AC 2012-3947: DEVELOPMENT AND DEPLOYMENT OF A RUBRIC BASEDON FINK’S COGNITIVE DIMENSIONS IN A FLUID MECHANICS ANDHEAT TRANSFER CLASS WITH POTENTIAL APPLICATIONS IN A VA-RIETY OF ENGINEERING CLASSESMr. Baba Abdul, Washington State University Baba Abdul obtained an M.Sc. in chemical engineering from the Ahmadu Bello University (ABU), Zaria, Nigeria, in 2005, and has had some work experience in the chemical process industries, mainly crude oil processing, refining, and solids processing. He is currently working on a Ph.D. that includes elements of fluid mechanics in small helicosymmetric channels and engineering education.David B. Thiessen, Washington State UniversityProf. Bernard J. Van Wie, Washington State University
AC 2012-5005: ASSESSMENT OF STUDENT’S CONFIDENCE OF LEARNEDKNOWLEDGEProf. Kyle B. Reed, University of South Florida Kyle Reed is an Assistant Professor in the Department of Mechanical Engineering at the University of South Florida. He performs research on human-robot interaction, rehabilitation robotics, haptics, medical robotics, and engineering education. He received his B.S. in mechanical engineering from the University of Tennessee, Knoxville, in 2001, his master’s (2004) and Ph.D. (2007), both in mechanical engineering, from Northwestern University and was a Postdoctoral Fellow at the Johns Hopkins University. More information on his research can be found at his research lab website: http://reedlab.eng.usf.edu
AC 2012-3337: IN SEARCH OF THE ENGINEERS OF 2020: AN OUTCOMES-BASED TYPOLOGY OF ENGINEERING UNDERGRADUATESMr. David B. Knight, Pennsylvania State University, University Park Page 25.757.1 c American Society for Engineering Education, 2012 In Search of the Engineers of 2020: An Outcomes-Based Typology of Engineering UndergraduatesIntroductionLooking toward the globalized future, the National Academy of Engineering outlined a strategyin The Engineer of 2020: Visions of Engineering in the New Century1 that describes thecharacteristics and skills that will be required for graduating engineering students to
AC 2012-2959: PREPARING THE ENGINEER OF 2020: ANALYSIS OFALUMNI DATAIrene B. Mena, Pennsylvania State University, University Park Irene B. Mena has a B.S. and M.S. in industrial engineering, and a Ph.D. in engineering education. Her research interests include first-year engineering and graduate student professional development.Dr. Sarah E. Zappe, Pennsylvania State University, University Park Sarah Zappe is the Director of Assessment and Instructional Support in the College of Engineering at Penn State University. In this role, she provides support to faculty in trying innovative ideas in the classroom. Her background is in educational psychology with an emphasis in applied testing and measurement. Her current
. Figure 2 O the 294 awaards reviewedd, approximattely half of thhem containedd Forms of Cyyberlearning (see Of (Table 1). Moreover, Fiigure 3 revealls which Form ms of Cyberleearning are ussed by each diiscipline. Bassed ona quick gllance, four infferences can be b made. Onee, all disciplinnes have at least two formss of cyberlearrningamong theeir awards. Seecondly, the representation r n of cyberlearrning varies across a discipliines, withEngineeriing, Computin
technical report of 6 pagesmaximum. (a) (b)Figure 1. Students are preparing (a) and conducting (b) the experiment to measure propulsive force generated by a chemical reaction and exhaust of water. Page 25.588.5The outline of the report is predefined by the didactic team. Furthermore the students arereminded of the feedback they received on their literature assignments and of the guidelineson writing style in the manual of the course.The report is graded by the didactic team on the content as well as the writing style. Thestudent teams receive feedback on
AC 2012-4488: EVOLVING A RUBRIC FOR USE IN ASSESSING ENGI-NEERING GRADUATE ATTRIBUTES IN A STUDENT SENIOR RESEARCHTHESISMr. Alan Chong, University of Toronto Alan Chong is a Senior Lecturer in the Engineering Communication program at the University of Toronto, housed in the Faculty of Applied Science and Engineering, where he teaches technical communication to undergraduate engineering students. He has spent the last five years working with engineering faculty to conduct research on and develop integrated courses in engineering design, research and communication, focusing on designing tools for better assessment and instruction, and improving students’ critical thinking skills.Ms. Lisa Romkey, University of Toronto
AC 2012-5094: EXPLORING THE EFFECT OF DESIGN EDUCATIONON THE DESIGN COGNITION OF SOPHOMORE ENGINEERING STU-DENTSDr. Christopher B. Williams, Virginia TechDr. Marie C. Paretti, Virginia Tech Marie C. Paretti is an Associate Professor of engineering education at Virginia Tech, where she co-directs the Virginia Tech Engineering Communications Center (VTECC). Her research focuses on communica- tion in engineering design, interdisciplinary communication and collaboration, and design education. She was awarded a CAREER grant from NSF to study expert teaching practices in capstone design courses nationwide, and is Co-PI on several NSF grants to explore identity and interdisciplinary collaboration in engineering design.Mr
AC 2012-4747: DECIPHERING STUDENT IDEAS ON THERMODYNAM-ICS USING COMPUTERIZED LEXICAL ANALYSIS OF STUDENT WRIT-INGDr. Luanna B. Prevost, Michigan State University Luanna Prevost is a Postdoctoral Research Associate at the Center for Engineering Education Research (CEER) at Michigan State University. She is a member of the Automated Analysis of Constructed Responses program, an NSF-funded cross-institutional collaboration of interdisciplinary science, tech- nology, engineering, and mathematics (STEM) education researchers interested in exploring the use of automated text analysis to evaluate constructed-response assessments. Her research activities focus on instructional material development, learning assessment, and
-2011 with no awardavailable in 1976, 1977, and 1980, as illustrated in Figure 2(a). Among all these proposals, thereare 517 proposals from DGE, 894 from DRL, 4,603 from DUE, and 1,718 from EEC, as shownin Figure 2(b). The metadata downloaded from nsf.gov contains the following fields: title,abstract, PI, co-PI, awarded institution, award revision date, active period, award amount,directorate, NSF organization, and NSF program. Note that NSF does not make proposal fulltexts available to the public. Number of selected awards in each year Number of selected awards from each
the subject university in assessing ABET outcome 3j. A distinction is made between awareness/knowledge of the issues (J1) and of their broader impacts (J2).2010-11 Case Study: Lithium Mining for Li-Ion Electrical Vehicle BatteriesFor the first implementation of the module, the author selected and revised a case study from alist of prepared scenarios by Ater Kranov et al. (2008 & 2011) (Appendix B of [6]). The revisedcase study (presented here in Appendix A) describes the then-current (2010) state of electricvehicle production, the quantities of lithium involved in lithium-ion battery production, and the Page
signals of anelectrocardiogram (ECG) in biomedical applications; Romero, Touretzky, and Thibadeau11applied PNNs to Chinese Optical Character Recognition (OCR). Haque and Sudhakar12 appliedANN Back-propagation (BP) to predict fracture toughness in micro alloy steel.The author believes that an artificial neural network (ANN) model can similarly be trained toclassify the correlation between student performance (pass/fail or grades A, B, C, D, F) andexternal factors. Hence, the author’s objective of this research was to implement a ProbabilisticNeural Net (PNN) based Genetic Algorithm model to determine the effect of absenteeism onoverall student grade performance in his Structural Systems II course.Research MethodologyCourse and Study PopulationThe
as research into different distance education delivery methods and theirassociated impacts on the spatial ability of students.Bibliography 1. Allen, E., & Seaman, J. (2008). Staying the Course: Online Education in the United States. Needham MA: Sloan Consortium. 2. Allen, E., & Seaman, J. (2010). Learning on Demand: Online Education in the United States, 2009. Needham MA: Sloan Consortium. 3. Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. 4. Ma, J., & Nickerson, J. (2006). Hands-on, simulated, and remote laboratories: A comparative literature review. ACM
company has many 0 hour late times but all the late times are extremely big. … And the dataset2 i created emphasize a situation in which the shipping company has rarely any 0 late times…” [Student 2680] “Dataset A: is very unique because there are very small standard deviations from the mean. …Dataset B: there are many delays but very consistent and in the same range.” [Student 2736] “…I create two columns data sets which have more non-late data and small late hours number. …” [Student 2717]Four students provided a somewhat more quantitative description of their data sets. However,their quantification was often tied to the way in which the data set was generated and not to theresulting data set. “The two data sets were generated
percentage of students fromthe experimental group earned A and B grades on the final exam, and a smaller group earned Dand F grades.The percentage increase in A grades from the control group to experimental group was 75%(control – 8%, experimental – 14%) and for B grades the percent increase was 31% (control –16%, experimental – 21%). Commensurate with the increase for the A and B grades, there was acorresponding decrease in the D and F grades. The percent decrease in D grades from thecontrol group to experimental group was 14% (control – 14%, experimental – 12%) and for Fgrades, the percent decrease was 30% (control – 30%, experimental – 21%). Interestingly, the
- examination of the role of knowledge in learning and instruction. Educational Psychologist, 31, 89-92.31. Vosniadou, S., & Brewer, W. F. (1987). Theories of knowledge restructuring in development. Review of Educational Research, 57, 51-67.32. Buehl, M., & Alexander, P. A. (2001). Beliefs about academic knowledge. Educational Psychology Review, 13, 385-418.33. Hofer, B. K. (2000). Dimensionality and disciplinary differences in personal epistemology. Contemporary Educational Psychology, 25, 378-405.34. Vosniadou, S. (2002). On the nature of naive physics. In M. Limon & L. Mason (Eds.), Reconceptualizing conceptual change. Issues in theory and practice (pp. 61-76). Dordrecht, The Netherlands: Kluwer Academic.35. Vosniadou
, 2011.10. B. M. Moskal, C. Skokan, D. Munoz and J. Gosink, "Humanitarian Engineering: Global Impacts and Sustainability of a Curricular Effort," International Journal of Engineering Education, vol. 24, no. 1, pp. 162- 174, 2008.11. S. Schwartz, "Normative influences on altruism," Advances in experimental social psychology, vol. 10, pp. 221- 279, 1977.12. S. H. Schwartz and J. A. Howard, "Helping and Cooperation: A Self-Based Motivational Model," in Cooperation and Helping Behavior: Theories and Research, New York, Academic Press, Inc., 1982, pp. 327- 353.13. J. Ramsey, "A Curricular Framework for Community-Based STS Issue Instruction," Education and Urban Society, vol. 22, no. 1, pp. 40-53, November 1989.14. J. Ramsey, "The
particular emphasis on issues of design context. She is a Fellow of AAAS and ASEE, was the 2002 recipient of the ASEE Chester F. Carlson Award for Innovation in Engineering Education, and received the 2009 UW David B. Thorud Leadership Award.Dr. Sheri Sheppard, Stanford University Sheri Sheppard, Ph.D., P.E., is professor of mechanical engineering at Stanford University. Besides teach- ing both undergraduate and graduate design and education-related classes at Stanford University, she con- ducts research on weld and solder-connect fatigue and impact failures, fracture mechanics, applied finite element analysis, and engineering education. In addition, from 1999-2008, she served as a Senior Scholar at the Carnegie
. Chowdhury, B., Learning to Learn - Concepts in a First Power Engineering Course. IEEE Transactions on Power Systems, 2004. 19(1): p. 31-39.11. Hestenes, D., M. Wells, and G. Swackhamer, Force Concept Inventory. The Physics Teacher, 1992. 30(3): p. 141-158.12. Martin, J., J. Mitchell, and T. Newell. Development of a Concept Inventory for Fluid Mechanics. in 33rd Annual Frontiers in Education Conference. 2003.13. Midkiff, K., T. Litzinger, and D. Evans. Development of Engineering Thermodynamics Concept Inventory Instruments. in 31st Annual Frontiers in Education Conference. 2001. Reno, NV.14. Redish, E. and K. Smith, Looking Beyond Content: Skill Development for Engineers
design to function as intended, (b) presence of major errors in analysis orassumptions, (c) presence of minor calculation errors, and (d) performance metric. The top tworanked designs from each review advance to the next round; the advancing designs are resortedand passed on to other teams for evaluation and ranking. Extra (duplicate) posters are distributedto teams as needed as the number of remaining designs decreases. The process is repeated for atotal of three rounds, after which the “winner” of the Design Tournament is recognized.In-Class Activity 3: Hot Seat DebateThe Hot Seat Debate has been used successfully in both MECH 223 and MECH 325. In thecourse work leading up to this activity, teams develop a solution to a supplied design
and adoption rates in U.S. engineering departments Journal of Engineering Education, 2010. 99(3): p. 185-207.12. Prince, M. and R.M. Felder, Inductive teaching and learning methods: Definitions, comparisons, and research bases. Journal of Engineering Education, 2006. 95(2).13. Wieman, C., K. Perkins, and S. Gilbert, Transforming science education at large research universities: A case study in progress. Change: The Magazine of Higher Learning, 2010. March- April.14. University System of Maryland, Change and sustainability in higher education: Final report. 2010.15. Borrego, M. and B. Olds, Analysis of trends in United States National Science Foundation funding of engineering education: 1990-2010, in
. Nashville: Vanderbilt University Press.Meisenbach, R. J. (2008). Working with tensions: Materiality, discourse, and (dis)empowerment in occupational identity negotiation among higher education fund-raisers. Management Communication Quarterly, 22, 258-287.Norander, S., Mazer, J. P., & Bates, B. R. (2011). “D.O. or die:” Identity negotiation among osteopathic medical students. Health Communication, 26, 59-70.Patton, M. Q. (2002). Qualitative research and evaluation methods. Thousand Oaks, CA: Page 25.371.21 Sage Publications.Somers, M. R. (1994). The narrative constitution of identity: A relational and network approach
AC 2012-3730: CREATING LOW-COST INTRINSIC MOTIVATION COURSECONVERSIONS IN A LARGE REQUIRED ENGINEERING COURSEDr. Geoffrey L. Herman, University of Illinois, Urbana-Champaign Geoffrey L. Herman earned his Ph.D. in electrical and computer engineering from the University of Illi- nois, Urbana-Champaign as a Mavis Future Faculty Fellow. He is currently a Postdoctoral rRsearcher for the Illinois Foundry for Engineering Education. His research interests include conceptual change and development in engineering students, promoting intrinsic motivation in the classroom, blended learning (integrating online teaching tools into the classroom), and intelligent tutoring systems. He is a recipient of the 2011 American Society for
environment.Three principles conceptualized business incubation as developmental processes for change: a)incubators which tend to facilitate successful transitions to self-sustaining enterprises shieldideas from forces that threaten viability while simultaneously mimicking the sense of urgencyand external pressures that foster independence; b) the most effective incubators areopportunistic and able to successfully assist in the identification and navigation of environmentalconstraints; c) beneficial incubation processes recognize situational influences in theenvironment and support alignment to the real world. 19 The theory of Maital, Ravid, Seshadri, & Dumanis 19 is important because incubation isconceived broadly as an organizational change
deeply into these two areas through applying self-authorship as a lens to otherpedagogies.Bibliography 1. National Academy of Engineering of the National Academies. (2004). The Engineer of 2020: Adapting Engineering Education to the New Century. Washington, D.C.: The National Academies Press. 2. National Research Council. (2009). Rising Above the Gathering Storm Two Years Later: Accelerating Progress Toward a Brighter Economic Future. Washington, D.C.: The National Academies Press. 3. The Royal Academy of Engineering. (2006). Educating Engineers for the 21st Century. London: The Royal Academy of Engineering. 4. Turns, J., Sattler, B., Eliot, M., Kilgore, D., & Mobrand, K. (in press). Preparedness
Conference, Savannah, GA., 2004.5. Lesh, R., Hoover, M., Hole, B., Kelly, A., and Post, T., "Principles for developing thought-revealing activities for students and teachers," Handbook of Research Design in Mathematics and Science Education, Mahwah, NJ: Lawrence Erlbaum, pp. 591-645, 2000.6. Yildirim, T.P., Shuman, L., and Besterfield-Sacre, M., “Model-Eliciting Activities: Assessing Engineering Student Problem Solving and Skill Integration Processes,” International Journal of Engineering Education, Vol. 26, No. 4, pp. 831–845, 2010. Page 25.1428.18
Education. 37. Lawanto, O. and S. Johnson. Students' cognitive self‐appraisal, self‐management, and the level of difficulty of an engineering design project: Are they related? in 2009 ASEE Annual Conference and Exposition, June 14, 2009 ‐ June 17, 2009. 2009. Austin, TX, United states: American Society for Engineering Education. 38. Harper, B. and P. Terenzini. The effects of instructors' time in industry on students' co‐curricular experiences. in 2008 ASEE Annual Conference and Exposition, June 22, 2008 ‐ June 24, 2008. 2008. Pittsburg, PA, United states: American Society for Engineering Education. 39. Strayhorn, T. Measuring the educational benefits of diversity in STEM education: A multi
according to certain ideas studentsexpressed. Later for each cluster, facets were organized as: (a) appropriate or acceptableunderstanding for introductory physics, (b) arising from formal instruction, but eitherovergeneralized or undergeneralized in application, or (c) more problematic and needinginstructional intervention to prevent student difficulty with the cluster or ideas in relatedclusters.7 In summary, Minstrell recommends the use of qualitative research strategies, such asopen-ended interviews, focus groups, or think-alouds, to diagnose students’ misconceptions.Fusion ModelThe Fusion Model is a statistical technique that models student response behavior by both abinary attribute (mastery or non-mastery) and a continuous attribute (mastery
AC 2012-3418: GRADUATE STUDENTS MENTORING UNDERGRADU-ATES IN RESEARCH: ATTITUDES AND REFLECTIONS ABOUT THESEEXPERIENCESMs. Janet Y. Tsai, University of Colorado, Boulder Janet Y. Tsai is a doctoral student at the University of Colorado, Boulder, whose work examines and develops initiatives and curricular innovations to encourage more students, especially women, into the field of engineering. In addition to assessing peer mentoring programs, Tsai also explores teaching engi- neering statics through tangible sensations in the body, to feel and understand forces, moments, couples, equilibrium, and more via internal constructs instead of the conventional external examples.Dr. Daria A. Kotys-Schwartz, University of Colorado
AC 2012-4659: CHALLENGES TO ENSURING QUALITY IN QUALITA-TIVE RESEARCH: A PROCEDURAL VIEWDr. Joachim Walther, University of Georgia Joachim Walther is an Assistant Professor of engineering education research at the University of Geor- gia (UGA). He is Co-director of the Collaborative Lounge for Understanding Society and Technology through Educational Research (CLUSTER), an interdisciplinary research group with members from en- gineering, art, educational psychology, and social work. His research interests span the formation of students’ professional identity, the role of reflection in engineering learning, and interpretive research methods in engineering education. He was the first international recipient of the ASEE