computing discipline, or uses a Hispanic serving community college as its context. Project Context Rodriguez et al. (2020) Conceptual Framework for Computing Identity developmentFor the theoretical framework, Rodriguez et al. (2020)’s conceptual frameworkfor computing identity development, originally developed for Latinas, which isan expansive framework that focuses on the individual, micro, meso, and eco,and macrosystem levels computing identity development as well as elementsof community cultural wealth, funds of identity, and intersectionality whichconnect the systems across levels. 14 Project
adjust to new people, places, and situations.14. Groups usually produce better results when they are made up of people who all see things thesame way.References[1] S. Nazari, P. Rodriguez, “International Critical Thinking and International CommunicationsAttitudes and Beliefs Survey Report,” University of Florida International Center-Office of GlobalLearning, 2021.[2] R. Davies, H. Zaugg, I. Tateishi, “Design and development of a cross-cultural dispositioninventory,” European Journal of Engineering Education, Volume 40, Number 1, pp. 81-94, 2015.[3] D. B. Knight, K. A. Davis, T. J. Kinoshita, C. Twyman, A. M. Ogilvie, “The Rising SophomoreAbroad Program: Early Experiential Learning in Global Engineering,” Advances in EngineeringEducation, Volume
back, mastery is good wayto learn statics 6% 6% 26% 38% 23%Open Ended QuestionsThe survey involved three open-ended questions. These questions were administered to both thecurrent and previous students. The first question asks the participants to identify what they likeor dislike about the mastery learning method. The second question asks the participants to Page 24.887.10recommend any change(s) to the current version of the method. The last question asks theparticipants if the mastery learning method had any
with anaggregate sample rate of 250 kS/s and a dynamic range of +/- 10 volts. There are two analog-outchannels with 16-bit resolution, four digital inputs, and four digital outputs. Each USB-6211 hasa custom-designed interface board that allows a common signal source to be delivered to allworkstations (see Figure 2). Figure 1: Individual workstation with National Instruments USB-‐6211 and protoboard.The projects all rely on dissemination of one set of signals from a unique origin. Sensor signalsare connected to a distribution panel that fans out the signal to the 24 student positions. This
heat transfer”, 2nd ed., PA: Taylor & Francis, 19975. F. H. Harlow and J. Eddie Welch, "Numerical calculation of time-dependent viscous incompressible flow of fluid with free surface", Phys. Fluids (American Institute of Physics) 8 (12), pp. 2182-2189, 19656. S. V. Patankar, “Numerical heat transfer and fluid flow” Taylor & Francis, 19807. M. Griebel, T. Dornseifer, and T. Neunhoeffer, "Numerische Simulation in der Strömungsmechanik" (in German), Vieweg, 19958. R. Courant, K. Friedrichs, and H. Lewy, "On the partial difference equations of mathematical physics", IBM Journal of Research and Development 11 (2), pp. 215-234, March 1967 [Translation of "Über die partiellen Differenzengleichungen der mathematischen Physik
: Another notable theme that emerged was related to the purpose(s) ofstudent learning, albeit with notable differences between how the project partners and otherparticipants saw EPICS influencing students’ careers. Most of the project partners described theEPICS experience as a way for students to learn practical lessons and skill sets that will helpthem function as an engineer. Describing his motivation for promoting educational outcomes,one participant explained: “The academic world is a lot different than the outside world, and I tryto get that point across to them. When you go out into the outside world your boss is going to tellyou that the bottom line is the dollar.” And as another participant stated, “I want [the students] to,at the end of
previous terms, and in-classparticipation grades improved by 4 percentage points. These and other measures showedimproved understanding and engagement from incorporating carefully designed cooperativelearning activities that took advantage of student-owned electronics. Engineering educatorsshould be encouraged to find activities and problems that will benefit from students’ constantelectronic connectivity. In short, there are many benefits to allowing the students to use classtime to ‘play’ with their phones.i Richtel, M., Digitally Aided Education, Using the Students’ Own Electronic Gear, New York Times, March 22,2013.ii Emery, S. Factors for Consideration when Developing a Bring Your Own Device (BYOD) Strategy in HigherEducation, Masters
buildclarity; and the assumptions that can transfer through multiple stages in project management,amounting to a potentially very serious problem if only detected at the end of the projectmanagement cycle. In some cases, students have recognized this uncertainty and ill definition inthe design and execution stages, which has made an excellent opportunity to ask the student tostate the question/concern in front of the class, applaud her/his insight, and role modelnegotiation of the measure(s) of success with the class. Page 24.1015.6Phase 3: Check and Act (Evaluate)After the activity, students are typically buzzing about what they would have done
provide real world examples that can be used to motivate and educate undergraduates and other students in the master’s program.In order to improve the practicum experience, the faculty are working on the following changes: ― Update the language of the assignments that students needed to resubmit in order to reduce ambiguity. ― Create a forum for students to share their practicum experiences once they arrive on campus for the fall term.Acknowledgements:The authors would like to thank the following firms for hosting practicum interns and forproviding feedback for the program and this paper: Barr Engineering Co., Minneapolis, Minnesota Walter P. Moore, Dallas, TexasReferences:Flood, L. S. and Powers, M. E., “Lessons
, fatigue testing, S-N curve and the simplified S-N curve, with fatigue theory under single level of cyclic stress or loading. We assigned the homework to students through implementing failure theories in specific close-end problems. Students were required to extend these concepts in their open- ended design projects.The Part III: The design of mechanical elements included the following topics: Typical machine elements including: bolts, shaft and key systems, gearing theories, spur gear, and bearings. It was well known that the design of typical machine elements were not the simple application of the stress/ strain theory discussed in the mechanics of materials but rather the application of design procedures. The design procedures
–232, June 2002[3]. Hanfmann, E. (1941). A Study of Personal Patterns in an Intellectual Performance. Character and Personality, 9, 315 – 325. Page 24.1215.15[4]. Klein, G. S. (1951). A Personal World through Perception. In R. R. Blake & G. V. Ramsey (Eds.), Perception: An Approach to Personality. New York: The Ronald Press Company.[5]. Witkin, H. A., Karp, S. A. and Goodenough, D.R. (1959). Dependence in Alcoholics. Quarterly Journal of Studies on Alcohol, Vol. 20,493-504.[6]. Kagan, J. (1958). The Concept of Identification. Psychological Review, 65, 296 – 305.[7]. Kagan, J. (1966). The Generality and
their perceptions onthe roles returners can and do play.References1. Peters, D. L. & Daly, S.R. (2011). The challenges of returning: Transitioning from an engineering career to graduate school. American Society of Engineering Education Annual Conference & Exposition, Vancouver, BC.2. Peters, D. L. & Daly, S. R. (2012). Why do professionals return to school for graduate degrees? Proceedings of the American Society of Engineering Education Annual Conference & Exposition, San Antonio, TX.3. Peters & Daly, (2013). Returning to graduate school: Expectations of success, values of the degree, and managing the costs. Journal of Engineering Education.4. Strutz, M. L., Cawthorne Jr., J.E., Ferguson, D. M
assignment consisted oftwo to three posted homework problems, each having a set of multiple-choice questions withfeedback spaced at different substages of the problem to determine if the student had understoodthe key concepts presented. At the completion of each quiz, the student was provided immediatefeedback on their selection(s). Based on this feedback, students were allowed to retake the quizan unlimited number of times prior to the mid-week discussion session, during which we wouldgo over the pre-assignment problems and address any questions students had in regard to the Page 24.1262.14other homework to be submitted later that week. The only
National Science Foundation (NSF)under awards 722221 and 0939065. Any opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe NSF.References[1] Bernold, L. E., Spurlin, J. E., & Anson, C. M. (2007). Understanding our students: A longitudinal study ofsuccess and failure in engineering with implications for increased retention. Journal of Engineering Education, 96(3), 263-274.[2] Denning, P. J. (1992). Educating a new engineer. Communications of the ACM, 35 (12), 82-97.[3] Froyd, J. E., & Ohland, M. W. (2005). Integrated engineering curricula. Journal of Engineering Education, 94(1), 147-164.[4] National Research Council (Ed.). (2002
increase the level of design complexity without risking overwhelming some otherstudents. The final recommendation is to use the newly designed 3.3V compatible trainersthroughout the course of the labs, which means replacing the traditional TTL 74LS family withthe newer 3.3V compatible 74HC family.References:1. J. Hill, Y. Yu, “The CPLD Provides a Third Option in Introductory Logic Circuits Course,” AC2012-5302, ASEE National Convention, 2012, session W5162. K. Hill, “Schematic Capture – ISE 13.x”, http://uhaweb.hartford.edu/kmhill/suppnotes/isetut/ise13x1/schem.htm3. K. Hill, Y. Yu, “Use of a CPLD in an Introductory Logic Circuits Course,” AC2013-7987, ASEE National Convention, 2013, session M4164. M. Radu, C. Cole, M. Dabacan, and S
-Hill. 11. Latham, G., Latham, S. D., & Whyte, G. (2004). Fostering Integrative Thinking: Adapting the Executive Education Model to the MBA Program. Journal of Management Education, 28(1), 3-18. 12. Miller, A. (1981). Integrative thinking as a goal of environmental education. The Journal of Environmental Education, 12(4), 3-8. 13. Peterson, R. S., & Nemeth, C. J. (1996). Focus Versus Flexibility Majority and Minority Influence Can Both Improve Performance. Personality and Social Psychology Bulletin, 22(1), 14-23. 14. Arkowitz, H. (1992). Integrative theories of therapy. Washington, DC: American Psychological Association. 15. Showers, C. (1992). Evaluatively integrative thinking about
.” Page 23.1041.3Denton, et al demonstrated that an integrated affective-cognitive approach had a positive effecton student learning and achievement in a first-year computing class5,6. Additional studies on theaffective development of first-year engineering students that included the involvement of StudentAffairs have occurred at Arizona State Universities7 in the 1990’s and The University of SouthCalifornia8 in the late 2000’s.Engineering HouseDesign of Engineering HouseOne of the research pilot projects is Engineering House (EH). Ninety-seven percent of first-yearengineering and applied sciences students choose to live in the residence halls even though thereis no requirement that first-year students live on campus. Enrollment in EH has grown
less: lessons from online learning. Learning & Leading with Technology, March/April, 18-22.13. B. Abernethy. (1993). Searching for the minimum essential information for skilled perception and action. Psychological research, 55, 131-138.14. E.R.. Guthrie. (1952). The Psychology of Learning: Revised Edition. Harper Bros:Massachusetts.15. E. Kim, J. Kim, & S. Hong. (2007). The effects of students’ intrinsic motivation on academic achievement and preference for cooperative learning" Paper presented at the annual meeting of the International Communication Page 23.1060.12 Association, San
for data collection, system monitoring, and remote control. Thesystem is required to simultaneously record data from 30 to 40 sensors with samplingfrequencies between kilo to mega samples/s depending on the diagnostic input level and speed.During the preliminary planning of the project, students were responsible for developing theDAQ system from the probe (sensor) amplifier box to the GUI interface. A flow diagram wascreated with a “systems engineering” approach to constructing a timeline and procedure fordevelopment of the system. Project management eventualy became the most prominent hurddle for the collaboration.There were many competing demands on multiple key contributors to the collaboration and timeon task was imperative for
which students tend toward at that particular institution.Bibliography 1. Pascarella, E.T. & Terenzini, P.T. (2005). How college affects students: A third decade of research. San Francisco, CA: Jossey-Bass. 2. Inman, P. & Pascarella, E. (1998). The impact of college residence on the development of critical thinking skills in college freshmen. Journal of College Student Development, 39(6):557-568. 3. Brint, S. & Cantwell, A.M. (2006). Undergraduate time use and academic outcomes: Results from the University of California undergraduate experience survey 2006. Teachers College Record
questionresponse itself.Overall, clickers have shown potential to keep students engaged in the learning process andprovide a means to quickly assess learning success. Students are prompted to connect the newconcept(s) to those learned previously and demonstrate their mastery of it. This allows thestudents and the instructor to rapidly discover whether the introduction of a new concept wassuccessfully scaffolded onto prior knowledge by a critical portion of the class. If the answer is no,the instructor can return to the concept with a clarification or another example. If the answer isyes, the instructor may move on, but the students who privately know they were not correct are
research in the areas of recruitment and retention. A SWE and ASEE Fellow, she is a frequent speaker on career opportunities and diversity in engineering. Page 23.1265.1 c American Society for Engineering Education, 2013 The Transfer Experience for Upper Division Engineering and Computer Science StudentsAbstractSince 2002 an academic scholarship success and professional development program has beenheld at Arizona State University for transfer and non-transfer students supported by NationalScience Foundation CSEM and S-STEM grants for scholars in engineering and
research agenda at the time the paper is presented in Atlanta.The goal is to ensure that the ASEE membership has access to the report close to the time of itsrelease and that ASEE is one of the first organizations to hear a summary presentation on its Page 23.1279.13content.References1. Sanders, M. (2009). Integrative STEM Education: Primer. Technology Teacher, 68 (4), 20- 26.2. Pruitt, S. (in development). Next Generation Science Standards. Achieve.3. Fogarty, R. (October 1991). Ten Ways To Integrate Curriculum. Educational Leadership, 61-65.4. Carr, R.L. & Strobel, J. (2011). Integrating Engineering into Secondary Math and Science
Accrediting Commission Criteria, website http://www.abet.org/DisplayTemplates/DocsHandbook.aspx?id=3150[3] Bergmann, L. S. and Zepernick, J., “Disciplinarity and Transfer: Students’ Perceptions of Learning to Write,” Writing Program Administration, 31, Fall/Winter 2007.[4] Walker, K. “Using Genre Theory to Teach Students Engineering Lab Report Writing: A Collaborative Approach, IEEE Transactions on Professional Communication, 42, 1, March 1999[5] Mackiewicz, J., “The Effects of Tutor Expertise in Engineering Writing: A Linguistic Analysis of Writing Tutors’ Comments.” IEEE Transactions on Professional Communication, 47, 4, December 2004[6] Nelms, G. and Dively, R. L., “Perceived Roadblocks to Transferring Knowledge from First-Year
affects both the amount of time we expect students to spend onIPC project work, and progress they should make toward completion of their portfolio.Establishing a Policy on the Progress of Portfolio CompletionReasonable expectation of progress must be set on the collection and presentation ofportfolio entries by students. For practicality, we tie the policy of progress on portfolioentry categories to the number of credits in each project course. Thus, each semester, aproject student must include an entry (i.e., artifact(s) and reflective commentary) for at Page 23.1344.9least one activity per project course credit. Each new entry must be in a category
, 2011. Retrieved Mar 16, 2012 from http://csunplugged.org/. [3] Blum, L., and Cortina, T. J. CS4HS: an outreach program for high school CS teachers. In Proceedings of the 38th SIGCSE technical symposium on Computer Science Education (New York, NY, USA, 2007), SIGCSE ’07, ACM, pp. 19–23. [4] Blum, L., Cortina, T. J., Lazowska, E., and Wise, J. The expansion of CS4HS: an outreach program for high school teachers. In Proceedings of the 39th SIGCSE technical symposium on Computer Science Education (New York, NY, USA, 2008), SIGCSE ’08, ACM, pp. 377–378. [5] Bruckman, A., Biggers, M., Ericson, B., McKlin, T., Dimond, J., DiSalvo, B., Hewner, M., Ni, L., and Yardi, S. “Georgia Computes!”: improving the computing education
, & Conclusions (Section 4.0).2.0 Methodology This study aims to explore the effectiveness of different combinations of systemsengineering and digital transformation frameworks in the domain of commercial flight. InSummer 2024, Wichita State University (WSU)’s graduate engineering course, IME 764,Systems had ten (10) student teams conduct project-based learning (PBL) with industrysponsors. Three (3) student projects were conducted in the aerospace industry with SpiritAeroSystems in Commercial, Defense, and Space Flight domains. This study examines thecommercial flight domain. Each round of implementation will utilize a synthesized modeltailored to the specific requirements and challenges of the domain. By comparing the outcomesof
] Here I am referencing aspects of methodology (framework) for research (the focus of thebook being quantitative but equally important to consider using qualitative methods) asarticulated in Indigenous Statistics:M. Walter and C. Andersen, Indigenous Statistic: A Quantitative Research Methodology. [Online]. London: Routledge, 2016.[4] This is similar to the dimensions of positionality (research questions, epistemology, ontology,methodology, researcher-as-instrument, communication) articulated by Secules et al. in theirarticle:S. Secules, C. McCall, J. A. Mejia, C. Beebe, A. S. Masters, M. L. Sánchez-Peña, and M. Svyantek, “Positionality practices and dimensions of impact on equity research: A Collaborative inquiry and call