: Describe what IoT is and how it works today CO_2: Design and program IoT devices CO_3: Examine the security and privacy challenges of IoT CO_4: Find proper security/privacy solutions for IoTThe course meets twice each week for fourteen weeks. The duration of each meeting is eightyminutes (one hour and twenty minutes). Table 1 identifies the topical theme, the laboratoryexperiment(s), and project(s) associated with each theme and the session number(s). Table 1: IoT course outline Theme Laboratory Experiment/Project Session #(s) Course overview: IoT technology and impact Arduino microcontroller 1-3
. We firmly believe that these results are due to our capability to deliver rigoroushands-on learning experiences through the CVCLAB in addition to the inquiry-based frameworkthat we used in the design of these hands-on activities. Fall 2017 Mid-Atlantic ASEE Conference, October 6-7 – Penn State BerksReferences1 Morgan, S. (2015, December 21). Cybersecurity Market Reaches $75 Billion In 2015; Expected To Reach $170 Billion By 2020. Retrieved August 31, 2017, from https://www.forbes.com/sites/stevemorgan/2015/12/20/cybersecurity%E2%80%8B-%E2%80%8Bmarket- reaches-75-billion-in-2015%E2%80%8B%E2%80%8B-%E2%80%8Bexpected-to-reach-170-billion-by- 2020/#71dbf07b30d62 Morgan, S. (2016, January 04
capacity can be maximized for the relatedmath manipulation. This paper focuses on the three remaining issues, namely, associativelearning from daily experience, critical thinking of a pertinent parameter, and causal reasoningwith a mechanism.Experiential learning has an important associative learning component. Using the trend on agraph to understand time of flight would clarify the mechanism other than a math procedure ofsolving a quadratic equation. Daily experience would show that an object would need moreinitial velocity v0 to reach ground when being thrown upward against gravity downward pulling(-9.8 m/s/s) at 120 meters below ground. The time of flight can be obtained directly whenapplying the quadratic equation formula to the kinematics
,this is not a problem that can be completely written off. Instead, the results presented here point to theneed for further in-depth, multi-institution studies to determine the extent of mental health andwellness issues in engineering programs nation-wide, and how engineering programs can best servetheir students’ mental health and wellness needs. We are in the process of seeking funding to conductsuch a nation-wide study.ReferencesBlanco, C., Okuda, M., Wright, C., Hasin, D. S., Grant, B. F., Liu, S.-M., & Olfson, M. (2008). Mental Health of College Students and Their Non–College-Attending PeersResults From the National Epidemiologic Study on Alcohol and Related Conditions. Archives of General Psychology, 65(12), 1429
State EdWatchWebsite: http://blogs.edweek.org/edweek/state_edwatch/2012/08/a_busy_year_for_states_third-grade_reading_policies.html.[3] Center for Community Solutions (2014). Northeast Ohio Regional Impact and Outcomes Report. Retrievedfrom: http://www.communitysolutions.com/assets/docs/NEORIO/thirdgradereading_neorio_2014_2.pdf[4] Sterling, S., (2014), Incorporating literacy in your STEM classroom, Retrieved from Learning Sciences website:http://blog.learningsciences.com/2014/11/18/incorporating-literacy-in-your-stem-classroom/.[5] Cervetti, G., Pearson, P., Bravo, M., Barber, J., (2006), Integrating literacy and science. In R. Douglas, M.Klentschy, K. Worth (Eds.), Linking science and literacy in the K-8 classroom (pp 221-244). Arlington, VA
engaging future engineers. Journal of Engineering Education, 100(1), 48-88.2. Ball, D. L., Hill, H.C, & Bass, H. (2005). Knowing mathematics for teaching: Who knows mathematics well enough to teach third grade, and how can we decide? American Educator, 29(1), pp. 14-17, 20-22, 43-46.3. Banilower, E. R., Smith, P. S., Weiss, I. R., Malzahn, K. A., Campbell, K. M., & Weis, A. M. (2013). Report of the 2012 National Survey of Science and Mathematics Education. Horizon Research, Inc.4. Brophy, S., Klein, S., Portsmore, M., & Rodgers, C. (2008). Advancing Engineering Education in P-12 Classrooms. Journal of Engineering Education, 97(3), 369 – 387. doi:10.1002/j.2168-9830.2008.tb00985.x5. Carlson, L., & Sullivan, J
collection efforts andinteractions with civil engineers—of the disconnect between education and practice. Knowingthat practicing civil engineers perform worse than students in most cases on concept inventoryquestions challenges the broad role and focus on concepts in undergraduate education. Theseresults can impact other fields that rely on potentially inappropriate and/or non-holistic means ofassessment, and encourage consideration of other means of assessment.References:1. Bornasal FB, Brown S, Perova N. The use, representation, negotiation, and interpretation of concepts in engineering practice. Journal of Engineering Education. 2016:Accepted pending revisions.2. Urlacher M, Brown S, Steif P, Bornasal FB. Practicing Civil
, functioning as initial core group, must then balanceproviding support without taking over the community. One must allow the active group tobecome the core group in order to maximize the possibility of a lasting and vibrant communitythat sustains itself after the project funding has ended. References(1) S. Brunhaver, C. Carrico, H.M. Matusovich, R. Streveler, P. Boyland-Ashraf, P., and S. Sheppard, “Professional Engineering Pathways Study: A longitudinal study of early career preparedness and decision-making”, ASEE/IEEE Frontiers in Education Conference, El Paso, TX , 2015.(2) J. P. Sampson, J. G. Lenz, R. C. Reardon, and G. W. Peterson, “A cognitive information processing approach to employment problem solving and decision-making”, Career
? Science education reform and Mexican-Americans. High School Journal, 78(4), 244-252.Borman, G. D. & Overman, L. T. (2004). Resilience in mathematics among poor and minority students. The Elementary School Journal, 104(3), 177-195.Bransford, John D., and Daniel L. Schwartz. "Chapter 3: Rethinking transfer: A simple proposal with multiple implications." Review of research in education 24.1 (1999): 61-100.Brotman, J. S. & Moore, F. M. (20080. Girls and science: A review of four themes in science education literature. Journal of Research in Science Teaching, 45(9), 971-1002.Castro-Olivo, S., Tran, O.K., Begum, G.F., Arellano, E.M., Garcia, N.M. & Tung, C.Y. (2013). A comprehensive model for promotion resiliency and preventing
, independent of the restrictions of any single institute. The resultsof this study seem to confirm these projects should not be abandoned and we should work toacquire more information to better understand the benefits in learning through intercollaborativeprojects.IntroductionThe civil engineering programs at Rose-Hulman Institute of Technology (RH) and GonzagaUniversity (GU) wish to understand optimization of inter-collaborative capstone projects. Inter-collaborative capstone projects are typically service learning projects conducted by students frommultiple institutes. Such projects are often local to one of the institutes, but remote to the other(s).They are organized to promote intercultural learning by students from both institutes and toovercome
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
= 0.05 ± 0.01)compared with “Control” (average = 0.23 ± 0.08).No statistical difference was observed between the two methods for the other categories ofmistakes individually. p-values for categories 1, 2, 3, 4, and 6 were found to be 0.8, 0.23, 0.25,0.13, and 0.43, respectively. Figure 1: Comparison of mistakes per student for the eight classesOther observations. Mistake type 2 shows a significant reduction with time for instructor 1.However, this is attributed not to AR, but to the collaborative problem-solving that was part ofInstructor 1’s teaching method. This effect relates to fundamental conceptual learning achievedfrom peer teaching and has been studied in a separate work of the authors. [23]Mistake type 6 was generally
, Purdue University, West Lafayette Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University and holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical Engineering. She researches cross-disciplinarity ways of thinking, acting and being; design learning; and engineering education transformation. c American Society for Engineering Education, 2019 Work-In-Progress: “I’m Not Your Standard Student”: Examining the Rationales for Pursuing an Interdisciplinary Engineering EducationAbstractThis Work-in-Progress paper in the Multidisciplinary Engineering Division begins to explore howundergraduate students use program
National Science Foundation for their support through a Graduate ResearchFellowship (DGE-1333468). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] C. E. Foor, S. E. Walden, and D. A. Trytten, ““I wish that I belonged more in this whole engineering group:" Achieving individual diversity,” J. Eng. Educ., vol. 96, no. 2, pp. 103–115, 2007.[2] J. M. Smith and J. C. Lucena, “‘How do I show them I’m more than a person who can lift heavy things?’ the funds of knowledge of low income, first generation engineering students,” J. Women Minor. Sci. Eng., vol. 22, no. 3, pp. 199–221, 2016.[3
innovation in engineering education necessitates research on ways of thinking. Wesought to gain this understanding based on four specific ways of thinking including futures,values, systems, and strategic thinking. The study builds on the existing body of knowledgeregarding these ways of thinking, while initiating a first step toward an ‘EER ways of thinking’model. We believe the resulting model could serve as an organizing and motivating structure toframe decisions throughout all engineering education endeavors.ReferencesBrown, T. A. (2015). Confirmatory factor analysis for applied research, 2nd edition. New York, NY: Guilford PublicationsCrawford, A. V., Green, S. B., Levy, R., Lo, W. J., Scott, L., Svetina, D., & Thompson, M. S. (2010
-direction calculated using images from the mobile phone and high-speed camera and v is the velocity in the y-direction calculated from images using the mobilephone and high-speed camera. Overall, the difference between the mobile phone and the high-speed camera setup is low (max error less than 0.2 m/s) (Figure 7). Figure 8. Difference between mobile PIV and industrial PIV using the absolute difference (Eq. 1). Overall, calculated velocity was similar between the two setups.ConclusionsWe completed a preliminary proof of concept of a mI-PIV device that will be refined forimplementation in classrooms in both high school and undergraduate levels. Our PIV tool isinexpensive, designed using open access image analysis code, and fully mobile. We
of 3-D printed block that took 8 hours to print. (B) Assembled 3-Dprinted robot puppet prior to adding primer, paint, and weathering effects. (C) Finished robot on day of shooting in front of a green screen. References[1] J. W. Bequette and M. B. Bequette, “A place for art and design education in the STEMconversation,” Art Education, vol. 65, no. 2, pp. 40-47, Mar. 2012doi:10.1080/00043125.2012.11519167[2] S. Fischer, D. Oget, and D. Cavallucci, “The evaluation of creativity from the perspective ofsubject matter and training in higher education: Issues, constraints and limitations,” ThinkingSkills and Creativity, vol. 19, pp. 123-135, Mar. 2016. doi:10.1016/j.tsc
helped them in their undergraduateeducation to succeed. The goal of using this analysis, as consistent with founders of themethodology [12], is to develop a theory during textural analysis without preconceived ideas onwhat the solution, or theory, could be. GMT was developed in the 1960’s to give sociologists atool that allowed them to generate new theories. It has begun to be adopted by the designdisciplines to help navigate the fuzzy front end of design by coding observations in transcripts,for example. The idea is that stories can emerge, and connections can be made betweenunrelated ideas and help form potential hypotheses [13]. In this initial coding exercise, word-by-word, and line-by-line coding strategies were employed, as described by
Paper ID #21456Retrieval Practice and Spacing: Effects on Long-Term Learning among En-gineering Precalculus StudentsRobin F. Hopkins, University of Louisville Robin Hopkins is a graduate student in the Experimental Psychology PhD program at the University of Louisville. Her main research interests include learning in the classroom and eyewitness memory.Dr. Keith Brandon Lyle, University of LouisvilleDr. Patricia A. Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in
. 215-239, 2006.[5] C. J. Atman, S. D. Sheppard, J. Turns, R. S. Adams, L. N. Fleming, R. Stevens, Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education. San Rafael, CA: Morgan & Claypool Publishers, 2010.[6] L. E. Bernold, J. E. Spurlin, C. M. Anson, “Understanding Our Students: A Longitudinal Study of Success and Failure in Engineering With Implications for Increased Retention,” Journal of Engineering Education, pp. 263-274, 2007.[7] Litzler, E., & Young, J. (2012). Understanding the Risk of Attrition in Undergraduate Engineering: Results from the Project to Assess Climate in Engineering. Journal of Engineering Education , 319-345.[8] O. Eris, D. Chachra, H
team. The two-minute podium formatwas used to efficiently highlight the original thesis proposal and theme chosen by each team,while the poster format enabled the communication of more details regarding the individualoutreach activities proposed. Each team also worked collectively to create a two-page writtendocument that summarized their presentation and poster. To judge the effectiveness of thisknowledge translation activity, qualitative feedback was gathered from standard courseevaluations and extra voluntary questionnaires that asked students what they thought strengths ofthe course were and what area(s) they felt could be improved. Graduate Course Discovery Program Knowledge
level of difficultyencountered by an author, in the same way that strength-of-schedule ratings are used indetermining rankings of FBS teams in college football.Most reputation systems [7–9] also include a measure for “spread,” the degree to which aparticular reviewer rates different work differently. Suppose the average rating for all students is4 on a scale of 1 to 5. Then a reviewer who answers “4” to every rubric item on every reviewmight well be close to the average score received by each author. But that reviewer would not bevery credible, because (s)he failed to distinguish between the quality of different pieces of work.So reviewers are given more credence if they have a higher spread.2.3 Rejoinders, or “back-reviews.” Just as reviewers
, M. Besterfield-Sacre, and J. Mcgourty, “The ABET “Professional Skills” - Can they be taught? Can they be assessed?” Journal of Engineering Education, vol. 94, no. 1, pp. 41–55, 2005. [3] K. M. Yusof, A. N. Sadikin, F. A. Phang, and A. A. Aziz, “Instilling professional skills and sustainable development through Problem-Based Learning (PBL) among first year engineering students,” International Journal of Engineering Education, vol. 32, no. 1, B, SI, pp. 333–347, 2016. [4] A. Mohan, D. Merle, C. Jackson, J. Lannin, and S. S. Nair, “Professional skills in the engineering curriculum,” IEEE Transactions on Education, vol. 53, no. 4, pp. 562–571, 2010. [5] J. A. Baughman, T. J. Brumm, and S. K. Mickelson, “Student professional
the effectiveness of the workshop relativeto the benefits to SVS gained from participation in the class only.References1. S. Sorby, “Educational Research in Developing 3-D Spatial Skills for Engineering Students,” International Journal of Science Education, vol. 31, no. 3, pp. 459-480, 2009.2. J. Wai, D. Lubinski, and C. P. Benbow, “Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance,” Journal of Educational Psychology, vol. 101, no. 4, pp. 817-835, 2009.3. M. B. Casey, E. Pezaris, E., and R. L. Nuttall, “Spatial ability as a predictor of math achievement: the importance of sex and handedness patterns,” Neuropsychologia, vol. 30, pp. 35-40, 1992.4. D. Halpern, D
derive homogeneous subtypes of individual EPICSstudents, based upon their scores across measures of eight program outcomes.Specifically, the present study includes: (1) examination of how EPICS students weregrouped in terms of their evaluation on the professional skills and objectives defined byABET EC2000 Criterion 3, and analysis of the characteristics on specific profile pattern(s)found; (2) investigation of possible explanatory (e.g., demographic background variables)reasons of the way they were grouped. For instance, mean scores of the two gendergroups were compared to see if significant difference existed between male and female intypal prevalence. Additionally, future research direction was also discussed
operations managementprograms. The purpose of the Lamp Shade Game is to demonstrate the advantages anddisadvantages of the main lean manufacturing principles in comparison to craft and massmanufacturing, while simulating the three different manufacturing processes by producinglampshades according to a random demand. The main learning objective of the game is tocontrast craft, mass and lean manufacturing based on various dimensions such as quality focus,production layout, skill level of the operator(s), setup times and flexibility of the system, productvariety, production volume, production strategy (push vs. pull, built-to-order vs. built-to-stock),production trigger, production sales price, supply delivery (frequency and batch size
projects or homework, but it not the same as work-related deadlines. The graduate student has to work with others, do part of the work, incorporatehis/her ideas and the ideas of other people in their group, and give the results to others to analyzeand comment on. The student may have more than one supervisor, so s/he will need to allowenough time to make corrections and then turn in a final report. It is important to be able toprioritize the tasks according to their urgency and be organized. Being organized can providedmany advantages in making sure all the requirements are met in a timely fashion.Because of time constraints, the graduate student needs to understand the industry’s research orproject faster to obtain results in a short period of
research emphasis in the WSOE of Engineering at FGCU. Founded inlate 90’s, FGCU is the newest public university in Florida. FGCU can be viewed as a non-traditional university, where the conventional tenure system is replaced by a three-yearrenewable term contract. In 2006 three young faculty, who are also the authors of this paper,accepted faculty positions in Bioengineering, Civil Engineering, and Environmental Engineering.We were faced with the challenge to balance scholarship, teaching and service as new facultymembers at this recently established institution. To overcome these obstacles, we identified asystem that centers on using available resources that the position has to offer and managing ourtime and resources wisely to enhance career
determinemanaging business, department, organization, current performanceor product (Pande, 2002). Organizations 3. Analyze and determine the root cause(s)generally use the tools that come with Six of the defectsSigma to improve company performance by 4. Improve the process by eliminatingbetter serving their customers. We define a Six defectsSigma organization as any organization that has 5. Control future process performanceimplemented a Six Sigma program. Thepurpose for the word “organization” is because DMADVbusinesses, government agencies, and charities 1. Define the project goals and customerhave implemented Six Sigma. General Electric, (internal and external
of Technology, Atlanta). In May 2007, Prof. Dr. Sabina Jeschke took over a full professorship for "Information Technology Services" at the Universität Stuttgart. Additionally, she acts as scientific and executive director (CEO) of the "Center of Information Technologies" of the Universität Stuttgart. The research of S. Jeschke is aimed at developing new concepts of service-oriented architectures for eLearning and eScience in particular in the fields of mathematics, natural sciences and engineering. She focuses on development and networking of interactive mathematical objects and remote/virtual experiments, on mechanisms for the creation, modification and storage of data in cooperative