Conference Session

Software and Web-based Learning in ECE

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mohamed Tawfik, Spanish University for Distance Education (UNED); Elio Sancristobal, uned; Sergio Martin, UNED - Spanish University for Distance Education; Rosario Gil, Spanish University for Distance Education (UNED); Alberto Pesquera, UNED; SANTIAGO MONTESO FERNANDEZ, UNED; Félix García Loro, Predoctoral fellow; Maria José Albert Gomez, UNED; GABRIEL DIAZ ORUETA, UNED; Nevena Mileva, Plovdiv University "Paisii Hilendarski"; Mihail Milev; juan peire; Manuel Castro, Universidad Nacional de Educacion a Distancia

Tagged Divisions

Electrical and Computer

, he is collaborating in a research project of Open services integration for distributed, reusable and secure remote and virtual laboratories (s-Labs). Page 23.1274.1Prof. SANTIAGO MONTESO FERNANDEZ, UNEDMr. F´elix Garc´ıa Loro, Predoctoral fellow c American Society for Engineering Education, 2013 Paper ID #6854 Industrial Engineering degree from the Spanish University for Distance Education (UNED). Assistant teacher in Wind Energy Expert Course (Continuing Education, UNED). Managing AVIP

Conference Session

First-Year Programs Division (FPD) Technical Session 13: Equity in Action - Identity, Mentorship, and Inclusion

Collection

2025 ASEE Annual Conference & Exposition

Authors

Varun K Kasaraneni, Gannon University; Lin Zhao, Gannon University; Longfei Zhou, Gannon University; Xiaoxu Ji, Gannon University

Tagged Divisions

First-Year Programs Division (FPD)

: A survey. Heliyon, 4(11).6. Kaveh, A. (2024). Applications of artificial neural networks and machine learning in civil engineering. Studies in computational intelligence, 1168, 472.7. Wu, B., Xu, J., Zhang, Y., Liu, B., Gong, Y., & Huang, J. (2024). Integration of computer networks and artificial neural networks for an AI-based network operator. arXiv preprint arXiv:2407.01541.8. Fanni, S. C., Febi, M., Aghakhanyan, G., & Neri, E. (2023). Natural language processing. In Introduction to Artificial Intelligence (pp. 87-99). Cham: Springer International Publishing.9. Khan, A. A., Laghari, A. A., & Awan, S. A. (2021). Machine learning in computer vision: a review. EAI Endorsed Transactions on Scalable Information

Collection

2025 ASEE -GSW Annual Conference

Authors

Shadi Balawi, Texas A&M University

Baseline and Study Group. Summary and ConclusionsShort class interventions do not consume a lot of class time but their impact on student learningoutcome in the Materials and Manufacturing Selection in Design course were measured and showeda statistically significant improvement with more than 95% confidence. Students’ engagement with ahands-on experience helped students understand hard concepts of cold working, annealing,temperature, and time and their impact on the physical material behavior. References1. Balawi, S., and Pharr, M. (2024, March), Experiential Learning Utilizing Class and Lab Demos in a Material Science and Manufacturing Course Paper

Collection

2008 Northeast Section Meeting

Authors

Wei Cao; Yanqing Gao; Jason Robert Mace

different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between

Conference Session

Student Papers

Collection

2025 ASEE Southeast Conference

Authors

Maya Al Shanti, Embry-Riddle Aeronautical University - Daytona Beach; Thiha Myat Thu, Embry-Riddle Aeronautical University - Daytona Beach; Kai Jun Chew, Embry-Riddle Aeronautical University - Daytona Beach

Tagged Topics

Diversity, Student Papers

method, even if the answer was incorrect, which indicates a strongemphasis on students’ ability to grasp and apply concepts:“If you show me the process that youhave done, and you do the right process and doing the problem. I will give you 90% of the creditirregardless of if you get the right answer or not.” Additionally, ID1’s grading system wasflexible, allowing for student redemption. According to ID1, poor performance on an initial testcould be offset by improvement on subsequent assessments. This flexibility might encouragecontinuous learning, as students were not penalized heavily for early mistakes and instead aregiven the opportunity to demonstrate growth over the course of the semester: “I make the courseso that hey, you flunk the first

Collection

2008 ASEE Zone 1 Conference

Authors

Wei Cao; Yanqing Gao; Jason Robert Mace

different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah Rodriguez, Virginia Polytechnic Institute and State University; Paul Charles Bigby Jr., Virginia Polytechnic Institute and State University; Antarjot Kaur, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity, NSF Grantees Poster Session

withstudents’ social identities to create barriers to computing identity development using Lunn etal.’s (2021) computing identity framework. This work uncovered how unclear expectations inrelation to scheduling, financial obligations, and pre-requisite knowledge inhibited identitydevelopment, especially for post-traditionally aged and low-income students. The combinedfindings in this most recent work, which include all research participants since the beginning ofthe project, highlight the need for intentional HSCC servingness and consideration of thevarious social identities (i.e. Latine, men of color, working full time, low income, posttraditionally aged). These student characteristics are more frequently found in communitycollege students than they

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Angela Minichiello, Utah State University; Hannah Wilkinson, Utah State University; Samuel Shaw, Utah State University; Allison Miles, Utah State University

Tagged Topics

Diversity, NSF Grantees Poster Session

-veterans.html[3]. “VA College Toolkit, ‘Characteristics of Student Veterans.’ [Online].” Accessed: Feb. 07,2024. [Online]. Available: https://www.mentalhealth.va.gov/student-veteran/learn-about-student-veterans.asp[4]. B. G. Crawford and J. B. Burke, “Student Veterans: Tapping into a Valuable Resource,” inASEE Annual Conference and Exposition, New Orleans, LA: American Society of EngineeringEducation, Jun. 2016.[6] E. S. Abes, S. R. Jones, and M. K. McEwen, “Reconceptualizing the Model of MultipleDimensions of Identity: The Role of Meaning-Making Capacity in the Construction of MultipleIdentities,” J. Coll. Stud. Dev., vol. 48, no. 1, pp. 1–22, 2007, doi: 10.1353/csd.2007.0000.[7] J. P. Gee, “Identity as an Analytic Lens for Research in Education,” Rev

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tracie Ferreira, University of Massachusetts Dartmouth; Shakhnoza Kayumova, University of Massachusetts Dartmouth

Tagged Topics

Diversity, NSF Grantees Poster Session

. Kayumova is a recent recipient of the National Science Foundation’s Early Career award. Shakhnoza’s work appears in journals such as Anthropology & Education Quarterly, Educational Philosophy and Theory, Democracy and Education, and Journal of Research in Science Teaching (JRST). ©American Society for Engineering Education, 2025 NSF S-STEM AccEL: SCHOLARSHIPS TO ACCELERATE ENGINEERING LEADERSHIP AND IDENTITY IN GRADUATE STUDENTSIntroductionThis paper presents the outcomes of the second year of the Accelerated Engineering Leadership(AccEL) program. The inception of the AccEL program responds to projections by the U.S. Bureauof Labor Statistics (BLS) indicating a

Conference Session

Advancing Robotics Education: Frameworks, Platforms, and Teacher Preparation for K-12 Engagement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eric Bredder, University of Virginia; Sarah Catherine Lilly, University of Virginia; Kimberly Wilkens, University of Virginia; Camilo Vieira, Fundacion Universidad del Norte

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

enablecommunication between engineers and educational stakeholders who use these technologies with students. This framework will then support the transition of designing affordable robotics technology fromresearch to practice in K-12 education.References: Pedre, S., Nitsche, M., Pessagc, F., Caccavelli, J., & De Cristóforis, P. (2014). Design of a multi-purpose low-cost mobile robotAhmed, H., & La, H. M. (2019, March). Education-robotics symbiosis: An evaluation of challenges and proposed for research and education. In Advances in Autonomous Robotics Systems: 15th Annual Conference, TAROS 2014

Conference Session

Materials Division (MATS) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Joel L Galos, California Polytechnic State University, San Luis Obispo; Mohsen Beyramali Kivy, California Polytechnic State University, San Luis Obispo; Lessa Grunenfelder, University of Southern California; Ken-ichi Nomura, University of Southern California; James E. Saal, Citrine Informatics, Inc.

Tagged Divisions

Materials Division (MATS)

learning module in a Jupyter Notebook showing interactive links, editable python code and data visualization [30]. Figure 5: Visualization of material property predictions from an ML model [31]. Table 2: Published examples of computer-science-driven approaches to teaching AI/ML topics. Programming Computer Science and/or AI/ML Language, MS&E Topic Ref. (s) Topics Library, and EnvironmentPlotting, curve fitting, functions and Python, Materials characterization [30

Conference Session

Outreach and Beyond in the Chemical Engineering Classroom

Collection

2019 ASEE Annual Conference & Exposition

Authors

Byron Hempel, University of Arizona; Paul Blowers, University of Arizona; Kasi M. Kiehlbaugh, University of Arizona

Tagged Topics

Diversity

Tagged Divisions

Chemical Engineering

Conference Session

ERM: Design!

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mohamed Jalal, University of Ottawa; Hanan Anis, University of Ottawa

being a potential transformative path to developing interest in engineering (S. Jordan& Lande, 2013) (Martin, 2015) as it provides for practical opportunities for the public to applyengineering principles in everyday life (Browder, Aldrich, & Bradley, 2017; Kohler, 2015),increases knowledge of production processes, and reduces the barriers of entry to markets(Hagel, Brown, & Kulasooriya, 2014).Making as a pedagogical approach provides unique opportunities for educators to incorporatepedagogies that places the student at the center of the learning process such as project and 2problem based learning (Vossoughi, Hooper, & Escudé, 2016

Conference Session

Reflective & Critical Pedagogies

Collection

2015 ASEE Annual Conference & Exposition

Authors

Katarina Larsen, KTH - Royal Institute of Technology; Johan Gustav Gärdebo, KTH Royal Institute of Technology

Tagged Divisions

Liberal Education/Engineering & Society

and developing arguments in writing. Thisstudy draws on experiences from changing a course previously relying onmandatory attendance towards challenging and encouraging the students‟contribution to each other‟s learning. Page 26.1586.21. Introduction: Tools For TransformationImagine coming into a classroom, an auditorium housing 150 students. After settingup your computer and PowerPoint-presentation, the bustle quiets down and you beginby welcoming the crowd to your country and university. Though they come from allover the world,from different societies, cultures and schooling, thestudents have twothings in common: all of them are engineering students, and; none of

Conference Session

MIND - Poster Session

Collection

2007 Annual Conference & Exposition

Authors

Ibironke Lawal, Virginia Commonwealth University

Tagged Divisions

Minorities in Engineering

are truly underrepresented, what efforts are being made to correct the phenomenon? Dowomen in science and engineering reach the top in their fields? If not, why? For the purpose ofthis paper, women in academia and in the industry will be the focus.I. IntroductionThe statistics of education show that women outnumber men in college enrollment. Womenrepresents sixty percent of the undergraduate population and in 2001-2002, women earned moredoctorates in the United States than men. However, women are underrepresented in science andengineering (S&E) fields. Science and engineering education in the United States has a genderedhistory. In a study for the National Science Foundation, Jon Miller1found that while 9 percent ofadult men are

Collection

2014 ASEE Zone 1 Conference

Authors

Isaac George Macwan; Zihe Zhao Omar Sobh; Prabir Patra

become important [31], the flagella bundles (FB) (about 12 – 20 nm in diameter)because of the limitations such as the scattering of the EUV of MTB (magnetotactic bacteria) are able to produce a torque(Extreme Ultra-violet) light resulting in precision issues, need of approximately 4pN thereby displacing the cell giving it speeds ranging from 30 to 200μm/s depending on type of species and the number of magnetosomes. Our preliminary results indicate that AMB-1

Conference Session

Undergraduate College Industry Partnerships

Collection

2025 ASEE Annual Conference & Exposition

Authors

Craig M. Spears, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

College Industry Partnerships Division (CIP)

Method and sample Socialization mechanism(s) OC | DP | M | CP | CLBielefeldt & Canney, 2019 [30] Mixed-method, 465, ENGR ⬛  ⬜ ⬜  ⬜  ⬜ Buse & Bilimoria, 2014 [20] Mixed-method, 495, ENGR, Women ⬛  ⬛  ⬜  ⬛  ⬛ K. Buse et al., 2013 [35] Qualitative, 31, ENGR, Women ⬛  ⬜  ⬜  ⬛  ⬛Cardador, 2017 [17] Qualitative, 61, ENGR ⬛  ⬛  ⬜  ⬜  ⬛Cardador & Hill, 2018 [27

Conference Session

Multidisciplinary Engineering Division (MULTI) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Cristiane Maria Barra Da Matta, Instituto Mauá de Tecnologia; Daniel Kashiwamura Scheffer, Instituto Mauá de Tecnologia; Susana Marraccini Giampietri Lebrão; Maria do Carmo Fernandes-Martins, Universidade Metodista de São Paulo; Fernando Silveira Madani, Instituto Mauá de Tecnologia

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

Paper ID #38028Board 145: Possible Relations between Self-Efficacy, SociodemographicCharacteristics, Dropout and Performance of Freshman Students inEngineering CoursesDr. Cristiane Maria Barra Da Matta, Instituto Mau´a de Tecnologia Master’s degree in Food Engineering at the Instituto Mau´a de Tecnologia and PhD in Psychology at the Universidade Metodista de S˜ao Paulo (2019). Assistant professor and coordinator of the Student Support Program (since 2007) at Instituto Mau´a de Tecnologia. It investigates themes of School and Educational Psychology: academic experiences, self-efficacy, school performance and dropout in

Conference Session

Sociotechnical Thinking: Who, Why, and How?

Collection

2023 ASEE Annual Conference & Exposition

Authors

Benjamin David Lutz, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

modern challenges.References[1] K. Johnson, J. Leydens, B. Moskal, and S. Kianbakht, “Gear switching: From ‘technical vs. social’ to ‘sociotechnical’ in an introductory control systems course,” in 2016 American Control Conference (ACC), 2016, pp. 6640–6645.[2] K. Johnson et al., “The Development of Sociotechnical Thinking in Engineering Undergraduates,” in 2022 ASEE Annual Conference & Exposition, 2022.[3] B. Friedman and D. G. Hendry, Value sensitive design: Shaping technology with moral imagination. MIT Press, 2019.[4] S. Costanza-Chock, Design justice: Community-led practices to build the worlds we need. The MIT Press, 2020

Conference Session

LEES 4: Understanding and Disrupting Engineering Cultures

Collection

2022 ASEE Annual Conference & Exposition

Authors

Taiylor Rayford, University of Illinois at Urbana - Champaign; Nidia Ruedas-Gracia, University of Illinois at Urbana - Champaign; Molly Goldstein, University of Illinois at Urbana - Champaign; Corey Schimpf, University at Buffalo, The State University of New York; Lara Hebert, University of Illinois at Urbana - Champaign; Lorena Escamilla, University of Illinois at Urbana - Champaign; Jesus Zavala, University of Illinois at Urbana - Champaign

andaffirming for students with underrepresented identities who struggle to develop a sense ofbelonging to STEM. Taken together, near-peer mentoring could be a great approach toenhancing the education of undergraduate students in engineering.Future WorkFuture work will involve continuing the current work of near-peer mentors. Additional data frommore near-peers mentors will be collected and analyzed to develop significant findings on thebenefits of near-peer mentoring. Future studies will continue to investigate possibledisadvantages of mentoring and understand the typical qualities of mentors that make a goodmentor.References[1] C. Bulte, A. Betts, K. Garner, and S. Durning, “Student teaching: views of student near-peer teachers and learners

Conference Session

Student Division Technical 4: Student Experience & Competencies

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hamidreza Taimoory, Virginia Polytechnic Institute and State University; David Knight, Virginia Polytechnic Institute and State University; Walter Lee, Virginia Polytechnic Institute and State University

-9830.1998.tb00381.x.[4] C. M. Vogt, “Faculty as a Critical Juncture in Student Retention and Performance in Engineering Programs,” J. Eng. Educ., vol. 97, no. 1, pp. 27–36, Jan. 2008, doi: 10.1002/j.2168-9830.2008.tb00951.x.[5] X. Wang, “Why Students Choose STEM Majors,” Am. Educ. Res. J., vol. 50, no. 5, pp. 1081–1121, Oct. 2013, doi: 10.3102/0002831213488622.[6] N. F. Harun, K. M. Yusof, M. Z. Jamaludin, and S. A. H. S. Hassan, “Motivation in Problem-based Learning Implementation,” Procedia - Soc. Behav. Sci., vol. 56, pp. 233– 242, Oct. 2012, doi: 10.1016/j.sbspro.2012.09.650.[7] S. M. Malcom, “The Human Face of Engineering,” J. Eng. Educ., vol. 97, no. 3, pp. 237– 238, Jul. 2008, doi: 10.1002/j.2168

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sarah LaRose; Robert Merton Stwalley III P.E., Purdue University, West Lafayette

Tagged Topics

Diversity, NSF Grantees Poster Session

selection that utilized a measurement of a student’s adult mentor supportnetwork, reasoning that if the student had adequate circle of adult backers, then they were morethan likely to persevere and successfully complete higher education. The researchers earned an NSF S-STEM grant in 2016 to study the effects of mentornetwork connectedness on collegiate STEM field persistence. Students from low SESbackgrounds who had expressed an interest in STEM majors and were given admission intoexploratory studies were selected as the target pool of participants. These students have becomeknown colloquially as ‘Rising Scholars’ (RS) [7] [8]. Twenty-one admitted students wereselected through a process designed to quantize and measure the quality of a

Conference Session

Virtual and Augmented Reality Applications in Manufacturing Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sajan Saini, Massachusetts Institute of Technology; Erik Verlage; Anuradha Murthy Agarwal; Drew Michael Weninger; Samuel Serna Otalvaro; Saif Rayyan; Glenda Simonton Stump, Massachusetts Institute of Technology; Trevor Morrisey, Massachusetts Institute of Technology; Christian Gabbianelli, Massachusetts Institute of Technology; Ira Fay, Massachusetts Institute of Technology; Caitlin Feeley, Massachusetts Institute of Technology; Jeff Bertrand; Bhargav Vipul Upadhyay; Achint Jain; Richard Eberhardt, Massachusetts Institute of Technology; Alan R. Kost, University of Arizona; John Ballato, Clemson University; Kapil Chalil Madathil, Clemson University; Sri Priya Sundararajan; Kenan Cicek; Dominic Gastaldo; Judith Perry, Massachusetts Institute of Technology; Eric Klopfer; Randolph E. Kirchain Jr., Massachusetts Institute of Technology; Richard Roth, Massachusetts Institute of Technology; Frank R. Field III, Massachusetts Institute of Technology; Elizabeth Moore, Massachusetts Institute of Technology; George Westerman, Massachusetts Institute of Technology; Lionel C. Kimerling, Massachusetts Institute of Technology

Tagged Divisions

Manufacturing Division (MFG)

learning, due to the rapid convergence of extant computing, chemical, wireless, andimaging industries towards PIC-enabled new functionalities. This convergence mandates a rapidlearning of PIC functions and automation design, by engineers who historically have trained inadjacent disciplines. The constellation of VR and GBL designed sims are intended, via a MOOCinterface, to rapidly acclimate these more veteran learners from the incumbent workforce, andprepare them for taking advanced PIC circuit design courses[27], overseen by some of thecollaborators on an advanced manufacturing workforce training MOOC platform[11].References[1] R. Kirchain, E.A. Moore, F.R. Field, S. Saini and G. Westerman, Preparing the AdvancedManufacturing Workforce: A Study

Conference Session

Pre-College Engineering Education Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Foad Hamidi, University of Maryland Baltimore County; Andrew Coy, Digital Harbor Foundation; Amy L. Freeland, University of Maryland Baltimore County

Tagged Divisions

Pre-College Engineering Education

. Age ID Gender Role/Length of Experience/Training Site Range A1 50’s Female Library Media Specialist/17 years/Library Science Site 1 50s Female Engineering Teacher/12 years/Electronics, System Site 1 E1 Engineering, Education 30s Male Math, Engineering, CS Teacher/13 years/Math, Site 1 E2 Teaching, CS 40’s Male Math Teacher/3 years/Linguistic, English and Site 1 E3 Math 30s Female Director of Workforce Development and Social Site 2 A2 Enterprise/11 years/Visual

Conference Session

Technology in the Physics or Engineering Physics C

Collection

2008 Annual Conference & Exposition

Authors

Nataliia Perova, Tufts University; Walter H. Johnson, Suffolk University; Chris Rogers, Tufts University

Tagged Divisions

Engineering Physics & Physics

- questionnaires.TABLE 1: Multiple–choice results collected from questionnaires given before theworkshop. The results indicate the percent value for each answer.1. A car is moving along a horizontal highway in astraight line at a constant rate of 25 m/s. Itsacceleration is 47 [A][A] 9.8 m/s2 0 [B][B] 9.8 m/s. 41 [C] – correct answer[C] zero. 12 [D][D] 25 m/s.2. A ball is thrown straight upward. What is theacceleration of the ball at the highest point?[A] zero 53 [A][B] 9.8 m/s2 , upward 12 [B][C] 9.8 m/s2, downward

Conference Session

Instructional Methods and Tools in BME

Collection

2008 Annual Conference & Exposition

Authors

Robert Roselli, Vanderbilt University; Stephen B. Gilbert, Clearsighted, Inc.; Stephen B. Blessing, University of Tampa; Larry Howard, Vanderbilt University; Aditya Raut, Vanderbilt University; Puvi Pandian, Iowa State University

Tagged Divisions

Biomedical

-basedapplication. Using Clearsighted, Inc.’s tools, an ITS was constructed that required nomodification to the original authoring tool. The resulting ITS provides immediate feedback in atutorial setting, offering help when requested and adaptive just-in-time messages, as well asnoting incorrect actions. All of this feedback, from the user’s point of view, seemingly comesfrom the authoring tool. A series of tutorials have been developed that will provide guidance tonew users as they develop online homework assignments. Evaluation of the system is done bycomparing authoring tasks performed by groups who learned to author without using theintegrated system to groups performing the same tasks with the ITS.IntroductionMost activities related to engineering

Conference Session

Potpourri II

Collection

2008 Annual Conference & Exposition

Authors

Caroline Hayes, University of Minnesota

Tagged Divisions

Women in Engineering

students and faculty in a variety ofscience and engineering fields. The paper focuses on engineering at colleges and universitiesbecause of the role which these institutions have in inspiring both women and men to chooseengineering as a field, and their potential to change the composition and size of the futureworkforce. Findings include that for fields dominated by men in the 1960s 1) those fields withthe highest (or lowest) proportions of women students in the 60’s still have the highest (orlowest) proportions of women students today, and 2) the proportion of women students is highlycorrelated with the proportion of women faculty in a field. This may suggest that increasing thenumber of women faculty may be a strategy for more rapidly attracting

Conference Session

Educating for Results: Tools used in Engineering Technology

Collection

2008 Annual Conference & Exposition

Authors

Recayi 'Reg' Pecen; Ayhan Zora; Faruk Yildiz, University of Northern Iowa

Tagged Divisions

Engineering Technology

StudyFigure 1 depicts a schematic of the simulated system. An object with mass, m, is locatedon a flat surface. One edge of the surface is lifted up to form an angle, α, with the ground.The static friction coefficient, µ s, is given. The purpose of this test is to determine theangle of inclination when the object starts the motion by using a digital simulation tool. m = 100 kg µ s = 0.6 Fw = mg α Figure 1. Object on inclined surfaceLMS.Imagine.Lab 7b is used to simulate the system6. In the mechanical library thereexists a component called “linear mass with 2 ports and friction”. The user

Conference Session

Emerging Trends in Engineering Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Robert Balmer, Union College; Lance Spallholz, Union College

. Jargon Thermodynamic Meaning Term Adiabatic No heat transfer, Q = 0 Aergonic No work transport,iii W = 0 Isothermal Constant temperature, T = constant Isochoric Constant volume, V = constant Isobaric Constant pressure, p = constant Isenthalpic Constant enthalpy, h = constant Isentropic Constant entropy, s = constant Polytropic Many processes, or pvk = constant Enthalpy Internal energy plus the pressure

Conference Session

Instrumentation Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Vivek Pillarisetty P.E., Purdue University Northwest; Akram Hossain, Purdue University Northwest

Tagged Topics

Diversity

Tagged Divisions

Instrumentation

applied on a mass, M it accelerates and a displacement, x takes place tothe mass. Based on the Alembert’s principle a differential equation can be written for spring, massand damper as: Rigid surface +X X ( s) 1 -X  (1) F(t) F ( s) Ms  Ds  K 2 Rigid surface Figure 2. Mass-Damping-Spring setup