cybersecurity, such as artificial immune systems.Dr. Charles Lam, California State University - Bakersfield Dr. Charles C.Y. Lam is a Professor in the Department of Mathematics at CSU Bakersfield. Dr. Lam received his Ph.D. in Combinatorics and Optimization from the University of Waterloo. His research areas are in cryptography, digital watermarking, and combinatorics. He has mentored various undergraduate student researchers as a faculty mentor for the LSAMP and McNair Scholars Program. He has extensive experience in curriculum assessment, undergraduate curriculum development, and student mentoring.Dr. Hani Mehrpouyan P.E., California State University - Bakersfield \Hani Mehrpouyan\ (S’05-M’10) received his B.Sc. honours degree
various locations around theUnited States. The courses referenced by the surveyed instructors were primarily engineeringdesign-based project courses, but did also include other technical courses in engineering andcomputer science. Data Collection and Analysis: An open-ended survey was administered through the onlinesurveying tool Qualtrics. Each instructor was asked the following questions: 1. Please describe your implementation of standards-based grading in your course(s), including best practices. 2. Please describe any barriers or obstacles you have faced or currently face in your implementation of standards-based grading. 3. What benefits do you believe students gain from your course(s) using standards
majors in a service course will bepiloted based off of this first-year experience course project. Similar data will be collected tomeasure effectiveness.Bibliography[1] S. Lee, S. Kastner, and R. Walker. Engineering for The Future: Mississippi State University’s Cyber SummerPrograms. ASEE SE Annual Conference, 2016, in press at http://se.asee.org/.[2] D. Reese, T.J. Jankun-Kelly, L. Henderson, and S. Lee, “Impact on Retention from a Change in UndergraduateComputing Curricula,” in Proceedings of the 2013 ASEE Southeast Section Conference, Cookeville, TN, 2013.[3] M. Biggers, A. Brauer, and T. Yilmaz. “Student perceptions of computer science: a retention study comparinggraduating seniors with CS leavers,” in Proceedings of the 39th SIGCSE
interventions because of theimportance of mathematics knowledge and skills in science and engineering coursesrequired for successfully completing the coursework leading to a degree in engineering.Recruitment and retention of engineering students is vital to the progress of Americaneconomy and ability to solve problems to address the needs of an ever-changingtechnological world1, 2. College calculus success is highly correlated to engineeringretention3. Bridge programs designed to increase success for engineering majors werepopular in the 1990's but then waned to some degree. A thorough classification ofprograms in use was conducted in 2002, but insufficient data was reported for researchersto conduct a meta-analysis4. Several common characteristics of
work has been financed by FEDER funds through the Competitivity Factors OperationalProgramme - COMPETE: POCI-01-0145-FEDER-007136 and POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope:UID/CEC/00319/2013.References[1] Simão, J. V., Modernização do ensino superior da ruptura à excelência, , Fundação das Universidades Portuguesas, 2003.[2] Simão, J. V., Santos, S. M. & Costa, A. A., Ensino superior: uma visão para a próxima década, Gradiva Publicações Lda., 2003.[3] Simão, J. V., Santos, S. M. & Costa, A. A., Ambição para a Excelência A oportunidade de Bolonha, Gradiva Publicações Lda., 2005.[4] Leandro S. Almeida, Rosa
characteristics of solar cells and isa powerful teaching tool to facilitate hands-on experiments to the students, thus achievingimproved student learning.AcknowledgementsThe author would like to acknowledge financial support under the ‘Course Design EnhancementFund (CDEF)’, 2015 awarded by the ‘Center for Excellence in Teaching and Learning (CETL)’,Kennesaw State University for this work. Also, the author would like to thank senior ElectricalEngineering undergraduate students, Alan Gregg Jr., Mathew Ginn, and Duane Wright for theirhelp in building the prototype solar module.References[1] http://www.thesolarfoundation.org/national/[2] http://fortune.com/2015/01/16/solar-jobs-report-2014/[3] S. Das, R. N. Bhattacharya, and K. C. Mandal, “Performance
, “A formal approach to handling conflicts in multiattribute group decision making,” J. Mech. Des., vol. 128, no. 4, pp. 678–688, 2006.[4] M. T. H. Chi and M. Menekse, “Dialogue patterns that promote learning,” in Socializing Intelligence through Talk and Dialogue, L. B. Resnick, C. Asterhan, and S. N. Clarke, Eds. Washington DC: AERA, 2015, pp. 263–274.[5] S. Purzer, “The Relationship Between Team Discourse, Self-Efficacy, and Individual Achievement: A Sequential Mixed-Methods Study,” J. Eng. Educ., vol. 100, no. 4, pp. 655–679, 2011.[6] D. Kuhn, “Thinking together and alone,” Educ. Res., p. 0013189X15569530, 2015.[7] A. Ram, “A theory of questions and question asking,” J. Learn. Sci., vol. 1, no. 3–4
. Hariharan, B. (2011). Innovating Capability for (Deweyan) Continuity of Inquiry in the Face of (Zimbardoean)Discontinuity Within the Context of Engineering Education Research: Fostering Collaborations with UnderservedCommunities in the Developing Regions of the World. Department of Mechanical Engineering Stanford University.5. Riley, D. (2008). Chapter 4. Toward a More Socially Just Engineering. In Engineering and social justice (p. 111).San Rafael, Calif.: Morgan & Claypool.6. Cumming-Potvin, W., Currie, J., (2013), Towards New Literacies and Social Justice for Engineering Education,International Journal of Engineering, Social Justice, and Peace, 2(1), 21-37.7. Streiner, S., Cunningham, S., Huang, S., Levonisova, S., Matherly, C., Besterfield
University of Illinois at Urbana-Champaign. This work was also supported by the National Science Foundation under grantDUE-1347722. The opinions, findings, and conclusions do not necessarily reflect the views ofthe National Science Foundation or the author’s institution.References1 Beach, A., Henderson, C. & Finkelstein, N. Facilitating change in undergraduate STEM education: Implications from an analytic review of literature. Change: The Magazine of Higher Learning 44, 52‐59 (2012). 2 Borrego, M., Froyd, J. E., Henderson, C., Cutler, S. & Prince, M. Influence of engineering instructors' teaching and learning beliefs on pedagogies in engineering science courses. International Journal of Engineering
(2014)10The longer Park (2016) was published since Park (2013)7, so the shorter book will not beincluded. Other titles in engineering economy have lower market shares than the included books.Note that reference #s are included here, but due to the large number of repetitive labels andreferences, the texts are simply referred to by author and edition.We have chosen to focus on the content of formal examples that are presented as part of eachchapter rather than homework problems for two reasons. First, it is much clearer which approachor approaches are being used. Second, since several texts have total problem sets ranging fromnearly a 1000 to over 1500, using problems as a basis would be overwhelming.In analyzing the examples, the first step was
education," 2008.[2] National Academy of Engineering, "Educating the Engineer of 2020: Adapting Engineering Education to the New Century," National Academies Press, 2005.[3] A. M. Ogilvie, D. B. Knight, M. Borrego, A. A. Fuentes, P. A. Nava and V. E. Taylor, "Transfer Student Pathways to Engineering Degrees: A Multi-Institutional Study Based in Texas," in 45th Annual Frontiers in Education (FIE) Conference, El Paso, TX, 2015.[4] National Research Council, "Enhancing the community college pathway to engineering careers," The National Academies Press, Washington, D.C., 2005.[5] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra and R. Layton, "Persistence, Engagement and Migration in engineering Programs," Journal of
compare different feedback structures, both visually(as a network and projected point) and through summary statistics that reflect theweighted structure of connections. The remainder of this section outlines the method ofENA. The details of how ENA was used to analyze the coaching sessions are provided inthe Results and Discussion section.To begin our ENA of co-occurrences of discourse elements (Table 1’s codes), we firstsubdivided the utterances of discourse into groups of utterances. These groups are calledstanza windows. The utterances within a window are assumed to be topically related. Inthis study, we examined conversations between students and coaches where students andcoaches are responding to each other’s previous discourse. As a result
built around those features. The interactive material of course covers digital design topics not included in this paper for space reasons, such as creating sequential circuits to implement FSMs. Having its roots in 2014 rather than in the 1980's when digital design dealt with much smaller circuits, the material also strives to teach a modern view of digital design, going bottom up as before, but being sure to reach registertransferlevel design as promptly as reasonable. Boolean algebra Digital design is based on the mathematics and properties of Boolean algebra
; Bucks, G. W., & Meyers, K. L. (2015, June), A Multiple-institution Investigation of Student Perceptions of the Inverted Classroom in First-year Engineering Courses Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.23413 2. Banu, E. A., & Swamidason, S. M., & Raju, P., & Rajan, P. (2015, June), Video-based, Game-integrated Concept Tutors – Effectiveness in Freshman Courses Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.25038 3. Bucks, G. W., & Ossman, K. A. (2015, June), Variations on Flipping a First-year Engineering Computing Course Paper presented at 2015 ASEE Annual Conference and Exposition
Embedded systems have changed dramatically in recent decades. At their start in the 1970's and growth in the 1980's, embedded systems consisted of relatively simple microcontroller hardware, often programmed in lowlevel assembly language, to configure a few peripherals and interact with a few input/output pins. Today, improvements in speed, memory size, and power have changed the emphasis from hardware to software, with microcontrollers supporting tens of thousands of lines of code, perhaps programmed in C, often with concurrent tasks, interacting with dozens of peripherals and potentially hundreds of input/output pins in timemultiplexed manner, and dynamically changing
∆U 1 1Uwhere S is the Seebeck coefficient. Cold Hot n Contact 1 Contact 2 E E _ + VOC ε µ1 µ1 qVOC µ2 µ2 0 1 f1(E) 0 1 f2(E) Figure 9. 1-D
beunderstood or experienced [9]. The interpreter of the phenomenon is the participant, not theresearcher. In order to solicit a variety of experiences and to allow all relevant voices to be heard[10] , a highly varied sampling of participants is necessary. With a well-designed semi-structuredinterview, the participant can unveil the environment, the products, and the processes of theirprofessional experiences. The creation of hierarchical categories as part of the analysis mayuncover the development of mastery of the skill(s) under investigation. While there has been work that shows a one-axis increase of awareness or mastery of acertain phenomenon, there is an increasing use of phenomenography where the results oroutcomes are expressed in
. To circumvent this, educators oftenrequire at least three unique design concepts. Ideally, during iteration, additional concepts arebrainstormed based on initial test results. Figure 3: EDP Log, IdeateOn the Evaluate tab, the design descriptions auto-populate from the Ideate tab, along with thedesign requirements. Students are then asked to predict whether or not each concept is likely orunlikely to meet each of the requirements. These are just beliefs or predictions, but they shouldbe used to help the students to decide which concept(s) are most promising for furtherdevelopment and prototyping. When a student enters an ‘L’ for likely or a ‘U’ for unlikely, thegray cells turn green or red, respectively
develop a new solution, and patterns of fixationmay simply be redirected to a few new ideas rather than the initial concepts.References: 1. Sheppard, S., Macatangay, K., Colby, A., & Sullivan, W. (2009). Educating engineers: Designing for the future of the field. San Francisco, CA: Jossey-Bass. 2. Duderstadt, J.J. (2008) Engineering for a changing world: A roadmap to the future of engineering practice, research, and education. The Millenium Project: Ann Arbor, MI. 3. National Academy of Engineering (NAE). (2016). Grand challenges for engineering. Retrieved February 2, 2016 from http://www.engineeringchallenges.org/cms/challenges.aspx. 4. Daly, S.R., et al. (2012). Design heuristics in engineering concept
differences in the trends emerging from the twogroups. Our analysis thus far suggests that trends tend to be common to both groups.Specifically, most of the trends emerging from Table 2 are replicated in Table 3 and vice versa.Table 2. Papers Presented in Divisions Other Than LEES Table&2.&PAPERS&PRESENTED&IN&DIVISIONS&OUTSIDE(OF(LEES& Division Number and Title of Session No. & Paper Title(s) & ID Numbers Non-LEES Sessions Position of Papers 1. Chemical Engineering W105 Communication in the 4 (entire • “Improving Student Technical
Paper ID #14624An Electromagnetic Railgun Design and Realization for an Electrical Engi-neering Capstone ProjectLt. Col. Jeffrey Scott McGuirk Ph.D., United States Air Force Academy Jeffrey S. McGuirk received his BSEE degree in 1995 from the United States Air Force Academy (US- AFA) in Colorado Springs, CO, and an MSEE degree from Iowa State University in 1996. From 1997- 2000, he was with the Air Force Research Laboratory at Eglin Air Force Base where he designed fuzes for weapons. From 2000-2003, he was with the Air Force Operational Test and Evaluation Center where he directed tests on satellite communication systems
interested in. This was done over two class periods. Almost all the ofcomments about time were negative, ranging from the presentations being too short (, or therewasn’t enough time to answer questions or students felt rushed. One student seemed to enjoy thepresentations but thought they should be longer, “It would have been helpful if the presentationswere a little longer because some of the speakers had a lot of great info in their presentations butcouldn't get through all of it because of the time constraints” (DP196). Some students wantedone-on-one time with the department presenters, “I have considered switching majors but theydon't give you enough time to talk one on one to the presenters about what it mean(s) to switchor compare the 2 fields
, NY: Farrar, Straus and Giroux.2. Washington Post (2014, January 28). Full transcript: Obama’s 2014 State of the Union address, accessed January 31, 2014. http://www.washingtonpost.com/politics/full-text-of-obamas-2014-state-of-the-union- address/2014/01/28/e0c93358-887f-11e3-a5bd-844629433ba3_story.html3. Engineering Research Centers. “Summary of ERC Study Findings 2001-2008,” accessed April 24, 2013. http://www.erc-assoc.org/studies_and_reports.4. Roessner, D., Manrique, L., & Park, J. (2010). The economic impact of Engineering Research Centers: Preliminary results of a pilot study. Journal of Technology Transfer, 35, 475-493.5. Currall, S. C., Hammer, T. H., Baggett, L. S., & Doniger, G. M. (1999). Combining qualitative and
developments. In Design research on learning and thinking in educational settings: Enhancing intellectual growth and functioning. London: Taylor & Francis, 2012.8. Barrows, H. S., & Tamblyn, R. M. (1980). Problem-based learning: An approach to medical education. New York: Springer.9. Barrows, H. S. (1985). How to design a problem-based learning curriculum for the preclinical years. New York: Springler-Verlag.10. Smith, K. A., Sheppard, S. D., Johnson, D. W., & Johnson, R. T. (2005). Pedagogies of engagement: Classroom‐based practices. Journal of Engineering Education, 94(1), 87-101.11. Woods, D. R. 1994. Problem-based learning: How to gain the most from PBL. Waterdown, Ontario: Donald R. Woods.12. Woods
machine. The testing machine is pre-programmed to execute constant amplitude loadingunder load control conditions. Figure 3: Installation of fatigue test specimen in servohydraulic testing machineResults for fatigue life in general strongly depend on the load levels experienced. Given the timelimitations, a single load range is used for all test samples. (In a materials rather than astructures lab, variations in fatigue life due to different stress amplitudes can be explored in thecontext of a rotating beam test to generate a S-N curve.) The peak amplitude of stress was set toprovide an estimated run time of about 30 minutes for the specimens with a circular hole. Thisresulted in a maximum load of 1788 lb (7.95 kN), corresponding to a
Education, 8(1).9. Machotka, M. and S. Spodek (2002). “Study Abroad: Preparing Engineering Students for Success in the Global Economy,” (CD) Proceedings, 2002 American Society for Engineering Education Conference.10. Besterfield-Sacre, M., Matherly, C., G. Ragusa, L. Howard, and L.J. Shuman. “Assessing the Spectrum of International Undergraduate Engineering Education Experiences,” 2013 ASEE International Forum, Atlanta, GA, June 22, 2013.11. S. Huang, S. Levonisova, Streiner, S., S. Cunningham, G. Ragusa, M. Besterfield-Sacre, L. Shuman, C. Matherly, and D. Kotys-Schwartz, “Exploring Engineering Education in Broader Context: A Framework of Engineering Global Preparedness,” 2014 ASEE Annual Conference and Exposition, Indianapolis
community of inquiry amongst students,the students need to experience a diversity of interactions across both, and possibly within eachof the, online and on-campus modes of student presence involved in blended learning.Weighing up the advantages and disadvantages of residential schools, we conclude that theyare a very important component in an online undergraduate engineering program. As far asonline education in engineering is concerned, a balance needs to be found between ensuringproper training and assessment of trainee engineers and the very worthwhile goal of providingengineering education “anywhere, anytime”.42AcknowledgementsThe authors express their sincere thanks to K.L. Chenery, W.B. Stannard, S. Palmer, andM. Khalife who gave invaluable
McIntyre and Caitlin O’Brian is appreciated.References1 Fugate, C. M., Zentall, S. S. & Gentry, M. Creativity and Working Memory in Gifted Students With and Without Characteristics of Attention Deficit Hyperactive Disorder: Lifting the Mask. Gifted Child Quarterly 57, 234-246 (2013).2 White, H. A. & Shah, P. Uninhibited imaginations: Creativity in adults with Attention- Deficit/Hyperactivity Disorder. Personality and Individual Differences 40, 1121-1131, doi:http://dx.doi.org/10.1016/j.paid.2005.11.007 (2006).3 White, H. A. & Shah, P. Creative style and achievement in adults with attention- deficit/hyperactivity disorder. Personality and Individual Differences 50, 673-677, doi:http://dx.doi.org
that when the marble is first struck by the pinball start off at zero and once mechanism it reaches a maximum velocity of 1.46 m/s. The put in motion down the acceleration of the ball is very fast peaking at 8.36 m/s track; gravity does the rest, before making contact with the track and slowing to about until it reaches the bottom 5.7 m/s. and stops. C. Describe 2 types of forces exhibited by machine components Emerging ( Low ) Proficient ( High ) We have gravitational forces, with The domino at the end of the