The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Elisabeth N Shelton - One of the best experts on this subject based on the ideXlab platform.
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a model of nursing Student Retention
International Journal of Nursing Education Scholarship, 2012Co-Authors: Elisabeth N SheltonAbstract:A model of nursing Student Retention was studied in nontraditional, associate degree nursing Students. Student Retention was defined as persistence, or choosing to continue in a nursing program, and successful academic performance, or meeting the necessary academic standards to continue in a nursing program. The model shows the interaction of background variables, internal psychological processes, and external supports, and their relationships to persistence and academic performance. Participants were 458 nontraditional associate degree nursing Students. There were significant differences in background variables between Students who persisted and those who withdrew voluntarily or failed academically. Perceived faculty support was related to both persistence and academic performance, such that Students with higher perceived faculty support were more likely to continue in a nursing program until graduation and were more likely to be successful academically. Students with higher perceived faculty support also had higher outcome expectations of earning an associate degree in nursing.
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faculty support and Student Retention
Journal of Nursing Education, 2003Co-Authors: Elisabeth N SheltonAbstract:A study was conducted to explore the relationship between nursing Students' perceived faculty support and nursing Student Retention. The 458 associate degree nursing Students who participated were categorized according to their persistence-those who had persisted continuously throughout a nursing program, those who had withdrawn voluntarily at some time during a program, and those who had been required to withdraw because of academic failure. Perceived faculty support was measured by scores on the Perceived Faculty Support Scale, an instrument developed by the researcher for this study. A factor analysis of the instrument revealed two factors-psychological support, directed at promoting a sense of competency and self-worth, and functional support, directed at the achievement of tasks to reach the goals of persistence and academic success. Analysis of variance revealed persistence group differences in perceived faculty support. Students who reported greater perceived faculty support were more likely to persist throughout a nursing program than Students who withdrew either voluntarily or because of academic failure. To promote Retention of nursing Students, faculty need to provide the caring atmosphere of a mentoring relationship and direct assistance to facilitate Student learning.
Marianne R Jeffreys - One of the best experts on this subject based on the ideXlab platform.
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Student Retention and success optimizing outcomes through holistic competence and proactive inclusive enrichment
Teaching and Learning in Nursing, 2014Co-Authors: Marianne R JeffreysAbstract:Abstract Nursing Student Retention and success is a complex, multidimensional process that demands prioritized attention and requires a shifted focus from remediation to enrichment and optimization. Through the HOLISTIC COMPETENCE acronym description, educators will discover essential elements for proactive inclusive enrichment and reasons for avoiding exclusive remediation. Guided by Jeffreys' Nursing Undergraduate Retention and Success model, this article provides a beginning repertoire of ideas to enrich the nursing Student experience and optimize outcomes.
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tracking Students through program entry progression graduation and licensure assessing undergraduate nursing Student Retention and success
Nurse Education Today, 2007Co-Authors: Marianne R JeffreysAbstract:Summary In the escalating nursing shortage, nursing Student Retention and success (graduation and licensure) is a priority. The entry, progression, graduation, and licensure characteristics of culturally diverse associate degree nursing Students ( n =112) were assessed to gain insight into nursing Student progress and success. In this retrospective study, data collection included Student profile characteristics, academic outcomes, type of Retention or attrition, program completion length, and licensure. The Retention trajectory was distributed between ideal (26%), continuous (24%), and interim/stopout (25%). Attrition consisted of first semester failure (9%), voluntary (14%), and involuntary (2%). Descriptive and inferential analyses suggested several variables that influenced first time pass rate on the nurse licensing exam: course grades in three nursing courses, number of nursing withdrawals or failures (W/F), and nursing course grade average (NCGA). Implications for nurse educators are discussed.
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nursing Student Retention understanding the process and making a difference
2004Co-Authors: Marianne R JeffreysAbstract:This is the only book to offer an evidence-based model for retaining Students and ensuring success across the nursing education spectrum. It is designed to assist faculty in creating, implementing, and evaluating Student Retention and academic success strategies. This model, Nursing Undergraduate Retention and Success (NURS), can be used effectively with all kinds of nursing programs, both traditional and nontraditional, including diploma, ADN, RN-BS, and accelerated BS. The book features the "Nursing Student Retention Toolkit," an easy-to-use digital toolkit for assessment and planning that is thoroughly cross-referenced and integrated into the text. Together, these complementary resources offer a wide selection of educational activities and support strategies for diverse learners and settings. The text provides guidelines for maximizing educational strengths, identifying and assessing at-risk Students, facilitating Student Retention, and revitalizing teaching methods. It examines the multidimensional factors that must be considered, including cultural values and beliefs, and describes proven strategies for promoting Retention and academic success such as faculty advisement, promoting professional events and membership, peer partnerships, and enrichment programs. "Nursing Student Retention," with its breadth of information and one-of-a-kind digital toolkit, will be of great value to nurse educators, administrators, and graduate Students. This new edition features: An easy-to-use format that includes the "Nursing Student Retention Toolkit, "a digital adjunct containing assessment tools, and templates for designing, implementing, and evaluating Retention strategies Chapters updated to provide a wealth of new information and evidence-based strategies Real-life scenarios featuring diverse learners and settings Vignettes to synthesize and demonstrate application of learning
Lawrence E. Whitman - One of the best experts on this subject based on the ideXlab platform.
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predicting engineering Student attrition risk using a probabilistic neural network and comparing results with a backpropagation neural network and logistic regression
Research in Higher Education, 2018Co-Authors: Cindi R Mason, David W. Wright, Janet Twomey, Lawrence E. WhitmanAbstract:As the need for engineers continues to increase, a growing focus has been placed on recruiting Students into the field of engineering and retaining the Students who select engineering as their field of study. As a result of this concentration on Student Retention, numerous studies have been conducted to identify, understand, and confirm relationships between Student attributes and attrition. Methods of prediction have also been evaluated and compared. Utilizing the attributes found in previous studies to have correlation with Student attrition, this study considers the results of three different prediction methods—logistic regression, a multi-layer perceptron artificial neural network, and a probabilistic neural network (PNN)—to predict engineering Student Retention at a case study university. The purpose of this study was to introduce the PNN to the study of engineering Student Retention prediction and compare the results of the PNN to other commonly used methods in this field of study. The accuracy, sensitivity, specificity and overall results for each method are reported, compared, and discussed as the major contribution of this paper.
Miguel L Encarnacao - One of the best experts on this subject based on the ideXlab platform.
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increasing Student Retention in computer science through research programs for undergraduates
Technical Symposium on Computer Science Education, 2007Co-Authors: Joan Peckham, Peter Stephenson, Jeanyves Herve, Ron Hutt, Miguel L EncarnacaoAbstract:To address the alarming decrease in Students in Rhode Island computer science programs and the under-representation of women and minorities, we have devised a program to introduce Students to research in computer graphics, art and new media. This program integrates good mentoring practice and pedagogy, including problem-based learning. Special attention is paid to creating a cohort of Students who come together every week to learn about the research process, and ethical and societal issues related to it. Each Student takes a small project from the proposal stage, through design and implementation, to publication and presentation. We report on the first two years of the program.
Jorge Gaytan - One of the best experts on this subject based on the ideXlab platform.
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comparing faculty and Student perceptions regarding factors that affect Student Retention in online education
American Journal of Distance Education, 2015Co-Authors: Jorge GaytanAbstract:This qualitative study compared faculty and Student perceptions regarding factors that affect Student Retention in online courses in an attempt to more effectively address the problem of attrition. A grounded study method was used to interview Students taking online courses, analyze their responses related to the critical factors that affect Student Retention, and compare them with those given by expert online faculty documented by Gaytan (2013). Among the various findings, two are considered critical: online Students would like to receive more instruction from their professors and more comprehensive feedback that would allow them to engage in corrective behaviors to improve performance. Comparing faculty and Student responses related to the factors that affect Student Retention could give online program administrators and faculty advisors a better understanding of these critical factors to be able to respond to the Student Retention challenge more effectively.
