% 3rd Year 54% 55% 52% NA 33% 4th Year 46% 48% 40.7%b 32%c 5th Year 45.1%d1 Data is for all institutions (Highly Selective, Selective, Moderately Selective, and Less Selective) as reported in the 2005-06 Consortium for Student Retention Data Exchange (CSRDE). Western Michigan University is a “Moderately Selective” institution. 2nd year retention and 6th-year graduation rate for “Moderately Selective” institution is 62% and 24%, as reported by CSRDE.a CSRDE STEM Retention Survey, WMU Office of Student Academic & Institutional Research, data averaged 2000-05.b 37.4% graduated in a
a variety of disabilities (predominantly forpeople with physical disabilities or for people who are blind). Two team projects are highlightedbelow to provide examples for the scope and complexity of typical adapted physical activityprojects. Additional ongoing projects include Wii-B-Fit (an adapted Wii gaming system forpeople with physical disabilities) and the Untethered Runner (a system for people who arelegally blind to run independently without a physical tether or sighted guide).SoloQuad Kayak Conversion Control SystemThe SoloQuad Conversion Project (Figures 2 and 3) was an ongoing project that has beensignificantly enhanced through inclusion in the RAPD grant. The SoloQuad Conversion Projectbegan in 2003 with the award of a “Quality
] Brathwaite, B. & Schreiber, I. Challenges for Game Designers: Non-Digital Exercises for Video Game Designers, Course Technology, 2009.[9] Coller, B. D. & Scott, M. J. Effectiveness of using a video game to teach a course in mechanical engineering, Computers & Education, 53, pp. 900 – 912, 2009.[10] Coller, B.D. A video game for teaching dynamic systems and control to mechanical engineering undergraduates, Proceedings of the American Control Conference, 2010.[11] Coller, B.D., Shernoff, D.J. and Strati, A.D., Measuring Engagement as Students Learn Dynamic Systems & Control with a Video Game, Advances in Engineering Education (in press).[12] Hestenes, D., Wells, M., & Swackhamer, G., Force concept inventory, The
associate degree program at the urban communitycollege that trains students to be super technicians who are qualified to be hired as robotics,automation, manufacturing, and/or electronics technicians; (b) set up a state of the art roboticslaboratory at the urban community college to offer students an abundance of hands-on, practicalexperience that prepares them for immediate entry into the workforce upon completion of theprogram; (c) increase the success rate of the electronics, computer information system, andcomputer aided drafting & design technician programs at the urban community college byincorporating robotics-related activities and instruction into their curricula; (d) introduce roboticsconcepts to 11th and 12th graders in select high
teaching and assessment strategies. Since thiscourse is now required by elementary education majors at St. CatherineUniversity (SCU) for licensure, the 3C’s are a must for these future teachers whomust teach engineering in their future classroom.Quantitative and qualitative results are presented regarding competence andconfidence aligned with the ABET Program Outcomes through test scores andfinal projects, specifically in their ability to: a) apply knowledge of mathematics,science and engineering; b) design and conduct experiments as well as analyzeand interpret data to gain new knowledge pertinent to the problems to solve; c)design a system, component, or process to meet desired needs within realisticconstraints; d) function on multidisciplinary
requiredelements of mathematics for many core engineering courses7. In the Wright State Model,engineering students take this new engineering course, which is intended for calculus-readystudents, during their first semester. Then, they can take several engineering courses while theyconcurrently complete a traditional four-course mathematics sequence in calculus anddifferential equations. In its first iteration, over 80% of the students successfully completed thenew engineering course (earning a grade of ‘A’, ‘B’, or ‘C’), compared with around 42% of thestudents who, based on performance in prior years, successfully completed the first-year calculussequence at Wright State7. At Boise State University, engineering faculty members created apreparatory
international service projects, specifically what and howstudents learned from their experiences in these projects. Key foci of the study drew upontheories and models of experiential and social learning, identity, and intercultural competence.The students were participants in the local Engineers Without Borders chapter at the Universityof Illinois. The findings highlight what students reported learning related to: (a) the need toinvest time and effort, (b) interacting with community and team members, (c) implementingprojects, and (d) their individual development. These findings articulate the benefits to studentsof international service experiences and provide ideas for instructional methods that might fosterthis learning in other
instructor to discuss the ideaof incomplete specification: I.E. was the original intent to measure human reaction time to anunannounced stimulus, or the accuracy of human reaction time, given the additional cue of acountdown timer? The potential importance of such a distinction could be demonstrated bydescribing to the students two groups who conducted human reaction time experiments using amicrocontroller and LED stimulus: Group A averaged 146ms reaction time, with a standarddeviation of 36ms, whereas Group B averaged only 27ms, with a 10ms standard deviation. Theinitial conclusion would be that something was inherently different between the two groups
,Microsoft Excel was connected to the program to record the sensor values in real-time. Once thedata is recorded, Excel’s built-in tools were used to calculate the slope of the recorded data. Inorder to calculate slope, the following equations were used. (1) (2) (3) where x and y are the variables N is the number of values a is the intercept point of the regression line b is the slope of the regression line r is
of experiential learning).Specifically, the requirements to earn the CEEM are as follows: • Completing the EGE 5303 Energy and Environmental Management 1 course with a minimum grade of B. • Completing the EGE 5323 Energy and Environmental Management 2 course with a minimum grade of B. • Completion of a written assessment/exam (i.e., the certification exam) with a score of 70% after completion of the EGE 5303 course (or at the discretion of the certificate administrators, completion of the EGE 5303 Final Exam with a B grade or better). • Documentation of 12 months experience and/or training in the field of energy management and/or environmental management.The main reason for this course/practicum format
.[15] Ko, C. C., Chen, B. M., Chen, S. H., Ramakrishnan, V., Chen, R., Hu, S. Y. & Zhuang, Y. (2000). A large- scale web-based virtual oscilloscope laboratory experiment. IEEE Engineering Science and Education Journal, Vol. 9, No. 2, pp. 69-76.[16] Ko, C. C., Chen, B. M., Chen, J., Hu, S. Y., Zhuang, Y. & Tan, K. C. (2001). Development of a web-based laboratory for control experiments on a coupled tank apparatus. IEEE Transactions on Education, Vol. 44, No. 1, pp. 76-86.[17] Shaheen, M., Loparo, K. A. & Buchner, M. R. (1998). Remote laboratory experimentation. Proceedings of the 1998 American Control Conference, pp. 1326–1329.[18] Shen, H., Xu, Z., Dalager, B., Kristiansen, V., Strom, O., Shur, M. S., Fjeldly, T
. S. Gero, "Design prototypes: a knowledge representation schema for design," AI Mag., vol. 11, pp. 26-36, 1990.23 A. K. Goel and B. Chandrasekaran, "Functional representation of designs and redesign problem solving," presented at the Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2, Detroit, Michigan, 1989.24 A. K. Goel, et al., "Structure, behavior, and function of complex systems: The structure, behavior, and function modeling language," Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 23, pp. 23-35, December 2008 2009
ratedthe course as “excellent-5”, 6 as “very good-4”, and 6 as “good-3”. CSE students also evaluatedthe spring capstone course positively. On the official end of course evaluations, of the 12students enrolled in the course, 6 rated the course as a whole as “excellent-5”, 4 as “very good-4”, and 2 as “good-3” on a scale of 5-0. Seven students listed the amount they learned in thecourse as “excellent-5”, 2 as “very good-4”, 1 as “good-3”, and 2 as “fair-2”.Based on the multiple data sets collected by the instructors throughout the class, a clear patternemerged that what students found most exciting, challenging, and beneficial from the class was(a) the fact that they were working on real world problems, and (b) that they learned to work intruly
1 0 0 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 A Educational Outcome B Educational Outcome 6 Sr 6 Sr Assessment Score (1‐5
AC 2011-609: LEARNING ROBOTICS THROUGH DEVELOPING A VIR-TUAL ROBOT SIMULATOR IN MATLABYang Cao, University of British Columbia (Aug. 2007 - Present) Instructor, School of Engineering, University of British Columbia Okanagan Cam- pus (Aug. 2005 - June 2007) Postdoc, Industrial and Manufacturing Systems Engineering, University of Windsor Page 22.1006.1 c American Society for Engineering Education, 2011 Learning Robotics through Developing A Virtual Robot Simulator in MatlabAbstractDue to the expensive nature of an industrial robot, not all universities are equipped with arealrobots for
enter academia, industry, or take other career paths. A study of a similar programat Georgia Tech was published in 1998.2 This current study provides a retrospective look at thecourse and offers lessons learned.Conduct of the Study Page 22.1349.2A web-based survey was sent to 321 former doctoral students who graduated from the WoodruffSchool of Mechanical Engineering from the summer of 1996 through the spring of 2009. A copyof the survey is provided in appendix B. Ninety-nine responses were received for a response rateof 30.7%.Results Helpful in AcademiaThe first question in the survey asks whether the Teaching Practicum has been helpful
. Felder, D.R. Woods, J.E. Stice, and A. Rugargci, “The Future of Engineering EducationII: Teaching Methods that Work”, Chem. Eng. Educ., 34(1), p. 26 (2000).12 A. Cabral, R. Viau, and D. Bedard, “Situated Learning and Motivation Strategies to ImproveCognitive Learning in CE”, ASEE Annual Conf. Proc., (1997).13 Concepts and Models for Service Learning in Engineering, edited by E. Tang, StylusPublishing (1999).14 A. W. Astin, L.J. Vogelgesang, E.K. Ikeda, and J.A. Yee, “How service learning affectsstudents,” Los Angeles: University of California, Higher Education Research Institute (2000).15 L. Simons and B. Cleary, “The Influence of Service Learning on Students' Personal and SocialDevelopment”, College Teaching, 54(4), p. 307 (2006).16 P
/full_historyBrown, A., Hughes, O., McCue, L., Neu, W., & Tretola, B. (2007). Distance learning in thegraduate-level ocean engineering curriculum. ASEE Annual Conference and Exposition.Honolulu, Hawaii. Page 22.22.6Schetz, J. A., Marchman, J. F., & Inger, G. R. (1973). A combined curriculum in aerospace andocean engineering. American Society for Engineering Education Annual Conference. Ames,Iowa.VT-AOE. (2010). AOE Bachelor of Science Degrees. Retrieved 2010, fromhttp://www.aoe.vt.edu/academics/undergrad/ Page 22.22.7Appendix A: Sample Curriculum (VT-AOE
.; Fath, K. Q., Does interdisciplinarity promote learning? Theoretical supportand researchable questions. The Review of Higher Education 2004, 28, (1), 23-48.7. Mansilla, B.; Duraisingh, E. D., Targeted assessment of students' Interdisciplinary work: An empiricallygrounded framework proposed. In The Ohio State University Press: 2007; Vol. 78, pp 215-237.8. Klein, J. T., Evaluation of Interdisciplinary and Transdisciplinary Research: A Literature Review.American Journal of Preventive Medicine 2008, 35, (2, Supplement 1), S116-S123. Page 22.1114.89. Mansilla, V. B., Assessing expert interdisciplinary work at the
undergraduate management and industrial engineering curricula. Journal of Information Systems Education, Fall.4. Mandinach, E. B., Honey, M., Light, D., Heinze, C., & Rivas, L. (2005). Creating an evaluation framework for data-driven decision-making. EDC Center for Children and Technology, USA.5. Bransford, J. D., Brown, A. B. & Cocking R.R. (Eds). (2000). How people learn: brain, mind, experience and school. Washington, D.C. National Academy Press.6. Anderson W. A., Krathwohl D. R., Airasian, P. W., Cruikshank, R. E., Mayer, P. P., Raths, J. R. & Wittrock, M. C. (Eds.). (2001) A taxonomy for learning, teaching and assessing: a revision of bloom’s taxonomy of educational objectives. New York: Addison Wesley
AC 2011-1316: THE FRESHMAN ENGINEERING EXPERIENCE: RESULTSFROM A MIXED-METHOD EVALUATION STUDYJae Hoon Lim, University of North Carolina at Charlotte Dr. Jae Hoon Lim is an Assistant Professor of Research Methods at the University of North Carolina at Charlotte and teaches introductory and advanced research method courses in the College of Education. Her research interests include socio-cultural issues in mathematics education and various equity topics in STEM fields. She has served as a lead investigator for multiple international and comparative educational research and evaluation projects. She published twenty-five articles in scholarly and professional journals world-wide and authored seven book or monograph
short paper Written Assignment by students on a topic of their choice described above in b)- Class Discussions as described above in c)- Student Satisfaction SurveyThe data collected from instruments a), b), and c) was scored by faculty using the rubricdescribed in d). This Rubric is presented in Table 1 below. Page 22.252.4Table 1. Rubric for assessing contemporary issues assignments. Very Good Good Fair PoorBreadth of Covers a variety Five total Less than five Less than fiveTopics - from of engineering examples that total examples
the events and the participant enrollment figures. (SeeTable 2.)Table 2. GeoTech Initiative Events for Teachers: Descriptions and Total Enrollment GeoTech Initiative Event Description Participants A Introduction to GIS A Series of Five Two-Day 48 Workshop Series – Summer Workshops, one on each of main 2008 Hawaiian islands B Introduction to GIS A Series of Five Two-Day 108 Workshop Series – Summer Workshops, one on each of main 2009 Hawaiian islands C Introduction to GeoTech – An eight week online course
AC 2011-417: IMPLEMENTATION AND ASSESSMENT OF CASE STUD-IES IN A FRESHMAN ENGINEERING PROGRAMJames E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom.Patricia A Ralston, University of Louisville Dr. Ralston is currently professor and Chair of the Department of Engineering Fundamentals and an As- sociate in the Chemical Engineering Department at the University of Louisville. As
community do; • Knowledge: the understandings that people in the community share; • Identity: the way that members of the community see themselves; • Values: the beliefs that members of the community hold; • Epistemology: the warrants that justify actions or claims as legitimate within the community [...]The epistemic frame hypothesis claims that: (a) an epistemic frame binds together the skills, knowledge, values, identity, and epistemology that one takes on as a member of a community of practice; (b) such a frame is internalized through the training and induction processes by which an individual becomes a member of a community; and (c) once internalized, the epistemic frame of a community is used when an individual
22.1278.8local community, which is often experienced, including in disaster relief, where temporaryhousing and infrastructure provided by the military can remain for an extended time incommunity use. In addition to shelter and power, the team has looked at water reclamationoptions and organic and inorganic waste minimization.Fig. 1 (a) Transport unit doubles as on-site (b) Housing system in a box plug-in grid management unitIn addition to hardware aspects of the project, one of the sub teams has been working onsoftware integration associated with control to provide intelligence to the microgrid so that it canadapt top load demands and failures a well as insertion of different power sources. An additionalsoftware task is one to
isbecause a grade of D or F is expected at the end of semester. Therefore, in reality the class GPAwould be lower than 2.04 in the last column, if students stayed in the course until the end ofsemester. The class GPA would be 1.43 if all grades of W are counted as grades of F.Table 1. Grade distribution comparison of the same course taught by the same instructor in two separate semesters Limited or no Student Access Large percentage of Students Using Grade to Solution Manual Solution Manual for Assignments (N=38) (N=56) A 17% 12% B 31
‐Average, 3‐Good, 4‐Excellent, 5‐Not observed, 6‐Did not assess Since 2008, the Engineering Technology Department has started to incorporate the use of moreformal rubrics when evaluating outcomes. This has been a gradual change and the rubrics wereedited several times in those years as faculty worked with the rubrics. Tables 5 and 6 below areoutcome assessment data evaluated by a group of faculty advisers based on new rubrics. Page 22.481.13 Table 5. Capstone Project Assessment Results - ABET Outcome b. ABET OUTCOME – b Technical Competence–An ability to apply knowledge of mathematics, science, and
AC 2011-2203: INTEGRATING CURRICULUM, INSTRUCTION, AND AS-SESSMENT IN A LASER SYSTEMS COURSEPatricia F. Mead, Ph.D., Norfolk State University Patricia F. Mead, Ph.D., earned the doctoral degree in Electrical Engineering with a concentration in Electrophysics from University of Maryland, College Park, in 1994. She joined the faculty of Norfolk State University (NSU) as Professor of Optical Engineering in summer 2004. Since her appointment, Dr. Mead has been active in the development of innovative curricula for Optical Engineering courses, and she serves as Education Director for the NSF funded Nano- and Bio-Inspired Materials and Devices Center for Research Excellence in Science and Technology (CREST). Dr. Mead also
Interdisciplinary Environment Along with Media Art and Marketing, Proceedings of the ASEE Annual Conference, 2007 3. Todd, R. H., Magleby S. P., Sorenson C. D., Swan B. R., and Anthony D. K.: A Survey of Capstone Engineering Courses in North America, Journal of Engineering Education, 84(2), 165 – 174, 1995 4. Amon C., Wesner J., and Hoff R.: Identifying and Implementing Projects for a Multidisciplinary Engineering Design Projects Course at Carnegie Mellon, Proceedings of the Page 22.1181.7 ASEE Annual Conference, 2006 5. Frei F. X.: The Four Things a Service Business Must Get