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Taylor V. Williams – ProQuest LLC, 2022
Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…
Descriptors: Multivariate Analysis, Data Analysis, Student Evaluation, Large Group Instruction
Chasmar, Justine – ProQuest LLC, 2017
This dissertation presents multiple studies with the purpose of understanding the connections between undergraduate engineering students' motivations, specifically students' Future Time Perspectives (FTPs) and Self-Regulated Learning (SRL). FTP refers to the views students hold about the future and how their perceptions of current tasks are…
Descriptors: Undergraduate Students, Engineering Education, Student Motivation, Time Perspective
Knight, David B. – ProQuest LLC, 2012
Members of government and industry have called for greater emphasis within U.S. colleges and universities on producing engineers who can enter and advance a more competitive, globally connected workforce. Looking toward this future, engineers will need to exhibit strong analytical skills as in the past, but they also will need to be proficient in…
Descriptors: Undergraduate Students, Engineering Education, Outcomes of Education, Classification
Krause, Jaclyn A. – ProQuest LLC, 2010
As Web 2.0 tools and technologies increase in popularity in consumer markets, enterprises are seeking ways to take advantage of the rich social knowledge exchanges that these tools offer. The problem this study addresses is that it remains unknown whether employees perceive that these tools offer value to the organization and therefore will be…
Descriptors: Employees, Intention, Engineering, Correlation
Sparks, David M. – ProQuest LLC, 2013
The purpose of this research was to distinguish the similarities and differences in coping strategies of African American engineering students by analyzing their perceptions of stereotype threat at three academic institution types, Predominantly White Institutions (PWI), ethnically diverse, and Historically Black Colleges and Universities (HBCUs).…
Descriptors: African Americans, Stereotypes, White Students, Institutional Characteristics
Hamilton, Robert V. – ProQuest LLC, 2010
This dissertation analyzes the nearly 100,000 foreign students who attained science and engineering (S&E) doctorates in the five fields of physical sciences, life sciences, engineering, mathematics and computer sciences, and social and behavioral sciences at American universities from 1994 to 2005. Two models are presented. In the first model…
Descriptors: Foreign Countries, Regional Characteristics, Higher Education, Doctoral Programs