scispace - formally typeset
Search or ask a question
Institution

University of Hartford

EducationWest Hartford, Connecticut, United States
About: University of Hartford is a education organization based out in West Hartford, Connecticut, United States. It is known for research contribution in the topics: Population & Context (language use). The organization has 1244 authors who have published 2481 publications receiving 48973 citations. The organization is also known as: UHart.


Papers
More filters
Journal ArticleDOI
TL;DR: A writing-for-publication workshop was developed that introduces sequential steps in the publishing process, including peer editing, that turn faculty and students into a community of scholarly caring.
Abstract: Although nurse educators bemoan the fact that many of their students cannot write, writing for publication is fast becoming an expectation of master's and doctorally prepared nurses. Since master's students must submit a publishable product to graduate from the authors' program, a writing-for-publication workshop was developed that introduces sequential steps in the publishing process, including peer editing. This article outlines the systematic way in which graduate students are introduced to writing for publication. Strategies are presented that turn faculty and students into a community of scholarly caring.

16 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the relationship between contextual variables related to teachers and student performance in Advanced Algebra classrooms in the USA and found that teachers who use the SimCalc curriculum value classroom communication, deep understanding of math concepts, and support for both routine and non-routine problems.
Abstract: In this study, we examine the relationship between contextual variables related to teachers and student performance in Advanced Algebra classrooms in the USA. The data were gathered from a cluster-randomized study on the effects of SimCalc MathWorlds®, a curricular and technological intervention as a replacement for Algebra 2 curriculum, on student learning of Algebra 2 content. Conditional measures (teacher background characteristics) and instructional measures (self-reported instructional preferences, stances, and classroom practices) were subjected to a variety of empirical analyses to discern their relationship to student learning. Researchers examined both the overall effect of teacher contextual variables on student learning and the specific effect of SimCalc on both teacher instructional measures and student performance. There is evidence to support that teachers who use the SimCalc curriculum value classroom communication, deep understanding of math concepts, and support for both routine and non-routine problems.

16 citations

Journal ArticleDOI
TL;DR: This article explored the relationship between the Personality Assessment Inventory (PAI) Borderline, Drug, and Alcohol Scales and performance as a police officer and found that the Borderline Negative Relations subscale combined with the Drug scale of the PAI were marginally predictive of the 132 poorest performing officers in the sample when an exploratory stepwise multiple regression model was used.
Abstract: Previous studies have established the utility of self-report personality inventories in the pre-employment screening of police officers. The present study therefore sought to explore the relationship between the Personality Assessment Inventory (PAI) Borderline, Drug, and Alcohol Scales and performance as a police officer. The PAI results of 632 police officers who took the test as part of pre-employment screening procedures were used in discriminant function and multiple regression analyses to determine whether or not these scales are useful in the pre-employment screening of police officers. These scales did not predict performance as a police officer when the entire sample of 632 was used. However, the Borderline Negative Relations subscale combined with the Drug scale of the PAI were marginally predictive of the 132 poorest performing officers in the sample when an exploratory stepwise multiple regression model was used. The implications of these findings for police selection are discussed.

16 citations

Journal ArticleDOI
TL;DR: In this paper, the authors conducted a meta-analysis of all controlled studies of the use of hypnosis for relieving clinical pain and found that the average participant receiving hypnosis reduced pain more than about 73% of control participants.
Abstract: This is the first comprehensive meta-analysis in approximately 20 years of all controlled studies of the use of hypnosis for relieving clinical pain To be included, studies were required to utilize a between-subjects or mixed model design in which a hypnosis intervention was compared with a control condition in alleviating any form of clinical pain Of 523 records screened, 42 studies incorporating 45 trials of hypnosis met the inclusion criteria Our most conservative estimates of the impact of hypnosis on pain yielded mean weighted effect sizes of 060 (p ≤ 001) for 40 post trials and 061 (p ≤ 001) for 9 follow-up trials These effect sizes fall in the medium range according to Cohen's guideline and suggest the average participant receiving hypnosis reduced pain more than about 73% of control participants Hypnosis was moderated by the overall methodological quality of trials-the mean weighted effect size of the 19 post trials without high risk ratings on any of the Cochrane Risk of Bias dimensions was 077 (p ≤ 001) Hypnosis was also moderated by hypnotic suggestibility, with 6 post trials producing a mean weighted effect size of r = 053 (p ≤ 001) Our findings strengthen the assertion that hypnosis is a very efficacious intervention for alleviating clinical pain

16 citations

Book ChapterDOI
01 Jan 2016
TL;DR: Novel approaches to help with the design and testing of intelligent autonomous care providers, including methods for developing ethical principles and decision-making processes for autonomous artificial agents, are presented.
Abstract: This chapter discusses ethics involved with the use of artificial intelligent technologies in behavioral and mental health care. A foundational overview of medical ethics and current ethical codes and guidelines that pertain to the use of technology is provided. Emerging ethical issues are then discussed along with specific recommendations to address these issues. Novel approaches to help with the design and testing of intelligent autonomous care providers, including methods for developing ethical principles and decision-making processes for autonomous artificial agents, are presented.

16 citations


Authors

Showing all 1284 results

NameH-indexPapersCitations
Michael W. Anderson10180863603
Cheryl A. Frye7429118043
Stephen W. Porges7225727162
Marjorie H. Woollacott6815722576
Yu Lei6129315297
William B. Gudykunst5110213511
Linda S. Pescatello4925721971
Cynthia S. Pomerleau451146928
Benjamin Thompson431975311
Eric B. Elbogen401637212
Devon S. Johnson39638383
Richard F. Kaplan38684357
X. Rong Li3827812000
Lily Elefteriadou351794342
Jinwon Park352194092
Network Information
Related Institutions (5)
Ohio University
25.9K papers, 662.2K citations

83% related

Binghamton University
20.9K papers, 679.5K citations

83% related

San Diego State University
27.9K papers, 1.1M citations

83% related

University of Wisconsin–Milwaukee
28K papers, 936.4K citations

82% related

University of South Carolina
59.9K papers, 2.2M citations

82% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202255
2021113
2020126
2019115
2018114