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Fisher, Dara R.; Bagiati, Aikaterini; Sarma, Sanjay – Journal of Student Affairs Research and Practice, 2017
As nations have sought to keep pace with rapid technological innovation, governments have renewed their focus on science, technology, engineering, and mathematics (STEM) education, with emphasis on developing both technical and non-technical skills in STEM students. This article examines which engineering-relevant skills may be developed by…
Descriptors: Undergraduate Students, Engineering Education, Skill Development, Professional Education
Taskinen, Päivi H.; Steimel, Jochen; Gräfe, Linda; Engell, Sebastian; Frey, Andreas – Peabody Journal of Education, 2015
This study examined students' competencies in engineering education at the university level. First, we developed a competency model in one specific field of engineering: process dynamics and control. Then, the theoretical model was used as a frame to construct test items to measure students' competencies comprehensively. In the empirical…
Descriptors: Models, Engineering Education, Test Items, Outcome Measures
Guarino, Cassandra M.; Reckase, Mark D.; Stacy, Brian W.; Wooldridge, Jeffrey M. – Education Policy Center at Michigan State University, 2014
We study the properties of two specification tests that have been applied to a variety of estimators in the context of value-added measures (VAMs) of teacher and school quality: the Hausman test for choosing between random and fixed effects and a test for feedback (sometimes called a "falsification test"). We discuss theoretical…
Descriptors: Achievement Gains, Evaluation Methods, Teacher Effectiveness, Educational Quality
Naaj, Mahmoud Abou; Nachouki, Mirna; Ankit, Ahmed – Journal of Information Technology Education: Research, 2012
Blended learning combines multiple delivery media that are designed to complement each other and promote learning and application-learned behavior (Smith & Dillon, 1999). This article reports on a study conducted in the College of Information Technology to evaluate levels of student' satisfaction with blended learning. The particular blend of…
Descriptors: Blended Learning, Participant Satisfaction, Student Attitudes, Information Technology
Nauta, Margaret M. – Journal of Career Development, 2012
A confirmatory factor analysis (CFA) tested the fit of Kelly and Lee's six-factor model of career decision problems among 188 college students. The six-factor model did not fit the data well, but a five-factor (Lack of Information, Need for Information, Trait Indecision, Disagreement with Others, and Choice Anxiety) model did provide a good fit.…
Descriptors: Factor Analysis, Self Efficacy, Career Choice, Performance Factors