there are too many confounding variables toproperly deal with other schools and their admissions processes in a study of this size.This research looked at the socioeconomic backgrounds of the students involved only cursorily. Itdid not consider any social pressure students may receive to join a particular field.2 Literature reviewThe literature review focused on studies already done on this topic, how previous studies incomputing had incorporated cognitive theory, and what surveys to use to study cognitive theoryamong computing students, including criticism of the chosen surveys.The initial literature review was to find studies related to cognitive preference or learning styleand how it bears on STEM students. Upon finding that there was
-socioeconomic students as an often understudied population. Justin has served as the ASEE Student Division Co-Program Chair and is a current Director of Special Projects for the Educational Research & Methods Division.Dr. Allison Godwin, Purdue University, West Lafayette (College of Engineering) Allison Godwin, Ph.D. is an Assistant Professor of Engineering Education at Purdue University. Her research focuses what factors influence diverse students to choose engineering and stay in engineering through their careers and how different experiences within the practice and culture of engineering foster or hinder belongingness and identity development. Dr. Godwin graduated from Clemson University with a B.S. in Chemical
, 21st century skills, and design and evaluation of learning environments informed by the How People Learn framework.Antonia Ketsetzi Antonia Ketsetzi is a graduate student in the Department of Teaching Learning & Culture at Texas A&M University. She received her BS degree in Mechanical Engineering at the Technological Educational Institute in Crete. She received her M.Sc degree in Environmental Technologies at University of Crete in Greece. Ketsetzi’s research is in How People Learn / Engineering Design and evaluation of educational innovations. She also serves as a Research Assistant in the project. Antonia Ketsetzi, M.Ed. Texas A&M University ketsetzi@tamu.eduDr. Xiaobo Peng, Prairie View A&M
Native, 10.18% Asian/Pacific Islander, 2.64% Hispanic, 82.43% Caucasian,2.20% Other.B. Methodologies for PredictionThrough literature reviews, several modeling methods were found to be employed inprior educational research to predict students’ retention. The most frequently used arelogistic regression, discriminant analysis and structural equation modeling (SEM). Thesethree statistics based methods, plus neural networks from artificial intelligence andmachine learning techniques, were applied to develop retention models in this study.Logistic regression (LR) has been broadly used in educational studies to predict studentretention or graduation status. Levin and Wyckoff7, House8, Schaeffers et al.9, Beserfield-Sacre et al.10, Zhang &
on research that investigates students’ covariational reasoning abilities17. Theformat of this problem was left as an open-ended question since our previous efforts had notinvestigated concepts related to covariational reasoning. The mass flow category includedoriginal inventory items developed in this study over a number of iterations with severalengineering instructors and graduate students. These questions stem from the exploratory workthat demonstrated student difficulty in distinguishing between factors that affect the rate at whichwater flows through a system and the total amount of water that flowed over a period of time.The heat transfer inventory items were taken directly from a rate and accumulation processessubsection of the Heat
Paper ID #7484Models of Mobile Hands-On STEM EducationProf. Kenneth A Connor, Rensselaer Polytechnic Institute Kenneth Connor is a professor in the Department of Electrical, Computer, and Systems Engineering, where he teaches courses on plasma physics, electromagnetics, electronics and instrumentation, electric power, and general engineering. His research involves plasma physics, electromagnetics, photonics, en- gineering education, diversity in the engineering workforce, and technology enhanced learning. Since joining the Rensselaer faculty in 1974, he has been continuously involved in research programs at such
2006-177: ASSESSMENT RESULTS OF MULTI-INTELLIGENCE METHODSUSED IN DYNAMICSLouis Everett, University of Texas-El Paso Louis J. Everett is a Professor of Mechanical Engineering at the University of Texas El Paso. Dr. Everett is a licensed professional engineer in the state of Texas and has educational research interests in the use of technology in the classroom. His technical research interests include robotics, machine design, dynamics and control systems. leverett@utep.edu http://research.utep.edu/pacelabElsa Villa, University of Texas-El Paso Elsa Villa is a lecturer in the Department of Teacher Education, Division of Mathematics, Science and Technology, at the University of Texas
Engineering from the University of Illinois, and a Doctorate from the University of Texas at Austin. After receiving her PhD, she spent two years as a post-doctoral researcher at the Karlsruhe Institute of Technology in Germany. Her academic career began in 1994 when she became an Assistant Professor at the University of Wisconsin-Madison. In 1999, she accepted a position in the Mechanical Engineering Department at Virginia Tech where she was promoted to Professor in 2003 and was recognized as the William S. Cross Professor of Mechanical Engineering in 2005. In 2006, she was appointed and continues to hold the position of Head of the Department of Mechanical and Nuclear Engineering at The Pennsylvania State University
Paper ID #17925First Generation Students’ Engineering BelongingnessMr. Hank Boone, University of Nevada, Reno Hank Boone is an Academic Success Coach at Nevada State College and a recent graduate from the University of Nevada, Reno. His research focuses on First Generation engineering college students’ engineering identity, belongingness, and how they perceive their college experience. He also worked under his advisor on a project looking at non-normative engineering students and how they may have differing paths to success. His education includes a B.S. and M.S. in Mechanical Engineering from University of Nevada
Paper ID #41742”I see myself as an engineer”: Disentangling Latinx Engineering Students’Perspectives of the Engineering Identity Survey MeasureAndrea (Lili) Lidia Castillo, Arizona State University A.Lili Castillo is a second-year graduate student in the Engineering Education Systems and Design Ph.D. program at Arizona State University. Her research interests include Latinx and first-generation college student experiences in engineering, particularly focusing on engineering identity development, belonging, and persistence beliefs.Dr. Dina Verdin, Arizona State University, Polytechnic Campus Dina Verd´ın, PhD is an Assistant
using case studies, graduate-level readings, and team assignments toeducate future engineering leaders forms the basis of our classes. 3In both programs, students are required to take a total of 10 classes. Table 2 lists the courses thatform the core curriculum for both programs. Technical Management students select 10 of the 22listed classes. This curriculum is focused on developing leadership skills that graduates can putinto practice managing projects or technical staff.The Engineering Management program, which prepares graduates for positions as technicalleaders with titles such as chief technologist, chief information officer, or chief engineer,provides a much more in-depth technical focus. Students in this program select 5 classes fromthe
skills, interpersonal skills,community and citizenship knowledge, leadership skills, professional effectiveness, informationand communication literacy, critical thinking, and self-management skills. This study exploredundergraduate engineering students’ perceptions of their generic skills competency as it relates toindividual demographics. Utilizing the Generic Skills Perception Questionnaire, 158 engineeringstudents at a research university located in the Midwest responded to the survey providingfeedback on their capabilities in the different generic skills. The survey found that womenindicated higher levels of perceived competency in several of the generic soft skills than men.Additionally, the minority racial and ethnic students perceived
2006-1824: REMOTE INTERNETWORKING LABORATORYImad Jabbour, Massachusetts Institute of Technology Imad W. Jabbour received his B.E. in Computer and Communications Engineering with distinction from the American University of Beirut in 2005. He is currently an M.S. candidate in the Information Technology program at MIT, and is working as a graduate Research Assistant at MIT's Center for Educational Computing Initiatives. His current research includes the implementation of software tools for online laboratories, as part of Microsoft-MIT's iLabs project. He holds a Microsoft Certified Systems Administrator certification since 2003, and is a Student Member of the IEEE since 2002.Linda Haydamous
Paper ID #7563Investigating the Impact of Visuohaptic Simulations for Conceptual Under-standing in Electricity and MagnetismKarla L. Sanchez, Purdue University Graduate Student in the Computer and Information Technology department, currently working as a Re- search Assistant in the Computer and Education Technology field.Dr. Alejandra J. Magana, Purdue University, West Lafayette is an Assistant Professor at the Department of Computer and Information Technology at Purdue Univer- sity West Lafayette. Magana’s research interests are centered on the integration of cyberinfrastructure, computation, and computational tools and
Paper ID #8663Engineering Vocabulary Development using an Automated Software ToolMr. Chirag Variawa, University of Toronto Chirag Variawa is an accelerated-stream Ph.D. Candidate in the Department of Mechanical and Industrial Engineering at the University of Toronto. He earned his B.A.Sc. in Materials Science Engineering in 2009 from the same institution. He is the first Graduate Student member of the University of Toronto Governing Council elected from Engineering. His multi-disciplinary research uses principles from arti- ficial intelligence, computational linguistics, higher education and aspects of neuroscience to
grant to study engineering students’ beliefs about their own intelligence.The purpose of this project is to both study students’ beliefs about intelligence as well as trainnew researchers in the field, including a professor and graduate student with no prior experienceor training in conducting engineering education research.Using a cross-sectional qualitative study, we are trying to answer the following research questionand subquestions:How do undergraduate engineering students characterize their beliefs about the nature ofintelligence?• How do students perceive the nature of their own intelligence? 1• How do student perceptions
engineering fields in the past but are used in new forms andcombinations.Linguistic trends found using this information had to be compared to known information aboutthe documents being analyzed. Information about various performance attributes such as conceptto final product inflection points, was available to compare with the linguistic data. Thisinformation also included number and types of prototypes that the teams created and a ranking ofhow amorphous the project brief was that was given to the students. The quality of thecharacterizations produced in this research study could be measured by comparing correlations inthe known data to correlations in this study’s data. The more correlations found, the more likelythat the methods were suitable to
research interests are engineering self-efficacy, creativity, and decision making.Dr. Kevin Andrew Richards, Northern Illinois University K. Andrew R. Richards is currently a visiting assistant professor at Northern Illinois University. Prior to his current post, Richards was a post-doctoral research associate with the Center for Instructional Ex- cellence at Purdue University, USA. His post-doctoral position focused on the evaluation of a large-scale course transformation project that sought to increase active learning and student-centered pedagogies in university-level teaching. Prior to post-doctoral studies, Richards completed his Master’s degree and PhD at Purdue University, and Bachelor’s degree at Springfield
goals. She achieved her Ph.D. in Engineering Education from Purdue University. Before engaging in Engi- neering Education research, she completed graduate degrees in Industrial Engineering and Statistics and contributed to a wide range of research areas including genetic disorders, manufacturing optimization, cancer biomarker detection, and the evaluation of social programs. Dr. Sanchez-Pena is passionate about teaching engineering students and First-Year Engineering students in particular, from whom she draws in- spiration because of their energy and creativity. She takes as her mission to foster such traits and support their holistic development, so they can find their unique engineering path and enact positive
Searle Center, her involvement specifically includes designing the evaluation strategy for GSW.Gregory Light, Northwestern University GREGORY LIGHT is the Director of the Searle Center for Teaching Excellence and an associate professor in the School of Education and Social Policy at Northwestern University. He holds a Ph.D. in Education from the University of London, UK, and focuses his research on the theory and practice of learning and teaching in higher education.Annette Munkeby, Northwestern University ANNETTE MUNKEBY was a Graduate Research Assistant and program coordinator of the Engineering Workshops at the Searle Center for Teaching Excellence at Northwestern University. She is
forboth intention and behavior.IntroductionThere is a growing emphasis in the United States on graduating engineering students whounderstand professional and ethical responsibility, as evidenced by The Engineer of 2020 reportproduced by the National Academy of Engineering (NAE)1. This report concludes that futureengineers will need to “possess a working framework upon which high ethical standards and astrong sense of professionalism can be developed.” To date, most research on ethics educationin engineering has focused on the effectiveness of various pedagogies as measured by in-classassessment of learning. While valuable, these efforts fail to recognize that the best measure ofsuccessful learning of ethical decision-making may be the extent to
focuses on student problem-solving pro- cesses and use of worked examples, change models and evidence-based teaching practices in engineering curricula, and the role of non-cognitive and affective factors in student academic outcomes and overall success.Mr. Gireesh Guruprasad, Purdue University, West Lafayette (College of Engineering) Gireesh Guruprasad is a graduate student at Purdue University. As part of his research, he explores factors that affect the Professional Formation of Engineers, based on students beliefs and preferences and the beliefs of the faculty who teach them. Gireesh obtained his Bachelors degree in Mechanical Engineering and is currently pursuing his Masters degree in Aeronautics and Astronautics
Paper ID #33085A Two-step Model for the Interpretation of Meaningful RecognitionMiss Kelsey Scalaro, University of Nevada, Reno Kelsey completed her Bachelor’s in mechanical engineering at the University of Nevada and then worked in the aerospace industry for a few years. She has since returned to school and is working on her Master’s in mechanical engineering alongside her Ph.D. in engineering education at the University of Nevada, Reno. Her research interests are engineering identity and construction for undergraduate, graduate, and career engineers with an emphasis on the construct of recongition.Ms. Indira Chatterjee
rooted in how confident someone is in their competence withregard to a specific task.34 An individual’s epistemic beliefs refers to what that person believesabout the nature of knowledge and skill.35 For this study in particular, the authors are interestedin whether individuals believe that everyone has a fixed amount of a certain trait or ability orwhether it is possible to acquire more knowledge and skill through study, practice, and training.All of these components of motivation are well understood but there is little existing research thatapplies such concepts to the domain of spatial skills.Hypotheses This study is guided by three primary hypotheses. The first is that individuals who believethat spatial abilities are fixed will not
, NRC, NASA and NSF, and generated over 50 journal and conference papers.Dr. Showkat Chowdhury, Alabama A&M University Dr. Showkat Chowdhury is a Professor in the Department of Mechanical Engineering at Alabama A&M University in Huntsville, AL. Dr. Chowdhury has extensive background in teaching undergraduate and graduate students in Mechanical Engineering, and performing research in the fields of Computational Fluid Dynamics, Pedagogy, Renewable Energy, Nano-Technology, Heat & Mass Transfer, and Com- bustion. He is managing multi-million dollar external research grants from NSF as PI. Previously, he worked as a Professor at Bangladesh University of Engineering & Technology (BUET) and at University
AC 2007-1505: BREADTH IN DESIGN PROBLEM SCOPING: USING INSIGHTSFROM EXPERTS TO INVESTIGATE STUDENT PROCESSESAndrew Morozov, University of Washington ANDREW MOROZOV is a graduate student in Educational Psychology, College of Education, University of Washington. Andrew is working on research projects within the Center for Engineering Learning and Teaching (CELT) and the Center for the Advancement of Engineering Education (CAEE).Deborah Kilgore, University of Washington DEBORAH KILGORE is a Research Scientist in the Center for Engineering Learning and Teaching (CELT) and the Center for the Advancement of Engineering Education (CAEE), University of Washington. Her areas of specific interest and
at other institutions. This case study examines oneengineering competition team’s organizational culture at our home institution.Research DesignMethod:Over the last thirty years as education research has redefined inequality from a standard of“equality of opportunity” to “equality of outcome,” case study methodology offered an importantavenue to describing and understanding the human interactions, meanings, and processes thatconstitute real-life institutional settings.12 The case study is a research strategy focusing onunderstanding the processes present within single settings by taking advantage of rich empiricaldata.13,14 Choosing to study a particular case enables a researcher to bring forth a rich descriptionof the lived experience from
accreditation processes. The platform utilized in this investigation,the Academic Evaluation, Feedback and Intervention System (AEFIS) – from Untra Corporation,provides systemic support and knowledge management allowing for the development of anInstructional Decision Support System (IDSS). The IDSS is designed to ensure that theengineering education system co-evolves appropriately with student characteristics and the needsof the global community. The present implementation of the system, as well as current studies todetermine proof-of-concept, are described.The problems faced by modern engineering educators have much in common with thedifficulties experiences by physicians and for very similar reasons. In the past, the family doctortreated the same
2006-628: A REVIEW OF THE CURRENT STATUS AND CHALLENGES OFVIRTUAL EXPERIMENTATIONPatrick Tebbe, Minnesota State University-Mankato Patrick Tebbe is an Assistant Professor of Mechanical Engineering at Minnesota State University in Mankato where he serves as the Graduate Coordinator for Mechanical Engineering. Dr. Tebbe received the B.S., M.S., and Ph.D. degrees in Mechanical Engineering as well as the M.S. in Nuclear Engineering from the University of Missouri – Columbia. He is currently a member of the American Society for Engineering Education, the American Society of Mechanical Engineers and the American Society for Heating, Refrigerating and Air Conditioning Engineers
Paper ID #10154Developing Critical Thinking Skills in a Mixed-Signal Test and Product En-gineering CourseDr. Tina Hudson, Rose-Hulman Institute of Technology Tina Hudson is an Associate Professor at Rose-Hulman Institute of Technology. She received her Ph.D. in Electrical Engineering from Georgia Institute of Technology in 2000. She teaches in the areas of analog and digital circuits and systems, analog and mixed-signal integrated circuit design and testing, and MEMS. Her education research interests include the development of critical thinking skills and intuition in undergraduate students and course development based on