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Displaying results 7141 - 7170 of 36226 in total
Conference Session
Breaking barriers, building futures: Narratives of equity and inclusion in STEM education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Bailey Bond-Trittipo, Florida International University; Stephen Secules, Florida International University; Jocelyn Garcia; Maria Oralia Tinoco Alegre, Florida International University; Malak Elaouinate, Florida International University; Andrew Green, Florida International University; Andres TREMANTE
Tagged Topics
Diversity
Tagged Divisions
Culture & Social Justice in Education Division (EQUITY), Equity
Conference Session
Architectural Engineering Division (ARCHE) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Ryan Solnosky P.E., Pennsylvania State University; John J. Phillips, Oklahoma State University
Tagged Divisions
Architectural Engineering Division (ARCHE)
furthest tocompletion, with electrical design being lowest and equal to plumbing. An unexpected result was how manytake their designs to a construction document (CD) level of completeness (Fig. 2b). This could be partiallydue to a team’s ability to go to that level of refinement, or perhaps certain key parts of a discipline’ssystem(s) are developed to that extent while other parts are not. For example, a team may design a singlestructural connection but not all of them in the building. To provide some literature context, most capstoneshave students target a level of completeness of their project somewhere between SD and DD [18-19]. a) covered within the capstone b) completeness of student work
Conference Session
MECH - Technical Session 9: Advanced Mechanical Engineering Topics
Collection
2024 ASEE Annual Conference & Exposition
Authors
Rachel Mok, Massachusetts Institute of Technology; Cong Li, Massachusetts Institute of Technology; Benita Comeau, Massachusetts Institute of Technology; Emily Welsh, Massachusetts Institute of Technology; Nicholas Xuanlai Fang, University of Hong Kong; John Liu, Massachusetts Institute of Technology
Tagged Divisions
Mechanical Engineering Division (MECH)
their ability to learn the ma-terial, apply the material they have learned, and how well they believe they will perform in the Figure 5: User testing flow chart.learning activity. The full list of questions in the affective assessment is provided in Appendix B.The cognitive assessment consists of five multiple-choice questions focusing on technical aspectsof AFM imaging and identifying sources of common image artifacts.In the lab session, once it was confirmed that each student had completed the pre-lab, they wererandomly assigned to either the simulation cohort or the traditional paper (control) cohort. Stu-dents in the paper cohort did not have access to the simulation and were instead provided withimage(s
Conference Session
Student Division Technical Session 2: Career Development and Employability
Collection
2024 ASEE Annual Conference & Exposition
Authors
Mandana Ashouripashaki, The Ohio State University; Krista M Kecskemety, The Ohio State University
Tagged Divisions
Student Division (STDT)
behaviors.The foundation of the MBTI lies in four fundamental dimensions, each represented by a pair ofopposing traits: • Extraversion (E) – Introversion (I): This dimension focuses on where individuals direct their attention and energy. Extraverts gain their energy from external sources and thrive on social interaction, while introverts find solace in their inner world and prefer reflection. • Sensing (S) – Intuition (N): This aspect relates to how individuals process information. Sensing types rely on concrete details and present realities, while intuitive types prioritize abstract concepts and future possibilities. • Thinking (T) – Feeling (F): This dimension highlights decision-making styles. Thinkers
Conference Session
Diverse Pathways: Exploring Inclusive Practices and Outreach in Engineering Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Maimuna Begum Kali, Florida International University; Gabriel Van Dyke, Utah State University; Stephen Secules, Florida International University; Cassandra J McCall, Utah State University; Bruk T Berhane, Florida International University; Vanessa Tran, Utah State University; Agustina Dotta Ceriani, Florida International University
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering Division(MIND)
Services at Utah State University. Her research centers the intersection identity formation, engineering culture, and disability studies. Her work has received several awards including best paper awards from the Journal of Engineering Education and the Australasian Journal of Engineering Education. She holds a Ph.D. in Engineering Education from Virginia Tech as well as M.S. and B.S. degrees in civil engineering from the South Dakota School of Mines and Technology.Dr. Bruk T Berhane, Florida International University Dr. Bruk T. Berhane received his bachelorˆa C™s degree in electrical engineering from the University of Maryland in 2003. He then completed a masterˆa C™s degree in engineering management at George
Conference Session
DSA Technical Session 7
Collection
2024 ASEE Annual Conference & Exposition
Authors
Harpreet Auby, Tufts University; Namrata Shivagunde, University of Massachusetts, Lowell; Anna Rumshisky, University of Massachusetts, Lowell; Milo Koretsky, Tufts University
Tagged Topics
Data Science & Analytics Constituent Committee (DSA)
with the question, four in-context examples of answers, and the corresponding codes and instructed it to generate thecode(s) for the new answer instance. The in-context examples for GPT-4 prompt are drawn fromthe training split of the manually-coded dataset. We finetuned the Mixtral of Experts (MoE) [30]model using input and target pairs derived from the manually-coded training datasets. Thistrained model was then prompted with new test inputs, and the model-generated coded sequencewas evaluated against the manually coded target sequence. We evaluated both models on a testset of around 140 samples for each thermodynamics question. Using manual and languagemodel-based coding, we aim to answer two research questions: 1. What aspects of student
Conference Session
Open-Ended Problems and Student Learning
Collection
2011 ASEE Annual Conference & Exposition
Authors
Nora Siewiorek, University of Pittsburgh; Larry J. Shuman, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh; Rosa Goldstein, University of Pittsburgh
Tagged Divisions
Educational Research and Methods
to the Reflection Tool QuestionsAn excerpt of the responses Instructor 1 gave during the interview is summarized below in Table2. The comparisons to student responses are also listed, which includes only the top responses(or top two if the difference in number of responses was 2 or less). A discussion of thecomparison of the two responses follows Table 2.Table 2: Instructor 1’s perception of student responses to reflection questions in the Engineering Page 22.351.6Economic Analysis CourseReflection Tool Questions Instructor 1 perception MEA specifics Comparison to
Collection
2023 ASEE GSW
Authors
Piyush Tandon; Larry Powell; Seth Polsley; Tracy Hammond
participant is not actually swimming any particular stroke. Prior methods of conductingstudies would record some level of inactive data (e.g. participant walking to the pool), whichwould then have to be parsed and removed manually. We can also record flip turns with this app,which also allows us to avoid manually removing flip turns in order to preserve data integrity.This application was developed through prior work done with Powell [55].Data Processing And Feature ExtractionIn order to extract features and train a classifier using our accelerometer data, we first need toclean the data, extract features, and present it to our classifier(s) in a .csv file format, which is afile format that WEKA, a machine learning library, accepts as input for
Collection
2024 ASEE Midwest Section Conference
Authors
Hamzah Mousa; Margarita O. Genes; Adam C. Lynch
P O TENCIAL P O TENCIAL CURRENT P RO CES S P O TENCIAL FAILURE RP N ( S EV x O CC x RECO MMENDE EFFECTS O F S EV CAUS ES O F O CC P RO CES S DET ACTIO NS TAKENS TEP / FUNCTIO N MO DE DET) D ACTIO NS FAILURE FAILURE CO NTRO L
Conference Session
Educational Research and Methods Division (ERM) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Asif Mohaisin Sadri, International Islamic University, Malaysia; Arif Mohaimin Sadri, University of Oklahoma; Khondhaker Al Momin, University of Oklahoma; Javeed Kittur, University of Oklahoma; Tahrima Rouf, University of Oklahoma
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods Division (ERM)
Conference Session
Educational Research and Methods Division (ERM) Technical Session 29
Collection
2024 ASEE Annual Conference & Exposition
Authors
Justin Charles Major, Rowan University; Richard Tyler Cimino, New Jersey Institute of Technology
Tagged Topics
Diversity
Tagged Divisions
Educational Research and Methods Division (ERM)
caring that includes both comfortwith faculty and empathetic faculty understanding from the same author.Discrimination (25 items)Discrimination is an active process that influences belonging in engineering (McGee, 2020). Toaccount for this potential, we adapted and included five items across five different identity-axes(race/ethnicity, gender, sexual orientation, (dis)ability, and socioeconomic status) from Bahnsonet al.’s (2022) work on discrimination in engineering graduate student experiences.Comfort and Team Inclusion (19 items)We believe feelings of discrimination and differences in belonging are also seen through students’comfort and inclusion on their team. As such, we included items based on these topics. Like othersabove, these scales
Collection
2009 Pacific Southwest Section Meeting
Authors
Arun K. Datta; Jacqueline Caesar; Daphne Rainey; Stephen Cammer; Julie Schuman; Oswald Crasta
448Figure 1. Relationships between the knowledge worker at the center of the CI with high-performancecomputers and Teragrid, middleware, VO (virtual organizations), data management and knowledgediscovery, and visualization services. The objective of CIBRED is to educate and bring awareness of CI(Courtesy of S. Wang12; courtesy of Stan Watowich13).from computational technologies, enables individuals, groups, and organizations to advanceresearch and education in ways that revolutionizes the practice of participation. Once again, a newworkforce empowered with the knowledge and skills to design, deploy, adapt and apply CI, areneeded to sustain this revolution across all areas of science and engineering. The OCI CI-TEAMprogram supports educational
Conference Session
Track 6: Technical Session 5: Development of a measure of intersectional socioeconomic inequality that extends beyond income
Collection
2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)
Authors
Justin Charles Major, Rowan University; Allison Godwin, Cornell University
Tagged Topics
2025 CoNECD Paper Submissions, Diversity
influenced by. Like individual socioeconomics,these characteristics reflect hierarchical social and economic ranking amongst people. Importantly,they reflect Keynes (1936) argument that socioeconomics are group mentalities that organizepeople’s positions amongst society. Keynes (1936) illustrated that individuals with similar incomeslive together (household) or near one another (neighborhood/school) and likely have a similaroccupation. Given these features, we consider the following relational socioeconomic factors:1. Family/household income, occupation, and education are representations of the total, combinatory income(s), prestige, or educational status of the household. Household socioeconomic status has also been inferred based on what
Conference Session
PCEE Technical Session 5: STEM Teacher Instructional Moves
Collection
2022 ASEE Annual Conference & Exposition
Authors
Pamela Lottero-Perdue, Towson University; Jamie Mikeska
Paper ID #37136Simulated Engineering Teaching Experiences: PreserviceTeachers Learning to Facilitate Discussions to Help StudentsBecome Informed Designers (RTP)Pamela S. Lottero-Perdue (Professor of Science & Engineering Education) Pamela S. Lottero-Perdue, Ph.D., is Professor of Science and Engineering Education in the Department of Physics, Astronomy & Geosciences at Towson University. She has integrated engineering into courses for PreK-8 teacher candidates, developed and directed a graduate STEM program for PreK-6 teachers, and partnered with teachers to implement PreK-8 science-integrated engineering
Conference Session
Design Cognition III
Collection
2012 ASEE Annual Conference & Exposition
Authors
David R. Wright, North Carolina State University
Tagged Divisions
Design in Engineering Education
Collection
2022 ASEE Gulf Southwest Annual Conference
Authors
Xishuang Dong, Prairie View A&M University; Xavier Alexander Dukes; Joshua Littleton, Prairie View A&M University; Tri'Heem Neville; Christopher Rollerson; Arthur L Quinney
Tagged Topics
Diversity
ConclusionThis paper presents preliminary work of the implementation of object detection on Raspberry Pi for asenior design project. We run a mobile deep learning model, SSD-MobileNet, on Raspberry Pi todetect various objects. Preliminary valudation results demonstrate the effectiveness of thisimplementation. Moreover, the on-going work is to improve weapon detection. Future work will focuson completing comprehensive and systematical validation on weapon detection in different testingscenarios. References1. Dave, E. (2011). How the next evolution of the internet is changing everything. The Internet of Things.2. Islam, S. R., Kwak, D., Kabir, M. H., Hossain, M., and Kwak, K. S. (2015). The internet
Collection
2022 ASEE Gulf Southwest Annual Conference
Authors
Olubunmi Gregory Adekanmbi, Prairie View A&M University
discussed.Below are the basics of the Gravitational N-Body Problem for the sake of this experiment. Findingpositions and movements of bodies in space subject to gravitational forces from other bodies usingNewton’s laws of motion.Gravitational force F between two bodies of masses ma and mb as seen in Figure 1 is: (1) Figure 1: Gravitational N-Body ProblemG is the gravitational constant (6.673 × 10-11 m3 kg-1 s-2) and r the distance between the bodies. (2)For a system of N particles, the sum of the forces is
Collection
2022 ASEE Gulf Southwest Annual Conference
Authors
Carol E Akpan, Prairie View A&M University ; Lealon L Martin; Kendall Lemons
Tagged Topics
Diversity
particular, researchers performanalyses of the environments associated with a microgreens market using a PESTLE framework –which identifies the political (P), economic (E), sociocultural (S), technological (T), legal (L), andenvironmental (E) forces influencing a market. The political environment (P) is favorable towardsincreased microgreen production. For example, the Farm Bill of 2018 provided the USDA’s NationalInstitute of Food and Agriculture with up to $10 million of annual funding toward a competitive grantprogram supporting the development of urban, indoor, and emerging agriculture practices (USDA)2.The economic environment (E) is perceived to be favorable for a microgreens market. Microgreenstrade at a premium when compared to other
Collection
2022 ASEE Gulf Southwest Annual Conference
Authors
Kazi Meharajul Kabir, Prairie View A&M University; shuza Binzaid; John Okyere Attia P.E., Prairie View A&M University
, fabricated, and tested successfully at the PVAMU's SMART Center for bike laneapplications. The EGP is composed of seven layers of compound materials. A 3-feet-long integratedPZT strip of 18 thin-film PZT cells was placed in the middle of the EGP. The prototype of the EGPwas tested using an output load of 7.5 kΩ. A bicycle with a rider weighing a total of about 142pounds served as the mechanical pressure source for the test. The tested PZT cells produced anaverage of 68 VDC, and the energy of the DCPR was 616.53 mW/s for the rider riding the bike onthe EGP. IntroductionGlobal energy demand is increasing due to technological advances and consumer patterns that haveled to increased energy demand [1-2
Collection
2022 ASEE Gulf Southwest Annual Conference
Authors
Ruaa Al Mezrakchi, Tarleton State University; Ahmed Al-Ramthan, Tarleton State University
Tagged Topics
Diversity
of the 2022 ASEE Gulf-Southwest Annual Conference Prairie View A&M University, Prairie View, TX Copyright © 2022, American Society for Engineering Education 7 References1. Sumarni, S., 2016, "Think Pair Share effect of understanding the concept and achievement," in Proceeding of the International Conference on teacher Training and Education, Vol. 2, No. 1, pp. 783-787.2. Deshpande, A. and Salman, B., 2016, "Think-pair-share: application of an active learning technique in engineering and construction management classes," in Associate Schools of Construction, 52nd
Collection
2022 ASEE Gulf Southwest Annual Conference
Authors
Aniket Patel, Texas A&M University; Seth Polsley, Texas A&M University; Tracy Anne Hammond, Texas A&M University
slightly betterresults. Our next steps include building on existing sketch recognition research andincorporating more features such as tilt and pressure measurements in hopes of building areliably accurate application to access children’s fine motor skills. References 1. Grissmer, D., Grimm, K.J., Aiyer, S.M., Murrah, W.M., Steele, J.S.: Fine motor skills and early comprehension of the world: two new school readiness indicators. Develop-mental psychology 46(5), 1008 (2010). 2. Anthony, L., Brown, Q., Nias, J., Tate, B., Mohan, S.: Interaction and recognition challenges in interpreting children’s touch and gesture input on mobile devices. In:Proceedings of the 2012 ACM
Conference Session
Faculty Development Division (FDD) Technical Session 4
Collection
2023 ASEE Annual Conference & Exposition
Authors
Gabriella Coloyan Fleming, University of Texas, Austin
Tagged Topics
Diversity
Tagged Divisions
Faculty Development Division (FDD)
) further narrowing the list down to a “short list” for an on-site, in-personinterview, 5) deciding which candidate(s) will receive an offer, and 6) negotiation. In somecases, steps three and four are skipped, and only one round of interviews is completed. The faculty hiring process is fraught with bias, including racial bias [1], gender bias inletters of recommendation [2], and search committee members seeking to hire people whoseresearch areas are most similar to their own [3]. Hiring people similar to oneself extends beyondresearch areas. Many search committees look for candidates who would be a good “fit”(generally, scientifically, programmatically) [4, 5]. However, “fit” is highly subjective and opento the evaluator’s personal biases
Conference Session
Entrepreneurship & Engineering Innovation Division (ENT) Poster Session
Collection
2023 ASEE Annual Conference & Exposition
Authors
Chithra Adams, VentureWell; Sarah E. Zappe, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Phil Weilerstein, Broadening Impacts; Hope Liu
Tagged Divisions
Entrepreneurship & Engineering Innovation Division (ENT)
necessarily reflect the views of the NSF.References 1. SE. Zappe, SL. Cutler, & L. Gase. 2023. A Systematic Review of the Impacts of Entrepreneurial Support Programs in Science, Technology, Engineering, and Math Fields. Entrepreneurship Education and Pedagogy, 6(1), 3–31. https://doi.org/10.1177/25151274211040422 2. F. Hasson, S. Keeney, and H. McKenna. 2000. Research guidelines for the Delphi survey. Journal of Advance Nursing, vol. 32, pp. 1008-1015. 3. F. Hasson, and S. Keeney, “Enhancing rigour in the Delphi technique research,” 2011, Technological Forecasting & Social Change, vol. 78, pp. 1695-1704. 4. P. Wainwright, A. Gallagher, H. Tompsett, & C. Atkins. 2010. The use of vignettes within a
Conference Session
Will This Be on the Mechanics Test? Concept Inventories and Understanding Exams
Collection
2023 ASEE Annual Conference & Exposition
Authors
Anna K. T. Howard, North Carolina State University, Raleigh; Azadeh Dashti Cole, North Carolina State University, Raleigh
Tagged Divisions
Mechanics Division (MECHS)
engineering computer applications. Proceedings of the 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. https://peer.asee.org/413492 Moore, J. P., & Ranalli, J. (2015, June), A Mastery Learning Approach to Engineering Homework Assignments. Proceedings of the 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.234053 R. Averill, S. Roccabianca, and G. Recktenwald, A Multi-Instructor Study of Assessment Techniques in Engineering Mechanics Courses. Proceedings of the 2019 ASEE Annual Conference & Exposition, Jun. 2019. https://peer.asee.org/a-multi-instructor-study-of-assessment-techniques-in-engineering-mechanics- courses4 Sangelkar, S., & Ashour, O. M., &
Conference Session
Equity, Culture & Social Justice in Education Division (EQUITY) Technical Session 4
Collection
2023 ASEE Annual Conference & Exposition
Authors
Stephanie Masta, Purdue University, West Lafayette ; Janelle Grant, University of Illinois, Urbana-Champaign; Cara Margherio, University of Washington; Darryl Dickerson, Florida International University; Matthew W. Ohland, Purdue University, West Lafayette ; Alice L. Pawley, Purdue University, West Lafayette
Tagged Topics
Diversity
Tagged Divisions
Culture & Social Justice in Education Division (EQUITY), Equity
Conference Session
Engineering Technology Division (ETD) Technical Session 1
Collection
2023 ASEE Annual Conference & Exposition
Authors
Carmen Cioc, The University of Toledo; Sorin Cioc; Noela A. Haughton, The University of Toledo
Tagged Divisions
Engineering Technology Division (ETD)
develop a better understanding of the technical content, societal andeconomic impact of the proposed solution, while supporting the students’ preparedness andreadiness for the workforce.IntroductionThere are numerous recent scholarly works examined the way in which the Kern EntrepreneurialEngineering Network (KEEN)’s mindset is enhancing the students’ engagement and skills invarious engineering courses, like Material Science [1], or Mechanical Design or StructuralAnalysis [2, 3, 4], or Fluid Mechanics [5, 6, 7, 8] or across engineering curriculum [9, 10, 11, 12,13].In all instances, the authors found that the inclusion of an entrepreneurship education, aspromoted by KEEN, and further support the engineering students’ readiness for the
Collection
2022 ASEE - North Central Section Conference
Authors
Scott Duplicate Streiner, University of Pittsburgh; Qin Zhu, Colorado School of Mines
Tagged Topics
Diversity
. Review of General Psychology, 19(4), 408–424. https://doi.org/10.1037/gpr00000536. Graham, J., Nosek, B. A., Haidt, J., Iyer, R., Koleva, S., & Ditto, P. H. (2011). Mapping the Moral Domain. Journal of Personality and Social Psychology. https://doi.org/10.1037/a00218477. Clancy, R. F. (2021). The Relations between Ethical Reasoning and Moral Intuitions among Engineering Students in China. 2021 ASEE Virtual Annual Conference Content, July 2021.8. Graham, J., Haidt, J., & Nosek, B. A. (2009). Liberals and Conservatives Rely on Different Sets of Moral Foundations. Journal of Personality and Social Psychology, 96(5), 1029–1046. https://doi.org/10.1037/a00151419. Graham, J., Meindl, P., Beall, E., Johnson, K. M., & Zhang, L
Conference Session
Educational Research and Methods (ERM) Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Saharnaz Baghdadchi, University of California, San Diego; Alex Phan, University of California, San Diego; Carolyn Sandoval, University of California, San Diego; Huihui Qi, University of California, San Diego; Marko Lubarda, University of California, San Diego; Nathan Delson, University of California, San Diego
five potential answers ranging from “to a great extent” to “not at all”and two free response questions were utilized in this study. The Likert scale questions used inthis study were: ● Did the oral exam(s) contribute positively to your learning in the course? ● Do you feel that the oral exam(s) helped improve your technical speaking skills? ● Did the oral exam(s) increase your motivation to learn? ● Do you feel the oral exam(s) contributed positively to academic integrity in the course? ● Did the oral exams cause you undue stress?The two free response questions asked about the best aspects of the oral exams and their areas ofimprovement. To run ANOVA on ranks tests and find the correlation between different factors,scores of 5
Conference Session
Case Studies
Collection
2022 ASEE Zone IV Conference
Authors
Yuri R. Rodrigues, Seattle Pacific University
Tagged Topics
Conference Submission, Diversity
-thematic in the design and decision-making process [14]. Moreover, the proposed holisticengineering design education prevailing over the restricted use of key technical macro-thematicfactors, allow for the design of equitable and inclusive solutions through the consideration of thediverse influences associated with the project. This is an especially critical feature given that keytechnical macro-thematic factors used for traditional engineering design may be developed basedon specific group(s) of our society. Therefore, not accounting for the uniqueness and diversity thatlocal-thematic may impose, and even demand, from the respective solution, e.g., Smart Gridprojects for a high- and low- income regions significantly differ on its design features
Conference Session
Disability, Neurodivergence, and Sense of Belonging in STEM: Equity, Culture & Social Justice in Education Division Technical Session 5
Collection
2022 ASEE Annual Conference & Exposition
Authors
D. C. Beardmore, University of Colorado Boulder; Robyn Sandekian, University of Colorado Boulder; Angela Bielefeldt, University of Colorado Boulder
remains a dominantideology in public opinion, professional practice, academic policy, and law in the U. S. today [1].The legal definition of disability in the U. S. exemplifies the medical model. Section 3 of theAmericans with Disabilities Act of 1990 and its 2008 amendment defines disability, with respectto an individual, as “(A) a physical or mental impairment that substantially limits one or more ofthe major life activities of such individual; (B) a record of such an impairment; or (C) beingregarded as having such an impairment” [34]. The second model, called the social model ofdisability, emerged in the late 20th century [15] and has quickly become a widespreadepistemology in disability studies [35]. The social model posits disability as a