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Niekrash, Christine E.; Copes, Lynn E.; Gonzalez, Richard A. – Anatomical Sciences Education, 2015
Several medical schools have recently described new innovations in interprofessional interactions in gross anatomy courses. The Frank H. Netter MD School of Medicine at Quinnipiac University in Hamden, CT has developed and implemented two contrasting interprofessional experiences in first-year medical student gross anatomy dissection laboratories:…
Descriptors: Medical Education, Anatomy, Interprofessional Relationship, Educational Innovation
Ellis, Robert A.; Han, Feifei; Pardo, Abelardo – Educational Technology & Society, 2017
The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…
Descriptors: Academic Achievement, Data Analysis, Outcomes of Education, Observation
Crossley, Scott A.; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Journal of Educational Data Mining, 2016
This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text…
Descriptors: Essays, Scoring, Writing Evaluation, Natural Language Processing
Moore, Jensen – Journalism and Mass Communication Educator, 2014
This study examined student success, failure, withdrawal, and satisfaction in online public relations courses based on instructor-student interaction, student-student interaction, and instructor presence. Student passing rates, D/F rates, withdrawal rates, and evaluations of instruction were compiled from fifty-one online PR courses run over the…
Descriptors: Online Courses, Teaching Methods, Public Relations, Undergraduate Students
Huang, Rui-Ting; Jang, Syh-Jong; Machtmes, Krisanna; Deggs, David – British Journal of Educational Technology, 2012
Although there is a growing interest in mobile learning, there are limited studies that focus on student knowledge acquisition. As applications and usages of mobile technology have become more and more accepted, it is important and meaningful that researchers and practitioners of mobile learning understand the potential factors that could…
Descriptors: Foreign Countries, Electronic Learning, Handheld Devices, Undergraduate Students
Williams, Gerri Brown – ProQuest LLC, 2009
The purpose of this study was to compare the retention factors between first-generation college students and second- and third-generation college students in the postsecondary educational setting. This study examined the differences in the preselected retention factors: faculty-student interaction, college mentor, academic support, residential…
Descriptors: Interaction, College Environment, First Generation College Students, Social Integration
Lathers, John Daniel – ProQuest LLC, 2010
The purpose of the study was to examine generic instructor characteristics capable of predicting learning outcomes for application to the evaluation process of formalized trainers within U.S. Marine Corps vocational specialty courses. A survey instrument was created based on research findings from multiple training disciplines and educational…
Descriptors: Multiple Regression Analysis, Factor Analysis, Teacher Characteristics, Prediction

Ramsett, David E.; And Others – Journal of Experimental Education, 1974
An evaluation of the performance of and attitudes toward the beginning course in economics at three mid-western collegiate institutions is investigated in this study. (Editor)
Descriptors: Data Analysis, Economics Education, Multiple Regression Analysis, Student Attitudes
Thomas, Emily H.; Galambos, Nora – Research in Higher Education, 2004
To investigate how students' characteristics and experiences affect satisfaction, this study uses regression and decision tree analysis with the CHAID algorithm to analyze student-opinion data. A data mining approach identifies the specific aspects of students' university experience that most influence three measures of general satisfaction. The…
Descriptors: Student Attitudes, Multiple Regression Analysis, Student Experience, Satisfaction

Tollefson, Nona; And Others – Instructional Science, 1983
A study which used multiple regression analysis to assess the relationship between student ratings of classroom practices, instructor characteristics, and student commitment to the course and an overall rating of the instructor found that variance in instructor ratings reflected variance in classroom and instructional practices. Twenty-six…
Descriptors: Classroom Techniques, College Students, Course Evaluation, Data Analysis
DeVries, Philip B., Jr.; And Others – 1975
The study was designed to identify and define the factors which contribute to undergraduate navigator training (UNT) attrition and to present recommendations to reduce the effects of those factors. Longitudinal data were collected from six UNT classes and augmented with cross-sectional data from a sample of 15 UNT classes. The student data are…
Descriptors: Attitude Measures, Attitudes, Aviation Technology, Cross Sectional Studies
Craig, Eleanor D.; And Others – 1977
The paper discusses an experiment in which regression analysis was used to examine predictors of information retention following a college economics course. It was hypothesized that students taught in small classes with self-instructional materials would place a higher value on basic economic concepts and retain these concepts longer than students…
Descriptors: Achievement Rating, Class Size, Cognitive Measurement, Comparative Analysis