses improves students\u27 success outcomes and institutional effectiveness. A standard measure of these outcomes is graduation, retention, and time-to-degree rates. They are frequently used by policymakers, academic leaders, and students to evaluate institutional performance and effectiveness at meeting students\u27 academic needs. Florida also ties its higher education funding model to these outcome measures to allocate funds integral to the institutional operation. A one-way ANOVA and panel data analysis is performed to evaluate the relationship between student enrollment in online courses and its impact on graduation, retention, and time to degree rates. The results show evidence that larger enrollment in at least some online courses positively affects graduation and retention while reducing the time to degree. These findings support that online education has more to offer than flexibility and accessibility and can improve student success outcomes and institutional effectiveness

    Design and implementation of a pilot orientation program for new NASA engineering employees

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    This paper describes the design and field testing of an orientation program for new employees of NASA Lewis Research Center's Engineering Directorate. A group of new employees designed the program using a series of TQM analysis techniques. The program objectives were: provide consistent treatment for new employees; assist management and clerical staff with their responsibility for orientation; introduce the employee to as many facets of the organization as possible; allow the employee to feel like a member of the organization as early as possible; maximize the use of existing services; and use up-to-date information. The major aspects of the program included: training of management and clerical staff; lab tours and briefings describing the organization; shepherding, using senior employees as shepherds; a handbook of information about the center and the directorate; a package of information about northeast Ohio; and social activities involving the new employees and shepherds. The program was tested on a pilot group of six new employees over a four month period and was considered to be highly successful by both the employees and management. Aspects of the program have subsequently been adopted for center-wide use

    DETERMINANTS OF BORROWER DROPOUT IN MICROFINANCE: AN EMPIRICAL INVESTIGATION IN MALI

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    Repeat borrowing is critical for the long-term financial viability of microfinance institutions (MFIs), which provide financial services to low-income households in developing countries. Repeat borrowers reduce MFI administrative costs, lower risks, and increase institutional productivity. In this paper we study the determinants of borrower dropout of an MFI operating in an urban center in Mali. Specifically, we quantify the explicit and implicit costs that a borrower must incur in obtaining loans from an MFI.Financial Economics,

    The functional characterisation of the C-type lectin : Clecsf8

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    Includes bibliographical references (leaves 147-157).Clecsf8 is a poorly characterised member of the "Dectin-2 cluster" and was originally thought to be expressed exclusively by macrophages. In this study it was demonstrated that Clecsf8 is primarily expressed by peripheral blood neutrophils and monocytes

    Multi-Behavioral Endpoint Testing Of An 87-Chemical Compound Library In Freshwater Planarians

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    There is an increased recognition in the field of toxicology of the value of medium-to-high-throughput screening methods using in vitro and alternative animal models. We have previously introduced the asexual freshwater planarian Dugesia japonica as a new alternative animal model and proposed that it is particularly well-suited for the study of developmental neurotoxicology. In this paper, we discuss how we have expanded and automated our screening methodology to allow for fast screening of multiple behavioral endpoints, developmental toxicity, and mortality. Using an 87-compound library provided by the National Toxicology Program (NTP), consisting of known and suspected neurotoxicants, including drugs, flame retardants, industrial chemicals, polycyclic aromatic hydrocarbons (PAHs), pesticides and presumptive negative controls, we further evaluate the benefits and limitations of the system for medium-throughput screening, focusing on the technical aspects of the system. We show that, in the context of this library, planarians are the most sensitive to pesticides with 16/16 compounds causing toxicity and the least sensitive to PAHs, with only 5/17 causing toxicity. Furthermore, while none of the presumptive negative controls were bioactive in adult planarians, 2/5, acetaminophen and acetylsalicylic acid, were bioactive in regenerating worms. Notably, these compounds were previously reported as developmentally toxic in mammalian studies. Through parallel screening of adults and developing animals, planarians are thus a useful model to detect such developmental-specific effects, which was observed for 13 chemicals in this library. We use the data and experience gained from this screen to propose guidelines for best practices when using planarians for toxicology screens

    Searching for the scale of homogeneity

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    We introduce a statistical quantity, known as the KK function, related to the integral of the two--point correlation function. It gives us straightforward information about the scale where clustering dominates and the scale at which homogeneity is reached. We evaluate the correlation dimension, D2D_2, as the local slope of the log--log plot of the KK function. We apply this statistic to several stochastic point fields, to three numerical simulations describing the distribution of clusters and finally to real galaxy redshift surveys. Four different galaxy catalogues have been analysed using this technique: the Center for Astrophysics I, the Perseus--Pisces redshift surveys (these two lying in our local neighbourhood), the Stromlo--APM and the 1.2 Jy {\it IRAS} redshift surveys (these two encompassing a larger volume). In all cases, this cumulant quantity shows the fingerprint of the transition to homogeneity. The reliability of the estimates is clearly demonstrated by the results from controllable point sets, such as the segment Cox processes. In the cluster distribution models, as well as in the real galaxy catalogues, we never see long plateaus when plotting D2D_2 as a function of the scale, leaving no hope for unbounded fractal distributions.Comment: 9 pages, 11 figures, MNRAS, in press; minor revision and added reference
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