Journal ArticleJ Contin Educ Health Prof · October 1, 2024
INTRODUCTION: Health professions preceptors require skills and knowledge to effectively meet the educational needs of interprofessional students in clinical environments. We implemented a mini-fellowship program to enhance the knowledge, skills, and self-e ...
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Journal ArticleNew Directions for Teaching and Learning · September 1, 2024
This chapter introduces the learning analytics as a catalyst to transform data utilization and bolster support for the scholarship of teaching and learning. ...
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Journal ArticleJ Phys Ther Educ · September 1, 2023
INTRODUCTION: The aim of this study was to adapt and validate the Belongingness Scale-Clinical Placement Experience (BES-CPE) for Doctor of Physical Therapy (DPT) students in the United States. REVIEW OF LITERATURE: Belongingness is vital to one's mental, ...
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Journal ArticleJ Physician Assist Educ · September 1, 2022
INTRODUCTION: Research on learning indicates that active retrieval of information (ie, testing) enhances student retention of knowledge, yet, it is underutilized by learners. This research investigated physician assistant (PA) students' study strategies an ...
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Journal ArticleJ Physician Assist Educ · September 1, 2022
INTRODUCTION: Student patient encounter logging informs the quality of supervised clinical practice experiences (SCPEs). Yet, it is unknown whether logs accurately reflect patient encounters, and the faculty resources necessary to review for potential aber ...
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Journal ArticleFam Med · February 2022
BACKGROUND AND OBJECTIVES: Community engagement (CE), including community-engaged research, is a critical tool for improving the health of patients and communities, but is not taught in most medical curricula, and is even rarer in leadership training for p ...
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Journal ArticleJ Physician Assist Educ · June 2019
PURPOSE: The Physician Assistant Clinical Knowledge Rating and Assessment Tool (PACKRATĀ®) is a known predictor of performance on the Physician Assistant National Certifying Exam (PANCE). It is unknown, however, whether these associations (1) vary across pr ...
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Chapter · April 1, 2015
This book introduces real-world applications of the Model for Collaborative Evaluations (MCE) in business, nonprofit, and education to make collaborative evaluations more accessible to you. ...
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Journal ArticleEducational Technology Research and Development · October 1, 2012
This paper reports on the effects an experimental English as a Foreign Language (EFL) program in Second Life (SL) had on Chinese student EFL learning. The study took an evaluative approach using quasi-experimental design with participants from one Chinese ...
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Journal ArticleAm J Public Health · July 2012
OBJECTIVES: We assessed how frequently researchers reported the use of statistical techniques that take into account the complex sampling structure of survey data and sample weights in published peer-reviewed articles using data from 3 commonly used adoles ...
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Journal ArticleEducational and Psychological Measurement · January 1, 2010
The purpose of this research is to examine eight of the different methods for computing confidence intervals around alpha that have been proposed to determine which of these, if any, is the most accurate and precise. Monte Carlo methods were used to simula ...
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Journal ArticleInternational Journal of Learning · January 1, 2010
Pedagogical practices, or methods on "how to teach", taught in teacher education programs need to be modeled (Jay, 2002) by the teacher educators to maximize the teacher candidates' learning and lay the foundation for developing a deeper understanding for ...
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Journal ArticleInternational Journal of Learning · January 1, 2010
Online course management systems are used in online and face-to-face courses in many higher education institutions. Discussion boards are an available feature in many online course management systems. The purpose of the study was to examine the use of inte ...
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Journal ArticleBehav Res Methods · May 2009
Multiple-baseline studies are prevalent in behavioral research, but questions remain about how to best analyze the resulting data. Monte Carlo methods were used to examine the utility of multilevel models for multiple-baseline data under conditions that va ...
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