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Danville, VA, United States

Averett University is a private non-profit college in Danville, Virginia, USA, in south-central Virginia near the North Carolina border. Founded in 1859 as a women's college, Averett became a 4-year, coeducational institution in 1969. In 2011 the university restored its Baptist affiliation, renewing a relationship that had existed from Averett's founding until 2005. Wikipedia.

McMurtry K.,Averett University
TechTrends | Year: 2014

The Instructional Design Knowledge Base: Theory, Research, and Practice by Rita C. Richey, James D. Klein, and Monica W. Tracey describes the instructional design knowledge base and further provides a taxonomy to frame the elements and related theories, thus approaching ID from both a practical and scholarly perspective. Geared toward the graduate student or scholar and not for the novice in its extensive explanations and source citations, the text should be required reading for all students of instructional design. Concepts are explained clearly and succinctly with well-organized chapters that provide headings and subheadings with introductions and transitional cues. The historical development and current research of each theory and model is well documented, and the references list alone would serve as a helpful reference for the student of instructional design. Scholars of ID will also find thought-provoking the suggestions for future research at the end of each chapter. © 2014 Association for Educational Communications and Technology. Source

Samoilenko S.V.,Averett University | Osei-Bryson K.-M.,Virginia Commonwealth University
Information Technology for Development | Year: 2013

Previous investigations into macroeconomic impact of investments in information and communications technology (ICT), while primarily focused on developed economies, have yielded some important insights. For example, it was determined that: (1) the investments-to-revenues model works well only if a threshold level of ICT capital infrastructure has been developed, (2) it is not the quantity but the quality of the full-time ICT workforce that plays an important role in converting a stream of investments in ICT into revenues and in achieving a spillover effect of investments that is captured by total factor productivity (TFP). In this study we investigate the impact of human development, as measured by the human development index (HDI), on macroeconomic outcomes and TFP. The subject of the study is a group of transition economies, a set of highly related economies that has the Leaders group that has some of the characteristics of developed economies and the Followers group that has some of the characteristics of less-developed economies. Results of our investigation offer evidence that HDI has a statistically significant impact on GDP (gross domestic product) and TFP only in the case of the Leaders. © 2013 © 2013 Commonwealth Secretariat. Source

Bolton F.,Averett University
Journal of Homeland Security and Emergency Management | Year: 2013

Differences between the emergency management and cybersecurity professions create a barrier to effective communication based on technical jargon and specialized language. This article discusses the nature of professions and the need for common terms in order to improve the ability of organizations to respond to cyber emergencies. Recommendations are provided and include action by the Emergency Management Institute, professional organizations, and improvements in sharing information. Source

Butler R.J.,Duke University | Burton L.C.,Averett University | Plisky P.J.,University of Evansville | Goode A.,Duke University | Kiesel K.,University of Evansville
Work | Year: 2013

OBJECTIVE: To examine whether measures of physiologic function and fundamental movement are predictive of injury in firefighters during a training academy. PARTICIPANTS: 108 firefighter trainees enrolled in the training academy. METHODS: Baseline measures of physical performance and fundamental movement patterns were obtained in firefighters entering a training academy to determine predictors of injury. The physical performance measures were standardized tests of individual maximum performance on a set of four different total body tests and one firefighter specific performance test, the tower test. Measurements of fundamental movement patterns consisted of the seven tests of the Functional Movement Screen (FMS) along with the composite score.Performance on each of the individual tests was examinedto determine if any of the variables were predictive of injury. RESULTS: ROC curve analysis established that a FMS cut score of ≤ 14 was able to discriminate between those at a greater risk for injury. In addition, the deep squat and push up component of the FMS were statistically significant predictors of injury status along with the sit and reach test. CONCLUSIONS: Injury in firefighters during academy can be predicted by baseline measures of musculoskeletal movement and physiology. © 2013 - IOS Press and the authors. All rights reserved. Source

Samoilenko S.,Averett University | Osei-Bryson K.-M.,Virginia Commonwealth University
Journal of Global Information Technology Management | Year: 2015

The limited resources of transition economies accentuate the need for formulating effective and efficient policies for investments in information and communication technologies. However, the empirical evidence required for sound decision making is scarce, thus prompting a call for studies in the area of macroeconomic impact of investments in information and communication technologies. Using two-time series data sets, one for the period from 1993 to 2003 and another for the period from 2004 to 2010, the impact of investments in telecoms on total factor productivity in the context of transition economies was investigated. Specifically, the focus was on a group of seven transition economies that is comprised of the Visegrád Group of countries (e.g., Czech Republic, Hungary, Poland, and Slovakia) and the Baltic States (Estonia, Latvia, and Lithuania). Results suggest that all the members of the Visegrád Group of countries and the Baltic States group exhibited overall growth in productivity. Further, a comparison of the two periods shows that the most significant difference between those periods is that the dominant source of growth in productivity in the later transition period (2004-2010) was the efficient utilization of the existing technology, while in the former transition period the growth was driven by technological changes. © 2015 Sergey Samoilenko and Kweku-Muata Osei-Bryson. Source

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