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Michael Eric Williams – ProQuest LLC, 2020
Allied Health students enrolled in Career and Technical Education, CTE, programs in the State of Mississippi exhibit one of the lowest rates of first-time pass performance on their certification examinations in the United States. The purpose of this research was to determine if any proposed metrics are statistically significant in predicting the…
Descriptors: Allied Health Occupations Education, Career and Technical Education, Predictor Variables, Student Characteristics
Yin, Sylvia Chong Nguik – IAFOR Journal of Education, 2016
Universities are inundated with detailed applicant and enrolment data from a variety of sources. However, for these data to be useful there is a need to convert them into strategic knowledge and information for decision-making processes. This study uses predictive modelling to identify at-risk adult learners in their first semester at SIM…
Descriptors: Foreign Countries, Predictor Variables, Models, College Freshmen
Nafukho, Fredrick Muyia; Alfred, Mary; Chakraborty, Misha; Johnson, Michelle; Cherrstrom, Catherine A. – European Journal of Training and Development, 2017
Purpose: The primary purpose of this study was to predict transfer of learning to workplace among adult learners enrolled in a continuing professional education (CPE) training program, specifically training courses offered through face-to-face, blended and online instruction formats. The study examined the predictive capacity of trainee…
Descriptors: Predictor Variables, Transfer of Training, Workplace Learning, Education Work Relationship
Zimmerman, Whitney Alicia – International Journal of E-Learning & Distance Education, 2017
Expectancies of success and values were used to predict success in an online undergraduate-level introductory statistics course. Students who identified as primarily face-to-face learners were compared to students who identified as primarily online learners. Expectancy value theory served as a model. Expectancies of success were operationalized as…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Teaching Methods
Kauffman, Heather – Research in Learning Technology, 2015
Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined…
Descriptors: Electronic Learning, Predictor Variables, Academic Achievement, Success
Sasway, Hope – ProQuest LLC, 2017
There is a need for science education research that explores community college student, instructor, and course characteristics that influence student interest and motivation to study science. Increasing student enrollment and persistence in STEM is a national concern. Nearly half of all college graduates have passed through a community college at…
Descriptors: Community Colleges, Two Year College Students, STEM Education, Science Education
MacGregor, Cassandra; Ryan, Thomas G. – Australian Journal of Adult Learning, 2011
This paper illuminates and details some of the traits, pressures and semi-autonomy of the young adult between the ages of 18 and 24 who must confront the barriers and challenges upon returning to secondary school within the high school and the adult education centre context. Focusing on these young adults is fundamentally important to begin to…
Descriptors: Adult Education, Adult Learning, Young Adults, Adult Students
Stine, Linda – Teaching English in the Two-Year College, 2010
Online learning, according to a recent Department of Education meta-analysis (Means et al. 2009), is equal to and sometimes better than traditional face-to-face instruction, while hybrid education is best of all. Students seem eager to reap those online benefits; the March 2009 "Digest of Education Statistics" reports that the U.S. college with…
Descriptors: Electronic Learning, Basic Writing, Adult Basic Education, Adult Learning
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals

Chapelle, Carol; Roberts, Cheryl – Language Learning, 1986
Reports on a study of the influence of cognitive/affective variables on the second language learning ability of adults. Two variables, field independence and ambiguity tolerance, were found to be significant predictors of English as a second language proficiency for international students studying in the United States. (SED)
Descriptors: Adult Learning, Cognitive Style, English (Second Language), Field Dependence Independence
Tuckett, Alan; Sargant, Naomi – 1999
Adult participation in education in the United Kingdom in 1999 was examined in a survey during which a sample of 5,054 adults over the age of 17 (2,366 men and 2,688 women) throughout the United Kingdom were interviewed. The following were among the major findings: (1) 23% of adults enrolled in courses were taking computer courses; (2) the rate of…
Descriptors: Adult Education, Adult Learning, Adult Students, Age Differences
Flannery, Daniele, Ed. – 1993
Among the papers included are the following: "Exploring Literacy through Theater" (Andruske); "Heuristic Research" (Beckstrom); "Self-Direction in Adult Undergraduates" (Blowers); "Commodification of Adult Education" (Briton, Plumb); "Collective Group Learning" (Brooks); "Psychosocial Development of Women" (Caffarella, Barnett); "Writing Wrongs"…
Descriptors: Academic Achievement, Adult Basic Education, Adult Education, Adult Learning