Paper ID #16338Sustainable Undergraduate Engineering 3-D Printing LabProf. Nebojsa I. Jaksic, Colorado State University - Pueblo NEBOJSA I. JAKSIC earned the Dipl. Ing. degree in electrical engineering from Belgrade University (1984), the M.S. in electrical engineering (1988), the M.S. in industrial engineering (1992), and the Ph.D. in industrial engineering from the Ohio State University (2000). He is currently a Professor at Colorado State University-Pueblo teaching robotics and automation courses. Dr. Jaksic has over 60 publications and holds two patents. Dr. Jaksic’s interests include robotics, automation, and
. N.p., n.d. Web. 27 Mar 2010..[18] Yan, Y., S. Li, et al., 2009, Rapid Prototyping and Manufacturing Technology: Principle, RepresentativeTechnics, Applications, and Development Trends, Tsinghua Science & Technology, Volume 14, Supplement , pp. 1-12.[19] Sanjay Rajagopalan, j. M. P., Paul Losleben, Qi Tian, Satyandra K Gupta., 1998, Integrated design and RapidManufacturing over the Internet, ASME Design Engineering Technical Conference.[20] A Bernard, G. T., K P Karunakaran .,2009, Evolutions of rapid product development with rapid manufacturing:concepts and applications, International Journal of Rapid Manufacturing, Volume 1, Issue 1, pp. 3-18.[21] Yuhua Song, Yongnian Yan, Renji Zhang, Da Xu, Feng Wang ., 2002
mathematics. He has over 30 published papers and/or technical presentations while spearheading over 40 international scientific and engineering conferences/workshops as a steering committee member while assigned in Europe. Professor Santiago has experience in many engineering disciplines and missions including: control and modeling of large flexible space structures, communications system, electro-optics, high-energy lasers, missile seekers/sensors for precision guided munitions, image processing/recognition, information technologies, space, air and missile warning, mis- sile defense, and homeland defense. His interests includes: interactive multimedia for e-books, interactive video learning, and 3D/2D anima- tion
Paper ID #15606Hands-On Learning of Wireless Communication Principles Using Software-Defined Radio Experiments and LabVIEWDr. Ismail Guvenc, Florida International University Dr. Ismail Guvenc (senior member, IEEE) received his Ph.D. degree in electrical engineering from Uni- versity of South Florida in 2006, with an outstanding dissertation award. He was with Mitsubishi Elec- tric Research Labs during 2005, and with DOCOMO Innovations Inc. between 2006-2012, working as a research engineer. Since August 2012, he has been an assistant professor with Florida International University. His recent research interests include
, Glen Ellyn, IL. Spring 1992 – 1998Manufacturing and Electro-Mechanical Technology Professor, College of DuPage, Glen Ellyn, IL. Fall1988 – 1991 Graduate Teaching Assistant, University of Illinois at Chicago, Chicago, IL. Aug. 1987 –1988 CIS Instructor, Oakton College, IL . Winter 1984 – 1986 Project Control and Instrumentation Engi-neer, Project and Engineering Division, Teleoptic, Belgrade. Aug. 2001 - 2011 ABET Evaluator, IEEESociety. SELECTED PUBLICATIONS 1. Survey of Recent Results on the Robustness of SingularlyPerturbed Systems, 30th Midwest Symposium on Circuits and Systems. 1987 p 516-519. 2. Lineariza-tion and Sensitivity Models Using Kane’s Equations, Integrated Architectures For Robot Control andProgramming, v.7:23, 1993. 3. College
24.1406.3framework lists “an ability to communicate effectively” as a key learning outcome (ABET,2012). Another recently published list of attributes important for global engineers similarly lists:“Communicates effectively in a variety of different ways, methods, and media (written,verbal/oral, graphic, listening, electronically, etc.)” and “Communicates effectively to bothtechnical and non-technical audiences” (International Federation of Engineering EducationSocieties, 2013).What these and many other leading institutions have recognized is that writing is a particularlyessential element of all engineering communication. Engineers write to transmit information inall stages of their projects and design development. In fact, a study published in 2011 found
several awards for outstanding research and teaching at Penn State, including the 2007 Penn State University President’s Award for Excellence in Academic Integration. He is a Fellow in ASME and an Associate Fellow in AIAA. He currently serves on the ASME Design Education Division Executive Committee and is former Chair of both the ASME Design Automation Executive Committee and the AIAA MDO Technical Committee. He is also a Department Editor for IIE Transactions: Design & Manufacturing and serves on the editorial boards for Research in Engineering Design, Journal of Engineering Design, and Engineering Optimization.Dr. Conrad Tucker, Pennsylvania State University, University ParkDr. Gul E. Okudan Kremer, Pennsylvania
overarching problem to a discipline-specific perspective (Stages 1-3).Students then learn specific technical skills or content and apply what they learn to a real-worldproblem inspired by one of the GCs (Stages 4-5). Upon completing their technical work, theyreflect on the skills they have gained and how those skills could be relevant for other aspects ofthe GC (Stage 6). We describe each stage in more detail in the following paragraphs.Stage 1: Multi-Disciplinary Overview. Each GC project begins with an overview of one of theGC themes. Depending on the class needs and the availability of other resources, this overviewcould take different forms, such as a presentation from a technical expert in the field; a paneldiscussion among scientists, engineers
and Simulation from Old c American Society for Engineering Education, 2014 Paper ID #8567 Dominion University in 2007 under the supervision of Prof. Min Song. His research interests lie at the intersection of computer networking, network security and machine learning. Recently, he has been work- ing on security issues in cloud computing, cognitive radio networks, and wireless sensor networks. Over the years, he has secured funding over $3 million from NSF, AFOSR, DOE, DHS, TBR and local industry for research and educational innovations. He has authored and coauthored over 30 technical refereed
contribution of failure case studies to attainment ofthe ABET Criterion 3 a-k student outcomes 2. The students were also surveyed about how failurecase studies contributed to their interest in and understanding of course material. Students wereasked specifically about the technical lessons learned, as well as their response to the casestudies. Case study questions were included on homework assignments and examinations.When the survey results were analyzed, it was found that the 11 student outcomes could besorted into two categories, Technical Component and Professional Component 3. The ABETstudent outcomes grouped under the “Technical Component” refer to the application and analysisskills in engineering. Specifically, these are: (a) an ability
[14]. As an export state with a total value of $5.3 billion in 2008, food and agricultureproducts are crucial to this number. Food and agriculture products consist of 12.6% of total export value,and of all export product categories; food and agriculture products are involved in 3 of the top 4categories [15]. Indiana is a leader in food processing and manufacturing for multiple reasons, including (i)location – Indiana offers access to readily available raw agricultural products: corn, soybeans, milk, eggs,poultry and pork; (ii) excellent transportation systems – Two-thirds of the U.S. population within 1 day’sdrive of Indiana, many international companies, as well as companies that import food into Indiana andperform value-add
; Page 24.116.315 individual projects and 1 group project for three Brazilian exchange students since they had toreturn to Brazil early to start the next school year. Another 15 projects were assigned to 15 REUFellows in summer 2013 (Table 3). Among those REU Fellows, 4 are African American, 6 arewomen, 2 are Hispanic American and 7 are international exchange students. In addition to theten REU faculty, we have recruited 18 graduate students and postdocs to serve as project mentorsthrough these two summers. The titles, faculty and delegate mentors for all REU individualprojects are also listed in Tables 2 and 3, respectively. These project topics range from unsteadyaerodynamics, flow control, robotics, autonomous control algorithms, field
by multiple analyses26.Students’ goal orientations will be measured using the Intrinsic and Extrinsic Goal Orientationssubscales of the Motivated Strategies for Learning Questionnaire (MSLQ)27. The MSLQ is aLikert-scaled instrument that has high internal consistency, reliability, and predictive validity32,33 . The MSLQ will be administered to students enrolled in the courses described in section 3 bothat the start and end of each academic term. The SIMS will be administered on a weekly basis toobtain a granular view of student motivational responses to the desktop CNC integration.Self-efficacy and use of higher-level cognitive strategies: Students’ self-efficacy within open-ended design situations will be gauged using the self-efficacy
project aims to characterize how engineering students view and approach innovation. Aspects of the research that are accomplished so far include: 1) a multi-phase protocol that includes interviews, process mapping tasks, and think-aloud protocols, 2) a content analysis to determine typical innovation and discovery behaviors used in innovation in technical areas, and 3) a meta-synthesis of assessment methods used in engineering entrepreneurship. Based on the findings from these studies, we made recommendations that inform activities associated with the educational plan including classroom activities and assessment tools. Introduction While innovativeness is a
Cloud)• Educate students about technical aspects of CC (integrate these topics into upper level computer technology, computer programming, computer science classes): o Virtualization o Web services o Programming models, algorithms and scientific computing enabled by CCThe First Workshop SessionThe first workshop session, during the summer of 2012, consisted of three days of hands-oninstruction. The participants’ teaching areas spanned a wide array of subjects ranging fromComputer Technology, Math, Physics and Chemistry, to Human Anatomy, Biology,Environmental Science, and even Spanish. Thus, it was challenging to design the workshopmaterials because they should be general enough to be useful to all participants, yet they mustalso
might expect. His fourth concept was a snow tamper, where theuser flattens the snow ahead of him, while making the snow compact and easy to walk on. Hisfifth concept merged a dart and fishing, and introduced these two into the snow context. Heproposed that the user would ride on a snow tube attached to a dart with a fishing pole, so he canchoose a spot as a target and pull himself along using the fishing pole. In his final concept, heused two plywood boards that one could step on, pick up the next one, throw it a distance ahead,and step on it again. Figure 6. Participant 3’s (KAI score= 119) concept sketchesIn addition to the jump from familiar solutions to more unusual ideas in the middle of the session,the progression of
again. Figure 6. Participant 3’s (KAI score= 119) concept sketchesIn addition to the jump from familiar solutions to more unusual ideas in the middle of the session,the progression of Participant 3’s concepts was also interesting. He started with rather simpleideas and moved toward more complex ones, but then ended his ideation session with the simplestsolution he created: two plywood boards. Potentially, Participant 3 realized he was re-creatingexisting solutions and consciously changed his pattern. Additionally, Participant 3’s transitionfrom simple to complex to simple solutions suggests larger jumps in his exploration of thesolution space
institutions thatseeks to evaluate the effect of video generation and viewing on studentunderstanding of several thermodynamics concepts: 1) Entropy and the SecondLaw, 2) Reversibility, 3) Steady State vs Equilibrium, 4) Internal Energy vsEnthalpy, and 5) Reaction Rate vs Reaction Equilibrium (Abulencia – 2012).The focus of this paper is to examine the effect of students viewing peer-generatedvideos (21 total) of the aforementioned topics. The viewing assignment coincidedwith the time that particular topic was being taught in lecture. TheThermodynamics Concept Inventory developed by Vigeant and colleagues wasused to assess conceptual learning and was administered at the beginning andend of the semester (Prince – 2009, Vigeant 2009, Vigeant 2011). The
, particularly of hollow sections and rectangular sections with respect howthe loads are applied. These concepts are essential to correctly solve the upper division SolidMechanics, Machine Design and FEA classes. Several help sessions and other online tutorialsand freeware were used to enhance their understanding of these, which helped somewhat intheir better understanding of those concepts. Determining reaction loads due to distributedloads is another major hurdle for carrying out the design problems.In the end, however, more studies and teaching techniques are required to design coursemodules for Statics using everyday examples (E^3)12 that may perhaps help the students.Some remedies at Kettering University are taken to reinforce students to take
Senior Planning and Research Associate in the Office of Planning and Institutional Assessment at The Pennsylvania State University.Dr. Amy L Freeman, Pennsylvania State University, University Park Dr. Amy L. Freeman is Assistant Dean of Engineering Diversity at The Pennsylvania State University where she received the M.S. in Architectural Engineering, and a Ph.D. in Workforce Education. She is Co-PI on the NSF-sponsored Toys’n MORE grant and currently manages several retention programs targeting over 2500 women and underrepresented technical students at all levels of the academic and career development pipeline. She is also an executive member of the National Association of Multicultural Engineering Program Advocates
other ISSST sessions, reflecting back to participants whatwe heard and saw but through the lens we were developing on sustainability. To prepare for thesession, the research team spread across three concurrent sessions of ISSST, and took notesbased on the following items: 1. What do people consider “sustainability”? 2. What are things our students should understand, know, be able to do? 3. Do we see evidence of our initial gateway concepts: Time; Scale; Feedback; Energy; Modeling 4. What mentions of contexts are made: values; social; political; technical 5. To what degree are conversations focused on US or globally? 6. Any mentions of corporate, industrial, governmental, educational contexts? 7. What did we miss in
other types of case studies all of these have primarily focusedon technical issues such as failure analysis, including failures of products, of design, and ondecisions related to standard and codes of ethics. Approaching case analysis in these ways doesnot give significant attention to developing ethical reasoning skills nor understanding of ethicalprinciples that are necessary for analysis of situations and dilemmas where codes are not yet inplace or are in internal conflict. Attempts have been made to increase the effectiveness of caseanalysis on ethical reasoning through changing the content of the cases31 or the pedagogicalframework of the case analysis32, however, we believe an increased level of educational structureand focus on
Florida (USF) College of Engineering. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.7 References[1] J. Biggs and C. Tang, Teaching for quality learning at university. McGraw-Hill International, 2011.[2] C. Rust, “The Impact of Assessment on Student Learning: How Can the Research Literature Practically Help to Page 24.195.12Inform the Development of Departmental Assessment Strategies and Learner-Centred Assessment Practices?”Active Learning in Higher Education, vol. 3, no. 2, pp. 145–158, Jul
because it is too difficult to assess? In a similar fashion to the analysis of syllabi, the team of researchers created a concept map fromthe written comments. This prototype scheme ultimately supplemented the final version to fill inany gaps formed between the online syllabi and Delphi study.Method 3: Delphi StudyThe Delphi procedure was employed to engage a group of participants with a common interest todevelop shared images based on three rounds of question development and information, withiterative feedback9,10,11,12 . The initial invitations to participate came from a list generated by asteering committee of faculty in first-year engineering programs, e-mail invitations to the listserveof the First-Year Program Division of ASEE, email
Group Manager for Body Structures Design Group at General Motor Corporation in the Warren Technical Center from 1984 to 1989, and served as a Engineering Principal Engineer for a number of engine, and structural design groups at Ford Motor Company from 1977 to 1984. He served as a Research Engineer at Eastman Kodak Corporation from 1974 to1977. He received his M.S.(1970) and Ph.D.(1974) in mechanical engineering from the University of Connecticut in Storrs,CT and his B.S.(1966) in mechanical engineering from Pur- due University in West Lafayette, IN. He is currently the PI at the University of the Pacific for the four year Collaborative National Science Foundation TUES DUE grant entitled” Improving Learning
-Economides has received a number of technical awards in including the SPE Formation Evaluation and Lester C. Uren Awards and the Anthony Lucas Gold Medal, and she was inducted into the National Academy of Engineering in 2003. She is currently a member of the National Academy Board on En- ergy and Environmental Systems (BEES). She is developing courses and academic programs in Energy Engineering at Texas A&M University.Dr. Bugrahan Yalvac, Texas A&M University Bugrahan Yalvac is an associate professor of science and engineering education in the Department of Teaching, Learning, and Culture at Texas A&M University, College Station. He received his Ph.D. in science education at the Pennsylvania State University
park. The laboratory students had to develop a sampling plan at the park based on where thehypothetical “5th grade” class may have been during their field trip. Students collected thesamples and during the laboratory session learned how to conduct field samples for water,analyze water quality parameters such as pH, dissolved oxygen, and micrbobial analyses. Thislab consisted of 2 weeks. The first week for the case and developing a plan and the second weekfor sampling and analysis. Lab Skills: Biological, chemical and physical measures and to anlayzefor water quality. (Figure 2) Figure 1. E-waste Case Figure 2. Miss Hines and the sick 5th graders caseCase 3: Social Media, Printer Works Students read the
FloridaAtlantic University participated in the study, and the preliminary findings will be presented inthe NSF Grantees’ Poster Session at the ASEE 2014 conference.References1. M. H. Dancy, and C. Henderson, “Barriers and Promises in STEM Reform,” National Academies of Science Promising Practices Workshop, National Academies of Science, 2008.2. M. Prince, “Does Active Learning Work? A Review of the Research,” Journal of Engineering Education, 93(3), 223-231, 2004.3. C. C. Bonwell, and J. A. Eison, “Active Learning: Creating Excitement in the Classroom,” ASHE-ERIC Higher Education Report No. 1, George Washington University, Washington, D. C., 1991.4. L. E. Bernold, “Preparedness of Engineering Freshmen to Inquiry-Based Learning,” Journal of
, 2002 Jacobs Innovation Grant, 2003 Distinguished Teacher Award, and 2012 Inaugural Distinguished Award for Excellence in the category Inspiration through Leadership. His scholarly activities have in- cluded 3 edited books; 7 chapters in edited books, 1 book review, 52 journal articles, and 106 conference papers. Moreover, he has mentored over 100 high school students, over 300 school teachers, 28 under- graduate summer interns, and 11 undergraduate capstone-design teams, and graduated 1 B.S., 16 M.S., and 4 Ph.D. students. He directs K-12 education, training, mentoring, and outreach programs that cur- rently enrich the STEM education of over 2,000 students annually
drive to master technical concepts, the desire to apply them,innovate, create, solve, and synthesize.1-3 In other words, motivation is a major factor in thedevelopment of metacognitive and solving problem skills. A key factor in student motivation istheir perceptions of their future possible selves, which are also linked to cognition andperceptions of themselves in the present.4-5 This research seeks to help educators understandfactors that contribute to students’ motivation, such as expectations, values, and goals, as well astheir cognition and academic performance. Understanding these relationships will address thechallenges facing engineering educators: increasing interest in engineering, creating a morediverse engineering workforce, and