856 research outputs found

    Online Graduate Educational Technology Program: An Illuminative Evaluation

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    With continued growth in online courses and programs in higher education a pressing need exists to evaluate their perceived quality and effectiveness. Evaluation criteria – course evaluations, student surveys and retention data – from previous online program evaluations were used in this study. An illuminative evaluation using descriptive and scientific analysis was undertaken for a graduate degree program in educational technology. Course and program-level data were analyzed to compare quality for two programs – an existing hybrid and new online. Analysis of student enrollments, course evaluations, survey results, retention, and time to completion reveal similar experiences reported from students in both programs. Results suggest that a majority of students were satisfied with their graduate experience and view those experiences as worthwhile. This illuminative evaluation provides evidence that online graduate programs are comparable and can satisfy stakeholders’ expectations while maintaining high levels of quality

    Technology in the COE: Past, Present and Future

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    Frequency-dependent and correlational selection pressures have conflicting consequences for assortative mating in a color-polymorphic lizard, Uta stansburiana

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    Acknowledgments We would like to thank the numerous undergraduate researchers involved with this project for their invaluable assistance in lizard rearing and data collection. We also thank D. Haisten, A. Runemark, Y. Takahashi, and M. Verzijden for insightful comments on the manuscript. This project was funded by National Science Foundation DEBOS-15973 to A.G.M. and B.R.S.Peer reviewedPublisher PD

    An Examination of Value Line’s Long-term Projection

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    Unlike previous papers, which have focused on the timeliness ranks, we examine Value Line’s 3–5 year projections for stock returns, earnings, sales and related measures. We find that Value Line’s stock return and earnings forecasts exhibit large positive bias, although their sales predictions do not. For stock returns, Value Line’s projections lack predictive power; for other variables predictive power may exist to some degree. Our findings suggest the spectacular past performance of the timeliness indicator reflects either close alignment with other known anomalies or data mining, and that investors and researchers should use Value Line’s long-term projections with caution

    Blood Transfusion Errors within a Health System: A Review of Root Cause Analyses

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    IntroductionBlood transfusions are lifesaving treatments which require critical attention to processes and details. If processes are not followed, grievous errors can lead to sentinel events. A review of investigations completed due to reported events will show the error trends associated with systems used throughout the blood transfusion process. MethodsThis study employed root cause analyses (RCAs) within the Veterans Health Administration (VHA) to review the events leading to blood transfusion errors. Data was pulled from the RCA databases within the VA National Center for Patient Safety. The time frame was October 2014 to August 2019. A total of 53 RCAs and aggregated reviews were included in the study. These were reviewed for common themes and gaps present within processes. ResultsThe most common events fell within the categories of incorrect or delayed blood orders, incorrect or lack of patient identification, and wrong blood given. The RCA for each event was reviewed and studied. The RCAs had a crossover of multiple causes; lack of a formal process, communication barriers, and technology barriers were the most frequent. ConclusionThese RCAs express great variation between VHA facilities, such as process created, number of staff reports, and number of RCAs completed. Lack of standard practices nationwide, training barriers, and technology barriers may explain the variation of transfusion errors throughout the VHA. This study brings to light questions about standardization of transfusion protocols. Future study regarding such standardization is necessary to determine its plausibility

    Control via electron count of the competition between magnetism and superconductivity in cobalt and nickel doped NaFeAs

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    Using a combination of neutron, muon and synchrotron techniques we show how the magnetic state in NaFeAs can be tuned into superconductivity by replacing Fe by either Co or Ni. Electron count is the dominant factor, since Ni-doping has double the effect of Co-doping for the same doping level. We follow the structural, magnetic and superconducting properties as a function of doping to show how the superconducting state evolves, concluding that the addition of 0.1 electrons per Fe atom is sufficient to traverse the superconducting domain, and that magnetic order coexists with superconductivity at doping levels less than 0.025 electrons per Fe atom.Comment: 4 pages, 6 figure
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