challenging global curriculum.ixThe Spanish IEP Sustainability Project and Study Tour, January 2- 18, 2015 in Chile, wasfunded by a grant which Megan Echevarria (PI) had successfully applied forx through PresidentObama’s “100,000 Strong in the Americas Initiative,” administered by the Partners of theAmericas Foundation.xi The Obama administration made it a strategic goal to exchange 100,000students within the Americas, and in its first round of proposals prioritized Chile and Peru astarget countries.xii The tour introduced 7 Spanish IEP students (dual majoring in an engineeringdiscipline & Spanish) to the laboratories of the Pontificia Universidad Catolica de Valparaiso(PUCV), the SIEP’s partner university in Chile and gave participants the
whichdatabases are reliable. For example, MailOnLine has a news report March 5 2015 saying that“Scientists say toilet can be used to supply electricity in disaster zone” 28. Sentences like “'Workby the Bristol BioEnergy Centre hit the headlines in 2013 when the team demonstrated thatelectricity generated by microbial fuel cell stacks could power a mobile phone.”, and “Prof Spring 2015 Mid-Atlantic ASEE Conference, April 10-11, 2015 Villanova UniversityIeropoulos (Bristol Robotics Laboratory at UWE Bristol) ,added: 'One microbial fuel cell costsabout £1 ($1.5) to make, and we think that a small unit like the demo we have mocked up for thisexperiment could cost as little as £600 ($900) to set up, which is a significant bonus as thistechnology is
://www.senseandsensation.com/2012/03/taxonomy-of-creative-design.html. [Accessed 08 August 2014].[10] C. E. Hmelo-Silver, "Problem-Based Learning: What and How do Students Learn?," Educational Psychology Review, vol. 16, no. 3, 2004.[11] D. R. Brodeur, P. W. Young and K. B. Blair, "Problem-based learning in aerospace engineering education," in American Society of Engineering Education, Montreal, Canada, 2002.[12] H. Yoon, A. Woo, D. F. Treagust and A. L. Chandrasegaran, "Second-Year College Students’ Scientific Attitudes and Creative Thinking Ability: Influence of a Problem-Based Learning (PBL) Chemistry Laboratory Course," in Affective Dimensions in Chemistry Education, Springer Berlin Heidelberg, pp. 217-233.[13
links between HESD (higher education forsustainable development) and the surrounding community.6 Focused specifically onengineering education, qualitative studies were conducted to formulate the framework ofcritical sustainability concepts.7-8Several years ago, the President of Alfred University signed the American College andUniversity Presidents’ Climate Commitment (ACUPCC).9 In 2013, the Universityintroduced the Renewable Energy Engineering (RNEW) program and established severalnew laboratory setups. These setups include a large solar simulator with a panel testingsize of about 1.5 m X 1.8 m, a wind tunnel with a sample space of nearly 0.5 m X 0.5 mX 0.8 m, and a water tunnel with a sample space of about 0.3 m X 0.3 m X 1.1 m.The University
470 Distance Learning Requirements for Vetting Curricula Gordon W. Romney1, Baird W. Brueseke2 1School of Engineering and Computing National University, San Diego, California,/ 2iNetwork Inc. San Diego, CaliforniaAbstractEducational objects (eObjects) such as YouTube laboratories and pod lectures deluge the internet.Additionally, MOOCs and distance learning introduce escalating challenges for higher educationand institutional educators, particularly, in the area of course content validation. How can theseeObjects be
tools they need to make good decisions.1. Living and Working with Robots (7 hrs class) The course is motivated by the pervasive use of robots (and automation) and the impact on our lives. The use of robots has evolved from “hidden” uses in factories, space and underwater exploration, and laboratories to more direct consumer contact in applications such as surgery (many local hospitals have a Da Vinci surgical robot), housekeeping (the $200 Roomba robot is available at Target stores), lawnmowers (anyone with $3000 can buy the Husqvarna autonomous, solar-powered lawnmower), entertainment (toy robots), companionship (Genibo QD is an autonomous pet robot that displays emotion, mood, intelligence, character, and intimacy through
theconcept and indicates its importance.Measurement ErrorStudents are normally taught about measurement error, but either fail to understand the conceptor forget it when reporting results for lab experiments. Some seem to believe their measurementsare much more accurate than they actually are. In many cases, university lab equipment may beold, outdated, and out of calibration. Experiments conducted in industry may be done to generateperformance data, demonstrate the feasibility of a new technology, determine operating limits, ordemonstrate compliance with permits and standards. In undergraduate laboratories, none of thoseare normally the objective which is usually to demonstrate a phenomenon or concept. Therefore,high accuracy is not normally an
faculty in the design and development of the teaching modules.Professional Development: Community college faculty participated in a research orientation,training in research protocol, laboratory safety, and scientific ethics, group meetings, andseminars on context-based pedagogical methods and online education. Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education 573Together, this breadth of summer experience made this a broad learning experience that took fulladvantage of the strengths of the university.Green and
25 (17.2%) 27 (18.6%) 42 (29.0%) 51 (35.2%) 2.18 (1.10)Short collaborative active learning activities in lecture, 22 (15.0%) 30 (20.4%) 45 (30.6%) 50 (34.0%) 2.16 (1.06)such as working in pairs on a problemDiscuss sociotechnical issues, such as climate change 13 (9.0%) 39 (27.1%) 50 (34.7%) 42 (29.2%) 2.16 (0.95)or internet security, to contextualize course contentIn-class demonstrations for other purposes 18 (12.9%) 28 (20.0%) 50 (35.7%) 44 (31.4%) 2.14 (1.01)Labs, designed to strengthen experimental skills 31 (21.4%) 22 (15.2%) 26 (17.9%) 66 (45.5%) 2.12 (1.21)Laboratory reports
an undergraduate he studied hardware, software, and chemical engineering. He ultimately received his Ph.D. from Oregon State University in Chemical Engineering. He is currently interested in the development of technology to study and promote STEM learning.Dr. Debra May Gilbuena, Unaffiliated Debra Gilbuena has an M.BA, an M.S, and four years of industrial experience including a position in sensor development. Sensor development is also an area in which she holds a patent. She has engineering education research focused on student learning in virtual laboratories and the diffusion of educational interventions and practices.Dr. Jeffrey A Nason, Oregon State University Jeff Nason is an associate professor of
Importance Satisfaction 1 Industrial Engineering courses at SIUE 2.94 2.19 2 Industrial Engineering courses at ITU 2.81 1.69 2 Industrial Engineering facilities at SIUE 2.81 2.56 3 Industrial Engineering technical elective choices at ITU 2.75 1.56 4 Industrial Engineering technical elective choices at SIUE 2.69 1.50 5 Industrial Engineering laboratories at SIUE 2.56 1.93 6 General Engineering courses at SIUE 2.12 2.13 7 General Education courses at SIUE
twoareas namely (i) those that have “simulations” and (ii) those that have “authenticinvolvement.” Simulations consist of contrived situations that are carefully designedto meet selected learning objectives and are under close faculty control. The authenticinvolvement activities expose the student to real situations with totally open-endedprojects, although the faculty may influence the selection of the situations and setperformance criteria to assure that positive learning objectives are met. Authenticinvolvements use outside clients while simulations use experimental laboratories,guided design, or case studies. In an article in 2006, Davis et al. [6] defines “thepurpose of the capstone engineering design course is to provide students
, 2004), “distributed cognition” (Hutchins, 1995), or “situated cognition” (Lave,1988; Lave and Wenger, 1991), and the cognitive-ethnographic methods we apply follow fromthat approach. In real-world scenarios, such as engineering design, much of the work isperformed by groups of individuals interacting with each other, mediated by tools and artifacts;thus, an adequate account of the moral judgments in engineering requires that we examine thegroup as the appropriate unit of analysis, not individuals considering hypothetical or historicalcases by themselves in the classroom or laboratory. Furthermore, we move from analyzing theindividual, where we can really only see the input and output of the cognitive process and haveto infer the structure of
their teaching. The changes coveredfour aspects: course syllabus, classroom discussion, assignments, and exams, which arediscussed in detail below.Course syllabus.Compared to their pre-workshop syllabi, participants’ revised syllabi were more focused ondetails related to the importance of academic integrity and university rules. Doug explained howhe modified his syllabus to clarify expectations for specific aspects of his course: I went from one line to a whole page, very, very clearly spelling out for the different aspects of the courses. And these courses that I teach have laboratory work, they have lectures, they have homework, they have exams, they have everything. I carefully spelled out what the expectations were
day the students were given a brief lecture showing how engineers use thetechnologies they were working with and were introduced to the state of the art including videoclips from work being done by researchers at various universities and tours of laboratories atECU. They then had to put this knowledge together to build a robot that could navigate a linedcircular path while determining how far it had traveled along that line, avoid running into otherrobots on the line, and determine what the depth was of some artificial terrain designed tosimulate the ocean floor. The students worked in pairs and in some cases groups of three toaccomplish the daily tasks
Learning and Development, Prentice Hall.18. Abdulwahed, M. and Nagy, Z. K. (2009), Applying Kolb's Experiential Learning Cycle for Laboratory Education. Journal of Engineering Education, 98: 283-294. doi: 10.1002/j.2168-9830.2009.tb01025.x19. Sharp, J. E., Harb, J. N. and Terry, R. E. (1997), Combining Kolb Learning Styles and Writing to Learn in Engineering Classes. Journal of Engineering Education, 86: 93-101. doi: 10.1002/j.2168-9830.1997.tb00271.x20. Stice, J. E. (1987), Using Kolb’s Learning Cycle to Improve Student Learning. Engineering Education, 77.21. Brown, A. O. (2004), Undergraduate Finite Element Instruction using Commercial Finite Element Software Tutorials and the Kolb Learning Cycle. Proceedings of the
courses in thermodynamics, heat transfer, energy systems laboratory, cryogenics, and vacuum technology.Mr. David J Gagnon, University of Wisconsin - Madison David J. Gagnon (University of Wisconsin, Madison) is a Discovery Fellow and program director of the Mobile Learning Lab in the Wisconsin Institutes for Discovery at University of Wisconsin, Madison. He directs a team of educational researchers, software engineers, artists and storytellers that explore the inter- sections of learning science and media design, specializing in mobile media, video games and simulation. David is also the Director of the ARIS project, a free and open tool that allows anyone to produce mo- bile games, stories and tours. He is also active
qualitative examination of graduate advising relationships: The advisee perspective. Journal of Counseling Psychology, 50(2), 178.8. McCuen, R.H., Akar, G., Gifford, I.A., & Srikantaiah, D. (2009). Recommendations for improving graduate adviser-advisee communication. Journal of Professional Issues in Engineering Education and Practice, 135(4), 153-160.9. Lovitts, B. E. (2001). Leaving the ivory tower: The causes and consequences of departure from doctoral study. Lanham, MD: Rowman & Littlefield.10. Raoul Tan, T. L. & Potocnik, D. (2006). Are you experienced? Junior scientists should make the most of opportunities to develop skills outside the laboratory.” EMBO Reports. 7, pp. 961–964.11. Tomazou, E. M
Institute of Technology in 2000. Currently, she serves on the Editorial Board of the Springer Wireless Networks Journal and formerly on the editorial boards of IEEE Transactions on Mobile Computing and Elsevier Ad Hoc Networks Journal. Her engineering education research interests are the status of under- represented minority groups and women in engineering as well as the impact of online learning on student proficiency in engineering laboratory courses. Page 26.862.1 c American Society for Engineering Education, 2015 How the Pathway to Engineering Affects Diversity in the
. Marzano, R., & Heflebower, T. (2012). Teaching & Assessing 21st Century Skills. Bloomington, INI: Marzano Research Laboratory.2. Wulf, W. (2006). Diversity in Engineering. Women in Engineering ProActive Network.3. Kimrey, J. (2013, July 26). Engineering futures are always bright. (Chron) Retrieved January 03, 2013, from http://www.chron.com/jobs/article/Engineering-futures-are-always-bright-4688904.php4. M. Knight and C. Cunningham, "Draw an Engineer Test (DAET): Development of a Tool to Investigate Students Ideas about Engineers and Engineering," ASEE Annual Conference and Exposition, 2004.5. Fussell Policastro, E. (2009, April). Engineers can change the world. (InTech) Retrieved January 03, 2014, from
challenges identified in a recent report by theNational Research Council 8.According with the conclusions of the Frontiers in Chemical Engineering project a newcurriculum that is to incorporate Multi-scale aspects should 6: • Integrate all organizing principles and basic supportive sciences throughout the educational sequence and should move from simple to complex • Be consistently infused with relevant and demonstrative laboratory experiences • Provide opportunities for teaming experiences and use of communications skills (written, oral, graphic) • Address different learning styles • The curriculum should be consistently infused with relevant and demonstrative examples
engineers for 2020 and beyond. Available from http://www.engineeringchallenges.org/cms/7126/7639.aspx4 Merriam, S., & Bierema, L. (2014). Adult learning: Linking theory and practice. San Francisco, CA: John Wiley & Sons, Inc.5 Arkes, J. (1999). What do educational credentials signal and why do employers value credentials? Economics of Education Review, 18, 133-1416 Morell, L. (2012). Engineering education in the 21st century: Roles, opportunities, and challenges. Hewlett Packard Laboratories. Available from http://luenymorell.files.wordpress.com/2010/12/morell- eng-edu-in-21st-cent-roles-opport-and-challenges.pdf7 Young, J. (2012). Badges earned online
Paper ID #12397A First-Year Project-Based Design Course with Management Simulation andGame-Based Learning ElementsMr. Daniel D. Anastasio, University of Connecticut Daniel Anastasio received his B.S. in Chemical Engineering from the University of Connecticut in 2009. He is pursuing a Ph.D. in Chemical Engineering at the University of Connecticut while acting as a co- instructor for the chemical engineering capstone laboratory and the first-year foundations of engineering course. His research interests include osmotically driven membrane separations and engineering peda- gogy.Ms. Malgorzata Chwatko, University of
process and design educational and research programs that bring the concepts of innovation and entrepreneurship into the classroom and the research laboratory. Dr. Christodoulatos is leading the implementation of academic entrepreneurship through the creation of innovative curric- ula and overseeing the commercialization of the Institute’s intellectual property. He has been teaching and performing research since 1988 and has managed over a hundred and fifty major research projects exceeding $30M. Dr. Christodoulatos has developed and delivered entrepreneurship curricula and special- ized innovation and entrepreneurship workshops for faculty, administration and technical entrepreneurs in Malaysia, Brunei and Taiwan. He
undergraduate computer engineering students is not at all clear.This is in part due to the nature of the discipline, which has continually changing technology andorganization. In this paper, we describe a project-based computer engineering curriculum, whichcomplements more traditional lectures and laboratory courses. We compare this curriculum withcurricula from other small universities in the US. We show how our curriculum is in agreementwith a mixed-mode approach that combines projects with traditional techniques. An assessmentof student outcomes is presented and successes and limitations are discussed.Critical issues in engineering educationIn 2003, Mills and Treagust2 summarized the critical issues in engineering education asidentified by
ool_opens_new_makerspace University of Colorado http://www.colorado.edu/envd/resources/c12A CINC Boulder inc University of Colorado12B ITLL http://itll.colorado.edu/about_us Boulder http://engineering.dartmouth.edu/esc/desi gnlabs/ Unified Projects13 Dartmouth College http://engineering.dartmouth.edu/esc/ Laboratory https://engineering.dartmouth.edu/safety
students in allsections of the course. As the instructors at UM note, not all faculty have access to an on-campuseducational theater group. Even so, we were inspired enough to make our own presentation. Ourintroduction to engineering course is divided into a portion that is team-based, a weekly lecture,and a portion that is conducted in a more traditional laboratory-and-recitation format. Thecourse’s instructional team itself is team-based, which means we value the power of teams at thesame time that we incorporate ideas from a wide range of sources. It seemed to us that even aneffort that was not supported by an educational theater group would be beneficial to initiating aconversation about teamwork.A. Literature ReviewAlthough much of the
teamwork in their courses throughassignments and laboratory experience. By sharing ideas with classmates, students develop abetter understanding of the concepts being taught while keeping each other accountable. Page 26.120.10McDonald (27) also explained that, in cooperative learning, students work together to maximizeboth their own learning and group members learning. Collaboration improves not only thestudent’s knowledge and memory but also his/her confidence in both themselves and the class. Aclass of junior electronic students were divided into groups of two to four students. Thesestudents kept journals throughout the semester on their