trend in the UK is similar. For example, the UKPassport Office instead of seeking a witness for the applicant of a passport from the traditionalprofessions now includes the statement “…or professionally qualified person e.g. lawyer, engineer,doctor, school teacher, police officer or person of similar standing” [5].Engineering, although long considered a profession, has not remained static in this changing space.Ever since the engineering institutions were established in the UK they have sought prestige andstatus. In the 1950’s and 1960’s engineers in the UK argued for an equivalent organization to theRoyal Society and they were rewarded by the establishment of a Royal Academy of Engineering.Several years before that, American engineers had won
assimilationist goals, ratherthan attacking and undermining the very processes by which (some) subjects become normalizedand others marginalized” (3).9 Relatedly, as McRuer summarizes, representation is not a once-and-for-all attainment: “visibility and invisibility are not after all, fixed attributes that somehowpermanently attach to any identity” (2).5 Rather, we believe that small-n studies, relying ontechniques such as qualitative analysis or narrative reporting by subjects, may shed light onindividual and collective experiences that are far more layered than conventional STEMeducational research normally admits.Most profoundly, researchers’ very definition of their “n”s as small or large reiterates theanalytic value or necessity for established and
CPLD Provides a Third Option in the Introductory Logic Circuits Course,” ASEE National Convention, 2012, session W516, AC 2012-53025 D. Hodges, H. Jackson, and R. Saleh, Analysis and Design of Digital Integrated Circuits in Deep Submicron Technology, third edition, copyright 2004 by McGraw-Hill.6 S. Kang and Y. Leblebici, CMOS Digital Integrated Circuits, third edition, copyright 2003 by McGraw-Hill.7 D. Kolb, “Chapter Two: The Process of Experiential Learning,” Experiential Learning, Experience as The Source Page 26.1252.15 of Learning and Development, copyright 1984 by Prentice-Hall.8 K. Nickels, “Pros and Cons of replacing
environment anunderstanding level of learning is expected. As students progress to performing project work, orcollecting flight test data in a student only event an application level of learning is expected. Forboth practical and written final exams a correlation level of learning is expected.Finding the proper level of student engagementMost students at USAF TPS are atypical for a university environment. Entrance to the school ishighly selective, and as such most students already possess at least one post graduate degree, haveadvanced study skills, are extremely competitive and motivated, are usually in their late 20’s orearly 30’s, and all have shown significant military career progression potential. Student pilots areconsidered experts in their
methods were utilized toanalyze the data and report on the findings. Quantitative data analysis was conducted using SPSS(Software Package for Social Sciences). This study makes use of a variety of statistical tools in order to reach its conclusion, about95% confidence intervals were produced using hypothesis testing; Wilcoxon signed rank test andMann Whitney U test for non-parametric data to determine skills satisfaction gaps between preand post participation and skills and knowledge satisfaction as self-reported by the students afterhaving such experience. Reliability was demonstrated using Cronbach`s alpha in order to determine the internalconsistencies of the used satisfaction scales, Cronbach alpha values above 0.9 indicate
. J., 2005, “The Role of the Laboratory in Undergraduate Engineering Education,” Journalof Engineering Education, 94, p. 121-130.11. Steif, P., & Dollar, A. 2004, Reinventing The Teaching Of Statics, ASEE Annual Conference, Salt Lake City,Utah12. Kaul, S., & Sitaram, P. 2013, Curriculum Design of Statics and Dynamics: An Integrated Scaffolding andHands-on Approach ASEE Annual Conference, Atlanta, Georgia.13. Ramming, C. H., & Phillips, J. J., 2014, June, Improving Retention of Student Understanding by Use of Hands-on Experiments in Statics ASEE Annual Conference, Indianapolis, Indiana.14. Hennessey, M., 2008, Statics and Dynamics Projects Emphasizing Introductory Design and Manufacturing, inProc. ASEE Annual Conf. & Expo
on4:30pm Projects Figure 1. FREEDM M Young Scho olars program m at Arizona S State Universiity.1. Class Time The class time consists prim marily of interactive preseentations givven by the grraduate studdentmentors, with an occasional guesst lecture. The presentattions are maiinly concernned with thetopics off electrical en nergy and renewables including: elecctricity and ppower system ms, overview w ofrenewablle energy, ph hotovoltaics (PV), solar thermal, winnd
, Available: http://www.actionaidusa.org , Accessed 17 October 2013. [2] A. Taylor. Women and the city 2 combating violence against women and girls in urban public spaces the role of public services. ActionAid USA, Available: http://www.actionaidusa.org , Accessed 17 October 2013. [3] Creamer, E. G. (2012). Effects Of Numeric Representation Of Women On Interest In Engineering As A Career. American Journal of Engineering Education (AJEE) , 3 (1), 112. [4] Goodman, I. and C. Cunningham (2002). Final Report of the Women's Experiences in College Engineering (WECE) Project. Cambridge: Goodman Research Group, Inc. [5] Hathaway, R.S., Sharp, S. and Davis, CS. Programmatic efforts affect retention of women in science and engineering. Journal of
scientists. Retrieved from http://www.bls.gov/oco/ocos046.htm8. Chen, X. (2009). Students who study science, technology, engineering, and mathematics (STEM) in postsecondary education. Washington, D.C. U.S. Department of Education, NCES 2009=161, National Center for Education Statistics.9. Craig, M. A., & Richeson, J. A. (2014). On the precipice of a “Majority-Minority” America perceived status threat from the racial demographic shift affects white Americans’ political ideology. Psychological science, 0956797614527113.10. Creswell, J. (2015). Educational research: Planning, conducting, and evaluating, quantitative and qualitative research (5th ed.). Boston: Pearson.11. Hagedorn, L. S., & Purnamasari
external motivation to keep their teams moving forward and makeprogress towards their STEM goals through the following forums and community activities: • Attend Cohort Monthly Meetings to share best practices and hear from guest speakers. • Participate in KickStarter’s NSF program-specific group meetings and related KickStarter communications including access to existing resources such as NSF proposal preparation workbooks (e.g., join the S-STEM working group to share ideas and discuss aspects of the S-STEM proposal). • Get the latest updates on NSF proposals and webinars with access to the STEM Network and KickStarter group. • Support and training provided for new and additional faculty and proposal teams
, Experiential Learning: Experience as the Source of Learning and Development, Prentice Hall, Englewood Cliffs, N.J., 1984.[2] J. N. Harb, S. O. Durrant, and R. E. Terry, ”Use of the Kolb Learning Cycle and the 4MAT System in Engineering Education,” Journal of Engineering Education, Vol. 82, April 1993, pp. 70-77.[3] J. N. Harb, R. E. Terry, P. K. Hurt, and K. J. Williamson, Teaching Through The Cycle: Application of Learning Style Theory to Engineering Education at Brigham Young University, 2nd Edition, Brigham Young University Press, 1995.[4] J. Dewey, Experience and Education, Macmillan, N.Y., 1939.[5] C. M. Itin, “Reasserting the Philosophy of Experiential Education as a Vehicle for Change in the 21st Century,” The Journal of
in the project increasedtheir confidence to enter the workplace [16]. Likewise, students involved in the project discussedin this paper have stated that they are more comfortable and competent with working withacademic/industry professionals through this research experience.SE Student 1:SE Student 1 is the first author of this paper and considers this type of research disseminationactivity to be highly reflective of the unique opportunities that have been presented to him on thisproject. SE Student 1’s main motivations are to expand his professional network, contribute toresearch and writing of conference papers/presentations, and to collaborate with industryprofessionals on a project that has a humanitarian outcome. The research team is
Society for Engineering Education Annual Conference & Exposition.Edington, S., Holmes Jr., A. L., & Reinke, P. (2015). A tale of two common reads: Models for developing a successful common reading program for first-year engineering students. In American Society for Engineering Education.Godwin, A., Potvin, G., Hazari, Z., & Lock, R. (2016). Identity, critical agency and engineering: An affective model for predicting engineering as a career choice. Journal of Engineering Education, 105(2), 312–340.Good, C., Rattan, A., & Dweck, C. S. (2012). Why do women opt out? Sense of belonging and women’s representation in mathematics. Journal of Personality and Social Psychology, 102(4), 700–717.Jordan, K. L
. Recognition was also central in Barton et al.’s [8]longitudinal study tracing the identity work of girls from nondominant backgrounds. They foundthat girls imagined for themselves possible futures in science when their identity work wasrecognized and scaffolded while they engaged with science in formal and informal learningsettings. These studies contribute to a growing realization of the complex work girls face inconstructing and sustaining a disciplinary identity in STEM. These researchers, along withothers, call for further studies to enrich our understanding of the aspects of identity construction,especially with regards to the interaction between gender, ethnicity, and STEM in the transitionto adulthood.One avenue that holds promise to transform
95 R-Square 5.57% R-Square Adjusted 3.21% S (Pooled Standard Deviation) 1.454 Table 7. Analysis of Variance Results for Problem 1 ANOVA Source df SS MS F P Group 1 10.287 10.287 4.867 0.029* Grade on Exam 1 2 2.827 1.414 0.669 0.514 Error 120 253.64 2.114 Total 123 268.60 2.184 *5% significance level, ** 1
: If yes, what disadvantages did that introduce? o Free Response, only answered by students in multidisciplinary groups • Q9: Based on your experiences, what is the greatest challenge for effective communication between team members? o Free Response • Q10: I feel the collaboration within my team was successful when working together towards our learning objective(s). o 5-Point Likert Response (strongly agree to strongly disagree) • Q11: I feel that my groups learning objectives were achieved. o 5-Point Likert Response (strongly agree to strongly disagree) • Q12: I feel the deliverable(s) my team achieved are appropriate for our defined group learning objectives
/262274614_Simply_Python_for_CS0/links/54de78c40cf296663786a2a1/Simply-Python-for-CS0.pdfArora, S. A. S. (2018, September 5). Learn Python: Tutorials for Beginners, Intermediate, andAdvanced Programmers. Retrieved January 11, 2020, from https://stackify.com/learn-python-tutorials/.Ateeq, M., Habib, H., Umer, A., & Rehman, M. (2014). C++ or Python? Which One to Beginwith: A Learner's Perspective. In 2014 International Conference on Teaching and Learning inComputing and Engineering (pp. 64–69). (Available:https://www.researchgate.net/publication/271425337_C_or_Python_Which_One_to_Begin_with_A_Learner's_Perspective)Bell, C. (2017). MicroPython for the Internet of Things: A Beginner’s Guide to Programmingwith Python on Microcontrollers. Apress. https://link.springer.com
preparedness and self-efficacy. In ASEE Annual Conference and Exposition, Conference Proceedings. American Society for Engineering Education, 2012. [4] S Marikunte, F Harackiewicz, J Nicklow, and L Chevalier. Benefits and challenges of training teaching assistants. In ASEE Annual Conference and Exposition, Conference Proceedings. American Society for Engineering Education, 2006. [5] RJ Gustafson. Determining impact of a course on teaching in engineering. In ASEE Annual Conference and Exposition, Conference Proceedings. American Society for Engineering Education, 2011. [6] S Montgomery. A hands-on course on teaching engineering. In ASEE Annual Conference and Exposition, Conference Proceedings. American Society for Engineering
, Cohort 2 has almost twice the number of students. This is one set ofdata points that suggest the approaches utilized in STRIDE are not only effective, but may evenbe improving in their execution. It should be noted that there could also be various reasons forthese changes, and continuous improvement and revisiting of new data is recommended. A boostin overall average of Cohort 2 over Cohort 1 could have been as a result of a stronger incomingfirst year class. It could have also been due to the recent implementation of university-wide firstyear advising. In the year that Cohort 1 was in their first year, the university did not have its newFirst Year advising model. In Cohort 2’s first year, the university did have it. Hence, this couldhave also
Department at Seattle University. Dr. Cook received her doctorate in Social and Personality Psychology from the University of Washington, with a minor in quantitative methods and emphases in cognitive and educational psychology. Her research has included classroom learning, person perception, health perceptions, and jury decision making.Dr. Gregory Mason P.E., Seattle University Gregory S. Mason was born and raised in Spokane Washington. He received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. degree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digital controls, from the University of Washington in
UndergraduateEngineering Programs Emphasize? A Systematic Review. J. Eng. Educ., 106: 475-526.doi:10.1002/jee.20171[3] Woods, D.R.,Problem-Based Learning: Helping Your Students Gainthe Most fromPBL,Woods, Waterdown ON ISBN 0-9698725-1-8, 1996,Chapter 3, distributed on the WWWthrough http://chemeng.mcmas-ter.ca/problem based learning/.[4] Engineering Criteria 2000, 2nd Ed., Engineering Accreditation Commission of theAccreditation Board for Engineering Technology (ABET), Baltimore, MD, 1996.[5] Sternberg, R.J., “Criteria for Intellectual Skills Training,”Educa-tional Researcher, Feb., 1983,pp. 6-12.[6] Robin S Adams, Jennifer Turns, Cynthia J Atman, Educating effective engineering designers:the role of reflective practice, Design Studies, Volume 24, Issue 3, 2003
to evaluatethe impact of retention factors on larger private and public institutions. Machine Learning and datamining can be very rewarding as researchers can apply many different methods to institutions of all sizesand types as needed. The suggestion of establishing a centralized center supporting different kinds ofresearch to solve retention problems could impact the university’s marketing and recruitment activities aswell. Improved management of new, innovative, and existing resources could improve retention andallow for greater financial stability at Jonson C. Smith University.References[1] L. A. Spakman, W. S. Maulding and j. G. Roberts, "Non-cognitive predictors of student success in college.," College Student Journa, p. 46, Fall
listen to me: Anticipated power and women’s disinterestin male-dominated domains,” Group Processes & Intergroup Relations, vol. 18, no. 1, pp. 116-128, Jan. 2015.[4] V. VanDoren, “Road to engineer's license is both difficult and worthwhile,” ControlEngineering, vol. 45, no. 1, pp. 21, Jan. 1998.[5] J. Keen and A. Salvatorelli, “Principles and Practice of Engineering Exam Pass Rate byGender,” Engineering Studies, vol. 10, no. 2-3, pp. 158-168, Sept. 2015.[6] E. Hamm, “Have you considered certification?” Cost Engineering, vol. 37, no. 2, pp. 6, Feb.1995.[7] J. Naveda and S. Seidman, “Professional certification of software engineers: The CSDPprogram,” IEEE Software, vol. 22, no. 5, pp. 73-77, Sept. 2005.[8] D. S. Sink and J. L. Higle, “Fusion
] Johnson, M.J., & Sheppard, S. D. (2004). Relationships between engineering students and faculty demographicsand stakeholders working to affect change. Journal of Engineering Education, 93, 139-151.[2] Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B. (2012). Leaving engineering: A multi-year singleinstitution study. Journal of Engineering Education, 100(2), 225-246.[3] Besterfield-Sacre, M., Moreno, M., Shuman, L. J., & Atman, C. J. (2001). Gender and ethnicity differences infreshmen engineering student attitudes: A cross-institutional study. Journal of Engineering Education, 90(4), 477-489.[4] Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B. (2009). Women engineering students and self-efficacy: Amulti-year, multi-institution
designed to improve conflict management withinengineering student project teams. A common strategy to manage conflict within engineeringstudent project teams is through the direct intervention of a member of the teaching team. Paretti[14] found that there were generally two approaches for this type of intervention, the first is afaculty member meeting with the whole team to address the conflict as a group, and the second isa faculty member meeting with just the student(s) at the heart of the problem. These strategiesare most effective in smaller classes where the teaching team can take a hands-on approach withall teams encountering conflict. In larger classes, this becomes much more difficult. To supportlarge numbers of students with little
). All comparisons between pre- and post- responses for each question were statistically significant (p < 0.0001).We analyzed the open-ended responses to uncover themes related to professional skills andempathetic design. When asked the question in the post-survey “What was/were the mostbeneficial aspect(s) of the course to you?” the overwhelming response by 50 of the 52 totalresponses mentioned that the customer interviews, which were a requirement for the businessmodel reports, were the most beneficial. Several other students mentioned that they will utilizecustomers’ perspectives when working in the future: “The most beneficial aspects [of the course] were definitely from the insights and connections
-2023/[3] F. Chiarello, P. Belingheri, and G. Fantoni, “Data science for engineering design: State of the art and future directions,” Computers in Industry, vol. 129, p. 103447, 2021.[4] J. Dastin, “Amazon scraps secret AI recruiting tool that showed bias against women,” in Ethics of data and analytics, Auerbach Publications, 2022, pp. 296–299.[5] A.-B. Gran, P. Booth, and T. Bucher, “To be or not to be algorithm aware: a question of a new digital divide?,” Information, Communication & Society, vol. 24, no. 12, pp. 1779–1796, 2021.[6] D. Milmo, “Twitter admits bias in algorithm for rightwing politicians and news outlets,” The Guardian, 2021.[7] Z. Obermeyer, B. Powers, C. Vogeli, and S. Mullainathan, “Dissecting racial bias
.2018.00092.[2] CLAS. "CLAS: Collaborative Learning Annotation System." UBC Arts ISIT. https://clas.ubc.ca (accessed June 1, 2023).[3] C. Mulryan-Kyne, "Supporting reflection and reflective practice in an initial teacher education programme: an exploratory study," European journal of teacher education, vol. 44, no. 4, pp. 502-519, 2021, doi: 10.1080/02619768.2020.1793946.[4] S. Ledger and J. Fischetti, "Micro-teaching 2.0: Technology as the classroom," Australasian journal of educational technology, vol. 36, no. 1, p. 37, 2020, doi: 10.14742/ajet.4561.[5] H. Crichton, F. Valdera Gil, and C. Hadfield, "Reflections on peer micro-teaching: raising questions about theory informed practice," Reflective