, P., “Finite Element Learning Modules for Undergraduate Engineering Topics using Commercial Software,” Mechanical Engineering Division, Proceedings of the 2008 American Society of Engineering Education (ASEE) Annual Conference & Exposition, Pittsburg, PA, June 22-25, 2008.2. Brown, A., Wood, K., Kaufman, K., Jensen, D., Rencis, J.J., and White, C., “A Novel Assessment Methodology for Active Learning Modules to Equitably Enhance Engineering Education,” Proceedings of the 2009 American Society for Engineering Education (ASEE) Annual Conference & Exposition, Austin, TX, June 14-17, 2009.3. Coffman, J., Liu, J., Brown, A., Terdalkar, S., and Rencis, J., “Finite Element Learning Module for
Society for Engineering Education Annual Conference and Exposition.4. Dym, C., Agogino A., Eris, O., Frey, D., and Leifer, L., “Engineering Design Thinking, Teaching, and Learning,” Journal of Engineering Education, Jan. 2005.5. Ford, R., and Coulston C., Design for Electrical and Computer Engineers, McGraw-Hill, 2008.6. Ulrich, K., and Eppinger S., Product Design and Development, 4th Ed., McGraw-Hill, 2008. Page 15.496.77. Hanson, D., Instructor’s Guide to Process-Oriented Guided-Inquiry Learning, Stony Brook University.
derived from the Self-Regulated Learning in Technologyeducation (SRLT) model. The current findings indicate that technology educatorsaccept and support the proposed reform. We feel that collaboration between universityexperts, the teachers and Ministry of Education supervisors has been a key factor inachieving the desired goals.References1. Thomas, J. W. (2000). A review of research on project-based learning, Autodesk, San Rafael, CA. Retrieved March 15, 2009, from http://www.bie.org/files/researchreviewPBL.pdf2. Barak, M., (2002). Learning good electronics, or coping with challenging tasks? Priorities of excellent students, Journal of Technology Education, 14(2), 20-34.3. Blumenfeld, P. C., Soloway, E., Marx, R. W., Krajcik, J. S
, according to Marchese and others, is an elusive goal. This paper explains a techniquedeveloped and implemented by several Civil Engineering faculty members teaching structuralmechanics, analysis, and design at the United States Military Academy in the Spring, 2009 andthe Fall, 2009 terms to encourage mastery of critical skills and transfer of these skills tosubsequent courses. The concept is called “Problem Set Zero” to stress the fact that the materialbeing evaluated is from the prior course(s) and must be mastered before a student beginsProblem Set One.1. Introduction1.1 Curriculum Structure A common feature of Civil Engineering and other curricula is the establishment ofprerequisite courses which allow students to progress from basic math
collaborations begun at the symposium and whether theywill complete their innovation projects, although several virtual meetings of attendees have beenconducted. Bibliography1. Sheppard, S. D., Macatangay, K., Colby, A., & Sullivan, W. M. (2009). Educating engineers: Designing for the future of the field. The Carnegie Foundation for the Enhancement of Teaching. Hoboken, NJ: Jossey-Bass. Page 15.1064.7
Engineering”, McGraw Hill, 2008.5. A. Hambley, “Electrical Engineering, Principles and Applications”, 4th Edition, Prentice Hall, 2007.6. W. Hayt, J. Kemmerly, S. Durbin, “Engineering Circuit Analysis”, 7th Edition, McGraw Hill, 2008. Page 15.1357.8
", 2nd ed., Princeton University Press, 1957.5. P. Kohl and N.D. Finkelstein, "Patterns of Multiple Representation Use by Experts and Novices during PhysicsProblem Solvings" in Phys. Rev. ST Physics Ed. Research 4, 010111, 2008.6. A. H. Schoenfeld, “What’s All The Fuss About Metacognition?” in Cognitive Science and Mathematics p. 187.Erlnaum, Hillsdale, NJ, 1987.7. Lohmann, S., Ziegler, J., and Tetzlaff, L. "Comparison of Tag Cloud Layouts: Task-Related Performance andVisual Exploration." In Proceedings of the 12th IFIP TC 13 international Conference on Human-Computerinteraction: Part I (Uppsala, Sweden, August 24 - 28, 2009) Page
importantly, our graduates are finding a flattering reflection of their active-learning educational experience in the integration-rich workplace. Architecture is amultidisciplinary field of study that draws on many areas of study. Architecture education mustsuccessfully involve the integration of art, engineering, business, sustainability, and otherdisciplines.References≠ Nicol, D., and Pilling, S., “Changing Architectural Education”, E & FN Spon Press.≠ Boyer, E. and Mitgang, L., “Building Community, A New Future for Architectural Education and Practice”, Carnegie Foundation for the Advancement of Teaching.≠ Kirby, J., Ozcan, H., and Fouad, F., “Sustainability in Engineering and Architecture Design”, Proceedings 2008 ASEE
reported here is a follow-upquestion to a short-answer question. (The short answer question asked those students who wereplanning on continuing in engineering to list their primary reason(s) for pursuing engineering.)The follow-up question asked students to state their level of agreement with this statement:“This class reinforced my decision to continue in engineering.” The average score for the oldcourse was 2.72 (n = 294) and improved to 2.15 (n = 60) for the new course. A 2-sample t-testresulted in a P-Value of 0.000; Cohen’s d equaled 0.57. The significant improvement in student responses begs the question: “is the new courseeasier?” That is, are students more favorable about the course because it is easier? Table 1shows that the grades
strongcommunication skills to effectively communicate technical issues to productdesigners. The desired outcomes of the test engineering graduate certificate wereadopted from ABET’s (a) through (k) outcomes6 shown in Table 1. Table 1 Test Engineering Graduate Certificate Learning Outcomes6 Outcome 1 The application of circuit analysis and design, computer programming, associated software, analog and digital electronics, and microcomputers to the building, testing, operation and maintenance of electrical/electronic(s) systems using laboratory equipments an Automatic Test Equipment (ATE). (ABET 8.a) Outcome 2 An appropriate mastery of the knowledge, techniques, skills and
Time, [s] 4 30 3 25 20PSD 2 CPSD 15 10 1 5 0 0 0 5 10 15 20 25 0 5 10 15
functional mini-desktopCNC machine. The assessment of the Capstone design experiment indicated that the six programoutcomes achieved levels of 80 to 93%.References: 1. “ABET Criteria for Accrediting Engineering Programs”, Effective for Evaluations During the 2007-2008 Accreditation Cycle. WWW.ABET.org 2. J. Ansari, A. Javaheri, S. Tompkins, K. Williamson, “OUTCOME ASSESSMENT PROCESS IN A MANUFACTURING ENGINEERING PROGRAM”, Proceedings of the 2008 ASEE Annual Conference and Exposition. 3. J. Ansari, A. Javaheri, N. Ghariban, “CIM LAB TO SUPPORT MANUFACTURING DESIGN IMPLEMENTATION”, Proceedings of the 2007 ASEE Annual Conference and Exposition
. Page 15.291.10AcknowledgementsThis material was supported by a National Science Foundation grant no. 0935211. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Rampersad, H.K., Integrated and simultaneous design for robotic assembly, Chichester, England: Wiley, 1994.2. Hsieh, S. (2005). "Automated Manufacturing System Integration Education: Current Status and Future Directions," Proceedings of the 2005 ASEE Annual Conference & Exposition, Portland, OR. Page 15.291.11
) distributedhandouts of Linksman’s characterizations and recommendations for each super link.Also in this study, (5) students were shown previous student projects submitted in the earlierMATH 131 courses to introduce each new topic visually and (6) were required to complete amuch more comprehensive project component (hence the term Project-Directed Mathematics).The authors discovered that students’ documented super links did not confirm the previousassumption, that most designstudents by nature would be visual 2 0 0 6 - 2 0 0 7 M ATH 1 3 1 St u d e n t s' Le a r n in g Pr e f e r e n ce sor tactile right-brained learners, thus ( n = 37
were selected: The Journal of EngineeringEducation, Advances in Engineering Education, and the International Journal of EngineeringEducation. These journals were selected for their engineering education specific audience andfull article content availability online. Selection criteria for the articles included theclassification of the article as “mixed methods” by the author(s) or by the specific mention ofqualitative and quantitative data collection in the abstract. Following an initial review of thearticles in each publication, the sample (nine articles) was insufficient to fully characterize mixedmethods research in the field. In light of this an internet search was conducted for additionalengineering education research articles featuring a
the Dun and Dun Learning Style Model. (11)The MBTI, based on Jung’s theory, has been popular in explaining differences inlearning for normal people. The dimension of most interest for learning is sensing (S)versus intuitive (N) type. (12) The sensing person prefers a straightforward, logical, step-by-step approach to learning. The sensing person, often learns by solving problems, andtends to find theory difficult. The intuitive individual, on the other hand, will skip stepsand follow hunches. He /she learns from theory and tends to do a minimal number ofproblems because they think they understand without having to solve problems. (13)Perry’s Model of College Student Development (14) can also be used to monitor studentlearning. According to
handwritten homework to assess students' presentation skills. This isrelatively easy in lower enrollment courses (30-36 students) in which professors can oversee theproblem solving process. Some (like ourselves) have the ability to teach at smaller schools andthere are ways to use hybrid approaches of online and handwritten homework to assess andinstill the importance of effective technical communication. We are not sure what the solutionwill be in large enrollment courses.References[1] Kolowich, S., "A Truce on the Tech Front at San Jose State", The Chronicle of Higher Education, 2013.[2] Rose, A.T.," Graphical Communication Using Hand-Drawn Sketches in Civil Engineering", Journal of Professional Issues in Engineering Education &
single iteration of the MDM structure. The “final report” for this stagepertains to only this stage and will not contain a self-reflection statement. It is however expectedto contain a discussion and proposal of alternative design process and parameters. Thesealternatives, that may prove more efficient and or lead to better filters, are to be discussed withreference to some figure(s) of merit (FOM) that the students arrive at while characterizing theinitial MDM filter. Obvious choices for device FOM would be percent reflectance andbandwidth of the MDM filter. Other FOMs could be developed around cost and performance ofthe final device. Guided by these choices and outcomes from the initial stage, students carry outa second iteration (process
). Curriculum planning for the development of graphicacy. Design and Technology Education, 18(2), 32-49.3. Fry E. (1981). Graphical literacy, Journal Of Reading, 24(5), 383-390.4. Grignon, M. 2000. Deux brouillons : le croquis et la maquette. In: BIASI, P., LEGAULT, R. (ed.) Genesis No. 14: Architecture.5. Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352-402.6. Miller, D. I., & Halpern, D. F. (2013). Can spatial training improve long-term outcomes for gifted STEM undergraduates?. Learning & Individual Differences, 26141-152.7. Marunic, G., & Glazar, V. (2013
Consent. Annals of the American Academy of Political and Social Science, Vol.250, No. 1, Communication and Social Action, pp.113-120. 2. Denning, S. (2007). The Leader’s Guide to Storytelling. New York: Bantam) 3. Fairhurst, Gail Theus and Farr, Robert A. The Art of Framing: Managing the Language of Leadership. (Bloomington, IN: Jossey-Bass). 4. Gardner, Howard. (2011). Preface to Leading Minds: An Anatomy of Leadership. (N.Y.: Basic Books). Originally published in 1995. 5. Gavin, N.T. (2009). Addressing climate change: A media perspective. Environmental Politics, Vol. 18, No. 5, pp. 765-780. 6. Matthes, J. (2009). What’s in a frame? A content analysis of media framing studies
. This preliminaryanalysis has also helped us understand what types of differences merit framing in underlyingeducational and social psychology for future work.AcknowledgementsThe authors would like to gratefully acknowledge the National Science Foundation for theirpartial support of this work under the REESE program (DRL-0909817). Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation.Bibliography1. Bandura, A., (1997) Self-efficacy: The exercise of control. Macmillan.2. Richardson, M., Abraham C., & Bond, R. (2012) Psychological correlates of university students' academic performance: A
AT test lab. All REV/Tparticipants have full access to these resources offering another avenue for experiential learning.Ability to quickly prototype ideas is a quintessential need of any design course, and REV/Tparticipants are allowed access to prototyping tools ranging from the basic crafts to advanced Page 24.1027.3desktop 3D printing.REV/T is split into two main sessions: the first session (typically spring) focuses on an AssistiveTechnology (AT) project-based course where VwD and teachers collaborate on product designproject(s), followed by the second session: a K-12 curriculum development session for theteachers and continuing research
Page 24.1055.10students as they pursue their goals in an engineering career.AcknowledgmentsThe funding was provided by the L.C. Smith Faculty Excellence Award.References1. S. D. Sheppard, K. Macatangay, A. Colby, W. M. Sullivan, Educating Engineers: Designing for the Future of the Field. Carnegie Foundation for the Advancement of Teaching (2008).2. E. J. Coyle, L. H. Jamieson, W. C. Oakes, Integrating Engineering Education and Community Service: Themes for the Future of Engineering Education. Journal of Engineering Education (2006) 7-11.3. Combustion and Energy Research (COMER) laboratory. Available from: http://lcs.syr.edu/faculty/ahn/4. D. W. Johnson, R. T. Johnson, K. A. Smith, Active Learning: Cooperation in the College Classroom 8th
. Nagchaudhuri, A., Mitra, M., Zhang, L., & all, e. (2013). AIRSPACES: Air-propelled Intrumented Robotic Sensory Platform(s) for Assateague Coastline Environmental Studies- A Multidisciplinary Experiential Learning and Research Project at a Minority Serving Land Grant Institution. IEEE Frontiers in Education Conference (pp. 1623-1625). IEEE.4. Lego Mindstorms NXT. http://www.lego.com/en-us/mindstorms/?domainredir=mindstorms.lego.com5. Dexter Industries DGPS. http://www.dexterindustries.com/dGPS.html6. Vernier Sensors. http://www.vernier.com/products/sensors/7. ARCGIS website. http://www.esri.com/software/arcgis8. IDETC 2013. http://www.asmeconferences.org/IDETC2013/index.cfm
Methods. Loughry, M. L., Ohland, M. W., & Woehr, D. J. (2013, August 9-13). Assessing Teamwork Skills for Assurance of Learning Using CATME Team Tools. Paper presented at the Annual Meeting of the Academy of Management, Lake Buena Vista, FL. Ohland, M. W., Loughry, M. L., Layton, R. A., Lyons, R., Ferguson, D. M., Heyne, K., & Driskell, T. Woehr, D. J., Pomeranz, H.R., Salas, E., Loignon, A.C., Sonesh, S. C. (2013, June 23-26). SMARTER Teamwork: System for Management, Assessment, Research, Training, Education, and Remediation for Teamwork. Paper and poster presented at the NSF Grantees’ session. Proceedings of the 2013 American Society of Engineering Education Annual Conference &
Closed-book Exams on Student Achievement in an Introductory Statistics Course. PRIMUS. 2. Dickson, K. L., & Miller, M. D. (2005). Authorized crib cards do not improve exam performance. Teaching of Psychology, 32, 230-233. 3. Erbe, B. (2007). Reducing test anxiety while increasing learning: The cheat sheet. College teaching, 55(3), 96–98. doi:10.3200/CTCH.55.3.96-98 4. Funk, S. C., & Dickson, K. L. (2011). Crib card use during tests: Helpful or a crutch? Teaching of Psychology, 38, 114-117. 5. Gharib, A., Phillips, W., & Mathew, N. (2012). Cheat Sheet or Open-Book? A Comparison of the Effects
bothparticipants helped in answering student questions. This course also helped the students becomeacquainted with college faculty and this familiarization should help with difficulties that somestudents experience with the transition to college.References1. (2013) Economic Opportunities through Education by 2015 (EcO15). [Facts about workforce skills, educational data, and other supported programs of EcO15], http://www.eco15.org/index.php.2. Hicks, T., and Heastie, S. (2008) High School to College Transitions: A Profile of the Stressors, Physical and Psychological Health Issues that Affect the First-Year On-Campus College Student, Journal of Cultural Diversity 15, 143-147.3. (n.d.) U.S. Department of Education (DOE). Teacher
Paper ID #9265Technology in classrooms: How familiar are new college students with thepedagogy?Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program at Virginia Tech. His research focuses on student learning outcomes in undergraduate engineering, interdisciplinary teaching and learning, organizational change in colleges and universities, and international issues in higher education.Mr. S. Cory Brozina, Virginia TechMr. Steven Culver, Virginia Tech