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Goodman, Kevin; Davis, Julian; McDonald, Thomas – American Journal of Engineering Education, 2016
In an effort to motivate undergraduate engineering students to prepare for class by reviewing material before lectures, a "Look-Ahead" problem was utilized. Students from two undergraduate engineering courses; Statics and Electronic Circuits, were assigned problems from course material that had not yet been covered in class. These…
Descriptors: Undergraduate Students, Engineering Education, Assignments, Reading Assignments
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Dib, Hazar Nicholas; Adamo-Villani, Nicoletta – Journal of Educational Technology Systems, 2016
We describe the development and evaluation of a virtual steel sculpture for engineering education. A good connection design requires the engineer to have a solid understanding of the mechanics and steel behavior. To help students better understand various connection types, many schools have acquired steel sculptures. A steel sculpture is a…
Descriptors: Computer Simulation, Teaching Methods, Engineering Education, Metallurgy
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Aguiar, Everaldo; Ambrose, G. Alex; Chawla, Nitesh V.; Goodrich, Victoria; Brockman, Jay – Journal of Learning Analytics, 2014
As providers of higher education begin to harness the power of big data analytics, one very fitting application for these new techniques is that of predicting student attrition. The ability to pinpoint students who might soon decide to drop out, or who may be following a suboptimal path to success, allows those in charge not only to understand the…
Descriptors: Academic Persistence, Engineering Education, Portfolios (Background Materials), Dropouts
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Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Frillman, Sharron Ann – ProQuest LLC, 2011
This phenomenological study examined the experiences of twelve female African Americans enrolled as fulltime undergraduate engineering students at North Carolina Agricultural and Technical State University, an historically Black university, and seven female African Americans enrolled as undergraduate engineering students at Purdue University in…
Descriptors: Engineering Education, Qualitative Research, African American Institutions, Engineering
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Livesay, Glen A.; Rogge, Renee D.; Dee, Kay C. – Advances in Engineering Education, 2010
Compared to the learning that occurs in most engineering courses, the learning that occurs in design courses is more dependent on students, and less dependent on instructors. Because typical course evaluations are instructor-centric and do not provide information about students' contributions to their learning, we developed a supplemental…
Descriptors: Engineering, Engineering Education, Design, Student Evaluation
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Rohr, Samuel L. – Journal of College Student Retention: Research, Theory & Practice, 2013
This study examined the relationship between various admissions selection criteria utilized by a small, Liberal Arts College in Indiana. More specifically, the study examined if a higher college preparatory GPA and a higher aggregate score on the SAT helped predict the retention of science, technology, engineering, mathematics, and business…
Descriptors: Liberal Arts, Grade Point Average, Enrollment, Predictor Variables
Lawanto, Oenardi; Stewardson, Gary – National Center for Engineering and Technology Education, 2009
The objective of this study was to evaluate grade 9-12 students' motivation while engaged in two different engineering design projects: marble-sorter and bridge designs. The motivation components measured in this study were focused on students' intrinsic (IGO) and extrinsic (EGO) goal orientations, task value (TV), self-efficacy for learning and…
Descriptors: Student Surveys, Questionnaires, Correlation, Student Motivation