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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 29 results
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Loera, Gustavo; Nakamoto, Jonathan; Oh, Youn Joo; Rueda, Robert – Career and Technical Education Research, 2013
Drawing on social cognitive theory, this study examined the relationship between student and school-based factors (e.g., educational aspirations, quality of the program of study, and adults' impact on college enrollment) and students' academic engagement and satisfaction with student life in a career technical education (CTE) setting.…
Descriptors: Career Education, Technical Education, Predictor Variables, Student Motivation
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Aragon, Steven R.; Alfeld, Corinne; Hansen, David M. – Career and Technical Education Research, 2013
The purpose of this study was to determine to what extent do CTSOs affect student psychosocial and achievement outcomes (above and beyond stand-alone CTE programs) when controlling for gender and race. Using a cross-sectional descriptive research design, a total of 5,677 students from 10 states were surveyed regarding their high school…
Descriptors: Career Education, Technical Education, Student Organizations, Academic Achievement
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Schultz, Deanna; Stern, Sam – Career and Technical Education Research, 2013
College and career readiness is a concern in both business and education arenas. Employers are calling for entry-level employees with basic academic skills and educators are being held accountable for student achievement in similar academic areas. In this environment, WorkKeys has emerged as a set of assessments that could respond to the needs of…
Descriptors: High School Students, Student Attitudes, College Readiness, Career Readiness
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Evan, Aimee J.; Burden, Frances F.; Gheen, Margaret H.; Smerdon, Becky A. – Career and Technical Education Research, 2013
Career academies have been effective in reducing the high school dropout rates and increasing academic course taking and course credit accumulation among students (Kemple & Willner, 2008; Kemple & Snipes, 2000). However, not all students have access to career academy programs as they are not universally implemented across the state of…
Descriptors: High School Students, Career Academies, Access to Education, Geographic Location
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Fletcher, Edward C., Jr. – Career and Technical Education Research, 2012
Sparked by the current economic situation in the U.S., policymakers have begun to shift their concern from solely concentrating on the preparation of students for college to preparing them for the workforce as well. Thus, it is time for CTE to understand its impact on students' long-term trajectories. The purpose of this study was to predict…
Descriptors: Employment Level, Vocational Education, Secondary School Curriculum, Education Work Relationship
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Fletcher, Edward C., Jr. – Career and Technical Education Research, 2012
The purpose of this study was to predict occupational choices based on demographic variables and high school curriculum tracks. Based on an analysis of the 1997 National Longitudinal Survey of Youth (NLSY) data set that examined high school graduates' occupational choices in 2006, findings indicated that CTE graduates were 2.7 times more likely to…
Descriptors: Career Choice, High School Graduates, STEM Education, Social Influences
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Nimon, Kim – Career and Technical Education Research, 2012
Using state achievement data that are openly accessible, this paper demonstrates the application of hierarchical linear modeling within the context of career technical education research. Three prominent approaches to analyzing clustered data (i.e., modeling aggregated data, modeling disaggregated data, modeling hierarchical data) are discussed…
Descriptors: Vocational Education, Educational Research, Hierarchical Linear Modeling, Multivariate Analysis
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Israel, Glenn D.; Myers, Brian E.; Lamm, Alexa J.; Galindo-Gonzalez, Sebastian – Career and Technical Education Research, 2012
Career and Technical Education programs include over 9.2 of the nation's 14.9 million secondary students. Although STEM and health CTE programs are thought to contribute to students' achievement in science, previous studies also suggest that agricultural and natural resources programs can aid students in making connections between agricultural…
Descriptors: Vocational Education, Science Achievement, Secondary School Students, Grade 11
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Young, R. Brent; Hodge, Angie; Edwards, M. Craig; Leising, James G. – Career and Technical Education Research, 2012
The purpose of this study was to empirically test the posit that students who participated in a contextualized, mathematics-enhanced high school agricultural power and technology (APT) curriculum and aligned instructional approach would develop a deeper and more sustained understanding of selected mathematics concepts than those students who…
Descriptors: High School Students, Agricultural Education, Mathematical Concepts, Integrated Curriculum
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Rivera, Jennifer E. – Career and Technical Education Research, 2011
The State of New York Agriculture Science Education secondary program is required to have a certification exam for students to assess their agriculture science education experience as a Regent's requirement towards graduation. This paper focuses on the procedure used to develop and validate two content sub-test questions within a…
Descriptors: Test Items, Item Banks, Test Construction, Test Validity
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Rayfield, John; Croom, Barry; Stair, Kristin; Murray, Katie – Career and Technical Education Research, 2011
The researchers sought to determine how agricultural education instructors differentiate instruction in the classroom. Based upon the findings of this study, they conclude that the teachers in this study differentiate instruction in the agriscience classroom. Teachers base their teaching on students' learning needs as well as on the curriculum.…
Descriptors: Agricultural Education, Individualized Instruction, Secondary Education, Secondary School Teachers
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Austin, Chandra Yvette – Career and Technical Education Research, 2010
This study examined the relationship between specific factors believed to influence career decision self-efficacy and math/science related goal intentions (proxy for engineering related goal intentions) among African American high school students. Minority students generally tend to be underrepresented in such careers, as indicated by the National…
Descriptors: African American Students, Socioeconomic Status, Self Efficacy, Science Interests
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Fletcher, Edward C., Jr.; Zirkle, Chris – Career and Technical Education Research, 2009
The purpose of this study was to investigate the relationship between high school curriculum tracks and student achievement outcomes through the consideration of degree attainment and occupational earnings. Data pertaining to graduates were analyzed through the National Longitudinal Survey of Youth (NLSY) 1997 dataset. This study investigated the…
Descriptors: High Schools, Secondary School Curriculum, Track System (Education), Academic Degrees
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Gaytan, Jorge – Career and Technical Education Research, 2008
The purpose of this study was to examine the (a) perceptions held by high school business education department chairpersons regarding the characteristics of individuals entering and remaining in the teaching profession and (b) characteristics of schools that have been successful in recruiting and retaining business education teachers. The findings…
Descriptors: Teacher Persistence, Business Education Teachers, Faculty Mobility, Business Education
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Kim, JoHyun; Bragg, Debra D. – Career and Technical Education Research, 2008
Using Astin's I-E-O model, relationships among the input (I) variables of gender, high school percentile rank, Tech Prep participation, and high school course-taking; environmental (E) variables of academic, career and technical education (CTE), and total dual credit and articulated credit; and output (O) variables of college readiness and total…
Descriptors: Community Colleges, Regression (Statistics), Predictor Variables, Dual Enrollment
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