Collection

2023 ASEE GSW

Authors

Po En Su Wei-Jen Lee; Irma De Leon; Jude Soweh

Information Administration(a) (2022). Energy and the Environment. https://www.eia.gov/energyexplained/energy-and-the-environment/.4. United States Energy Information Administration(b) (Nov.23, 2022). Electricity Explained. Retrieved from https://www.eia.gov/energyexplained/electricity/use-of-electricity.php5. Fasching, E. (2022). Use of energy explained. Retrieved from https://www.eia.gov/energyexplained/use-of- energy/homes.php6. Zhang, Z., Huang,Y., Huang Q., and Lee,W. -J. "A Novel Hierarchical Demand Response Strategy for Residential Microgrid with Time-Varying Price," 2020 IEEE Industry Applications Society Annual Meeting, 2020, pp. 1-8, doi: 10.1109/IAS44978.2020.9334895.7. Zhang, Z., Chen Z., and Lee, W. -J (2922

Collection

2023 ASEE GSW

Authors

Emad Manla; Roy Issa; Kenneth Leitch

- tracking,” Renewable Energy, 29, 393–402, 2004.14. Away, Y., and Ikhsan, M., “Dual-axis sun tracker sensor based on tetrahedron geometry,” Automation in Construction, 2016.15. Abdallah, S., and Nijmeh, S., “Two axes solar tracking system with PLC control,” Energy Conversion and Management, 45 (11–12), 1931–1939, 2004.16. Sun, A.J., Wang, R., Hong, H., and Liu, Q., “An optimized tracking strategy for small-scale double axis parabolic trough collector,” Applied Thermal Engineering, 2016.17. https://www.larsonelectronics.com/Emad ManlaDr. Manla currently serves as an Assistant Professor of Electrical Engineering at West Texas A&M University. Hisresearch interests include Renewable Energy Systems, Power Electronics, Electric

Collection

2024 ASEE PSW Conference

Authors

Umut Can Cabuk, San Diego State University; Yusuf Ozturk, San Diego State University

prediction of students’ academic failure in introductory programming courses. Computers in Human Behavior, 73:247–256, 2017. ISSN 0747-5632. doi: https://doi.org/10.1016/j.chb.2017.01.047. URL https://www.sciencedirect.com/science/article/pii/S0747563217300596. [9] Muhammad Adnan, Asad Habib, Jawad Ashraf, Shafaq Mussadiq, Arsalan Ali Raza, Muhammad Abid, Maryam Bashir, and Sana Ullah Khan. Predicting at-risk students at different percentages of course length for early intervention using machine learning models. Ieee Access, 9:7519–7539, 2021.[10] Kilian Q Weinberger, John Blitzer, and Lawrence Saul. Distance metric learning for large margin nearest neighbor classification. Advances in neural information processing systems

Collection

2024 ASEE PSW Conference

Authors

Christine E King, University of California, Irvine; Matthew Lo, University of California, Irvine; Milan Das, University of California, Irvine; Dalton Salvo, University of California, Irvine

ClinicalImmersion Program for Broad Curricular Impact," in 2019 ASEE Annual Conference &Exposition, June 15, 2019, Tampa, Florida. [Online]. Available: ASEE PEER, Doi: 10.18260/1-2—33581.[10] C. E. King and D. Salvo, "Work in Progress: Development of virtual reality platform forunmet clinical needs finding in undergraduate biomedical engineering design programs," in 2022ASEE Annual Conference & Exposition, June 26, Minneapolis, MN, 2022.[11] C. E. King, K. R. Feeney, Q. Tang, M. Das, and D. Salvo, "Work in Progress: PhysiologicalAssessment of Learning in a Virtual Reality Clinical Immersion Environment," in 2023 ASEEAnnual Conference & Exposition, June 25, 2023, Baltimore, MD, 2023.[12] C. E. King, C. M. Hoo, W. C. Tang, and M. Khine

Conference Session

Track 8: Technical Session 1: Logic Models: How this tool can help you make the case for your DEI programs

Collection

2024 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Elizabeth Litzler, University of Washington; Erin Carll, University of Washington; Emily Knaphus-Soran, University of Washington

Tagged Topics

CoNECD Paper Sessions, Diversity

from the University of Washington Center for Evaluation & Research for STEMEquity (CERSE, pronounced like the words “SIR”-”see”). We are here with CERSE Director Dr.Liz Litzler, Associate Director Dr. Erin Carll, and thank our collaborator Senior ResearchScientist Dr. Emily Knaphus-Soran who is not able to be here today.40 minutes totalSlide 1-5: 4 minutesSlide 6: (Audience Engagement) 5 minutesSlides 7-11: 4 minutesSlide 12: (Audience Engagement) 5 minutesSlide 13-14: (Audience Engagement) 10 minutes DIYSlide 15: Takeaways – 1-2 minutesSlide 16: 10 minutes final Q&A 1 Topics for Today Why use logic models? What are the components of a

Collection

2024 South East Section Meeting

Authors

Mourya Teja Kunuku, Kennesaw state university; Nasrin Dehbozorgi, Kennesaw State University

Tagged Topics

Diversity

and Audio Signal Processing. Wiley, 2000.[5] E. Petajan, “Automatic lipreading to enhance speech recognition,” in IEEE Conference on Communications, 1984.[6] J. Smith and M. Johnson, “Visual speech recognition in education: Opportunities and challenges,” Journal of Educational Technology & Society, vol. 13, no. 3, pp. 45–59, 2010.[7] G. Hinton et al., “Deep neural networks for acoustic modeling in speech recognition,” IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 82–97, 2012.[8] W. Chan, N. Jaitly, Q. Le, and O. Vinyals, “Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,” in Proceedings of the IEEE Conference on Acoustic Speech and Signal Processing, 2016.[9] J. S

Collection

2024 South East Section Meeting

Authors

Showkat J. Chowdhury, Alabama A&M University; Xiang Zhao, Alabama A&M University; Tamara Chowdhury, Alabama A&M University

Tagged Topics

Diversity

students is only 32%.The program tried to contact the students after graduation and 38 students responded. Out ofthese 38 scholarship recipient students graduated, all of them are Employed in their professionalfield or entered Graduate school upon graduation, 100% success.3.4. Analysis of Student SurveyThe students’ self-evaluation or assessment can be taken as another instrument to measure theeffect of the scholarships and academic supports provided through this NSF grant on the studentsuccess, retention, and graduation. For this reason, a student survey was conducted among 33NSF scholarship recipient students, and a partial list of survey questions are shown in Table 3.Table 3. Partial list of Questionnaire from Student Survey. Q# Student

Collection

2023 PSW

Authors

Farbod Khoshnoud; Marco Quadrelli; Enrique Galvez; Clarence de Silva; Shayan Javaherian; Behnam Bahr; Maziar Ghazinejad; Anas Salah Eddin; Mohamed El-Hadedy P.E.

. O'Brien, “Low size, weight and power quantum key distribution system for small form unmanned aerial vehicles,” Proc. SPIE 10910, Free-Space Laser Communications XXXI, 1091014, March 2019.[9] W. Miller, A. DeCesare, R. Snyder, D. Carvalho, P. M. Alsing, D. Ahn, (2020). Toward mobile free space optical QKD: characterization of a polarization-based receiver, Proceedings of the SPIE, Volume 11391, id. 1139105 10 pp., 2020.[10] H.-Y. Liu, X.-H. Tian, C. Gu, P. Fan, X. Ni, R. Yang, J.-N. Zhang, M. Hu, J. Guo, X. Cao, X. Hu, G. Zhao, Y.-Q. Lu, Y.-X. Gong, Z. Xie, and S.-N. Zhu, “Optical-Relayed Entanglement Distribution Using Drones as Mobile Nodes,” Physical Review Letters, 126, 020503, 2021.[11] F. Khoshnoud, L. Lamata, C. W

Conference Session

Innovative Use of Technology and the Internet in Engineering Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Erin Shaw, University of Southern California; Jihie Kim, University of Southern California; Jaebong Yoo, Samsung Electronics

Tagged Divisions

Educational Research and Methods

. 23% 10I enjoy discussing course ideas online. 26% 11I receive credit (or a bonus) for participating in discussion. 5% 2Table 4. Mediating factors that inhibit participation.Q2 Which of the following factors influence your decision NOT TO USE (TO IGNORE) thediscussion board? (I.e., which of these factors dissuade you from participating. Statements mayrefer to posting questions or replies.)Question Response Item % Responding N RespondingReading other students' Q&A postings is enough. 30% 13I do well in class and have no questions. 5% 2I

Conference Session

College Industry Partnerships Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Andrew E. Jackson, East Carolina University; Sherion H. Jackson, Grand Canyon Univeristy

Tagged Divisions

College Industry Partnerships

partners. Metropolitan Universities Journal; 20(2), 87-103. http://scholar.google.com/scholar?q=Why+Faculty+Promotion+and+Tenure+Matters+to+Community+Part ners&hl=en&btnG=Search&as_sdt=1%2C10&as_sdtp=on4. Gappa, J. M., Austin, A. E., & Trice, A. G. (2007). Rethinking faculty work: Higher education’s strategic imperative. San Francisco, CA: Jossey-Bass.5. Glass, C. R., Doberneck, D. M., & Schweitzer, J. H. (2011, March). Unpacking faculty engagement: The types of activities faculty members report as publicly engaged scholarship during promotion and tenure. Journal of Higher Education Outreach and Engagement, 15(1), 7-31

Conference Session

Multidisciplinary Programs and Curricula

Collection

2014 ASEE Annual Conference & Exposition

Authors

Marla Constanza Barrera Botero, Universidad Nacional de Colombia; Oscar G. Duarte, Universidad Nacional de Colombia; Carolina Sarmiento, Universidad Nacional de Colombia; Rene Alexander Soto Perez, Universidad Nacional de Colombia; Angélica Rosmery Ghisays, universidad nacional de Colombia

Tagged Divisions

Multidisciplinary Engineering

we can obtain the grade of membership of a set in regard toanother set; in our case, the grade of membership of an individual profile with respect to an ideal Page 24.1009.8profile. We assimilate those grades as truth values that are in the interval [0,1]. Relationships arerepresented through rules “if ... then”; thus, truth values can be calculated with some T-normsor S-norms, as these kind of relationships (p → q) can be represented in terms of ∧ and ∨,respectively.13In this work, we use some fuzzy implications in order to find the values of the compliance levelof a common node from both trees, individual profile and ideal profile. This

Conference Session

Curriculum & Student Enrollment I

Collection

2014 ASEE Annual Conference & Exposition

Authors

Veto Matthew Ray, Indiana University Purdue University, Indianapolis; J. William White, Indiana University Purdue University, Indianapolis; Dan D. Koo, Indiana University Purdue University, Indianapolis

Tagged Divisions

Engineering Technology

&q=&esrc=s&source=web&cd=1&ved=0CDkQFjAA&url=htt p%3A%2F%2Fifap.ed.gov%2Ffsahandbook%2Fattachments%2F0910FSAHbkVol2Ch1School.pdf&e i=ZRnCUt_INYmuyQHu54HACw&usg=AFQjCNG_lqxZvURlglb4- 01XQlI_kydtvA&bvm=bv.58187178,d.aWc 4. IUPUI Institutional Reports. (2013). Retrieved December 28, 2013, from http://reports.iupui.edu/render.aspx/INSTITUTIONAL%20DATA/RSPINC/IUPUI 5. Indiana Commission for Higher Education. (2013). Retrieved December 28, 2013, from http://www.in.gov/che/ 6. Pande, P., Neuman, R., and Cavanagh, R. (2002). The Six Sigma Way: Implementation Guide for Process Improvement Teams. New York, NY: McGraw-Hill  7

Conference Session

Embedded Systems and Mobile Computing

Collection

2014 ASEE Annual Conference & Exposition

Authors

Javad Shakib, DeVry University, Pomona; Mohammad Rafiq Muqri, DeVry University, Pomona

Tagged Divisions

Computing & Information Technology

on the course shell at http://devryu.net7. Daniel Cross-Cole, ‘Construction Notes for Robotic Car’ document, DeVry University, available on the course shell at http://devryu.net8. Embedded Microcomputer Systems – Real Time Interfacing, 3rd ed., Valvano, J. © 2012 Stamford, CT: Cengage Learning9. Totally Autonomous Binary Yaw (TOBY) car, report by Aaron Wright, Arturo Torres and Juan Rodriguez in their project manual, October 201310. The Black Dragon (Line Following Robot), report by Malcolm Q Guidry Submitted in Partial Fulfillment of the Course Requirements for ECET- 365, October 2013 Page 24.1012.11

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Hon Jie Teo, Virginia Tech

Tagged Divisions

Computers in Education

. Network motif analysis is light-weightsolution that is capable of evaluating large amounts of educational data in educational platformsthat cater to the need of many students (such as MOOCs) and rely on the participation of masses(Q&A sites and online communities). The proposed approach will resolve some assessmentchallenges in examining student participation across different bodies of social groups and onlineengineering spaces. In online environments that host thousands of engineering learners, networkmotif analysis will offer descriptive accounts of recurring interaction patterns between novicesand experts, as well as consistent forms of interactions between groups of engineering learnersthat is indicative of sustained participation in

Conference Session

Developing the Design Skillset

Collection

2014 ASEE Annual Conference & Exposition

Authors

Ibrahim Mohedas, University of Michigan; Shanna R. Daly, University of Michigan; Kathleen H. Sienko, University of Michigan

Tagged Divisions

Design in Engineering Education

? Documenting the effect of usability sessions on novice software designers. J Res Comput Educ. 2001;33(3):235 – 250.12. Scott JB. The Practice of Usability: Teaching User Engagement Through Service-Learning. Tech Commun Q. 2008;17(4):381–412.13. Mohedas I, Daly SR, Sienko KH. Characterizing Students’ Use of Design Ethnography in a Capstone Design Course. Int J Eng Educ. 2014. In Press.14. Zoltowski CB, Oakes WC, Cardella ME. Students ’ Ways of Experiencing Human-Centered Design. J Eng Educ. 2012;101(1):28–59. Page 24.1126.915. Creswell J. Research design: Qualitative, quantitative, and mixed methods approaches

Conference Session

Distance Learning in Engineering Technology

Collection

2014 ASEE Annual Conference & Exposition

Authors

Brian A. Alenskis, Purdue University, Richmond, Ind.

Tagged Divisions

Engineering Technology

havebeen on Tuesdays. Those Tuesday slots were converted to “open office hours”, in that theinstructor would be available in the classroom, with OLI access, to answer questions. The OLImodule quizzes (typically two each week) were scheduled to straddle the Tuesday Q&A and theThursday recitation sessions. This provided convenient opportunities every week for thestudents to get answers to their questions shortly after each OLI quiz.The students were required to buy the two textbooks used in previous years. One was atraditional statics textbook; the other was an economical book of distilled concepts and workedproblems. The students had required readings from both books, aligned with each module.Assigned homework problems came from both textbooks

Conference Session

Civil Engineering Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

James L. Hanson PE, California Polytechnic State University

Tagged Divisions

Civil Engineering

aseriousness in listening to the oral presentations beyond what the instructor has seen forconventional term paper oral presentations. The peer review exercise coupled with the highlyinvolved term project provided added technical depth to the course. A higher level of interactionamong students in the classroom was observed as compared to a conventional classroom. Thehigh level of interaction was particularly evident during Q&A session of the oral presentationswhere familiarity with manuscript content was apparent.In addition, the peer review promoted improved student writing skills (and personal reflection ofthese skills) that benefitted students for activities following the class including entering industryworkforce or pursuing graduate education

Conference Session

Chemical Engineering Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Laura P. Ford, University of Tulsa

Tagged Divisions

Chemical Engineering

W = power (kW, 1, 300)Heat Exchangers log10 (purchased cost )  4.6  0.8 log10 A  0.3log10 A2 A = heat exchange area (m2, 20, 1000) Estimate the area based on Q  UAT with U = 5000 W/m2·ºC for a feedwater heater U = 500 W/m2·ºC for the condenser U = 25 W/m2·ºC for the high temperature heat exchangerTurbine  log10 (purchased cost )  2.5  1.45 log10 W  0.17 log10 W2 W = power (kW, 100, 4000)Utility Costs Electricity $0.06/kWh Cooling Water $0.354/GJEquipment Cost FactorsTotal Installed Cost = Purchased

Conference Session

NSF Grantees' Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Amod A. Ogale, Clemson University and Hoowaki LLC; Sarah Kelley Hulseman, Hoowaki LLC; Andrew Hampton Cannon, Hoowaki LLC; Byron S. Villacorta, Clemson University; Ralph Allen Hulseman, Hoowaki LLC

Tagged Topics

NSF Grantees Poster Session

and graduate students through interactions withresearchers from CAEFF researchers (a graduated NSF Engineering Research Center) workingcollaboratively with industrial researchers from Hoowaki LLC, a small-business involved ininnovative research. AcknowledgmentsThis work was primarily supported by National Science Foundation under Award EEC‐1128481and made use of ERC Shared Facilities supported by the National Science Foundation underAward Number EEC-9731680. References1. Zhang, Z-Z.; Xue, Q-J.; Liu, W-M.; Shen, W-C; Friction and Wear Behaviors of Several Polymers Under Oil-Lubricated Conditions. J. Appl. Polym. Sci., 1998, 68, 2175–2182.2. Samyn, P

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Danielle Marie Dowling, Tufts Center for Engineering Education and Outreach; Morgan M Hynes, Arizona State University

Tagged Divisions

Computers in Education

can’t breathe.” 40. Kraig: “Because there’s no air. Why would you need air?” 41. Unidentified student: “To speak.” 42. Unidentified student: “To hear.” 43. Kraig: “Why do you need air to talk?” 44. Q: [Inaudible.] 45. Kraig: “What’s that, Q?” 46. Q: “It transports a voice.” 47. Kraig: “Because it transports a voice. Sure. Okay, how?” 48. Q: “Sounds...” 49. Unidentified student: “Through the air.” 50. Kraig: “Right, sound waves through the air. That’s right.”Additional examples from Kraig’s second class on the day of the Thought Cloud’s rollout—hishonors class—provide further contrast between the instructional approaches he took with

Conference Session

ECE Curriculum Improvement

Collection

2013 ASEE Annual Conference & Exposition

Authors

Cordelia M Brown, Purdue University, West Lafayette; Dimitrios Peroulis, Purdue University; Greg Lammers, Purdue University, West Lafayette

Tagged Divisions

Electrical and Computer

engineering education.Prof. Dimitrios Peroulis, Purdue University Dimitrios Peroulis received his PhD in Electrical Engineering from the University of Michigan at Ann Arbor in 2003. He has been with Purdue University since August 2003 where he is currently leading a group of graduate students on a variety of research projects in the areas of RF MEMS, sensing and power harvesting applications as well as RFID sensors for the health monitoring of sensitive equipment. He has been a PI or a co-PI in numerous projects funded by government agencies and industry in these areas. He has been a key contributor in two DARPA projects at Purdue focusing on 1) very high quality (Q>1,000) RF tunable filters in mobile form factors

Conference Session

Environmental engineering pedagogy and innovation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Alison M Cupples, Michigan State University; Susan J. Masten P.E., Michigan State University; Weimin Sun, Rutgers,The State University of New Jersey

Tagged Divisions

Environmental Engineering

Computer Assisted Learning 20, 81-94 (2004).6. Draper S., Cargill, J. & Cutts, Q. Electronically enhanced classroom interaction. Australian Journal of Education Technology 18, 13-23 (2002).7. Freeman, M., Blayney, P. & Ginss, P. Anonymity and in class learning: the case for electronic response systems. Australian Journal of Education Technology 22, 568-580 (2006).8. Pradhan, A., Sparano, D. & Ananth, C. V. The influence of an audience response system on knowledge retention: An application to resident education. American Journal of Obstetrics and Gynecology 193, 1827-1830 (2005).9. Schackow, T. E., Chavez, M., Loya, L. & Friedman, M. Audience response system: Effect on learning in family medicine

Conference Session

Manufacturing Partnerships

Collection

2013 ASEE Annual Conference & Exposition

Authors

Wendy S. Reffeor, Grand Valley State University; Christopher P. Pung, Grand Valley State University; Sung-Hwan Joo, Grand Valley State University

Tagged Divisions

Manufacturing

suitable to thecourse. However, there were some advantages to using the ASME Student Design Competitionas the project. Some additional motivation was achieved by offering the opportunity to attendthe District Competition. This came at some cost to the professors leading the activity as muchguidance was needed to prepare the students for the competition. Traditionally, a Q&A forum isprovided to the students in this course when they are working on design projects. An advantageof using the ASME Competition is that this forum is provided by ASME given that the problemis not modified to fit the course. Students who attended the District Competition had anetworking opportunity that would not otherwise have occurred.Bibliography[1] P. R. Neal, M. Ho

Collection

2023 ASEE Midwest Section Conference

Authors

Meghann T. Pytka; Tucker Krone

.!,#&!-1/.%&!8'%&4!/*13!%,',&46!$3,&.3'0!-/..$-/0'.!3&&4:!!!"#&%&!'.&\! U:! =,/4&3,%!B$00!'**0(!,&-#3$-'06!&35$3&&.$356!'34!%,',$%,$-'0!%C$00%!,1!-.&',&!%10/,$13%!,1!.&'09 B1.04!*.180&)%!2'-&4!8(!=,:!J1/$%!%,'.,/*%:! O:! =,/4&3,%!B$00!&35'5&!$3!*.12&%%$13'0!-1))/3$-',$13!B$,#!)&)8&.%!12!,#&!01-'0! &3,.&*.&3&/.$'0!&-1%(%,&):! Q:! =,/4&3,%!B$00!21%,&.!8/%$3&%%!.&0',$13%#$*%!'34!8/$04!0'%,$35!-133&-,$13%!B$,#!01-'0! %,'Ch&.%:! ]:! =,/4&3,%!B$00!8&!&E*1%&4!,1!,#&!=,:!J1/$%!&3,.&*.&3&/.$'0!-1))/3$,(!'34!8&!'80&!,1

Conference Session

Technical Sessions 5

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Matthew Fried, SUNY Farmingdale; Mohammad Alshibli

Tagged Topics

Diversity, Professional Papers

Technology, 58(1), 504-509. https://doi.org/10.1002/pra2.487[2] Dai, Y., Chai, C. S., Lin, P., Jong, M. S., Guo, Y., & Jian-jun, Q. (2020). Promoting students’well-being by developing their readiness for the artificial intelligence age. Sustainability, 12(16),6597. https://doi.org/10.3390/su12166597[3] Chiu, T. K. F. and Chai, C. S. (2020). Sustainable curriculum planning for artificialintelligence education: a self-determination theory perspective. Sustainability, 12(14), 5568.https://doi.org/10.3390/su12145568[4] Cavanagh, T. B., Chen, B., Lahcen, R. A. M., & Paradiso, J. (2020). Constructing a designframework and pedagogical approach for adaptive learning in higher education: a practitioner'sperspective. The International Review of

Conference Session

Pre-College Engineering Education Division (PCEE) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rachel E. Gehr, Purdue University, West Lafayette; Tamara J Moore, Purdue University, West Lafayette; Kerrie A Douglas, Purdue University, West Lafayette

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

Development, vol. 4, no. 1., 2002.[8] J. A. del Alamo et al., “Reasserting U.S. Leadership in Microelectronics: A White Paper on the Role of Universities,” MIT, 2021.[9] P. Patel, “Building a U.S. Semiconductor Workforce,” IEE Explore, pp. 28–35, Jun. 2023. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10147079[10] J. Wilson, A. M. Krakowsky, & C. I. Herget, “Starting early: Increasing elementary (K-8) student science achievement with retired scientists and engineers,” IEEE Transactions on Education, vol. 53, 2010.[11] R. H. Tai, C. Q. Liu, A. V. Maltese, & X. Fan, “Planning for early careers in science,” Science, vol. 312, no. 5777, 2006. doi: 10.1126/science.1128690[12] A. J. Crawford et al

Conference Session

Analysis of Feedback Loops, Understanding the Impact of a LSAMP Scholar Program, Sustainable and Equitable Infrastructure, and Indigenous Innovators

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yang Lydia Yang, Kansas State University; Brenee King, Kansas State University; Amy Rachel Betz, Kansas State University; Shana Bender

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

Paper ID #37522Understanding the Impact of an LSAMP Scholar ProgramDr. Yang Lydia Yang, Kansas State University Yang Lydia Yang is an Associate Professor of Quantitative Research Methodology at College of Educa- tion, Kansas State University. She received her Ph.D. in Curriculum & Instruction from Florida Inter- national University. Her research interest include quantitative educational research design and statistical analyses, Q methodology, and recruitment and retention in STEM fields.Dr. Brenee King, Kansas State UniversityDr. Amy Rachel Betz, Kansas State University Dr. Amy Betz is the Assistant Dean for Retention

Conference Session

Educational Research and Methods Division (ERM) Technical Session 20

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lise Clara Mabour, Tufts University; Geling Xu, Tufts University; Brian Gravel, Tufts University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, culturally relevant/ sustaining workshop designs. Author 1, had to rely onthe high school mentors’ knowledge and input because they are experts and participants in youthculture. Author 2 “To provide a more comfortable and safe environment for participants to share their ideas and thoughts, we told them all their ideas would be [anonymized post-workshop], and we don’t judge any ideas, we just share and learn. To encourage them to express more, we use a storytelling session instead of the traditional Q&A session to learn about participants’ background experiences with AI/ML and their attitude/perspective of teaching AI/ML. That was a successful attempt. Participants shared more

Conference Session

Civil Engineering Division (CIVIL) Technical Session - Professional Practice 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jennifer Retherford, University of Tennessee at Knoxville; Sarah Mobley, University of Tennessee at Knoxville

Tagged Divisions

Civil Engineering Division (CIVIL)

; Exposition, 2009, p. 14.223. 1- 14.223. 18.[5] S. D. Hart, “Applying the ExCEEd Teaching Model in a Flipped Classroom Environment,” in 2016 ASEE Annual Conference & Exposition, 2016.[6] J. Q. Retherford and J. K. Amoah, “Incorporating ASCE’s ExCEEd Principles in Capstone Project and Other Active Learning Courses,” in Proceedings of the American Society of Engineering Education Southeast Section Conference, 2014.[7] R. W. Welch and C. B. Farnsworth, “Using the ExCEEd Model for Distance Education,” in 2011 ASEE Annual Conference & Exposition, 2011, p. 22.1645. 1-22.1645. 22.

Conference Session

Project-Based Learning Enhanced through Instrumentation

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cyril B Okhio P.E., Kennesaw State University; Austin B. Asgill P.E., Kennesaw State University; Nicholas Velatini; Theodore Orrin Grosch, Kennesaw State University

Tagged Divisions

Instrumentation Division (INST)

Recognition Workshop (AIPR)2016 IEEE, pp. 1-5, 2016[33] Wilensky, U., Resnick, M., 1999. Thinking in Levels: A Dynamic Systems Approach toMaking Sense of the World, Journal of Science Education.[34] M. Tubaishat, Q. Qi, Y. Shang and H. Shi, "Wireless Sensor-Based Traffic Light Control,"2008 5th IEEE Consumer Communications and Networking Conference, 2008, pp. 702-706, doi:10.1109/ccnc08.2007.161.[35] Ana L. C. Bazzan. A distributed approach for coordination of traffic signal agents.Autonomous Agents and Multi-Agent Systems, 10(2):131– 164, 2005.