have focused on the evaluation of student success, outreach impacts, innovative learning techniques, and STEM-related interventions and curricula.Dr. Jean S Larson, Arizona State University Jean Larson, Ph.D., is the Educational Director for the NSF-funded Engineering Research Center for Bio- mediated and Bio-inspired Geotechnics (CBBG), and Assistant Research Professor in both the School of Sustainable Engineering and the Built Environment and the Division of Educational Leadership and Innovation at Arizona State University. She has a Ph.D. in Educational Technology, postgraduate training in Computer Systems Engineering, and many years of experience teaching and developing curriculum in various learning
the NCIIA. Besterfield-Sacre’s current research focuses on three distinct but highly correlated areas pf innovative design, entrepreneurship, and modeling. She is an Associate Editor for the AEE Journal.Dr. Natasa S. Vidic, University of PittsburghDr. Karen M. Bursic, University of Pittsburgh Karen M. Bursic is an Assistant Professor and the Undergraduate Program Director for industrial en- gineering at the University of Pittsburgh. She received her B.S., M.S., and Ph.D. degrees in industrial engineering from the University of Pittsburgh. Prior to joining the department, she worked as a Senior Consultant for Ernst and Young and as an Industrial Engineer for General Motors Corporation. She teaches undergraduate
M.S. in mechanical engi- neering from The Georgia Institute of Technology, and a B.S. in engineering from Walla Walla University.David J Therriault, University of FloridaChristine S Lee, University of Florida Page 22.1084.1 c American Society for Engineering Education, 2011 Moving beyond formulas and fixations: Exploring approaches to solving open-ended engineering problemsAbstract Open-ended problem solving is a skill that is central to engineering practice. As aconsequence developing skills in solving such problems is
AC 2011-2205: THE DEVELOPMENT OF AN INSTRUCTIONAL AND AS-SESSMENT TOOL FROM STUDENT WORK ON A MODEL-ELICITINGACTIVITYMicah S Stohlmann, University of Minnesota Micah Stohlmann is a Math Education doctoral student in Curriculum and Instruction at the University of Minnesota where he also received his M.Ed in Math Education. He also is minoring in statistics education. Previously he taught high school math in California and Minnesota. His research interests include STEM integration, cooperative learning, elementary education, and the effective use of technology.Tamara J. Moore, University of Minnesota, Twin Cities Tamara J. Moore is the co-director of the University of Minnesota’s STEM Education Center and an
) for the Academy for Excellence in Engineering Education (AE3) at UIUC. At the national level, she served as the Executive Director of the biomedical engineering honor society, Alpha Eta Mu Beta (2011-2017) and is an ABET evaluator (2018-present).Ms. Angela Wolters, University of Illinois, Urbana-Champaign Director, Women in EngineeringDr. Brian S. Woodard, University of Illinois, Urbana-Champaign Dr. Woodard received his Ph.D. in Aerospace Engineering from the University of Illinois at Urbana- Champaign in 2011. His Aerospace research interests currently focus on the effects of icing on the aero- dynamics of swept-wing aircraft. In engineering education, he is also interested in project-based learning and
, tapping into critical methodologies and methods for conducting and analyzing research, and exploring embodied cognition.Mr. Nelson S. Pearson, University of Nevada, Reno Nelson Pearson is an Ph.D. student at the University of Nevada, Reno. His research interest includes, social networks and the integration of diverse populations, engineering culture as well as engineering pedagogy. His education includes a B.S. and M.S. in Civil Engineering from the University of Nevada, Reno.Mr. Justin Charles Major, Purdue University, West Lafayette (College of Engineering) Justin C. Major is a first-year Engineering Education Ph.D student and National Science Foundation Grad- uate Research Fellow at Purdue University. Justin has two
Paper ID #15608Catalyzing Active Learning: Implementing Active Learning Across an Engi-neering and Science CollegeTracy A. Bibelnieks Ph.D., University of Minnesota DuluthDr. Kristen S. Gorman, University of MinnesotaBrian D. Gute, University of Minnesota Duluth Brian Gute holds B.A. degrees in Chemistry and English from the University of Minnesota Duluth and an M.S. in Toxicology from the University of Minnesota. He is an instructor in the Department of Chem- istry and Biochemistry at the University of Minnesota Duluth where he primarily teaches freshman-level introductory and general chemistry courses. Prior to joining the
. Alistair Cook, Colorado State University PhD Student in Education Sciences focusing on Engineering for Global Development as a context to teach engineering professional skills to undergraduate engineering studentsMs. Melissa D. Reese, Colorado State University Melissa D. Reese received a BS in International Business/Finance and an MBA in Management/Organizational Development from Rochester Institute of Technology in 1998 and 2006, respectively. She is currently the department manager of Electrical and Computer Engineering at Colorado State University.Prof. Zinta Byrne, Colorado State University Zinta S. Byrne is a tenured full professor of psychology at Colorado State University. Her previous careers were as software
Paper ID #16847Inclusive Learning through Real-time Tracking Display of CaptionsDr. Raja S. Kushalnagar, Rochester Institute of Technology Raja Kushalnagar is an Assistant Professor in the Information and Computing Studies Department at the National Technical Institute for the Deaf at the Rochester Institute of Technology in Rochester, NY. He teaches information and/or computing courses, and tutors deaf and hard of hearing students in computer science/information technology courses. His research interests focus on the intersection of disability law, accessible and educational technology, and human-computer interaction. He
(PECASE) for his research in e-textile-based wearable computing.Prof. Joseph M. LeDoux, Georgia Institute of Technology Joe Le Doux is the Associate Chair for Undergraduate Learning and Experience in the Department of Biomedical Engineering at Georgia Tech and Emory University. Dr. Le Doux’s research interests in engi- neering education focus on problem-solving, socio-cognitive aspects of the flipped and blended learning environments and on inclusive pedagogies.Dr. Jeremi S. London, Arizona State University, Polytechnic campus Dr. Jeremi London is an Assistant Professor of Engineering at Arizona State University in the Polytech- nic School. London is a mixed methods researcher with interests in research impact
College at Buffalo; a MEd from Bowling Green State University in Ohio; and a PhD from the University of Minnesota.Dr. Malinda S Zarske, University of Colorado, Boulder Malinda S. Zarske is the Director of K-12 Engineering Education at the University of Colorado Boul- der’s College of Engineering and Applied Science. A former high school and middle school science and math teacher, she has advanced degrees in teaching secondary science from the Johns Hopkins Univer- sity and in civil engineering from CU-Boulder. She is also a First-Year Engineering Projects Instructor, Faculty Advisor for SWE, and on the development team for the TeachEngineering digital library. Her primary research interests are on student identity
l t y P e r s p e
. His research focuses on using computation to elucidate alternatives and tradeoffs in integrated, concurrent product development involving the collaboration of many organizations and experts throughout the world. Page 11.1150.1© American Society for Engineering Education, 2006 Strategies for Integrating Service-Learning into the Engineering Core at the University of Massachusetts Lowell and the Massachusetts Institute of TechnologyAbstractWhile the pedagogy of Service-Learning (S-L) has been applied beneficially in a variety ofdisciplines, only recently have engineering
engineerAbstractIn the fall of 2004 a college with five undergraduate academic programs decided to integrateservice-learning (S-L) projects into required engineering courses throughout the curriculum sothat students would be exposed to S-L in at least one course in each of eight semesters. Theultimate goal is to graduate better engineers and better citizens. Four of the degree programshave achieved on average one course each semester, with an actual coverage of 103 out of 128semester courses, or 80% coverage over the four years. Of the 32 required courses in theacademic year that had an average of 753 students each semester doing S-L projects related tothe subject matter of the course, 19 of the courses (60%) were considered engineering science,that is, not
grounded in SDT has found differences in factorsidentified as important to students in comparison to researcher assessed methods.17-19MethodsTo guide our research, we used case study methods20, 21 in combination with the self-determination theoretical framework. In our work, each participant represents a case and weanalyze within and across cases.22 The cases include eleven engineering students at apredominantly technical school (TPub) in the western mountain region of the United States.TPub is a public research university devoted to engineering and applied science. Approximately2,500, or 75 percent, of the 3,300 students are undergraduates, and about 80 percent ofbachelor‟s degrees earned annually are in engineering. Data for this study include
“+” became a “–” or a “4” became a “9” forexample).The results of the error classification algorithm are shown in Table 4. Error Description ) Acceleration Sign 3 0 33 0.60 1.00 1.00 0.82 m m s Balance of Forces 10 20 27 1.00 0.14 1.00 0.71 m m m Angle 10 20 21 1.00 0.14 0.98 0.71 m m m Substitution 10 10 13 1.00 0.46 0.85 0.78 m m m Missing “a” in MAD 9 20 7 0.99 0.14 0.56 0.61 m m m Missing dir./units 1 20 6 0.22 0.14 0.49 0.26 s s s Mixing up
, proposing a conceptualmodel of the factors that influence global competency levels, and also identifies the baselinelevels of global competency for benchmarking. The resulting conceptual model and globalcompetency measures will be useful toward larger scale inquiries to evaluate how participationin study abroad programs, international experiences, culturally-relevant curricula, and otherrelated activities can contribute to changes in students’ ability to work in diverse environments.The Miville-Guzman Universality-Diversity Scale short form (MGUDS-S) measures the“universe-diverse orientation” construct, which “reflects an attitude of awareness of both thesimilarities and differences that exist among people”2. Higher MGUDS-S scores have
Page 13.507.1© American Society for Engineering Education, 2008 Engineering Faculty Attitudes toward Service-LearningAbstractSLICE is a multi-year initiative at the University of Massachusetts Lowell (UML) that isdesigned to embed service-learning opportunities for students throughout the undergraduatecurriculum in the College of Engineering, with the ultimate goal that each student would have atleast one course every semester with a service-learning project. Since it began in 2004, thirty-seven full-time faculty members in the engineering college at UML have tried service-learning(S-L) in at least one of their courses over the last three years, out of an average of 70 facultymembers who taught undergraduate courses. In 2003
2In fact, the domain of integration should be the domain for which both g(t − τ ) and u(τ ) arenon-zero.Participant S59’s response could better illustrate this participant reasoning. Participant S59obtained the same expression that participants S02 and S24 obtained for y(t), but his writtensolution was more elaborate and indicative of the reasoning underlying his response. He wrote: ∞ y(t) = g(t − τ )u(τ ) dτ −∞ −1 2 = g(t − τ )u(τ ) dτ + g(t − τ )u(τ ) dτ −∞ −1
at a private, research I universitycompleted surveys asking about their perceptions of norm-referenced exams with means in the 20’svs. those with means in the 60’s.The results overwhelmingly show that students found exams with means in the 20’s—but not thosewith means in the 60’s—discouraging and as evidence of bad and uncaring teaching. Studentsreceiving an “A” for exam scores in the 30’s were unlikely to feel proud of their accomplishment andwere highly unlikely to feel that they had learned what the instructor expected. These same students,however, did feel proud when an “A” was based upon an exam score in the 80’s. Students were alsomore likely to consider cheating and were less motivated to study when the median score was in the20
context k. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practiceAssessment methods other than the FE exam are more suitable for ABET criteria (b), (c), (d),(g), (i), and (j). Table 2 shows how our FE metric is embedded with other metrics in ourassessment program. The letters “P” and “S” designate primary and secondary metrics,respectively. Secondary metrics are recorded and archived; however, they are not used forreporting purposes unless the primary metric is incomplete or equivocal. Our metrics are: SES: Senior Exit Survey FE: Fundamentals of Engineering (FE) Exam CDSA: Capstone Design Sponsor Assessment CRSW: Comprehensive Review of Student Work
one sability to contribute to the level of their talent is an ethical and professional responsibility to thefield.This paper shares some early results from our broader NSF-funded project, titled Identif ingMarginalization and Allying Tendencies to Transform Engineering Relationships, or I-MATTER. The project s research questions are: 1. What does marginalization look like within engineering classrooms where teamwork is a primary feature? 2. How is marginalization legible (or not) to instructors at the classroom level? 3. What are the different ways that instructors respond to incidents of peer-to-peer marginalization? 4. How might the lessons of this work be implemented to systematically alert instructors when
formulatedinterventions to aid these populations (e.g., [5]–[7]), few have adequately questioned the metric ofsuccess itself: retention. To be specific, “retention” tracks only the percentage of students whobegin their undergraduate career in a chosen major and successfully matriculate, which may be toocoarse of a measure for several reasons: 1. It counts students who switch out of a STEM major and flourish within a new major as failures (cell “L+” in Figure 1). 2. It counts students who remain within their originally declared STEM major but flounder academically, dislike the material, or do not envision themselves pursuing a career in the field after graduation as successes (cell “S-” in Figure 1). 3. It ignores students who transfer into a
Division of ASEE and guest co-editor for a spe- cial issue of the International Journal of Engineering Education on applications of engineering education research.Trevor Scott Harding, California Polytechnic State University Dr. Trevor S. Harding is Chair and Professor of Materials Engineering at California Polytechnic State UniversitySan Luis Obispo where he teaches courses in biomaterials, solidification metallurgy, tribology and life cycle design. Dr. Harding has published numerous manuscripts in the area of ethical development of engineering undergraduates through application of psycho-social models of moral expertise. He also conducts research in student motivation, service learning, and project-based learning. His
about 40%. 1028 1026 959 962 926 1117 1160 1179 1227 1196 989 1114 1164 100 90 s Enroll Calculus I t 80 P u Pass Calculus I e d C 70 r e a Enroll Calculus II c n l 60 e t c Pass Calculus II n s u t 50 l a s Enroll Multi‐ u g t 40
1.210 Using VR helped provide a better overview of the content. 134 3.51 1.237 Using VR helped to identify the critical concepts from topics in the lesson(s). 134 3.52 1.225An important aspect of the VR lesson design was usability including opportunities for interactionwith the lesson. All the 10-items of this dimension registered mean responses in the direction ofagreement with the items (Table IV). The responses indicated the user interface was userfriendly. The average of the responses was highest for the ability to review the lesson andunderstand the mistakes.Table IV: VR Lessons Usability (N = number of respondents, SD = standard deviation) Overall, I am satisfied with how easy it was to understand
Scholarships inSTEM (S-STEM) project. Our purpose in sharing our current situation is to gain feedback fromcolleagues experienced with projects of this size and type on how to effectively make midstreamcorrections to design-based methods in ways that maintain research and project fidelity. Duringthe 2019-20 academic year, the first year of the project, we created tools and procedures for datacollection and analysis that we piloted in Spring 2020 with the first cohort of students toparticipate in the S-STEM program. With regard to supporting undergraduate students, the planfor this multi-year, grant-funded project is to scale each year, along with increasing the size ofparticipant cohorts, through the fifth and final year of the project. As a two
Might be Repaired through Inquiry Based Activities Gina C. Adam, Brian P. Self, James M. Widmann, Alexa Cobrun, Baheej N. SaoudIntroductionUndergraduate dynamics is often cited as one of the most difficult courses that engineeringstudents must take because many of the topics are in direct conflict with their perception of theworld around them. Newton‟s laws of motion are fundamental to the study of dynamics andstudents are particularly prone to having misconceptions drawn from their daily life interactionwith moving objects. An apple may fall from a tree to the ground faster than a leaf (althoughthey have the same acceleration in the absence of air resistance); two football players maycollide and the smaller
that ourapproach can be replicated in other fields and other student populations.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grants1842166 and 1329283. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. We thank the SPHERE research group for their helpful feedback.References[1] S. Kovalchuk, M. Ghali, M. Klassen, D. Reeve, and R. Sacks, “Transitioning from university to employment in engineering: The role of curricular and co-curricular activities,” in 2017 ASEE Annual Conference & Exposition, 2017.[2] R. Korte, S. Brunhaver, and S. Zehr
. 4References:[1] R. Albert, H. Jeong, and A.-L. Barabási, "Error and attack tolerance of complex networks," nature, vol. 406, pp. 378-382, 2000.[2] R. Albert and A.-L. Barabási, "Statistical mechanics of complex networks," Reviews of modern physics, vol. 74, p. 47, 2002.[3] M. E. Newman, "The structure and function of complex networks," SIAM review, vol. 45, pp. 167-256, 2003.[4] S. H. Strogatz, "Exploring complex networks," Nature, vol. 410, pp. 268-276, 2001.[5] S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, and D.-U. Hwang, "Complex networks: Structure and dynamics," Physics reports, vol. 424, pp. 175-308, 2006.[6] S. V. Ukkusuri, R. Mesa-Arango, B. Narayanan, A. M. Sadri, and X. Qian, "Evolution of