, explaining why the design is notergonomic, and offering possible solution(s) to make the design/part ergonomic. Besidesengaging the students, the assignments allowed the instructor to directly assess students’learning of the concepts from the theory lectures. The students found the assignmentsinteresting and were more engaged to the topic as those ergonomic examples relate totheir daily life. The enthusiasm and interests of the students in those exercises werereflected in the course evaluation as well. It can be concluded that the exercises engagedstudents more intensively in the course and helped them to understand the applications ofergonomics. Finally, the assignments and final term paper/case study helped to achieveseveral learning outcomes
torched for thesoldering process (Fig. 8). Upon construction, the trusses are loaded into a compressive test untilfailure. A post-destructive analysis is performed to determine the cause of failure (joint ormember failure), a comparison of actual and predicted loads, and if the predicted failingmember(s) was the first to fail.The primary requirements for the truss design was to span 14 inches, with 0.5 inches of supportat each end, support a theoretical minimum load of 325 lbs., and use no more than 84 linearinches of brass. The metrics of performance are: The predicted max load was compared to actualtesting max load, to depict the discrepancy between theory and practiced based on factors such ascraftsmanship, joint methods, etc.; the overall
(hereinafterreferredtoasScholars)selectedfortheprogramwillreceiveone-yearscholarships,withanoptiontocontinuecontingentuponreceiptofadditionalprogramfunds:1.Tuition2.Mandatoryorgeneralfeesasdeterminedbytheinstitution.Optionalormiscellaneousfeeswillnotbecovered.3.Bookallowance4.TravelfundingforonecybersecurityconferenceperacademicyeartocontinentalUS-heldconferencesonly.5.One-timecostoflaptoportabletforcourseworkand/orelectronicbooks(returningscholarswhocontinuefromprioryear(s)and/orcontinueforanadditionaldegree/certificatewillonlyreceiveonelaptop)Rightnowthisprogramisfocusedonourdistanceeducation–offeredMasterofScienceinInformationSystemsprogram,butweareworkingtoexpandourdistance
Prism 24:2, p.24-35.Olson, S., National Academy of Engineering, & Prospects, and Priorities (Forum). (2016). Grand Challenges for engineering : Imperatives, prospects, and priorities : summary of a forum. Washington, D.C.: National Academies Press.Ramakrishna, B.L. (2017) “NAE Grand Challenges for Engineering” http://www.engineeringchallenges.org/14365/GrandChallengeScholarsProgram.aspx Retrieved 03/07/2017.
encourage more women andunderrepresented students to pursue engineering and to consider more fully the wide range ofengineering disciplines available.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1505006. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.ReferencesBandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior andHuman Decision Processes, 50(2), 248-287.Wharton, A. (1992). The social construction of gender and race in organizations: A socialidentity and group mobilization perspective. In P. Tolbert & S
, 32(1), 17-19.10. Bolyard, J., & Moyer-Packenham, P. S. (2008). A review of the literature on mathematics and science teacher quality. Peabody Journal of Education, 83, 509-535.11. National Research Council. (2006). National science education standards. Washington, D.C.: National Academy.12. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author.13. Center for Educational Policy (CEP). (2007). Choice, changes, and challenges: Curriculum and instruction in the NCLB era. Washington, DC: CEP.14. Czerniak, C. (2007). Interdisciplinary science teaching. In S. Abell & N. Lederman (Eds.), Handbook of research on science education, 537–559. New York: Routledge.15
understand the rigor and intensity of anengineering curriculum before committing to the engineering bachelor degree.ChallengesSimilar to most academic programs, even successful AS/BE programs experiencechallenges that require monitoring. Notable challenges that can impact a dual/jointprogram include having consistent data, alignment of curriculum, providing adequatesupport services, and supporting student with academic difficulties.Data ConsistencyThe lack of conformity with regards to data poses significant challenges when dealingwith different institutions. One major question is whether a joint/dual degree programstudent should be classified as such when s/he first enters into a program at thecommunity college or at some defined stage afterwards
publicartifact (an advertisement, a tv clip, song lyrics, part of a policy debate, a toy) that representsdisability and analyze the representation based on our course readings and discussions. Onestudent might choose to bring in the catalog pages that depict an American Girl doll that wearsan insulin pump, another might show a YouTube video of a child receiving a cochlear implant,and a third might play part of 3OH!3’s song “Don’t Trust Me” that includes the lyrics “Shush,girl. Shut your lips. / Do the Helen Keller and talk with your hips.” As students share theseartifacts with their peers, they are honing their ability to see how representation matters indisability studies. The presentation assignment also asks them to look beyond the good
Strongly Agree Q12. I am able to develop my active learning attitude. Strongly Disagree 1 2 3 4 5 Strongly Agree Q13. I am able to enhance my lifelong learning skills. Strongly Disagree 1 2 3 4 5 Strongly Agree Q14. I have positive working relationships with faculty mentor (s) and peers. Strongly Disagree 1 2 3 4 5 Strongly AgreeIt is important to note that the future iterations of the survey will include a modified version ofthese questions to incorporate the role of the program in development of the listed skills. Inaddition, the future survey will be administered at the beginning and at the end of the SUREprogram to
—an effort that we have already begun. ● Fully implement the portfolio initiative.References[1] Harding, T., Mertz, T. E., Genereux, W. E., Guzek, S. A., Bower, T. (2017). Reinventing a computer technology curriculum to meet the needs of students and future employers. Proceedings of the 2017 American Society for Engineering Education Annual Conference & Exposition, Columbus, Ohio. Retrieved from https://peer.asee.org/28790.[2] Bureau of Labor Statistics, U.S. Department of Labor (2018). Occupational Outlook Handbook, Web Developers. Retrieved from https://www.bls.gov/ooh/computer-and- information-technology/web-developers.htm.[3] Koo, T. S. (2012). Integrating design
in Design-Based Learning Environments: The Case of Engineering Education," Computers & Education, 64(0), pp.143-152.[2] Carr, R. L., Bennett Iv, L. D., and Strobel, J., 2012, "Engineering in the K-12 Stem Standards of the50 U.S. States: An Analysis of Presence and Extent," Journal of Engineering Education, 101(3), pp. 539-564.[3] Pruitt, S., 2014, "The Next Generation Science Standards: The Features and Challenges," Journal ofScience Teacher Education, 25(2), pp. 145-156.[4] Porter, M. E., and Heppelmann, J. E., 2015, "How Smart, Connected Products Are TransformingCompanies," Harvard Business Review, 93(10), pp. 96-114.[5] Conte, G., Scaradozzi, D., Donnini, R., Pedale, A., “Building simulation/emulation environments for homeautomation
would not traditionally be considered engineering. The instructors who developedthese profiles felt that it was important to showcase this range of jobs to students to help themunderstand that the skills learned while studying engineering can be useful even in what wouldbe considered a non-engineering career and that career shifts are not unusual.To compile each profile, each person whose job was featured was asked to provide as much ofthe following information as they were willing to share: 1. Name and Job Title 2. Description of employer 3. Type of engineering degree(s) 4. Description of a typical day at work 5. What type of skills are important for the job? 6. If not working in an engineering field, how did having an engineering
& Exposition , Salt Lake City, Utah. https://peer.asee.org/29920[3] Komives, S., Longerbeam, S., Owen, J., Mainella, F., & Osteen, L. (2006). A Leadership Identity Development Model: Applications from a Grounded Theory. Journal of College Student Development,47(4), 401-418.[4] Wenger, E. (1998). Communities of practice: Learning, meaning, and identity: Cambridge university press.[5] Greeno, J. (2006). Learning in activity. In Sawyer, K. (Ed). Cambridge handbook of learning sciences (pp. 79–96). New York, NY: Cambridge University Press.[6] Johri, A., Olds, B. M, & O’Connor, K. (2013). Situative Frameworks for Engineering Learning Research in A. Johri & B. M. Olds (1). Cambridge Handbook of
focused on an engineering educational game that emphasized trussstructural stability topics covered in the traditional undergraduate Statics curriculum. The goalof the game is to assist students in developing engineering intuition on how truss structuresbehave when subjected to loads. The software tool is based on finite strain theory that enablesthe user to visual material and geometric nonlinearities and dynamic movement of failedstructure. Users play the game by positioning bars and joints to construct a truss structure that isable to support an external mass and the weight of the truss structure itself. The structure theplayer builds must consist of joints and bars, where the bars are connected via the joints. Theplayers win nut(s) based the
) observing, (4)experimenting, and (5) networking. All of these, they argue, can be deliberately cultivated (asopposed to being innate). The broader category they use to describe the confluence of these skillsis "creative intelligence, which enables discovery yet differs from other types of intelligence[because it] engage(s) both sides of the brain.” Associating, which they define as “the ability tosuccessfully connect seemingly unrelated questions, problems, or ideas from different fields,” isthe culminating skill. They liken associating to “a mental muscle that can grow stronger by usingthe other discovery skills. . . .The more diverse our experience and knowledge, the moreconnections the brain can make.” The article is only seven pages long and is
level of student engagement in our extracurricular activities.References1. Abeysekera, K., Davari, S., Yue, K., Brown, E., Kent, M., Betts, P., & Meeks, J., Success through AcademicRecognition (STAR): Sustaining and Expanding UHCL and SJC TWD Computer Science Scholar Program, thethird annual Texas Engineering and Technology Consortium Best Practices Conference, Dallas, Feb. 28, 2008, pp 7-9. www.thecb.state.tx.us/index.cfm?objectid=8828378A-D358-8867-5E14BDC65C9860B92. Chun-Mei Zhao and George D. Kuh, “ADDING VALUE: Learning Communities and Student Engagement”,Research in Higher Education, vol. 47, 2006, pp 89-1093. Jolly, Campbell, and Perlman, “Engagement, Capacity and Continuity: A Trilogy for Student Success” (GEFoundation
competitive at the event in New Orleans at the end of May 2016.Reference 1. Archibald, M., Clauss, M., and Dupree, J., “Entrepreneurship in Capstone Design Using Interdisciplinary Teams and a Business Plan Competition,” Proceedings of the 2005 American Society for Engineering Education Annual Conference and Exposition. 2. Trevisan, M., Davis, D., Beyerlein, S., McCormack, J., Thompson, P., Leiffer, P., Davis, H., Howe, S., LeBeau, J., Gerlick, R., Brackin, P., and Khan, M. J., “Integrated Design Engineering Assessment and Learning System (IDEALS): Piloting Teamwork and Professional Skills Development Instructional Materials,” (2012) American Society for Engineering Education. 3. Oladiran, M., Uziak, J
examples of community needs as well as success storieswhere sustainability was considered. The group visited 6 different wineries (see Figure 4) tolearn about their processes, best practices and current issues with respect to sustainability. Theproduction of wine in Ensenada dates back to the early 1900’s when Russians from the Molokangroup established in the Guadalupe Valley. The quantity and quality of the wines has increaseddramatically in the last decades; this has brought an economic boom as it attracts tourism anddetonates other activities such as arts, sports, gastronomy, culture, entertainment and education.This growth challenges the resource in the region, specifically water. Figure 4 Field trips to the Valley of
that are probably typical of many senior design programs. These included • A process that allowed some students to assume a large portion of the project system design while others minimized their contributions, resulting in variable learning, • A system that made it difficult to evaluate individual students’ work as a team member, • Inconsistent and sometimes untimely mentoring of technical design work because this occurred only as-requested by groups or after identification by another faculty member, also resulting in widely variable learning experiences, • A very heavy mentoring load for the year-long course instructor(s) that gave the course a reputation of being a highly undesirable assignment
(IRB2015-0672D).References 1. The Innovative and Entrepreneurial University, retrieved from https://www.eda.gov/pdf/the_innovative_and_entrepreneurial_university_report.pdf2. University Maker Spaces” Discover, Optimization and Measurement of Impacts, Morocz, R. J., Levy, B. D., Forest, C. R. , Nagel, R. L. Newstetter, W. C., Talley, K., G., Linsey, J. S. 2015 ASEE3. Barrett, T. W., Pizzico, C. M., Levy, B., Nagel, R. L. A Review of University Maker Spaces, 2015 ASEE, June 2015, Seattle, WA.4. Forest, C., et al. The Invention Studio: A University Maker Space and Culture. Advances in Engineering Education, Summer 2014.5. Tate, M., Norris, S. A Maker Space of Their Own, Prism, October 20146. Rees, P., Olsom, C
standard resultsSuppose a conduction electron in a quantum dot emits a photon with Calculation not statisticallyfrequency of 600 THz as it drops to the valence band. Determine its band significantgap in units of both J and eV. p=0.68Calculate the Reynolds number of a 100 nm diameter spherical fullerene Calculation not statistically(i.e., buckyball) falling by gravity at 1 m/s in air (density = 1.23 kg/m3, significantviscosity = 1.72 x 10–5 Pa-s). p=0.81Name and
., Bost, L. F., Hermann, C. D., Forest, C. R. (2012). A quantitative analysis of the effects of a multidisciplinary engineering capstone design course. Journal of Engineering Education, 101(4), 630-656. 6. Howe, S. and Wilbarger, J. (2006). 2005 National survey of engineering capstone design courses. In: 2006 ASEE Annual Conference and Exposition. Chicago, Illinois. 7. Klukken, P. G., Parsons, J. R., Columbus, P. J. (1997). The creative experience in engineering practice: Implications for engineering education. Journal of Engineering Education, 86(2), 133-138. 8. Liston, C., Peterson, K., Ragan, V. (2008). Evaluating practices in informal science, technology, engineering and mathematics (STEM) education
. References1. Bloodgood, J., Turnley, W., and Mudrack, P. (2010). Ethics Instruction and the Perceived Acceptability of Cheating. Journal of Business Ethics, 95(1), 23-37.2. Williams, S. D. and T. Dewett: 2005, ‘Yes You Can Teach Business Ethics: A Review and Research Agenda’, Journal of Leadership and Organizational Studies 12(2), 109–120.3. Merriam-Webster Dictionary (2015). Retrieved on October 1, 2015. http://www.merriam- webster.com/dictionary/ethics.4. Harris, C. E., Davis, M., Pritchard, M. S. and Rabins, M. J. (1996), Engineering Ethics: What? Why? How? And When? Journal of Engineering Education, 85: 93–96. doi: 10.1002/j.2168-9830. 1996.tb00216.x5. Desplaces, D., Beauvais, L., Melchar, D., and Bosco, S
Paper ID #16783Teaching Software Requirements Inspections to Software Engineering Stu-dents through Practical Training and ReflectionMr. Anurag Goswami, North Dakota State University Anurag Goswami is a Ph. D. Candidate in the department of Computer Science at North Dakota State University. His main research interests include empirical software engineering, human factors in software engineering, and software quality.Dr. Gursimran Singh Walia, North Dakota State University Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software
. M., Eris, O., Frey, D. F., & Leifer, L. (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education, 34(1), 103–120.5. Star, S. L., & Griesemer, J. R. (1989). Institutional Ecology , ’ Translations ’ and Boundary Objects : Amateurs and Professionals in Berkeley ’s Museum of Vertebrate Zoology , 1907-39. Social Studies of Sciences, 19(3), 387–420.6. Galison, P. (1999). Trading Zone: Coordinating Action and Belief. In M. Biagioli (Ed.), The Science Studies Reader (pp. 137–160). New York: Routledge.7. Grinter, L. E. (1956). Report on the evaluation of engineering education. Journal of Engineering education, 46, 25-63.8. Dutson, A. J., Todd, R. H., Magleby, S. P., & Sorensen, C. D
, and multivariable control. Dr. Rodriguez has given over 70 invited presentations - 13 plenary - at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles
://www.ifmachines.com/, accessed March 2015.3. Adafruit (2015) “About Us,” http://www.adafruit.com/about, accessed March 2015.4. Adafruit (2015) “Wearable Electronics,” http://www.adafruit.com/beckystern, accessed March 2015.5. Goulev, P., Stead, L., Mamdani, E. and Evans, C. (2004). “Computer aided emotional fashion.” Computers & Graphics. 28(5), 657–66.6. Catrysse, M., Puers, R., Hertleer, C.,Van Langenhove, L., Van Egmond, H., Matthys, D. (2004). “Towards the integration of textile sensors in a wireless monitoring suit.” Sensors and Actuators A: Physical, 114(2-3), 302– 311.7. Dunne, L.E., Brady, S., Smyth, B., Diamond, D. (2005). “Initial development and testing of a novel foam-based pressure sensor for wearable
of the historical case studiespresented in class as well as to apply the risk assessment tools developed during the seminar.Final papers were judged using the same rubric as the initial writing assignment. On averagestudents’ understanding of ethical concepts more than doubled to 4.3 out of 5 as did their abilityto apply risk assessment tools to ethical problems (4.1 out of 5).AcknowledgmentsThe development of this seminar was partially supported by the John J. and Dorothy Byrne FirstYear Seminar Program Endowment at Rutgers University.References1 Haws, D.R. (2001). Ethics Instruction in Engineering Education: A (Mini) Meta-Analysis. ASEE Journal ofEngineering Education, 90:2, 223-229.2 Thiel, C. E., Connelly, S., Harkrider, L., Devenport, L
and team activities that directly contributed to theachievement of learning outcomes. The effectiveness of peer evaluation will also be assessed inthe future.References Page 26.1074.101. ABET, Engineering Accreditation Commission, 2010, “Criteria for Accrediting Engineering Programs,” ABETInc, Baltimore, MD.2. Wood, D., Bruner, J. S., Ross, G., 1976, “The Role of Tutoring in Problem Solving,” Journal of Psychology andPsychiatry, 17, pp. 89-100.3. Bender, W. N., 2012, “Project-Based Learning: Differentiating Instruction for the 21 st Century,” Corwin Press.4. Boss, S., Krauss, J., 2007, “Reinventing Project-Based Learning,” International
. Prosser. Engineering students' conceptions of and approaches to learning through discussions in face-‐to-‐face and online contexts. Learning and 63 19.9% Instruction, 18(3), 267-‐282. 2008. R.A. Ellis, P., Goodyear, M. Prosser, A. & O'Hara. How and what university students learn through online and face-‐to-‐face discussion: Conceptions, intentions and approaches. Journal 51 16.1% of Computer Assisted Learning, 22(4), 244-‐256. 2006. S. Ozkan & R. Koseler. Multi-‐dimensional students’ evaluation of e-‐learning systems in the higher education context: An empirical