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Van der Lingen, Elma; Åmo, Bjørn Willy; Pettersen, Inger Beate – Education & Training, 2020
Purpose: Entrepreneurship is a process of learning. The entrepreneurial learning process incorporates a cumulative series of multifaceted entrepreneurial experiences, which generally involve the development of new insights and behaviours. This study aimed to determine whether entrepreneurial experience has an influence on the preferred learning…
Descriptors: Correlation, Entrepreneurship, Preferences, Cognitive Style
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Baukal, Charles E.; Ausburn, Lynna J. – European Journal of Engineering Education, 2017
Continuing engineering education (CEE) is important to ensure engineers maintain proficiency over the life of their careers. However, relatively few studies have examined designing effective training for working engineers. Research has indicated that both learner instructional preferences and prior knowledge can impact the learning process, but it…
Descriptors: Engineering Education, Cognitive Style, Learning Processes, Preferences
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Aleta, Beda T. – Journal of Education and Practice, 2016
This research study aims to determine the factors of engineering skills self- efficacy sources contributing on the academic performance of AMAIUB engineering students. Thus, a better measure of engineering self-efficacy is needed to adequately assess engineering students' beliefs in their capabilities to perform tasks in their engineering…
Descriptors: Engineering Education, Self Efficacy, College Students, Student Surveys
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Donna, Joel D. – Journal of Pre-College Engineering Education Research, 2012
Engineering design activities can help educators to apply concepts and processes from within and across STEM domains. To facilitate these connections, there is a need for sustained, job-embedded, and collegial professional development that brings together teachers from across STEM domains to engage in design-based activities. These activities can…
Descriptors: Models, Faculty Development, STEM Education, Engineering Education
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Lynch, Raymond; Seery, Niall; Gordon, Seamus – Irish Educational Studies, 2011
There has been a growing interest in the influences on undergraduate performance in recent years as a result of the increasing diversity of students entering third-level education and an ever increasing emphasis on the development of a robust knowledge economy. This paper investigates the influence of students' dominant interest types and prior…
Descriptors: Student Interests, Interest Inventories, Regression (Statistics), Academic Achievement
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Cagiltay, Nergiz Ercil – British Journal of Educational Technology, 2007
Software-engineering education programs are intended to prepare students for a field that involves rapidly changing conditions and expectations. Thus, there is always a danger that the skills and the knowledge provided may soon become obsolete. This paper describes results and draws on experiences from the implementation of a computer…
Descriptors: Computer Software, Engineering Education, Computers, Games
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House, J. Daniel – International Journal of Instructional Media, 2000
Discussion of student achievement and persistence rates in science, engineering, and mathematics disciplines focuses on a study of college students that evaluated the joint contributions of academic background measures and other factors, including self-beliefs, toward the explanation of overall grade performance. Describes correlations between…
Descriptors: Academic Achievement, Correlation, Engineering Education, Grades (Scholastic)
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Rafi, Ahmad; Samsudin, Khairul Anuar – Journal of Technology Education, 2007
Taking advantage of the convergence of technology and new insights of teaching and learning, the Ministry of Education of Malaysia has implemented a new educational reform primarily to revise the current curriculum, establish new learning standards, and incorporate the use of technology as an integral part of the learning process. This new…
Descriptors: Gender Differences, Mathematics Achievement, Problem Solving, Standards
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries