). Creating Collaborative and Comprehensive Programs for Entering Student Success. Presented at the annual conference on the First Year Experience, Denver, CO. February 13, 2010. Retrieved January 11, 2011, from http://www.uc..edu/uploadedFiles/Deans/Feb2010PreConfFYE-SEFRGWMS-v8.pdf . 4. Garcia, L. D., & Paz, C. C. (2009). Evaluation of summer bridge programs. About Campus, 14 (4), 30-32. Retrieved December 22, 2010, from the ERIC database (EJ861257). 5. Hansen, M. J. (2008). Understanding student success and retention. Indianapolis, IN. Indiana University Purdue University Indianapolis, University College Assessment. 6. Pascarella, E. T., and Terenzini, P. T. (2005). How college affects students: Volume II, A
. Rizzi, A. and Vos, J. 5,s.l. : American Institute of Aeronautics and Astronautics, 1998, AIAA Journal, Vol. 36, pp. 668-675.36. Bennett, J. GAMBIT/FLUENT Checklist. First-Year Engineering Program, The Ohio State University.Columbus, Ohio : s.n., 2007. White Paper.37. Assessment by Peers - An Effective Learning Technique. Dziedzic, M. et. al. s.l. : Institute of Electricaland Electronics Engineers, 2008. Fronteirs in Education Conference.38. Accuracy and Reproducability of CFD Predicted Wall Shear Stress Using 3d Ultrasound Images. Augst,A.D. et. al. 2, s.l. : American Society of Mechanical Engineering, 2002, Journal of BiomechanicalEngineering, Vol. 125
and students have united in the creation of a Ph.D. Consortiumfor Engineering Education, which will evolve into an active consortium for 2012.With the continual development of student chapters, the SCC, and other student-focusedactivities, it is necessary to understand the effect of these activities on the marked increase instudent participation in the field of engineering education. Therefore, the purpose of this study isto build upon the 2010 student member needs analysis by assessing the impact of these ASEEstudent-focused activities on student participation. This study analyzes the impact the SCC andstudent chapters have had on the student membership. To accomplish this goal we examine whythe current student members joined ASEE and
so important in the formation of engineers. The formation of theengineer must consider besides the strong basis in basic sciences and basic sciences ofengineering the development of: effective communication; the willing to learn all life; positiveattitudes and behaviors; to work in teams; responsibility for actions and results; respect todiversity; entrepreneurship.A way to acquire and to foster these skills seems to be the big challenge for the institutions.Many discussions are taking place in many meetings and congresses and the general consensus isthat the formation of the global engineer implies the search for ways to foster the qualitiesnecessary to perform globally as well as the assessment of these practices as valuable in a
senior-level undergraduate course in digital communication systems, the following prerequisites werespecified: A basic understanding of various fundamental communication systems engineering principles, such as the manipulation of amplitude, phase, and frequency for the representation of information (e.g., AM, PM, FM), synchronization and phase-lock loops (PLLs), and equalization. A basic understanding of probability theory is order to quantitatively assess the theoretical performance of communication systems operating in the presence of noise and other random sources of interference. Familiarity with Simulink or any general programming language, especially if it is graphical, is needed
studentsparticipated. The results are summarized qualitatively in Table 2. The responses were given based onthe typical rubrics of 1 to 5 (1-strongly disagree, 2-disagree, 3-neutral, 4-agree, 5-strongly agree).Column 2 of Table 2 lists what each question was trying to assess from students’ perception andknowledge. The 3rd column shows the average rubric score given by students for each question.Final column in Table 2 attempts to give a qualitative meaning to the data in column 3 so thatwhether the Verilog HDL content its delivery methods need to be changed for better learning ofHDL based design flows.Almost all the questions posed to students received an affirmative answer ranging from “ok” to“yes” in the qualitative score indicating that the HDL flow and
., “Closing the assessment feedback loop: the use of a qualitative evaluation process from the joint hybrid-electric vehicle/NSF-Penn State science education project,” Proceedings of ASEE AC2005-1410, 2005.9. D. Tallon, R. Streit, C.Y. Wang, C. Bakis, C. Randall, M. Lanagan, et al., “Graduate Automotive Technology Education in energy storage systems - GATE Penn State,” International Journal of Continuing Engineering Education and Lifelong Learning, Vol. 11, No. 4/5/6, 534-541, 2001.10. Rizkalla, M., Yokomoto, C., Pfile, R., et al., “Using senior research, design and development projects in the development of a course in electric vehicle technology,” Proceedings of ASEE AC2000-3432, 2000.11. Rizkalla, M., Yokomoto, C
atlower cost, first to market”, today needs some modification. Today it also matters what the userthinks, and that the design looks appropriate, the company is socially responsible, and the story iswell told.Survey data presented at the end of this paper shows that both groups of students strongly valuemultidisciplinary collaboration. In the spring 2011 semester pre and post-course surveys areadministered to assess how well the course goals are met. These goals are to: 1. Expose first year engineering students to industrial design thinking 2. Gain experience working on multidisciplinary teams 3. Provide a broad exposure to digital prototyping tools 4. Provide the opportunity to conduct an independent study of a digital
moreimportant.Engineers and engineering students frequently do not seriously think about how their designmight impact a community. The social implications of their designs are not one of the criteriathat is used to assess its success. This is in contradiction to what ABET requires schools to teachconcerning engineering design. Criterion 3(h) states that14: “Engineering programs must demonstrate that their students attain the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.”Ignoring societal impacts is also a violation of most engineering codes of conduct. For example,the National Society of Professional Engineers (N.S.P.E.) states in their code as the
. Page 22.619.2These developed tools are now being used in a renovated Mechatronics course. Additional demotools and modules are being developed and refined for continued enhancement of the courseusing model-based approach with Mathworks tools. A GUI is also being developed to facilitatethe automatic system modeling, control design, and programming of a number of embeddedmicrocontrollers for control implementation, including dsPIC30, dsPIC33, PIC24, and Arduinoboard, among others. Improvements in the technical knowledge of the students and theirconfidence in carrying out the laboratory experiments throughout the course are being used asthe primary indicator to assess the effectiveness of these new teaching tools.2. Model-based design
Accrediting Engineering Programs,” 2001.24. Besterfield-Sacre, M., Shuman, L.J., Wolfe, H., Atman, C.J., McGourty, J., Miller, R.L., Olds, B.M., and Rogers, G.M., “Defining the Outcomes: A Framework for EC-2000,” IEEE Transactions on Education, 43, 2000.25. Safoutin, M.J., Atman, C.J., Adams, R., Rutar, T., Kramlich, J.C., and Fridley, J.L., “A Design Attribute Framework for Course Planning and Learning Assessment,” IEEE Transactions on Education, 43, 2000.26. Newcomer, J.L., “Design: The Future of Engineering and Engineering Technology Education,” Proceedings of the Annual Frontiers in Engineering Education Conference, 1999.27. Mertz, R.L., “A Capstone Design Course,” IEEE Transactions on Education, 40, 1997.28. Bond, B., “The Difficult
technique on thedesign process. Surveys were disseminated to student teams at the educational institutions. Thesurvey is used to explain the methodology to students and report results to our researchers. Themethod assesses design contexts into archetypes. Once mapped to an archetypical designproblem, ideal for either transformer or monomorph design, distinct suites of concept generationtools are suggested to accelerate the design process. This process leads to high quantities andnovelty of design concepts. The experiment compares the archetypical prediction with theexperimental control of actualized results and intra-team consistency of design problemassessment. Based on experimental results, the indicator technique for transformer design
AC 2011-1526: EXCEL ADD-INS FOR GAS DYNAMICS COURSESRobert P Taylor, University of Alabama Dr. Robert Taylor is professor of mechanical engineering at The University of Alabama and associate director of the Alabama Industrial Assessment Center. Before joining the UA faculty in 2004, he served for 25 years at Mississippi State University as an ME professor, associate dean of engineering, and interim dean of engineering. Bob has a BS and PhD from MSU and a master’s degree from Purdue University. He also worked as an engineer for Texaco, Inc., early in his career. Bob teaches courses in heat transfer, energy systems design, and gas dynamics. His research interests are in the areas of heat transfer and fluid
Society for Engineering Education Annual Conference & Exposition. American Society for Engineering Education.11. C. Veenstra. “A Study of Calculus I Students. Proceedings of the 2009 American Society for Engineering Education Annual Conference & Exposition. American Society for Engineering Education.12. R. Nensel, J. R. Sigler, and A Lowery. “Breaking the Cycle of Calculus Failure: Models of Early Math Intervention to Enhance Engineering Retention. Proceedings of the 2008 American Society for Engineering Education Annual Conference & Exposition. American Society for Engineering Education.13. Foley-Peres, Kathleen; Poirier, Dawn. “College Math Assessment: SAT scores vs. College Math Placement Scores
Education, 28(2), 6-20 5. Besterfield-Sacre, M., Atman, C. J. , and Shuman, L. J. (1997). Characteristics of freshman engineering students: Models for determining student attrution in engineering. Journal of Engineering Education, 86(2): 139-49. 6. Besterfield-Sacre, M., Atman, C. J. , and Shuman, L. J. (1998). Engineering student attitudes assessment. Journal of Engineering Education, 87(2): 133-41. Page 22.704.13 7. Burtner, J. (2005). The use of Discriminant Analysis to investigate the influence of non-cognitive factors on engineering school persistence. Journal of Engineering Education, 94(3
. Kim received a Ph.D. from the USC, and a master’s and a bachelor’s degrees from the Seoul National University. Her current interests include pedagogical discourse analysis, human-computer interaction, social network assistance, and assessment of student collaborative online activities. She leads synergistic work among machine learning experts, educational psychologists, NLP researchers, and STEM instructors. She is the PI of five NSF projects including the CCLI/PedDiscourse, CCLI/PedWiki and NSDL/SocRecomm projects under the EHR Directorate and CreativeIT/PedGames and IIS/PedWorkflow projects under the CISE Directorate. Under the retired PedDiscourse effort, her team designed, deployed and evaluated software
concurrent mathematics and physicscourses; have a graphics component to address communication issues; not rely on fabricationability of students; and be conducted within a suitable time period for the class.8All new projects developed must include the following elements2 from the engineering designprocess: 1). Needs Identification: What is to be accomplished? 2). Conceptual design: How might the need be met? What alternatives should be considered? 3). Analysis and modeling: What is involved in determining whether the conceptual design will meet the need? Technically feasible? Can it be modeled mathematically? 4). Verifying and assessing: Can the predictive models be validated through physical testing?With these
in STEM research fields.3. Evaluation PlansThree types of evaluations will be performed during the present project to ensure that we aremeeting the key objectives of this project: 1) formative evaluations which will be used to provideus with continuous feedback on whether we are meeting our objectives and 2) summativeevaluations will be used to measure how effectively the program has accomplished its statedgoals, and 3) Performance Measures to assess student retention and changes in the number offull-time, degree-seeking minority undergraduate students in the Industrial Engineering andMechanical Engineering department.The main components of the proposed model [a) teaching teachers to teach engineering program,b) peer undergraduate mentoring
environmental science degree programs. As a result, many of theNATURE research projects are environment-related. Page 22.335.7Project titles can be viewed at:http://www.ndsu.edu/epscor/NATURE/research.htmlAt the end of fall 2010 a survey of the university mentors, tribal college mentors, and studentswas conducted to obtain feedback for a formative assessment. Separate survey forms weredeveloped for each constituency. Blanks of the three forms are appended.Overall, the collaborative mentoring model was considered good by both TC (5 out of 7) anduniversity mentors (7 out of 10). However, there were concerns. Several suggestions have beenmade to improve
findings are that, in cases where the American model of university educationis being exported to engineering programs at universities overseas or in situations whereinternational students enroll in engineering programs in the United States, instructors may wantto consider tailoring expectations, learning activities, and assessment tools to account for localvariations in preferred learning styles.IntroductionDue to differences in educational experience, background, individual nature, and cultural effects,every person has a unique set of preferences related to how he/she prefers to learn new things. Page 22.353.2While many students utilize multiple
levelUniversity students. Few robot platforms possesses a range of programming options that allowaccess to novice programmers such as young elementary children up to embedded systemsprogrammers such as upper level engineering majors. These Computer Interface Innovationsmake this possible. The potential impact for early recruiting of STEM talent from the youth poolincreases dramatically using a platform that can grow with students as they advance in skills andultimately follow them to a degree program.Bibliography 1. Gilmore, A., Chen, B., and Grandgenett, N. “Using Robotics to Equip K-12 Teachers: The Silicon Prairie Initiative for Robotics in Information Technology”, ASEE 2009 2. Gilmore, A., Detloff, H. “Assessing Senior Student
of energy alternatives as Page 22.379.3graduates and future leaders.NSU Green The Green initiative launched by the NSU campus for the last seven years includedbehavioral change, recycling, campus beautification, infrastructure and energyconservation. For campus beautification the authority stated planting trees all around thecampus. NSU was chosen as a 2009 Tree Campus USA University for its dedication tocampus forestry management and environmental stewarding. During 2008, it wascharacterized as the first designated Tree Campus USA University in Louisiana by theTree Campus USA Program. The University officials have started gathering assessments,from
able to describe and begin to understand thesocial context of your project partner; this understanding is a critical starting point in being ableto assess the implications of any design decisions you make and how these decisions will impactthe stakeholders in the project. The following are important questions and factors to consider inwriting out your description of the social context of your project partner.Understanding the social challenges addressed by the project partner and the client served:What is the mission of my project partner? Or more particularly, what is in-depth the largersocial challenge your project partner is attempting to address (e.g., drug use; poverty; science,technology, and math education; students with disabilities
plasticity theory, structural design and analysis, engineering analysis and finite element methods and has interests in remote laboratories, project-based learning and student learning assessment. His research is in the areas of remote sensing and control with applications to remote experimentation as well as modeling of microstructure changes in metal forming processes. He publishes regularly in peer-reviewed conference proceedings and scientific journals. At the 2006 ASEE Annual Conference and Exposition in Chicago, USA, he received the Best Paper Award for his article ’A Virtual Laboratory on Fluid Mechanics’.Constantin Chassapis, Stevens Institute of Technology
EvaluationWhile it is always difficult to assess the effectiveness of a course,the performance of the studentsin the class was encouraging. This was reflected by the final grade distribution: A 9 B 11 C 1 D 0 E 0 I 0 Average grade: 3.3 / 4.0Moreover, each semester, students are provided with course evaluation forms which theycomplete in class, collect, and then return to the department’s secretary. As part of the courseevaluation, students are asked to evaluate the course and the instructor in very specific ways. Asummary of the responses to two of the questions is provided below.• Was this course interesting and
available for students’general comments. Students can fill out the on-line teaching evaluation form anonymously andsubmit it electronically whenever and as often as they want. Our students have rated ourcurriculum as an excellent one and expressed their interest in taking more classes from us in thefuture.Three senior experts in engineering research/education and applications have been separatelyinvited to UT to assess our CRCD-sponsored curriculum. They are Professor Z. Suo of PrincetonUniversity, Mr. Don Sidwell of Lockheed Martin Skunk Works Division in Palmdale, California,and Mr. Morris Johnson, a manager at UCB Chemicals, a Belgium-based company in Smyrna,Georgia. Each of them has spent one day at UT to listen to our briefing on the
Councilfor Minorities in Engineering, Inc. (NACME) on the retention of minority and non-minoritystudents, selectivity was found to be the most important predictor of degree attainment for bothminority and non-minority students. Selectivity ratings are self assessments made by eachcollege based on three criteria: percentage of applicants accepted, high school class rank, andstandardized test scores of freshmen who actually enrolled in the institution.15When the introductory engineering course was in a different format, studies suggested that ifengineering students took the course during their first (fall) semester, their rate of retention washigher than those who took the course in the spring. Due to staffing and space limitations, onlyabout half of
rates and in addition, as astate institution, necessarily our selectivity rate is low. In a study by the National Action Councilfor Minorities in Engineering, Inc. (NACME) on the retention of minority and non-minoritystudents, selectivity was found to be the most important predictor of degree attainment for bothminority and non-minority students. Selectivity ratings are self assessments made by eachcollege based on three criteria: percentage of applicants accepted, high school class rank, andstandardized test scores of freshmen who actually enrolled in the institution.15When the introductory engineering course was in a different format, studies suggested that ifengineering students took the course during their first (fall) semester, their rate
functionality of the entity without explicitly specifying its structure.The functionality is expressed primarily using concurrent signal assessment statements and blockstatements.Structural Style describes an entity as a set of components connected by signals. The componentinstallation statement is the primary mechanism used for describing an entity. Shown below isanother example of the modeling of a multiplexer.-- multiplexer using IF-THEN-ELSEmultiplexer_1 : PROCESS (sel, d1, d2) BEGIN IF (sel = ‘1’ ) THEN d_out <= d1; ELSIF (sel=’0’) THEN d_out <= d2; ELSE d_out <= ‘X’; Page 5.132.6 END IFEND PROCESS;A
methodologies in higher education,outcomes assessment and K-12 science education. She is a member of the Society ofManufacturing Engineers, American Society for Engineering Education, and Society of WomenEngineers.ROBERT E. MAGOWANRobert E. Magowan is a Professor of Manufacturing Technology at The University of Memphis.He received his bachelors and masters degrees from Eastern Kentucky University and hisdoctorate from Texas A&M University. He currently teaches courses in statistical qualitycontrol, production control systems, work measurement, and facility design. Over the years hehas conducted a number of industrial seminars at The University of Memphis and in variousplants and provided consulting services for companies in West Tennessee. He has