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
Paper ID #10754Conducting Virtual Focus Groups to Identify How Rewards Have Affectedthe Valuation of Technology in Engineering EducationDr. Flora P McMartin, Broad-based Knowledge, LLC Flora McMartin is the founder of Broad-based Knowledge, LLC (BbK), a consulting firm focused on as- sisting educators in higher education in their evaluation of the use and deployment of technology assisted teaching and learning. BbK specializes in building organizational and project level evaluation capacities and integrating evaluation into management activities. Current research projects focus on: innovations in technology, student
by their administrators.Prof. Walter Fredrick Heinecke, University of Virginia Walt Heinecke is Associate Professor of Research, Statistics, & Evaluation at the Curry School of Educa- tion at UVa. He specializes in research, evaluation, and policy. He is editor of the book series Research Methods for Educational Technology published by IAP. Page 24.92.1 c American Society for Engineering Education, 2014 Educational Social Media Use and its Relationship to Student Performance in Engineering EducationAbstractThe HigherEd 2.0 (HED2.0) program initiated in 2006
Paper ID #9956Collaboration within Engineering Education Research’s Community of Prac-ticeScottie-Beth Fleming, Georgia Institute of Technology Scottie-Beth Fleming is an Aerospace Engineering PhD student and NSF GRFP Fellow in the Cognitive Engineering Center (CEC) at Georgia Tech. She graduated with honors from Georgia Tech in 2009 with a B.S. in Aerospace Engineering and in 2013 with an M.S. in Aerospace Engineering. Her research within the CEC examines training approaches for pilots, interdisciplinary teams within the engineering design process, and human interaction with technology
Paper ID #9765Mediators of Participation in Online DiscussionsErin Shaw, University of Southern California Erin Shaw is a Computer Scientist at the University of Southern California’s Information Sciences In- stitute, a research center at the USC Viterbi School of Engineering. Her research focuses on modeling and assessing student knowledge in the areas of science and mathematics, experimenting with new tech- nologies for aiding assessment in distance learning, and studying computer mediated social dialogue and team collaboration in post-secondary engineering education. She received an MA in Online and Distance
Tom McDonald is an Assistant Professor in the Engineering Department at the University of Southern Indiana. Prior to joining USI he taught for six years in the School of Technology at Eastern Illinois University. He earned his BSIE and MSIE degrees in Industrial Engineering from Clemson University and his PhD in Industrial and Systems Engineering from Virginia Tech. His research and teaching interests primarily include lean manufacturing, discrete event simulation and modeling, and engineering economy. Tom has been involved in lean manufacturing and modeling of production lines since 1999 and has worked with private organizations such as Danaher/Kollmorgen and AT&T
Paper ID #8510The Potential for Computer Tutors to Assist Students Learning to Solve Com-plex ProblemsDr. Paul S. Steif, Carnegie Mellon University Paul S. Steif is a Professor of Mechanical Engineering at Carnegie Mellon University. He received a Sc.B. in engineering from Brown University (1979) and M.S. (1980) and Ph.D. (1982) degrees from Harvard University in applied mechanics. He has been active as a teacher and researcher in the field of engineering education and mechanics. His research has focused on student learning of mechanics concepts and devel- oping new course materials and classroom approaches. Drawing upon
and learning. Nadelson brings a unique perspective of research, bridging experience with practice and theory to explore a range of interests in STEM teaching and learning.Mrs. Dee K Mooney, Micron FoundationJanine Rush-Byers, Micron Technology Foundation, Inc. Janine Rush-Byers has been with the Micron Foundation since 2006 as the university relations manager. Janine works with domestic and international universities to build strategic, long term partnerships fo- cusing on engineering programs, students and faculty members. The Foundation funds $5 million in grants annually around the world, including $2 million to universities. Janine holds a bachelor’s degree in engineering from the University of Washington and
Paper ID #9139Faculty Approaches to Working Life Issues in Engineering CurriculaMrs. Marie Magnell, KTH Royal Institute of Technology PhD student at KTHDr. Lars Allan Geschwind, KTH Royal Institute of TechnologyDr. Lena B. Gumaelius, KTH, Department of Learning Head of Deparment of Learning, ECE school, KTH PhD in Biotechnology 2001 Engineering degree in Chemistry 1994Prof. Anette Jepsen Kolmos, Aalborg University Anette Kolmos is Professor in Engineering Education and PBL and Chairholder for UNESCO in Prob- lem Based Learning in Engineering Education, Aalborg University, Denmark. Guest professor at KTH Royal Institute of
potential technologies for self-improvement. In Proceedings of the CHI annual conference.28. Bateman, S., Teevan, J., & White, R. W. (2012). The search dashboard: How reflection and comparison impact search behavior. In Proceedings of the ACM Human Factors in Computing Systems annual conference.29. Grimes, A., Tan, D., & Morris, D. (2009). Toward Technologies that Support Family Reflections on Health. In Proceedings of ACM GROUP 2009 conference.30. Ambrose, S. A. (2013). Undergraduate engineering curriculum: The ultimate design challenge. The Bridge: Linking Engineering and Society, 43(2), 16-23. Page 24.776.1531
. Researchers suggest the inclusion of components of the lab activities into lecture materialsand having students being required to apply the formula they would be given in the lab to theactivities they would engage with in the lecture class. In doing this students would be better ableto connect what they are learning in the lecture class with the lab activities. Linking lab andlecture provides students with the opportunity to practice what they learn as a collective processas oppose to disconnecting the two areas. In addition, the use of technology in support ofcreating active learning activities within the engineering classroom has been known to haveremarkable benefits [15]. In this classroom, teacher and students all have a Tablet PC called
fixate on a specificarea of a problem diagram longer when they encounter difficulties or are confused. Utilizing eye-tracking technology allows to discover the visual attention patterns of students’ while solvingengineering problems, and to investigate the significant factors impacting their performance,including spatial thinking ability, and their understanding of specific concepts. Once suchpatterns of visual attention are discovered, they can be leveraged to detect the most challengingconcepts, and may enable instructors to provide more targeted help to students.In this paper, the visual attention during solving engineering problems (here, solid mechanicsproblems) of 18 undergraduate students was evaluated using eye tracking. The students
academic plan as external to the educational environment relate to instructionalprocesses.The Academic Plan model acknowledges that external influences are embedded in alarger sociocultural context that frames academic planning. This context shapes whathappens in colleges and universities. In engineering, external and sociocultural factorstake a variety of forms of influence. The globalization of markets for goods and labor aswell as advances in technology are sociocultural forms of influence. New and evolvingdemands on engineers in the workplace similarly act as external forces that may influencethe instructional decisions of faculty members. Academic disciplines that serve asgateways to the professions, like engineering programs, are especially
taught over 12,500 students in 22 years at Boise State. He is a member of the American Psychological Association, a fellow in APA’s Division Two (Society for the Teaching of Psychology or STP), and is serving as the 2014 STP President. Page 24.328.1 c American Society for Engineering Education, 2014 Creating a STEM Identity: Investment with ReturnAbstractEstablishing a strong STEM (science, technology, engineering and mathematics) identity atBoise State University, a metropolitan campus with approximately 3,655 undergraduate STEMstudents and a total undergraduate enrollment of
collegestudents in college courses. The scales in the ASE are well established and have been refinedbased on multiple waves of data collection using college students, internal reliability and factoranalyses, and correlations with academic performance.Task Value: Task value was also measured using items from Pintrich’s Motivated Strategies forLearning Questionnaire4-6. In this study, task value was conceptualized as students' perception ofhow interesting, important, or useful tasks in their engineering major and program are, includingthe importance and utility of corresponding course material. Task value is critical to consider asit is a major motivator to learn according to Eccles’ expectancy-value model7, 8. In physical andinformation technology
Paper ID #9117Engagement of Students at the United States Air Force AcademyMr. Scott Blum, University of Colorado, Colorado Springs PhD Student at the University of Colorado, Colorado Springs and Air Force Academy Assistant Professor Page 24.486.1 c American Society for Engineering Education, 2014 Cadet Engagement at the United States Air Force Academy: A Mixed Methods Analysis of Officer Development Since the 1970s, a great deal of research has been conducted regarding the
Paper ID #8967Honest Expert Solutions Towards Cognitive ApprenticeshipDr. Sean Moseley, Rose-Hulman Institute of Technology Sean Moseley is an Assistant Professor of Mechanical Engineering at Rose-Hulman Institute of Tech- nology. He received a B.S. from The Georgia Institute of Technology and an M.S. and Ph.D. from the University of California, Berkeley.Ms. Rachel McCord, Virginia Tech Rachel McCord is a graduate student in the Department of Engineering Education at Virginia Tech. She holds a B.S. and M.S. in Mechanical Engineering from the University of Tennessee. Her research interests include engineering students
design of instruction, how we might best design instructional technology within those frameworks, and how the research and development of instructional technologies can inform our theories of cognition. He is also interested in preparing future STEM faculty for teaching, incorporating instructional technology as part of instructional design, and STEM education improvement and reform.Dr. Jon Sticklen, Michigan State University Jon Sticklen is the Director of the Center for Engineering Education Research at Michigan State Uni- versity. He also serves MSU as Director of Applied Engineering Sciences, an undergraduate bachelor of science degree program that is highly interdisciplinary focusing on both engineering and
Paper ID #8649Exploring Engineering Students’ Beliefs on Effort and IntelligenceNora B. Honken, University of Louisville Nora Honken holds degrees in industrial engineering from Virginia Tech and Arizona State University. She will receive a PHD in Education Leadership, Foundations and Human Development from the Uni- versity of Louisville in May 2014. She has held positions in engineering and management for Axxess Technologies, Varian, Amoco and Corning, and has taught in industry, at community college and at the graduate and undergraduate levels. Her research interests include engineering student performance and
Professor of Chemical Engineering at Oregon State University. He received his B.S. and M.S. degrees from UC San Diego and his Ph.D. from UC Berkeley, all in Chemical Engineering. He currently has research activity in areas related engineering education and is interested in integrating technology into effective educational practices and in promoting the use of higher-level cognitive skills in engineering problem solving. His research interests particularly focus on what prevents students from being able to integrate and extend the knowledge developed in specific courses in the core curriculum to the more complex, authentic problems and projects they face as professionals. Dr. Koretsky is one of the founding members of the
strongerthan the two separate main effects combined. In the interviews, one student described an interestin “radios and electronics”. When pushed for an understanding of whether this career interestinvolved engineering or a technology degree, the student did not offer a clear path but describedthe influence of his father (who was an state employee who “works on electronics and radios”): I’ll be shipping out this summer for basic training. And ah, I want to go into radios and electronics. I’ve been around the military my entire life. I’ve moved around, ah, every three years for the last 18 years, and ah, I’m just kind of used to moving around, bouncing around. I’ve been around military bases my whole life so it’s nothing
Flow because they do not introduce the distraction of technology when it is notdirectly related to or in support of student learning.Based on the outcomes from our focus groups, we have several recommendations for otherswishing to use ESM in engineering classrooms. First, do not discount pen/pencil and papermethods. Students might actually prefer such approaches but it will depend on the exact contextof the study. Second, although quantitative-type questions facilitate compilation and analysis ofdata, be sure to leave adequate space for free responses as this was important to focus groupparticipants. However, we recognize that implementation of the pen/pencil and paper method inreal-time could be a complex task even though it is low technology
is a second year doctoral student at the University of Michigan in Higher Education. His research interests focus on organizational communication and curriculum planning in post-secondary education. Page 24.745.1 c American Society for Engineering Education, 2014 Influences on Engineering Instructors’ Emphasis on Interdisciplinarity in Undergraduate CoursesIntroductionSolving many of today’s technological and social challenges will require interdisciplinarythought and action1-5, and the growth of interdisciplinary engineering programs6 suggests that
Paper ID #8586Advanced Student-Centric Learning Practices in Applied Engineering Pro-gramsProf. Ben D Radhakrishnan, National University Prof. Ben Radhakrishnan is currently a full time Faculty in the School of Engineering, Technology and Media (SETM), National University, San Diego, California, USA. He is the Lead Faculty for MS Sus- tainability Management Program. He develops and teaches Engineering Management and Sustainability Management graduate level courses. Ben has taught Sustainability workshops in Los Angeles (Army) and San Diego (SDGE). His special interests and research include teaching methods (specifically
into how students process knowledge when provided withsimulation tools and computational methods for solving design problems. Page 24.582.2IntroductionComputer modeling and simulation are emergent pedagogical tools implemented for teachingconcepts in science, technology, engineering and mathematics (STEM) education. Onepedagogical objective for integrating computer modeling and simulation within learningenvironments is to help students develop deeper understanding of a physical phenomenonthrough visualization and dynamic interaction of abstract concepts or complex systems. Whenmodeling and interacting with numerical simulation, a student must
Paper ID #9938Issues Surrounding a Heutagogical Approach in Global Engineering Educa-tionDr. Yakut Gazi, Texas A&M University In her 20 years of experience as an instructional designer, media specialist, IT consultant, faculty mem- ber, and technology leader, Dr. Yakut Gazi has worked at higher education institutions in the US, Qatar, Turkey, and Spain. Prior to joining TAMU Engineering as the Assistant Vice Chancellor for Engineering Remote Education in September 2013, she led the distributed learning and classroom technology oper- ations at Texas A&M University-Central Texas and worked at A&M’s branch
. Prince M, Felder RM. Inductive teaching and learning methods: Definitions, comparisons, and research bases. Journal of Engineering Education. 2006;95(2):123-138.9. Angelo T, Cross P. Classroom assessment techniques: A handbook for college teachers 2nd ed. San Francisco, CA: Jossey-Bass; 1993.10. Blackburn R, Lawrence J. Faculty at work. Baltimore, Maryland: The Johns Hopkins University Press; 1995.11. Friedrich K, Sellers S, Burstyn J. Thawing the chilly climate: Inclusive teaching resources for science, technology, engineering, and math. In: Robertson D, Nilson L, eds. To Improve the Academy: Resources for Faculty, Instructional, and Organizational Development. San Francisco: Jossey-Bass; 2009.12
Department of Applied Information Technology in the Volge- nau School of Engineering, George Mason University, Fairfax, VA, USA. He studies the use of informa- tion and communication technologies (ICT) for engineering learning and knowledge sharing, with a focus on cognition in informal environments. He is a co-editor of the Cambridge Handbook of Engineering Ed- ucation Research (CHEER), Cambridge University Press (2014). He can be reached at ajohri3@gmu.edu. More information about him is available at: http://mason.gmu.edu/˜ajohri3 Page 24.1110.1 c American Society for Engineering
benefits.As technologies advance, fields become increasingly interdisciplinary, and globalizationcontinues, the need for engineers to be adaptive experts continues to grow.169 The majority ofeducational programs develop routine expertise but fail to address adaptability.169-172 Other fieldshave attempted to ameliorate this deficiency by integrating training, specifically in unpredictableenvironments that offer opportunities to adapt by linking previous knowledge to currentsituations.173,174 Most adaptive expertise studies within engineering have been in bioengineeringand related areas63,74,99-101,103,104,175,176 and have employed the previously mentioned HPL StarLegacy technique,100,101,104,171,176 challenge based instruction,170 and design scenarios
. Hayden, D. & Holloway, E. (1985). A longitudinal study of attrition among engineering students. Engineering Education, 75, 664-668.17. McMaster, J. (1996). Desired attributes of an engineering graduate. Proceedings of the AIAA Advanced Measurement and Ground Testing Technology Conference, New Orleans, LA.18. Osipow, S. H. (1999). Assessing career indecision. Journal of Vocational Behavior, 55, 145-154.19. Imbrie, P. K., & Lin, J-J. (2006). Work in progress: Engineering students’ change in profile over the freshman year across male and female samples: An neural network approach. Proceedings of the 36th ASEE/IEEE Frontiers in Education Conference, San Diego, CA.20. Reid, K. & Imbrie, P. K. (2009