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Institution

University of Wisconsin–Eau Claire

EducationEau Claire, Wisconsin, United States
About: University of Wisconsin–Eau Claire is a education organization based out in Eau Claire, Wisconsin, United States. It is known for research contribution in the topics: Poison control & Population. The organization has 1780 authors who have published 2690 publications receiving 93094 citations. The organization is also known as: UW-Eau Claire & University of Wisconsin-Eau Claire.


Papers
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Journal ArticleDOI
TL;DR: Participatory action research was used to link the humanities with a deeper level of teaching and learning in nursing education, and implications for nursing education leading to the generation of practical knowledge are discussed.
Abstract: Participatory action research was used to link the humanities with a deeper level of teaching and learning. Planning, action, reflection, and evaluation steps were collaboratively implemented by two nurse faculty researchers and five graduate nursing education students in a midsized, comprehensive, public midwestern university. Planning involved a literature review of the use of humanities in nursing education. Action entailed an essay assignment and an artwork-exhibition workshop. Written appraisal of the workshop provided data that were analyzed phenomenographically in the reflection step. Two categories, with descriptive subcategories, emerged: "Feelings" and "Learning Evaluation." Implications for nursing education leading to the generation of practical knowledge are discussed.

23 citations

Journal ArticleDOI
TL;DR: The shift-averaged version of TAWS produces denoisings that are comparable to state of the art denoising methods, such as cycle-spin thresholding and the cycle- spin version of the hidden Markov tree method.
Abstract: We describe new methods of denoising images that combine wavelet shrinkage with properties related to the statistics of quad-trees of wavelet transform values for natural images. They are called tree- adapted wavelet shrinkage (TAWS) methods. The shift-averaged ver- sion of TAWS produces denoisings that are comparable to state of the art denoising methods, such as cycle-spin thresholding and the cycle- spin version of the hidden Markov tree method. The nonshift averaged version of TAWS is superior to the classic wavelet shrinkage method, and fits naturally into a signal compression algorithm. These TAWS methods bear some relation to the recently proposed hidden Markov tree methods, but are deterministic rather than probabilistic. They may prove useful in settings where speed is critical and/or signal compression is required. © 2000 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(00)00111-2)

23 citations

Journal ArticleDOI
TL;DR: In this article, the authors identify the value undergraduate marketing students are placing on various aspects of a marketing internship and compare the relative importance that internship providers place on these same factors, finding that the internship providers rated workplace environment, intern supervision, and clear learning objectives to be significantly more important than did the student respondents.
Abstract: This study identifies the value undergraduate marketing students are placing on various aspects of a marketing internship and compares the relative importance that internship providers place on these same factors. Results were obtained by surveying 140 internship providers and 336 undergraduate marketing majors. Internship providers rated workplace environment, intern supervision, and clear learning objectives to be significantly more important than did the student respondents. Conversely, students rated skill development, increased career opportunities, and overall internship attractiveness significantly higher than the internship providers. Differences in search strategies across the student-employer dyad were also identified. Marketing educators can use this information to help place students in meaningful internships.

23 citations

Journal ArticleDOI
TL;DR: A definition of action research for providing guidelines for research proposals and criteria for assessing potential publications for nursing higher education is proposed and continued development of methods for synthesizing action research is recommended.
Abstract: Purpose. The purpose of this article is to describe action research in nursing education and to propose a definition of action research for providing guidelines for research proposals and criteria for assessing potential publications for nursing higher education. Methods. The first part of this project involved a search of the literature on action research in nursing higher education from 1994 to 2013. Searches were conducted in the CINAHL and MEDLINE databases. Applying the criteria identified, 80 publications were reviewed. The second part of the project involved a literature review of action research methodology from several disciplines to assist in assessing articles in this review. Results. This article summarizes the nursing higher education literature reviewed and provides processes and content related to four topic areas in nursing higher education. The descriptions assist researchers in learning more about the complexity of both the action research process and the varied outcomes. The literature review of action research in many disciplines along with the review of action research in higher education provided a framework for developing a nursing-education-centric definition of action research. Conclusions. Although guidelines for developing action research and criteria for publication are suggested, continued development of methods for synthesizing action research is recommended.

23 citations


Authors

Showing all 1821 results

NameH-indexPapersCitations
Donald G. Truhlar1651518157965
Xi Chen105154752533
Christopher J. Cramer9356550075
Rustem F. Ismagilov7724624741
Thomas R. Zentall5536411102
Douglas R. Powell5541113222
William E. Antholine532269476
Travis Thompson511787565
Gianluigi Veglia512117417
Corey L. M. Keyes5113425747
Feimeng Zhou491627410
Craig R. Carter4712314069
Charlie S. Bristow461256541
Eric S. Boyd461516188
Jennifer J. Muehlenkamp461108919
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202245
2021130
2020122
2019103
2018107