Collection

2013 GSW

Authors

John Sibert; Matthew Goeckner; Dave Galley; Kory Goldammer

year institutions, Collin College and Richland College, to UT Dallas that will lead to moreSTEM majors in an absolute sense and greater opportunities for success and engagement as thesestudents proceed to STEM degrees. The pipeline has been established with focus now beingdrawn to interventions that will facilitate transfer student success at the four-year institution. References1. Augustine, N. R., Barrett, C. R., Cassell, G., Chu, S., Gates, R. M., Grasmick, N. S., Holliday, C. O., Jackson, S. A., Jones, A. K., Lederberg, J., Levin, R., Mote, C. D., Murray, C., O’Donnell, P., Raymond, L. R., Richardson, R. C., Vagelos, P. R., Vest, C. M., Whitesides, G. M., Zare, R. N., 2007, Rising

Collection

2013 GSW

Authors

Cherif Aissi; Mohammed Zubair

 Chua’s Circuit,” International Journal of  Bifurcation and Chaos, vol. 18, no. 4, pp. 943–955, 2008.4. S. M. Yu, J. Lü, and G. Chen, “Multifolded torus chaotic attractors: Design and implementation,” Chaos, vol. 17, no. 1, p. 013118, Mar. 2007.5. J. Lü and G. Chen, “Generating multiscroll chaotic attractors: Theories, methods and  applications,” Int. J. Bifurc. Chaos, vol. 16, no. 4, pp. 775–858, Apr. 2006.6. S.Özoguz, A. S. Elwakil, and K. N. Salama, ˘ “N-scroll chaos generator using nonlinear transconductor,” Electron. Lett., vol. 38, no. 14, pp. 685–686, Jul. 20027. J. Lü, X. Yu, and G. Chen, “Generating chaotic attractors with multiple merged basins of  attraction: A switching piecewise-linear control

Collection

2017 ASEE Midwest Section Conference

Authors

Neville Tay; Xiu Jie Low; Vinay Patil; Eylem Asmatulu

exposure. The reduction in water contact angle is closely related to the reduction in themechanical strengths. Two of the engineering students, also authors of this study, designed,developed and performed these tests on the 3D printed specimens. The BS students have usedthese research activities for their Engineer of 2020 requirements. Overall, these studies greatlybenefit undergraduate engineering students for their future academic studies in differentinstitutions.AcknowledgementsThe authors greatly acknowledge the Wichita State University for the financial and technicalsupports of this study.References[1] Cantrell, J., Rohde, S., Damiani, D., Gurnani, R., Disandro, L., Anton, J., Young, A., Jerez,A., Steinbach, D., Kroese, C., and Ifju, P. (2016

Collection

2010 ASEE Midwest Section Conference

Authors

Greg Murray; Tim Thomas

was thepreferred way to create drawings. But as with everything else in today‟s society, technology isdriving change in the world of engineering graphics. The days of learning to draft on a board arequickly giving way to three-dimensional, parametric modeling as the preferred method ofconveying geometry and dimensions of a part.The PSU MET Program content was based on the historical program development versusmeeting defined and documented constituent driven objectives. The program evolved from adrafting, then machine design/drafting program to an ABET/TAC accredited engineeringtechnology program. The „baseline‟ program courses and course content matched the facultycredentials (2 faculty, 50%, engineering, 2 faculty, 50%, drafting) in 2000

Collection

2007 ASEE Midwest Section Conference

Authors

Larry A. Glasgow

3 4571856 therefore, < V >= = 8.9 x107 ft/s. So, π (0.1278) 2 d ρ (.1278)(8.9 x10 7 )(55) Re = = = 1.66 x1012 μ (0.56)(6.72 x10 − 4 ) This Reynolds number verifies turbulent flow. L w = gΔz + 1 V 2 f so, power=1.66x1016 hp. 2 RhThe student knew what was needed and followed the necessary steps. However, he made aconversion (dimensional) error in the very first step and failed to recognize that his computedaverage velocity was ridiculously large (the

Collection

2007 ASEE Midwest Section Conference

Authors

Christopher C. Ibeh; Monika Bubacz; Andrey Beyle; Stefano Bietto; Stan Scoville; Dilip Paul; Charles Blatchley

silicon atoms with a size of 2 nanometers or less and, because of their thin size, may be embedded into matrix composites without causing • Table II: Textural Properties of Mixed Metal Oxide Nanoparticles SrTiO3 Crystallite Surface Total Pore Avg Pore 2 Sample Size (nm) Area (m /g) Volume Size (d), Å (cc/g) CM-SrTiO3 145 1.0 0.003 93 S NCM- 25 17 0.12 290 SrTiO3 SrTiO3 25 82

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

David J. Palazzo; Chad C. Schools

acceleration, 3.8 g, is in accordance with many of today's roller coasters, where coasterengineers typically design for a maximum acceleration of 4 g. 9 o’clock 2 o’clock Figure 2a: Plot of Speed (m/s) vs. time (s) for the front cart. Figure 2b: Plot of Total Acceleration (m/s2) vs. Time (s) for the front cart. This analysis could easily be scaled to varying levels of difficulty and may also be suitable forengineering disciplines as well. Other physical phenomena which could be investigated from this casestudy include conservation of energy, non-conservative forces acting on the cart during its motion throughthe

Collection

2007 Spring ASEE Middle Atlantic Section Conference

Authors

Stefan A. Robila

/ChoicePoint, (accessed October 10, 2005).[3] Scatlet S. D., 2005, The five most shocking things about the ChoicePoint debacle, CSO Magazine, May 2005, http://www.csoonline.com/read/050105/choicepoint.html, (accessed January 5. 2007).[4] Privacy Rights Clearinghouse, A Chronology of Data Breaches Since the ChoicePoint Incident, http://www.privacyrights.org/ar/ChronDataBreaches.htm, (accessed March 10. 2007).[5] Privacy Rights Clearinghouse, Chronology of Data Breaches 2006: Analysis, http://www.privacyrights.org/ar/DataBreaches2006-Analysis.htm, (accessed March 10. 2007).[6] Attrition.org Data Loss Archive and Database, http://attrition.org/dataloss/, (accessed January 5. 2007).[7] Hasan, R. and Yurcik, W. 2006

Collection

2007 Spring ASEE Middle Atlantic Section Conference

Authors

Phil Dacunto P.E.; Mike Hendricks

⎜ − ⎟⎪exp⎜ ⎟ + exp⎜ − ⎟⎪ 2πuσ y σ z ⎜ 2σ 2 ⎟⎨ ⎜ 2σ 2 ⎟ ⎜ 2σ z2 ⎟⎬ ⎝ y ⎠⎪ ⎝ ⎩ z ⎠ ⎝ ⎠⎪ ⎭ Q = source emission rate [g/s] u= wind speed [m/s] y = crosswind distance from stack of point of interest [m] z = vertical height of point of interest (0 for ground-level concentration)[m] H =effective stack height [m] (includes plume rise) σy =horizontal stability parameter (a function of downwind distance x, and stability) [m] σz

Collection

2007 Spring ASEE Middle Atlantic Section Conference

Authors

Deran Hanesian; Angelo J. Perna

to give a more mature group of students,independent research experience coupled with critical thinking, teamwork, andan extensive development of communication skills. Undergraduate research at NJIT has been an integral part of thecurriculum since the 1960’s. In recent years, two other research programs havebeen made available to the students and in some cases grant curriculum credit.These programs are the URE (1990) and the McNair (1999) programs, which aredesigned to recruit qualified students from underrepresented groups andintroduce them to the challenges associated with research. The students areexpected to perform original research under the guidance of a faculty mentor andto publish the results of their research in acceptable

Collection

2007 Spring ASEE Middle Atlantic Section Conference

Authors

Paul G. Ranky

that learners can interrogate objects, takeproducts virtually apart in 3D, enjoy virtual factory or facility tours and evenparticipate/ collaborate actively by e-mail and other Internet methods.In terms of challenging the learner to learn and investigate the illustratedcase(s) further the cases give them several direct URL (web) contacts, e-mailaddresses so that they can get in touch with anybody over the web, includingany of the authors who have created/ presented the cases. In several cases,assessment is supported by spreadsheet-based automated tools, that in case ofan incorrect answer hyper-links the learner back to a variety of revisionsolutions, so that the missed material can be learned, and the test re-taken. Theassessment questions

Collection

2006 Spring ASEE Middle Atlantic Section Conference

Authors

Keith M. Gardiner

equivalent of 18 fifty-minute lecture sessions together with practical engineering laboratories for two afternoons aweek. The class usually accommodates between 150 and 175 students, they are dispatched ingroups about 25 strong to each of Lehigh’s seven engineering departments where they work insmall teams undertaking innovative problem solving assignments for half the semester. In mid-semester elected or appointed representatives from each group present their discoveries andconclusions to the whole class; groups are then re-configured and the process repeats for thesecond half of the semester. This way every student ha s an experience with the faculty andfacilities in two departments, but every student learns about the experiences of their peers

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

Rashmi Jain; Keith Sheppard; Elisabeth McGrath; Bernard Gallois

design, encourage a mindset in which students seek technicalsolutions often rooted in a specific engineering discipline with little regard for the context in which theirproduct, system, or service may be deployed, the societal or business need(s) it may fulfill or even itsrelations to all the other engineering, business or ‘environmental’ domains that can contribute to success.In order to better prepare engineers with a systems perspective and the competencies to be effective insystem design, there is a need to promote the development of systems thinking in engineeringundergraduates. Coupled to these efforts we also see the merits of seeding this approach even earlier inK-12 communities as part of a movement to incorporate pre-engineering into

Conference Session

WIP: Student Success and Sustainability

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alison Leigh Banka, University of Georgia

Tagged Divisions

Chemical Engineering Division (ChED)

] T. Buckmiller, R. Peters, and J. Kruse, “Questioning Points and Percentages: Standards- Based Grading (SBG) in Higher Education,” Coll. Teach., vol. 65, no. 4, pp. 151–157, 2017, doi: 10.1080/87567555.2017.1302919.[5] M. E. Selbach-Allen, S. J. Greenwald, A. E. Ksir, and J. E. Thomley, “Raising the Bar with Standards-Based Grading,” PRIMUS, vol. 30, no. 8–10, pp. 1110–1126, Nov. 2020, doi: 10.1080/10511970.2019.1695237.[6] M. Knight and R. Cooper, “Taking on a New Grading System: The Interconnected Effects of Standards-Based Grading on Teaching, Learning, Assessment, and Student Behavior,” NASSP Bull., vol. 103, no. 1, pp. 65–92, Feb. 2019, doi: 10.1177/0192636519826709.[7] M. C. Lovett, M. W

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hsin-Li Chan, Penn State University; Yuan-Han Huang, Penn State University; Barukyah Shaparenko, Penn State University

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

complexities of LP modeling successfully. In conclusion, integrating mathematicalconcepts with applied examples can serve as a crucial bridge, linking theoretical understanding topractical application. This approach fosters a deeper comprehension of the subject matter,benefiting students across engineering disciplines. Through delving into the intricacies ofengineering education, it becomes evident that a holistic approach, encompassing factors such aseffective learning strategies, cognitive skills development, and practical application, is essentialfor nurturing well-rounded and successful engineering students.References[1] E. Crawley, J. Malmqvist, S. Ostlund, D. Brodeur, and K. Edstrom, “Rethinkingengineering education,” CDIO Approach, vol

Conference Session

Educational Research and Methods Division (ERM) Technical Session 17

Collection

2024 ASEE Annual Conference & Exposition

Authors

Oluwafemi J. Ajeigbe, Texas A&M University; Talodabiolorun Anne Oni, Washington State University; Oluwafemi J. Sunday, Washington State University ; Olusola Adesope, Washington State University; Olufunso Oje, Washington State University; Bernard J. Van Wie, Washington State University; Jacqueline Gartner Ph.D., Campbell University; Prashanta Dutta, Washington State University; David B. Thiessen, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

creativity and innovation ineducation." Journal of education and learning, 2017, pp. 201-208.[2] S. A. Kalaian and R. M. Kasim, “Effectiveness of various innovative learning methods inhealth science classrooms: a meta-analysis,” Adv in Health Sci Education, 2017 pp. 1151–1167.[3] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., &Wenderoth, M. P. Active learning increases student performance in science, engineering, andmathematics. Proceedings of the national academy of sciences, 111(23), 2014, pp. 8410-8415.[4] Johnson, David W., and Roger T. Johnson. "Cooperative learning: The foundation for activelearning." Active learning—Beyond the future, 2018, pp. 59-71.[5] Lin, Galvin Sim Siang, et al. "Innovative

Conference Session

Transfer issues between 2-year colleges and 4-year Engineering and Engineering Technology programs 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cory Brozina, Youngstown State University

Tagged Topics

Diversity

Tagged Divisions

Two-Year College Division (TYCD)

faculty, students,and university services.AcknowledgmentThis material is based upon work supported by the National Science Foundation under grantnumber 2028005 within the SSTEM program. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.ReferencesAljohani, O. (2016). A Comprehensive Review of the Major Studies and Theoretical Models ofStudent Retention in Higher Education. Higher Education Studies, 6(2). Canadian Center ofScience and Education.Bean, J., & Metzner, B. (1985). A Conceptual Model of Non-traditional Undergraduate StudentAttrition. Review of educational research, 55(4), 485-540.http://dx.doi.org

Conference Session

Educational Research and Methods Division (ERM) Technical Session 11

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York; Muhammad Ali Sajjad, University at Buffalo, The State University of New York

Tagged Divisions

Educational Research and Methods Division (ERM)

Paper ID #44482Work in Progress: Stigma of Mental Health Conditions and its Relationshipto Conditions’ Knowledge and Resource Awareness among Engineering StudentsMatilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment Research in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in institutional efforts

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Noemi V Mendoza Diaz, Texas A&M University; Magdalini Z Lagoudas, Texas A&M University

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

. BibliographyLagoudas, M., Yoon, S. Y., Boehm, R., & Asbell, S. (2020, July). Impact of an I-corps site program on engineering students at a large southwestern university: Year 3. In Zone 1 Conference of the American Society for Engineering Education.Lagoudas, M., Yoon, S. Y., & Boehm, R. (2019, July). The Implementation and Assessment of an I-Corps Site at a Southwestern University: Lessons Learned. In Zone 1 Conference of the American Society for Engineering Education.Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.Denzin, N. K. (2007). Triangulation. The Blackwell encyclopedia of sociology.Lincoln, Y. S., & Guba, E. G. (1985

Conference Session

Educational Research and Methods Division (ERM) Technical Session 20

Collection

2024 ASEE Annual Conference & Exposition

Authors

Eduardo Rodriguez Mejia M.Sc., Rowan University; Cheryl A. Bodnar, Rowan University

Tagged Divisions

Educational Research and Methods Division (ERM)

intrinsic value was found to be a mediating factor and predictor of this behavior.Specifically within the field of engineering, Hasbun et al. 's [3] study on motivating doctoral studentssupports that the end of coursework marks a critical point in students’ motivation towards degreecompletion.Recent studies have explored engineering graduate students' motivation through different theories andframeworks, including Identity Based Motivation (IBM), Future Time Perspective (FTP),Expectancy-Value Theory (EVT), Graduate Engineering Identity (GEI), and Graduate attrition decision(GrAD) [5], [6], [7], ,[8]. Findings from these studies have shown that graduate engineering identity is akey contributor to graduate student motivation and persistence

Collection

2015 Spring ASEE Middle Atlantic Section Conference

Authors

Edward M. Land; Michael Marcus; Harley Hartman; Anthony Derosa; Seth Klepper; Eduardo Rayner; Justin Stahl; Hansong Li

seeking Electromechanical Engineering candidates from PSY. Student(s) from JHUwork as credit seeking or non-credit seeking research assistants (RAs); RAs provide participatorysupport throughout the semester on an as needed basis to address technical or procedural issues.The collaborative teaching method employed between the two universities was a one-hour, two-way (w/feedback) weekly phone conference call which was set aside for each Monday between 5and 6 pm. PSY students continued to meet as a team following the conference call, with theirprofessors, conducted and recorded the results of lab experiments. The outcomes of which, wereshared with all three instructors.A small grant was obtained from Penn State York’s Advisory Board Committee to

Collection

2011 Spring ASEE Middle Atlantic Section Conference

Authors

Gay Lemons; Adam Carberry; Chris Swan

priori categories.MethodologyVerbal Protocol Analysis (VPA) was used to analyze the cognitive strategies of students as theywere solving a design task. During VPA data collection, subjects are asked to think aloud whileperforming a task [15]. From participants’ verbal reports, we can gain insights into how subjectsgenerate and transform information about the problem, as well as how they go about developinga solution.Verbal Protocol Analysis has been used extensively since the 1970’s to study the cognitiveprocesses of engineering students [3, 5, 23, 27] as well as experienced designers [7, 10, 14]. AlthoughVPA is considered the most appropriate method to study the cognitive abilities and processes ofdesigners it is not an assessment tool

Collection

2009 Fall ASEE Middle Atlantic Section Conference

Authors

B. Samanta

=1,…,s, s being the number of sub-swarms and r is a random integer between 1 and s,representing the random index of the sub-swarm whose gbest is selected in the velocity update.             C. COPSO Based Learning of SMN Model ParametersThe aim of the present approach is to select the SMN model parameters (wii and bi) such that anobjective function representing the mean square error (MSE) is minimized. J ∑N y y (8) Nwhere o is the observation (sample) index and N represents the total number of samples. In thepresent work, COPSO was used to select the SMN model parameters from a user

Collection

2011 Pacific Southwest Section Meeting

Authors

Ricardo Medina; MURAT OKCAY; Gustavo Menezes; Arturo Pacheco-Vega

  47    equation may affect the results obtained by experimental data, in which such assumptions are often not valid. Equation (1) relates pressure changes to changes in velocity and elevation. In general, the value of the constant in the Bernoulli equation is different on different streamlines. The streamlines in the experiment can be observed qualitatively by tracking the particles flowing with the fluid (water). Figure 2 shows a 3-image sequence captured 1/30 s apart. In this sequence it is possible to notice the movement of particles, as highlighted in Figure 1. PIV uses the position at different

Collection

2008 ASEE Zone 1 Conference

Authors

Abdelshakour Abuzneid; Sarosh Patel; Viqar U. Mohammed; Varun Kumar Godula

power (1mW) and is therefore designed for short-range use of less than 10 meters.Bluetooth can support an asymmetric link with up to 723.2 kb/s in one direction and 57.6 kb/s in the return direction,or a symmetric link with 433.9 kb/s in both directions at once. Bluetooth devices switch frequencies 1600 times perseconds (frequency hopping) making it almost immune to security risks and external interference even though thedevices share the ISM band with many other wireless technologies. 1 Bluetooth devices are capable of both point-to-point and point-to-multipoint communications. Due to powerlimitations Bluetooth operates in

Collection

2010 ASEE Zone 1 Conference

Authors

Jeanine Lee Skorinko; Jennifer Lay; Grant McDonald; Brad Miller; Colleen Shaver; Cindy Randall; James Kevin Doyle; Michael A. Gennert; Gretar Tryggvason; James Van de Ven

. Larson, R. W., (2000). Toward a psychology of positive youth development. American Psychologist, 55, 170-18.6. Small, S., & Memmo, M. (2004). Contemporary models of youth development and problem prevention: Toward an integration of terms, concepts, and models. Family Relations, 53, 3-11.7. Harter, S. (1990). Self and identity development. At the threshold: The developing adolescent. In S. Shirley Feldman & Glen R. Elliott (Eds). At the threshold: The developing adolescent. (pp. 352-387). Cambridge, MA, US: Harvard University Press.8. Chartrand, T. L. & Bargh, J. A. (1996). Automatic activation of impression formation and memorization goals: nonconscious goal priming reproduces effects of

Collection

2010 ASEE Zone 1 Conference

Authors

Onesmo Ogore; Kushal Sherpa; Caleb Baron; Mansour Zenouzi; Shankar Krishnan

dialyzer (II) and delivered to the patient’svenous system via the use of tubes (VI & S) after being monitored for air bubbles, 2it is also at this stage that venous pressure is monitored. During this process theblood has to be kept at body temperature using a thermo management system.This cycle usually takes 2 to 4 hours and is done about 3 times a week. Thefrequency depends upon the severity of CKD. [3] Venous Blood [VI] S Filtered Blood from Dialyzer

Collection

2014 ASEE Zone 1 Conference

Authors

Carli D. Flynn; Cliff I. Davidson; Sharon Dotger

(A), and the horizontal distance of the flowfundamental principles of first order calculus and mass flow. (dL). Given:Survey Instrument 2 was administered a second time as a post-intervention survey. Each survey was administered to approximately 90sophomore engineering students enrolled in the course. They Green Roof Water Flow - Consider the followingwere administered within normal class periods, and a 25- variables for the water balance for a green roof: S (depth ofminute time restriction was applied for each survey. Survey water stored on green roof), P (precipitation rate), ETInstrument 1 was administered within the first week of the (evapotranspiration rate), and Qdrain (rate of rainwater

Collection

2011 Northeast Section Meeting

Authors

Frank Caserta; Robert J. Lind; Loutfallah G. Chedid

major is its multidisciplinary nature. 13.2% of the respondents were attracted by thisparticular characteristic. A major which allows students to study a combination of differentdisciplines might also attract these students. The students were split almost evenly with 5.8%wanting an interdisciplinary major, 4.1% not sure which to choose between a mechanical and anelectrical major and 3.3% were interested in both a mechanical and an electrical major. Thisreflects a desire of some students to keep their options open at least until graduate school orbeginning employment. References[1] Beggs, J.M., J.H. Bantham and S. Taylor. 2008. Distinguishing the factors influencingcollege students’ choice of major

Collection

2015 Northeast Section Meeting

Authors

Moses Tefe; Tara Kulkarni

Engineering Education, 2015 2015 ASEE Northeast Section ConferenceThis paper examines some of the programs that exist for engineering professors, and are aimed ataddressing the challenges that are faced by faculty, particularly in the small institutions whosefocus on teaching is different from the large research institutions that provide the doctoraltraining. 2. The nature of graduate studiesGraduate school provides opportunity for students to pursue master’ s degrees and doctoraldegrees. While masters degrees often provide students an opportunity to gain expertise in aspecialized field and return to professional practice, a few students continue to earn doctoraldegrees. Some of the doctoral students also end up working