will have to cultivate if they are interested in creating a TAP of their own. Our hope isthat TAP will be a pilot for other programs that address this need across the country.AcknowledgmentsThis work is currently supported by the Battelle Engineering, Technology, and Human Affairs(BETHA) Endowment and an Impact Grant from The Ohio State University Office of Outreachand Engagement, a program supporting innovative and scholarly engagement programs thatleverage academic excellence of The Ohio State University in mutually beneficial ways withexternal partners. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the BETHAEndowment or the Office
hypothesis that there is a statistically significantdifference in academic performance of students attending a minimester and regular semester.Minimester students perform better than those enrolled in a regular semester. Obviously, theminimester students grasped the concepts and materials faster than their counterparts, and coulduse them well during the exams.However, the results of the study must be taken with some caution. It was done for only one coursein a semester and, therefore, the findings cannot be generalized. The study will hopefully generateenough interest to do further research on predicting performance of students in other courses.Bibliography1. Anastasi, J. S. (2007). Full-semester and abbreviated summer courses: An evaluation of
and Lucas [15]. The study will be exploratory and the intervieweeswill be asked to give their personal perceptions of how they see the phenomenon and alsoregarding how and why they have developed those viewpoints.One week before the interview, the interviewees will receive the interview protocol, includingthe questions and short texts presenting the three contemporary challenges the informants aresupposed to reflect upon. The following questions will form the basis for the interview. 1. How do you think these challenges affect the development of your discipline and the educational program(s) you are involved in? 2. What do you expect the situation to be 10 years from now? 3. How do you prepare your students for the future with
outside engineering about stayingin the program. Students from outside the major often express a combination of sympathy andrespect for engineering students, based on the perception that their majors are very difficult. Acouple of examples demonstrate what engineering students hear from their peers outside ofengineering: “Other students? Um. Yeah. That’s for sure. They definitely, you know say, oh she’s an engineering major. She has to study a lot so, you know, she can’t hang out with us too much.” S- Whenever I mention my major, people always go, ...tell me that they’re sorry. I- And this is people you mean other students or faculty or... S- No, they’re students. So, I feel like they’re…they’re…I feel like they kind of
increased bonding with team members and with the community andenhanced communication skills in the process [16]. This program sometimes included non-technical students in the team. Fruchter and Emery [17] defined the learning of students in cross-disciplinary teams in four phases: island of knowledge, awareness, appreciation, andunderstanding. Ilgen et al. [18] proposed three similar stages in team learning: forming,functioning, and finishing. Diverse and complex perspectives of team members at the beginningconverged to commonly agreed perspectives in a team learning environment. In addition,learning from the most knowledgeable and well-performing member(s) in the team increasedwith the difficulty level of assigned tasks. The literature on the
. The biennial NSF digest “Women,Minorities, and Persons with Disabilities in Science and Engineering” gives a definition ofURM. The report states: “Women, persons with disabilities, and underrepresented minority groups—blacks or African Americans, Hispanics or Latinos, and American Indians or Alaska Natives—are underrepresented in science and engineering (S&E). That is, their representation in S&E education and S&E employment is smaller than their representation in the U.S. population” [4].Persons with disabilities are not included in the scope of this study. The survey instructions givenwere, “For the purposes of this study, we consider underrepresented minorities (URM) to beblacks or African
,WPI’sMassachusettssettingsurelymakesadifference:wherestatelawsprotectindividualchoiceingenderidentityandexpression,onewouldexpecttofindamorecomfortableenvironmentforLGBTQstudents.However,asnotedinourshorthistoryofNewVoices,WPI’suseoftheatretoexplorequestionsofsexualorientationextendsbackto1987,afullsixyearsbeforePresidentBillClinton’s“Don’tAsk,Don’tTell”policyandmanyyearsbeforemostpeopleevenentertainedthepossibilityoflawspermittinggaymarriageoradoption.Howmightthepresenceofthisvibranttheatreprogram,andopportunitiesforengineeringstudentstowriteandperformoriginalplaysontopics2Rich,A.(1980).“CompulsoryHeterosexualityandLesbianExistence.”Signs5.4:631-660.3Harris,S.(2014).“ThirdofGayEngineersHideSexualityfromColleagues.”TheEngineer.23July.4Cech,E.(2015).“LGBTProfessionals’WorkplaceExperiencesinSTEM-RelatedFederalAgencies.”ASEE.Paper#12513.5Trenshaw,K.etal
classrooms. AcknowledgmentThis work is supported by the National Science Foundation under grant number EEC-1449500.References[1] C. T. Hailey, E. Becker, and M. Thomas, National Center for Engineering and Technology Education. The Technology Teacher, 64(5) 23-26, 2005.[2] S. Bell, Project-Based Learning for the 21st Century: Skills for the Future. The Clearing House, 83(2), 39-43, 2010. doi:10.1080/00098650903505415[3] J. E. Mills and D. F. Treagust, “Engineering Education - Is Problem-based or Project-based Learning the Answer?” Australasian Journal of Engineering Education, 2003.[4] Texas Education Agency Snapshot 2016, 2017
class room and allow them to address engineering solutionsfor the betterment of life.7. References[1] J. Hopewell, R. Dvorak, and E. Kosior, “Plastics recycling: challenges and opportunities,” Philosophical Transactions of the Royal Society B Biological Sciences, Jul 2009.[2] C. Kieule, S. Emilie, and P. Morgane, "Life cycle of floating debris in the canals of Ho Chi Minh city," horizon.documentation.ird.fr, November 2016.[3] Working paper of Urban Development Management Support Centre - PADDI, https://en.wikipedia.org/wiki/Incineration[4] https://www.thebalance.com › ... › Sustainable Businesses › Resources[5] O. Farook and C. Sekhar and J. Agrawal and E. Bouktache and A. Ahmed, “Outcome based education and
instructors to enhance the quality of language and literacy socialization in their midst and toaccommodate and support newcomers—from all language backgrounds—within these discoursecommunities more satisfactorily and seamlessly as well (pp. 186-187)”. Indeed, the implicationsof these findings for changes in support programs, institutional policies, and pedagogicalpractices can offer the field a more thorough perspective into the intricate and dynamic nature ofacademic discourse socialization and how institutions of higher education can better serveinternational graduate students.References[1] C.P. Casanave, Writing Games: Multicultural Case Studies of Academic Literacy Practices in Higher Education, Mahwah, NJ: Erlbaum, 2002.[2] S.A. Myers, S
Paper ID #22466Promoting Academic and Career Success for Raleigh Future Scholars at NCState UniversityProf. Leda Lunardi, North Carolina State University Leda Lunardi received the BS and MS from University of S˜ao Paulo (USP), S˜ao Paulo, Brazil, and Ph.D. degree from Cornell University. Currently she is a professor in the Electrical and Computer Engineering Department at North Carolina State University in Raleigh. Her teaching and research interests include electronics, optoelectronics, and engineering undergraduate student retention and graduation improve- ment. Her research has been mainly sponsored by the National
; Wijnberg, N. M. (2017). The interplay between intuition and rationality in strategic decision making: A paradox perspective. Organization Studies, 38(2), 225-261.14. Cosier, R. A., & Aplin, J. C. (1982). Intuition and decision making: Some empirical evidence. Psychological Reports, 51(1), 275-281. doi:10.2466/pr0.1982.51.1.27515. Crismond, D. P., & Adams, R. S. (2012). The informed design teaching and learning matrix. Journal of Engineering Education, 101(4), 738-797.16. Dane, E., & Pratt, M. G. (2007). Exploring intuition and its role in managerial decision making. The Academy of Management Review, 32(1), 33-54. doi:10.2307/2015927917. Dhami, M. K., & Thomson, M. E. (2012). On the relevance of
Offers Encouragement, Support to Women in STEM." Group Offers Encouragement, Support to Women in STEM | UC Merced. University of California Merced, 2 Feb. 2016. Web. 23 Jan. 2017.5. "Female Stem Groups Summary." (n.d.): n. pag. 10 Mar. 2016. Web. 23 Jan. 2017.6. "Harvey Mudd Launches BRAID Initiative to Increase Diversity in Computer Science | Harvey Mudd College News." Harvey Mudd College. N.p., 24 Sept. 2014. Web. 23 Jan. 2017.7. National Science Board, National Science Foundation, National Center for Science and Engineering Statistics. "S&E Indicators 2016 | NSF - National Science Foundation." S&E Indicators 2016 | NSF - National Science Foundation. National Science Foundation, Jan
Manufacturing since 2010 and International Journal of Computational Materials Science and Surface Engineering since 2007.Dr. S. Hossein Mousavinezhad, Idaho State University is the principal investigator of the National Science Foundation’s research grant, National Wireless Re- search Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active member of IEEE and ASEE having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical Engineering and Computer Engineering as well as Engineering Education. He is Founding General Chair of the IEEE International Electro Information
relation to others’ expectations.Acknowledgment:This work was supported through funding by the National Science Foundation (NSF EEC 1752897). Anyopinions, findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References 1. Lewis, H. B. (1971). Shame and guilt in neurosis. International Universities Press: New York. 2. Tangney, J. P., & Dearing, R. L. (2002). Shame and guilt. Guilford Press: New York. 3. Scheff, T. J. (2003). Shame in self and society. Symbolic interaction, 26(2), 239
to 1950’s [1] researchers started to explore this technology. Simplyspeaking, computer vision deals with the technology that mimics the capabilitiesof a human (normal) vision system. Naturally, a normal human being is equippedwith sensors for five different sensing capabilities (vision, smell, taste, touch, andhear). These capabilities are controlled by the central nervous system (brain)allowing a human being to demonstrate intelligent behavior. By default, thevision system of a human being is three dimensional and it uses two eyes thatwork as sensors (detectors) to capture images. Earlier computer vision systemused only one camera along with the associated computational platform andsoftware and therefore, it dealt largely with two
Potential sources of material include your own personal notes where you Present students with made a mistake, or a homework/exam inaccurate work (on a solution that introduces mistakes worth slide or handout) and pointing out have them take a few Make clear something is wrong on your notes on what is wrong, handout, to avoid confusing students Intentional 2-10 then follow up by calling who arrive late or aren't fully paying Mistake(s) minutes on students
one student smaller.Next, gruepr runs its genetic optimization algorithm, displaying its progress to the instructor. Allof the instructor’s chosen teaming options are used in the algorithm’s fitness function. After theoptimization algorithm operates for some time, the set of teams with the quantitatively highestscore is shown to the instructor. The instructor can choose to keep these teams, make minortweaks by swapping one or more pairs of students between teams, or get rid of the teams andrestart the optimization scheme from the beginning. If the instructor chooses to restart theoptimization, they may also choose to adjust the teaming options and/or team size(s) at that time.Since genetic algorithms are, in general, not guaranteed to find
://www.qualtrics.com/. [Accessed 1 February 2015].[3] S. Y. Lye and J. H. L. Koh, "Review on teaching and learning of computational thinking through programming: What is next for K-12?," vol. 41, pp. 51-61, 2014.[4] Phoenix Contact, [Online]. Available: https://www.phoenixcontact.com/nanoline. [Accessed 1 February 2015].[5] Phoenix Contact, "How to program nanoLine with flow chart programming - Phoenix Contact," 15 October 2009. [Online]. Available: https://www.youtube.com/watch?v=qXA2O47rqqw. [Accessed 1 February 2015].[6] National Center for Women in Computing, "By the Numbers," National Center for Women in Computing, Boulder, CO, 2014.[7] Y. Oh and S. Yang, "Defining exergames and exergaming," in Proceedings of Meaningful Play, East Lansing, MI
. Augustine, N. (2005). Rising above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future. Washington, DC: National Academy of Science, National Academy of Engineering, Institute of Medicine, National Academy Press 2. Clough, G. (2005). Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington, DC: National Academy of Engineering, National Academy Press. 3. Jonassen, D., Strobel, J., & Lee, C. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139. 164. Martin, H.T., Petrosino, A., Rivale, S., & Diller, K.R. (2006). The
, asmeasured by the External Application concept. Surprisingly, the concept of Emotional Gain,including categories such as personal fulfillment, self-confidence, and satisfaction associatedwith mentoring rarely appeared in responses.Introduction Research has explored motivations associated with volunteerism in a broad sense forapproximately 40 years (Esmond & Dunlop 2004). The late-1980’s and early 1990’s showed alarge endorsement of student volunteerism and community service from American colleges anduniversities. The U.S. government encouraged universities to embrace the service-learning linkto enhancement of the educational experience as part of the National Community Service Act of1990. The academic and social benefits of student
among the STEM disciplines and achieve deep understanding. Her work focuses on defining STEM integration and investigating its power for student learning. Tamara Moore received an NSF Early CAREER award in 2010 and a Presidential Early Career Award for Scientists and Engineers (PECASE) in 2012. c American Society for Engineering Education, 2016 Saving Pelicans: A STEM Integration Unit (CurriculumExchange) TargetGradeLevel:5-8 EngrTEAMSEngineering to Transform the Education of Analysis, Measurement, & Science Authors and Contact: S. Selcen Guzey Tamara J. Moore
, students had difficultyidentifying a new or creative way to present the solution to the assignment. Video results, asshown in Figures 1 through 5, illustrate students performing the assignment. Although there wasnot a significant increase in the overall grades, video assignments will continue to be used in thiscourse.References:1. sciencemusicvideos. (2015) www.youtube.com2. Margulis, E.H. (2014) On Repeat: How Music Plays the Mind. New York, NY: OxfordUniversity Press.3. Robinson, J. S. (2006). Graduates' and employers' perceptions of entry-level employabilityskills needed by agriculture, food and natural resources graduates.4. Mishra, P., & Koehler, M. (2006). Technological pedagogical content knowledge: Aframework for teacher knowledge
determine whether or not they were successfully entrenched into theSTEM pipeline.1 American Society for Engineering Education. (2014). Engineering by the Numbers. Washington, DC: Yoder, B. L.2 Bidwell, A. (2015, February 24). STEM Workforce No More Diverse Than 14 Years Ago. Retrieved from://www.usnews.com/news/stem-solutions/articles/2015/02/24/stem-workforce-no-more-diverse-than-14-years-ago3 Crosby, F. J., Iyer, A., Clayton, S., & Downing R. A. (2003). Affirmative action: Psychological data and the policydebates. American Psychologist, 58(2), 93-115.4 Peckham, J., Stephenson, P., Harlow, L., Stuart, D., Silver, B. & Mederer, H. (2007). Broadening participation incomputing: Issues and challenges. Proceedings from ITiCSE 2007: The 12th
judgment on question #9. Here are two sets of answers from the eight students: Question #9 Student 1: “(Elastic potential energy) depends on our datum, and if you are pushing or pulling the spring.” Student 2: “(Elastic potential energy) depends on if spring is compressed or stretched. ” Question #10 1 Student 1: “It is the same PE, 𝑉𝑒 = 2 𝑘𝑠 2 ” Student 2: “the |change in position| (absolute value) is s in both cases.”Linear impulse and momentumFour questions with a focus on the conservation of linear momentum of a system ofparticles were involved for this section in the pilot study (Table 1). The two questions(#11-#12) were involved in this
well known in academia.Housner and his students [3] at Cal Tech in the 1940’s and 1950’s experimentally determined thecritical load of a member by means of linearly correlating the square of the frequency and theload; the extrapolated regression line at zero frequency represents the critical buckling load ofthe member. On the theoretical side, the most acknowledged achievements are traced back toTimeshenko [4] who used differential equations to show that as the loading of a columnapproached Euler buckling, the frequency of the first mode approaches zero. Recently Carpinteri[5] presented a solution using potential energy that is well-tailored to student understanding. Hisderivation uses a single degree-of-freedom system similar to that shown in