].[7] Code.org State Facts, “Support K-12 Computer Science Education in Mississippi,” Available: https://code.org/advocacy/state-facts/MS.pdf. [Accessed: 2-Feb-2019].[8] MS Department of Employment Security. ‘MDES Wage Estimates - All Occupations’ 2018. [Online]. Available at https://www.mdes.ms.gov/media/68937/mpwia.pdf. [Accessed : 28- Dec-2018].[9] S. Lee, J. Ivy, and A. Stamps, “Providing Equitable Access to Computing Education in Mississippi,” Providing Equitable Access to Computing Education in Mississippi. 4th international conference on Research in Equity and Sustained Participation in Engineering, Computing, and Technology, Minneapolis, MN, Feb 2019.[10] Programming Bootcamps Compared, [Online]. Available: https
Programs, 2018-2019.” [Online].Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-technology-programs-2018-2019/#GC1. [Accessed Jan. 26, 2019][2] Bureau of Labor Statistics, “Architecture and engineering occupations,” April 13, 2018.[Online]. Available: https://www.bls.gov/ooh/architecture-and-engineering/home.htm. [AccessedApr. 21, 2019].[3] J.M. Beggs, J.H. Bantham, and S. Taylor, “Distinguishing the factors influencing collegestudents’ choice of major,” College Student Journal, vol. 42, pp. 381-394, June 2008. [4] M. Kikendall Orr, C. Brawner, M.W. Ohland, R.A. Layton, “The effect of requiredintroduction to engineering courses on retention and major selection,” Proceeding of the 120thASEE
, Vancouver, B.C., Canada, 2011.[6] R. Taraban, E. E. Anderson, M. W. Hayes, and M. P. Sharma, "Developing On-Line Homework for Introductory Thermodynamics," Journal of Engineering Education, vol. 94, pp. 339-342, 2005.[7] J. L. Davis and T. McDonald, "Online Homework: Does it help or hurt in the long run?," presented at the ASEE Annual Conference and Exposition, Indianapolis, IN, 2014.[8] S. Bonham, R. Beichner, and D. Deardorff, "Online homework: Does it make a difference?," The Physics Teacher, vol. 39, pp. 293-296, 2001.[9] Y. A. Çengel, A. J. Ghajar, and M. Kanoglu, Heat and mass transfer : fundamentals & applications, 2016.[10] McGraw-Hill Education Connect. Available: https
the U.S. Naval Surface Warfare Cen- ter at Carderock, Md. Dr. Tawfik is the co-author of more than 60 research papers in the areas of Hydrogen Fuel Cells, Biomass Energy, Thermo- fluids and Two Phase Flow published in prestigious peer reviewed journals and conference symposiums. He holds numerous research awards and owns the rights to four patents in the Polymer Electrolyte Membrane (PEM) fuel cells area. Currently, Dr. Tawfik is a SUNY Distinguished Service Professor and the Director of the Institute for Research and Technology Transfer (IRTT) at Farmingdale State College of the State University of New York.Prof. Yeong Ryu, State University of New York, Farmingdale YEONG S. RYU graduated from Columbia University
scale, accounting for reverse-coded questions.Psychological safety uses seven-point Likert scale and conflict and cohesion are each five-point Likert scales. In addition to using Edmondson [3]’ seven-item questionnaire forpsychological safety, CATME includes Jehn and Mannix [15]’s questions for measuringconflict, and measures of cohesion from Carless and de Paola [16] and Loughry and Tosi[17]. In appendix A, we provided all questions and sub-questions collected by CATME andused in this study.ResultsIn this paper, we used simple linear regression to measure the relationship betweenpsychological safety and the perception of students about team outcomes (conflict andcohesiveness). We explored this relationship for individual and as a consensus
’, forexample,“I will pay more attention to how much time I spend on each design activity. Next time, I mighttry setting a timer to help keep the team on track” (Student 7, 322B).The use of time is viewed as regulating behavior where students’ intentions entail behavioralcontrol. In Student 7’s case, efforts to focus and optimize their design intentions entailsimproving on their attentional control using ‘a timer.’ In making plans, time is also viewed aseffort control [6] where students form intentions about distributing their time and efforts acrossdesign activities.Planning in relation to Modeling: Spending and spreading time out generally or specifically to adesign activity was expressed in relation to modeling, where students intend ‘not getting
. Zhou, X. Wang, U. Morales and X. Yang, “Integration of virtual reality and CFD techniques for thermal fluid education” in Proceedings of the ASME 2017 Summer Heat Transfer Conference, Jul. 9-14, 2017, Bellevue, WA, 2017.[5] R. Ennetta, I. Nasri, S. Bouallègue, T. Tsiatsos, “Design and Implementation of a Remote Laboratory for Heat Transfer Experiments” In: Auer M., Azad A., Edwards A., de Jong T. (Eds.) Cyber-Physical Laboratories in Engineering and Science Education. Springer, Cham, 2018.[6] http://www.purcellfarriersupply.net, part number 106122107FRG70827183-PF01[7] http://www.purcellfarriersupply.net, part number 106122107FRG82767882-PF01[8] https://www.bigrigchromeshop.com, part number gr-s4-48exa[9] https://www.amazon.com
change how all engineers think,communicate, and collaborate, and that the activity of deliberate ASL vocabulary creation servesas one example of how this might happen. In this paper, we position sign creation as a locus forexamining the construction of engineering meaning.This paper centers on two illustrative case studies in engineering sign development: (1) thestress-strain curve and (2) affordance theory. For each case study, we begin by describing thenew sign prototypes and how they fit the concept(s) they attempt to describe. We compare thenew sign to previous options for signing each concept, contextualizing them as examples of thecolonized/assimilated nature of Deaf Education in the United States. We then provide thebackstory for the
performance. Todetermine whether statistically significant differences in student performance exist, moresemesters of grades must be an analyzed for each homework policy.References[1] V. Jungic, D. Kent, and P. Menz, “On Online Assignments in a Calculus Class,” p. 15.[2] S. Bonham, R. Beichner, and D. Deardorff, “Online homework: Does it make a difference?,” Phys. Teach., vol. 39, no. 5, pp. 293–296, May 2001.[3] L. L. Parker and G. M. Loudon, “Case Study Using Online Homework in Undergraduate Organic Chemistry: Results and Student Attitudes,” J. Chem. Educ., vol. 90, no. 1, pp. 37– 44, Jan. 2013.
used, which isa small (900 MHz quad-core ARM Cortex-A7 CPU) single-boardcomputer [6]; and 3) Module 3: institutional strategies to supporteach team to design and implement team projects successfully alongwith the project-based learning and evidence-based researchstrategies [2].Figure 1. Flowchart of the technical platform through evidence-based teaching.Outcomes and measurement of the proposed platforms:The outcomes are rated by three factors, such as the measurement ofthe three modules, student feedback, and career development status.Firstly, the measurement of the three basic modules are as follows:1) Module 1 measurement: one (or two) exam(s) and teachingevaluations for several lectures; 2) Module 2 measurement: labreports’ grading
N° 5151 del 26 de marzo de 2014. De Agencia Espacial del Paraguay. (2014, March 27). Retrieved from http://www.bacn.gov.py/NDY1Mg&ley-n-5151 [2] Nayak A., Sreejith A.G., Safonova M., Murthy J., (2013) High-altitude ballooning programme at the Indian Institute of Astrophysics. Current Science, 104: 708-713 [3] Fuke H., Akita D., Iijima I., Izutsu N., Kato Y., Kawada J., Matsuzaka Y., Mizuta E., Namiki M., Nonaka N., Ohta S., Saito Y., Seo M., Takada A., Tamura K., Toriumi M., Yamada K., Yamagami T. and Yoshida T. (2010) A new balloon base in Japan. Advances in Space Research, 45: 490-497 [4] Smith I.S. (2002) The NASA balloon program: an overview. Advances in Space Research, 30: 1087-1094 [5
the interfacing of different knowledge areas. The observations inthis paper are in line with a study at the national level, performed by Regmi and Willis (2018),which established that the TCIC’s simulated student bid competition challenged students tounderstand and tackle the bidding and estimating process on real world construction projects.ReferencesAnderson, S., Hsu, Y., and Kinney, J. (2016). Using Importance-Performance Analysis to GuideInstructional Design of Experiential Learning Activities. Online Learning, 2016, Vol.20(4)Bauermeister, M.C., Greer, J., Kalinovich, A.V., Marrone, J.A., Pahl, M.M., Rochholz, L.B., andWilson, B. R. (2016). Preparing Students for Leadership through Experiential Learning.Journal of Leadership Education
Engineering Education, vol. 96, issue 4, pp. 359-379, Oct 2007.[6] P. Steif, et al., “Improved Problem Solving Performance by Inducing Talk about SalientProblem Features,” Journal of Engineering Education, vol. 99, issue 2, pp. 135-142, April 2010.[7] B. Crandall, et al., Working Minds: A practitioner's guide to cognitive task analysis.Cambridge, MA: MIT Press, 2006.[8] G. Polya, How to Solve It: A New Aspect of Mathematical Method, 2nd ed. Princeton, NJ:Princeton University Press, 1957.[9] D. Jonassen, “Instructional Design as Design Problem Solving: An Iterative Process,”Educational Technology, vol. 48, issue 3, May-June 2008.[10] S. Salehi, “Improved Problem-Solving Through Reflection,” PhD dissertation, GraduateSchool of Education, Stanford
shows thatstudents prefer having workshops in the evenings as opposed to mornings. The preference forevening workshops is corroborated by Hoffman et al.’s study [7]. This could be due to the timingof survey collection; the 2017 survey was sent out in Mid-March, while the 2018 survey was sentout Mid-January. The differences in preference could be a result of students considering theirschedules for the spring semester in the 2018 data. This could also serve to explain the increasein preference for a one-hour workshop in the ‘amount of time’ data.Figure 3. Student responses to the time of day question asked in the ASEE@SU survey.Figure 4. Student responses to the amount of time question asked in the ASEE@SU survey.Data collected by the STEM
International Strategy,Washington: U.S. Department of Education, 2012.[3] S. Huntley, “Attributes of a global engineer 2014,” Global Engineering Deans Council, July 30, 2014.[html]. Available: http://www.gedcouncil.org/publications/attributes-global-engineer-2014 [Accessed:December 3, 2018].[4] National Research Council, Engineering Tasks for the New Century: Japaneseand U.S. Perspectives. Washington, DC: The National Academies Press, 1999.https://doi.org/10.17226/9624. [Accessed: 2-4-2019].[5] A. Chan, and J. Fishbein, “A global engineer for the global community,” The Journal of PolicyEngagement, vol. 1, no 2, 4-9, 2009.[6] U.S. Department of Defense, Department of Defense strategic plan for language skills,regional experstise, and cultural
It was like an one-stop service for a new instructor so that s/he can save a lot of time finding the right people to ask and avoid mistakes, which eventually cost students dissatisfaction I found it extremely helpful! I had no experience on any of the topics we discussed about, except sexual harassment. Therefore, it was a very nice way to guide us briefly in so many areas in a such short amount of time Learning how to put content onto BlackboardThe followings are the written comments by instructors on how could the workshop be improved? Some hands-on exercise such as development of syllabus or assignment
towards subject area.**=significant differenceConclusions and Future StudyClearly, it is important to identify and research factors that impact girls’ decision to participate inSTEM classes and careers. Curriculum needs to be examined to determine if it not only raisesstudents’ test scores but also provides a stimulus to pursue a career in STEM. Researchdocumenting differences in achievement and attitudes towards STEM subjects need continuedstudy. If differences are evident, it is important to determine when those differences occurred.Without an understanding of the differences in attributes of girls and boys in STEM areas, it isdifficult to provide an equal learning opportunity for both groups.ReferencesAud, S., Hussar, W., Johnson, F., Kena, G
TECHFIT, whosereach have been restricted due to software availability on limited platforms, may want toconsider employing Wine with CrossOver to develop comparable software for otherplatforms used by their participants.References[1] M. E. Joorabchi, M. Ali and K. Philippe, "Real challenges in mobile app development," in Empirical Software Engineering and Measurement, ACM/IEEE International Symposium, 2013.[2] Wine HQ, "What is Wine?," Wine HQ, CodeWeavers, [Online]. Available: https://www.winehq.org. [Accessed 21 January 2019].[3] CodeWeavers, "CodeWeavers Licensing Questions," CodeWeavers, [Online]. Available: https://www.codeweavers.com/store/licensing. [Accessed 21 January 2019].[4] A. R. Harriger, B. C. Harriger, M. G. Flynn and S
contexts.References[1] Le Doux, J. M., & Waller, A. A. (2016). The Problem Solving Studio: An Apprenticeship Environment for Aspiring Engineers. Advances in Engineering Education, 5(3), n3.[2] Philips, S. U. (2001). Participant structures and communicative competence: Warm Springs children in community and classroom. na.[3] Gainsburg, J. (2013). Learning to model in engineering. Mathematical Thinking and Learning, 15(4), 259-290[4] Chi, M. T., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219-243.
bepresented. Overall, students have moderate views of how relevant their mathematics courseworkis to their engineering studies.Overall, students had moderate to slightly positive views of the relevance of mathematics toengineering. This result appears much like a dampened version of the results from Flegg et al.’swork. There is a majority of students that believe math is relevant, but this majority is not asoverwhelmingly large as in Flegg et al.’s work [15].flegg_chart.pngFigure 1: Student survey responses to Likert scale items copied from Flegg et al.(after inconsistentitems removed).0.4 LimitationsThese studies have many limitations, outlined below: • Studies were conducted at a large, elite, research-intensive American institution. Such
argumentation supports the student’s ability toarticulate the reason for approaching a problem in a particular way, justify her/his approach byusing information and reasoning and provide the principles that establish that justification.When analyzing the students’ collective argument, teachers identify three core elements calledthe claim, data, and warrant. The claim is the statement or statements whose validity is beingestablished. The data are statements provided as support for the claims. The warrants arestatements that connect the data to the claim(s). Collective argumentation supports student-to-student or teacher-to-student discussions and allows one to trace her/his understanding of ideasand concepts as they form. While the content within the
Foundation for Education, Washington, D.C., 2009.[3] A. Radford, Military service members and veterans in higher education: What the new GI billmay mean for postsecondary institutions, New York: American Council on Education, 2009.[4] K. Meyers and B. Mertz, “A large scale analysis of first-year engineering student essays onengineering interests,” in ASEE Annual Conference and Exposition, Washington, D.C., 2011.[5] N. Canney and A. Bielefeldt, “Validity and reliability evidence of the engineering professionalresponsibility assessment tool,” J. Engineering Education, vol. 105, no. 3, pp. 452-477, 2016.[6] S. Tucker-Kulesza, G. Liang, E. Fitzsimmons, J. Zacharakis, “Work in Progress: Investigatingthe Role of Social Responsibility on Veteran Student
dimensionsBonus Category (consider project holistically)X1. Uses and/or creates innovation(s) in its specific field to achieve sustainabilityX2. Worked with experts from other disciplines to enhance process or final designThe rubric has been tested with students and their projects in order to iteratively completesubstantive validation and begin structural validation of the Sustainable Design construct,following the Benson model [2]. The first structural study was conducted in Spring 2018 with 51engineering student users for formative assessment of their preliminary capstone project work. Inaddition to individually scoring their projects, students also worked with their capstoneteammates to arrive at consensus scores for each criterion and provide
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. 2013.3. N. Dimitrov, K. Meadows, E. Kustra, T. Ackerson, L. Prada, N. Baker, P. Boulos, G. McIntyre, and M.K. Potter, “Assessing graduate teaching development programs for impact on future faculty.” Toronto: Higher Education Quality Council of Ontario, 2013.4. T. Pinder-Grover, S. Kusano, and G. Agresar, “Work in Progress: Engineering Student Instructors, What Are Their Needs and How Can We Best Prepare Them?,” presented at 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah., June 2018, Paper ID #23779.5. L. S. Vygotsky, Mind in Society. Cambridge, MA, USA: Harvard University Press, 1978.6. (n. d.). “Overview of Inclusive Teaching at Michigan.” http://crlt.umich.edu/overview-inclusive-teaching-michigan
Education, vol. 34, no. 1, pp. 29-45, 2009, Art. no. Electronic.[2] S. M. Reich and J. Reich, "Cultural Competence in Interdisciplinary Collaborations: A Method for Respecting Diversity in Research Partnerships," American Journal of Community Psychology, vol. 38, pp. 51-62, 2006, Art. no. Electronic.[3] A. Kakar, "Teaching analogies and metaphors to enhance communication in interdisciplinary and cross-functional groups," M. S. Electronic thesis, Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, 2008.[4] S. Kim, L. D. McNair, and M. C. Paretti, "Self-Organizing Units in an Interdisciplinary Course for Pervasive Computing Design," in American
the MIDFIELD database,” Esource Coll. Transit. Newsl. Natl. Resour. Cent. First-Year Exp. Stud. Transit., vol. 7, no. 4, p. 4, Mar. 2010.[6] D. R. Krathwohl, “A revision of Bloom’s taxonomy: An overview,” Theory Pract., vol. 41, no. 4, pp. 212–218, 2002.[7] B.S. Everitt, S. Landau, M. Leese, D. Stahl. Cluster Analysis, 5th Ed. Wiley & Sons, 2011.