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Displaying results 61 - 90 of 391 in total
Conference Session
NSF Grantees Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Noemi V Mendoza Diaz, Texas A&M University; Deborah Anne Trytten, The University of Oklahoma; Russell D. Meier, Milwaukee School of Engineering; Harry A. Hogan, Texas A&M University; So Yoon Yoon, University of Cincinnati
Tagged Topics
Diversity, NSF Grantees Poster Session
of D), failed (grade of F), or withdrew (either with a gradeof Q for students remaining at the institution, or W for students leaving the institution) in aneffort to understand how their performance in computational thinking affected their careertrajectories. In addition, we are also completing the longitudinal study of computational thinkingdevelopment in our student cohorts.IntroductionDuring the last period, the major achievements of this project were the validation of theEngineering Computational Thinking Diagnostic (ECTD) and its dissemination. The validationof the instrument afforded the opportunity to identify its predictive characteristics, strengtheningour rationale that this diagnostic can be a powerful tool in assessing entry
Conference Session
NSF Grantees Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Yue Li, Miami University; Maressa L. Dixon, Miami University; Sarah Woodruff
Tagged Topics
NSF Grantees Poster Session
outcomeswere measured as dispositions, including interest, aspiration, motivation, confidence, and self-efficacy. A smaller number of studies also assessed knowledge in specific STEM careers.Overall, a small to moderate level of positive effect was observed (effect size mean = 0.379, SE= 0.064, 95%CI = 0.252 – 0.505, p < .001), with significant heterogeneity (Q (167) = 2418.355,p < .001), suggesting the need to explore potential moderator variables.Intervention characteristics revealed that 58% targeted underrepresented and/or underservedpopulations, 41% included explicit career development, and interdisciplinary content wascommon. Additionally, 56% of studies took place in informal settings. The study also consideredintervention format
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)
profiled assomeone who was going to rob the store or steal items without paying. That really just cementedfor me, like these types of experiences that I'm having today and I'll have in the future, wherethere's no way this “white on the inside” identity that other people try to give to me is going toever be able to be used by me.In terms of other identities, I am a cisgender man. So that comes into play when I have tohesitate to see how aggressive I may come off to somebody from me being Black and then beinga cisgender man specifically. If we are going to go a little bit deeper, I do not fully identify withLGBTQ identity, but if the Q stands for the sense for questioning, I guess it is there. As far asqueerness is involved, I identify with some
Conference Session
NSF Grantees Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Jessica E S Swenson, University at Buffalo, The State University of New York; Mary McVee
Tagged Topics
Diversity, NSF Grantees Poster Session
; Exposition Proceedings, Atlanta, Georgia: ASEE Conferences, Jun. 2013, p. 23.973.1-23.973.16. doi: 10.18260/1-2--22358.[11] O. García and J. A. Kleifgen, “Translanguaging and Literacies,” Read. Res. Q., vol. 55, no. 4, pp. 553–571, Oct. 2020, doi: 10.1002/rrq.286.[12] O. García and T. Kleyn, Eds., Translanguaging with multilingual students: learning from classroom moments. New York ; London: Routledge, Taylor & Francis Group, 2016.[13] O. García and L. Wei, Translanguaging. London: Palgrave Macmillan UK, 2014. doi: 10.1057/9781137385765.[14] O. García and T. Kleyn, “A TRANSLANGUAGING EDUCATIONAL PROJECT,” in Translanguaging with Multilingual Students, 1st ed., Routledge, 2016, p. 21.[15] O. García and T. Kleyn
Conference Session
Computers in Education Division (COED) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Quintana (Quincy) Clark, Oregon State University; Chidinma Grace Okoye; Theodore Ja
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
question (such as a chapter’s worth of material) to better refine the response to thestudent. We also implement frequent and customized Q&A buttons, such as simplifying aresponse, providing prerequisite information, providing a real-world example, etc. Thecustomization buttons allow the user to provide their own frequently asked questions, such as“Explain it to me like I’m a 5-year-old”.Study impact includes feedback from eNotebook’s usage analytics, where automated personalizedquiz scores will be correlated with tracked study habits, and suggested changes will be offered byeNotebook to improve academic performance. Templates from various study methods will beavailable, as well as shared libraries of student-customized versions of eNotebook
Conference Session
Educational Research and Methods Division (ERM) Technical Session 9
Collection
2024 ASEE Annual Conference & Exposition
Authors
Isabel Hilliger, Pontificia Universidad Católica de Chile; Marietta Castro, Universidad San Sebastián; Ema Huerta Torres, Universidad Católica de Norte; Erick Vaclav Svec, Pontificia Universidad Católica de Chile; Jorge Baier, Pontificia Universidad Católica de Chile
Tagged Divisions
Educational Research and Methods Division (ERM)
Australasian Association Engineering Education Conference (AAEE2019), 2019, pp. 568–574, [Online]. Available: https://aaee.net.au/wp- content/uploads/2020/07/AAEE2019_Annual_Conference_paper_72.pdf.[5] D. Chadha et al., “Are the kids alright? Exploring students’ experiences of support mechanisms to enhance wellbeing on an engineering programme in the UK,” Eur. J. Eng. Educ., pp. 1–16, 2020, doi: 10.1080/03043797.2020.1835828.[6] I. Hilliger, G. Astudillo, and J. Baier, “Lacking time: A case study of student and faculty perceptions of academic workload in the COVID-19 pandemic,” J. Eng. Educ., vol. 112, no. 3, pp. 796–815, 2023, doi: 10.1002/jee.20525.[7] Q. Liu and G. Evans, “Supporting Information for the
Conference Session
First-Year Programs Division WIPS 1: Projects, Teams, and Portfolios
Collection
2024 ASEE Annual Conference & Exposition
Authors
Abigail Clark, Ohio Northern University
Tagged Divisions
First-Year Programs Division (FYP)
difference at =0.05. Several questions were found to be statistically significant, asshown in Table 4 Table 4: Comparing mean values between post-fall and post-spring Q Post Fall 2022 Post Spring 2023 Mean t df p M (SD) M (SD) Difference 16 1.660 (1.205) 2.009 (0.956) -0.349 -2.257 177 .025 34 1.032 (1.589) 1.636 (1.239) -0.604 -2.973 175 .003 37 1.602 (1.595) 2.103 (1.140) -0.501 -2.519 164 .013Discussion & Future WorkAdditional work is needed to better understand the results of the EDVES survey. Initial
Conference Session
First-Year Programs Division WIPS 2: Students and Peer Mentors
Collection
2024 ASEE Annual Conference & Exposition
Authors
Nusaybah Abu-Mulaweh, The Johns Hopkins University; Constanza Miranda, The Johns Hopkins University; Alissa Burkholder Murphy, The Johns Hopkins University; Jenna Frye, The Johns Hopkins University
Tagged Topics
Diversity
Tagged Divisions
First-Year Programs Division (FYP)
, Australian Journal of Psychology, 73:1, 87-102, DOI:10.1080/00049530.2021.1883409[4] Maithreyi Gopalan. “Students’ Sense of Belonging Matters: Evidence from Three Studies”.https://www.google.com/url?q=https://tll.mit.edu/sense-of-belonging-matters/&sa=D&source=docs&ust=1707428553250036&usg=AOvVaw00y7fOXuEVLb49q3Cg-2MA[5] Eccles, J. S., & Midgley, C. (1989). Stage/Environment Fit: Developmentally AppropriateClassrooms for Early Adolescence. In R. E. Ames, & Ames, C. (Eds.), Research on Motivationin Education, 3, 139-186. New York: Academic Press.[6] Eccles, J. S., & Roeser, R. W. (2011). Schools as developmental contexts during adolescence.Journal of Research on Adolescence, 21(1), 225–241. https://doi.org/10.1111/j.1532
Conference Session
Identity Formation and Engineering Cultures
Collection
2024 ASEE Annual Conference & Exposition
Authors
Timothy Duane Reedy, University of Maryland, College Park; David Tomblin, University of Maryland, College Park
Tagged Topics
Diversity
Tagged Divisions
Liberal Education/Engineering & Society Division (LEES)
, Group Part II: Image of belonging. They used dot voting to identify discussion on space Analysis the most and least significant spaces and impact discussed how these spaces influence their engineering identity and feelings of belonging. Part III: Q- Participants used Q-Methodology to sort Statement sorting, Methodology statements about their engineering education, reflecting on (Statement reflecting diverse views on dominant engineering education Sorting) engineering cultures. They placed these experiences, justifying statements on a Q-Board continuum to
Conference Session
NSF Grantees Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Amy B Chan Hilton, University of Southern Indiana
Tagged Topics
Diversity, NSF Grantees Poster Session
office, the project team hasidentified the set of available institutional data, developed an inventory of existing academic datasets and dashboards, and explored similar tools developed at other universities (e.g., IndianaUniversity Bloomington, University of California Davis, University of Kansas).During Year 1, over 80 Questions and “I Wonders” (QWs) were developed through the DataTools Co-Design and Inquiry in STEM Success Faculty Communities sessions (prompted byreading papers and national reports on student success and retention in STEM) and visit to ameeting of the STEM department chairs. Members of the Data Tools Co-Design FC categorizedthe generated Q&Ws according to data category, when faculty would use the information, andwhy a
Conference Session
First-Year Programs Division GIFTS: Great Ideas For Teaching Students
Collection
2024 ASEE Annual Conference & Exposition
Authors
Stephany Coffman-Wolph, Ohio Northern University; Kimberlyn Gray, West Virginia University Institute of Technology; Abigail Clark, Ohio Northern University
Tagged Divisions
First-Year Programs Division (FYP)
/not-just-for-kids-using- picture-books-with-teens-and-tweens.html#more-22917[3] Wpadminlernerbookscom. (2022a, April 11). How to Use Picture Books with Tweens and Teens: Q&A with Literacy Experts. The Lerner Blog. https://lernerbooks.blog/2021/03/how- to-use-picture-books-with-tweens-and-teens-qa-with-experts.html[4] Fresch, M.J. & Harkins, P. (2009). The power of picture books: Using content area literature in middle schools. Urbana, IL: National Council of Teachers of English.[5] Massey, S.R. (2015). The Multidimensionality of Children’s Picture Books for Upper Grades. English Journal, 104, 45.[6] Chesney, D. Big Fish: The Lost Art of Storytelling in the Engineering Classroom, at the American
Conference Session
Educational Research and Methods Division (ERM) Technical Session 3
Collection
2024 ASEE Annual Conference & Exposition
Authors
Helen L. Chen, Stanford University; Ade Mabogunje, Stanford University
Tagged Divisions
Educational Research and Methods Division (ERM)
. Gilmartin, H.L. Chen, M.E. Besterfield-Sacre, N. Duval-Couetil, A.Shartrand, L. Moore, E. Costache, A.M. Fintoc, Q. Jin, C. Ling, F. Lintel, L. Britos Cavagnaro,H. Fasihuddin, A,K., Breed, “Exploring what we don’t know about entrepreneurship educationfor engineers,” ASEE Annual Conference & Exposition, Seattle, WA, 2015. Available:http://epicenter.stanford.edu/documents/ERS%20-%20ASEE_Summit_Paper_FINAL__040515_.pdf.[5] W.E. Mcmullan and W.A. Long, “Entrepreneurship education in the nineties,” Journal ofBusiness Venturing, 2(3), 261-275, 1987. Available:https://www.sciencedirect.com/science/article/pii/0883902687900139[6] J. Rowley, “What did VCs study in college?”, TechCrunch, April 15, 2018. Available:https://techcrunch.com/2018/04/15/what
Conference Session
Electrical and Computer Engineering Division (ECE) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Chao Wang, Arizona State University
Tagged Divisions
Electrical and Computer Engineering Division (ECE)
sessions.References[1] M. F. Aburdene and R. J. Kozick, “A project-oriented course in probability and statistics for undergraduateelectrical engineering students,” in Proc. IEEE Frontiers in Education 1997 Conference, pp.598 – 603[2] D. Tougaw, “Integration of active learning exercises into a course on probability and statistics,” in Proc. ASEEAnnual Conference & Exposition, Portland, OR, June, 2005.[3] R. A. Budiman, “Using card games for conditional probability, explaining Gamma vs. Poisson Distributions, andWeighing Central Limit Theory,” in Proc. 123rd ASEE Annual Conference & Exposition, New Orleans, LA, June,2016.[4] J. A. Reising, “Lab experiments in probability,” in Proc. ASEE Annual Conference & Exposition, Portland, OR,June, 2005.[5] Q
Conference Session
Educational Research and Methods Division (ERM) Technical Session 5
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sarah Johnston, Arizona State University; Cody D. Jenkins, Arizona State University; Thien Ngoc Y. Ta, Arizona State University, Polytechnic Campus; Ryan James Milcarek, Arizona State University; Gary Lichtenstein, Arizona State University; Samantha Ruth Brunhaver, Arizona State University, Polytechnic Campus; Karl A. Smith, University of Minnesota, Twin Cities
Tagged Divisions
Educational Research and Methods Division (ERM)
Value Is that what you got? NA Remember What’s the equation? State Understand So would we do the energy equation to find the Q [heat Recognize transfer]? Apply How did you convert to kilowatts? Solve, Sketch Analyze Why can’t we use enthalpy? Differentiate Evaluate Wait, how do we have an adiabatic turbine? Argue, DefendCategorizing questions depends on more than the initial question. A question like, “How did youconvert to kilowatts?” may not appear to be an application level of learning initially. Followingthe question, the study group went
Conference Session
Mathematics Division (MATH) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Caleb Wilson Hendrick, University of Maine; Karissa B Tilbury
Tagged Divisions
Mathematics Division (MATH)
thein-class exercise to assist you in completing this assignment. 1. So far in our modeling journey, we have used modes to perform ‘what if’ kind of experiments. Models can also be used for system identification. For example, if you have measured pressure and flow data you may interpret the physiological status of the cardiovascular system in terms of resistance and capacitance. The model that you completed in class calculate the arterial pressure, P a (t), given measured volumetric flow rate, Q i (t) and parameter values R and C. As a first step, adapt the code to create a plot of the measured P a (t) and modeled P a (t) using the measured data from Example1.txt file (Patient 1). After you adapt the code, alter
Conference Session
Virtual and Augmented Reality Application in Manufacturing Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Devi Kalla, Metropolitan State University of Denver
Tagged Divisions
Manufacturing Division (MFG)
industries are the anticipated factors to trigger the high demand for theDigital Twin platform over the forecast period.References[1] F. Tao, J. Cheng, Q. Qi, M. Zhang, H. Zhang, F. Sui, “Digital twin-driven product design,manufacturing, and service with big data,” Int. J. Adv. Manuf. Technol, vol. 94, pp. 3563–3576,2018.[2] X. Ma, J. Cheng, Q. Qi, F. Tao, “Artificial intelligence enhanced interaction in digital twinshop-floor,” Procedia CIRP, vol. 100, pp. 858–863, 2021.[3] T.K. Ren, Y. Chew, Y.F. Zhang, J.Y.H. Fuh, G.J. Bi, “Thermal field prediction for laserscanning paths in laser aided additive manufacturing by physics-based machine learning,”Comput. Methods Appl. Mech. Eng, vol. 362, 112734, 2020.[4] R. Stark, C. Fresemann, K. Lindow
Conference Session
NEE Technical Session 2 - Educator's experience and perspective
Collection
2024 ASEE Annual Conference & Exposition
Authors
Yuzhang Zang, Western Washington University
Tagged Topics
Diversity
Tagged Divisions
New Engineering Educators Division (NEE)
tutoring and grading to maintain fairness.2.3 Student Engagement and active learning methodsNew faculty member should utilize evidence-based learning approaches to enrich the educationalexperience for students and aim to optimize learning outcomes and foster a more engaging andeffective classroom environment[2][6]. There are several approaches can be used in classes: • Multi-source teaching: Encompass a combination of slides, whiteboard illustrations, short videos, and dedicated Q&A sessions within the lecture. This varied presentation style aims to prevent students from experiencing a lack of concentration. • In-class exerices: Each class can incorporate diverse in-class exercises, including multiple- choice
Conference Session
Engineering Physics and Physics Division (EP2D) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Junior Anthony Bennett, Purdue University; Jason Morphew, Purdue University; Michele W. McColgan, Siena College
Tagged Divisions
Engineering Physics and Physics Division (EP2D)
attention differently in examining physics diagrams? A study of change detection using the flicker technique,” Physical Review Physics Education Research, 11(2), 020104, 2015. https://doi.org/10.1103/PhysRevSTPER.11.020104 [36] J. W. Morphew, E. P. Kuo, Q. King-Shepard, P. Kwon, R. Lin, T. J. Nokes-Malach, and J. P. Mestre, “Seeing and doing are not believing: Investigating when and how conceptual knowledge impinges on observation and recall of physical motion,” Journal of Experimental Psychology: Applied, 27(2), 307-323, 2022. https://doi.org/10.1037/xap0000338[37] M. Perry, R. Breckinridge Church, and S. Goldin-Meadow, “Transitional knowledge in the acquisition of concepts,” Cogn. Dev., vol. 3, no. 4, pp. 359–400, Oct. 1988
Conference Session
NSF Grantees Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Gina Ristani, University of Minnesota, Twin Cities; Keisha Varma, University of Minnesota, Twin Cities; Seth Thompson, University of Minnesota, Twin Cities
Tagged Topics
Diversity, NSF Grantees Poster Session
stem. CBE Life Sciences Education, 15(3), 1–. https://doi.org/10.1187/cbe.16-01-0038Freeman, R., Huang, W. (2014) Collaboration: Strength in diversity. Nature 513(305). https://doi.org/10.1038/513305aMiller, P. H., Rosser, S.V., Benigno, J.P., Zieseniss, M. (2000). A desire to help others:goals of high achieving female science undergraduates. Women Stud Q, 28(1–2), 128–142.National Science Foundation. (2024). Diversity and STEM: Women, Minorities, and Persons with Disabilities. U.S. National Science Foundation. https://ncses.nsf.gov/pubs/nsf23315/faqsOgbogu, U., & Ahmed, N. (2022). Ethical, legal, and social implications (ELSI) research: Methods and approaches. Current Protocols, 2, e354. doi: 10.1002
Conference Session
Virtual Design and Construction (VDC) in Construction Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sooin Kim, Wayne State University
Tagged Divisions
Construction Engineering Division (CONST)
. Zhao, R. R. Issa, and N. Singh, “BIM for improved project communication212 networks: Empirical evidence from email logs,” J. Comput. Civ. Eng., vol. 34, no. 5, p.213 04020027, 2020.214 [4] T. Liu, H.-Y. Chong, W. Zhang, C.-Y. Lee, and X. Tang, “Effects of contractual and215 relational governances on BIM collaboration and implementation for project performance216 improvement,” J. Constr. Eng. Manag., vol. 148, no. 6, p. 04022029, 2022.217 [5] R. Samimpay and E. Saghatforoush, “Benefits of implementing building information218 modeling (BIM) in infrastructure projects,” J. Eng. Proj. Prod. Manag., vol. 10, no. 2, pp.219 123–140, 2020.220 [6] G. Chen, J. Chen, Y. Tang, Y. Ning, and Q. Li, “Collaboration
Conference Session
Advancing Equity in STEM Academia: Insights and Strategies
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sylvia L. Mendez, University of Colorado, Colorado Springs; Jennifer Tygret
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering Division(MIND)
office toolkit. https://www.nationalpostdoc.org/page/npa_toolkitsPattton, M. Q. (2015). Qualitative research and evaluation methods: Integrating theory and practice (4th ed.). Sage.Powell, K. (2015). The future of the postdoc. Nature, 520, 144–147.Proudfoot, S., & Hoffer, T. B. (2016). Science and engineering labor force. In L. Gokhberg, N. Shmatko, & L. Auriol (Eds.), The science and technology labor force: The value of doctorate holders and development of professional careers (pp. 77–119). Springer.Pyhältö, K. (2018). Function of supervisory and researcher community support in PhD and post- PhD trajectories. In E. Bizer, L. Frick, M. Fourie-Malherbe, & K. Pyhältö (Eds.), Spaces, journeys
Conference Session
Computing and Information Technology Division (CIT) Technical Session 3
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sharifa Alghowinem, Massachusetts Institute of Technology; Aikaterini Bagiati, Massachusetts Institute of Technology; Andrés F. Salazar-Gómez, Massachusetts Institute of Technology; Cynthia Breazeal, Massachusetts Institute of Technology
Tagged Divisions
Computing and Information Technology Division (CIT)
tivity1 Perception Supervised Learning Interactive exercises, hands-on drone model development activity Conversational AI Programming social robot, dialogue NLP, intent recognition flow training Bias and Ethical Implications Case studies, small group discussions Bias in ML, ethical principles Reinforcement Learning Interactive robot activity, Q-learning in- Robot behavior, path following Machine troduction2 Behavior Deep Reinforcement Learning Hands-on drone
Conference Session
Civil Engineering Division (CIVIL) Technical Session - Effective Teaching 4
Collection
2024 ASEE Annual Conference & Exposition
Authors
Cade Person, Michigan State University; Christiana Kiesling, Michigan State University; George H. Berghorn, Michigan State University
Tagged Divisions
Civil Engineering Division (CIVIL)
acceptance level,” Cleaner Engineering and Technology, vol. 1, p. 100007, Dec. 2020. [Online]. Available: https://doi.org/10.1016/j.clet.2020.100007. [Accessed June 5, 2023].[3] D. Zhuocheng, Q. Huang, and Q. Zhang, “Life cycle assessment of mass timber construction: A review,” Building and Environment, vol. 221, p. 109320, Aug. 2022, [Online]. Available: https://doi.org/10.1016/j.buildenv.2022.109320. [Accessed Oct. 5, 2023].[4] M. F. Laguarda Mallo and O. Espinoza, “Awareness, perceptions and willingness to adopt cross-laminated timber by the architecture community in the United States,” ScienceDirect,” Journal of Cleaner Production, vol. 94, pp. 198–210, May 2015. [Online]. Available: ScienceDirect
Conference Session
Engineering Management Division (EMD) Technical Session 3
Collection
2024 ASEE Annual Conference & Exposition
Authors
Richard (Rick) Warren Blank, Johns Hopkins Engineering for Professionals; Stanislaw Tarchalski, The Johns Hopkins University
Tagged Divisions
Engineering Management Division (EMD)
technical executives, Board of Directors level presentation, feedback, and an executive round table Q&A discussion. Students join the instructors and visiting executives for an in-person, intensive, day-long meeting to present their technical executive strategy and implementation plan to a “board of directors” role-played by four “visiting executives” who hold senior leadership positions in their respective companies. In the first deliveries of this course both teams were prepared to brief the visiting executives, but because of time-constraints only one team was selected by the flip of a coin. The presenting team, with visiting executive coaching allowed during the presentations, was expected to apply critical thinking
Conference Session
Teaching with ML and Generative AI
Collection
2024 ASEE Annual Conference & Exposition
Authors
Han Kyul Kim, University of Southern California; Aleyeh Roknaldin, University of Southern California; Shriniwas Prakash Nayak, University of Southern California; Xiaoci Zhang, University of Southern California; Muyao Yang, University of Southern California; Marlon Twyman, University of Southern California; Angel Hsing-Chi Hwang, Cornell University; Stephen Lu, University of Southern California
Tagged Divisions
Computers in Education Division (COED)
. Thurston, R. Thielstrom, T. Fong, Q. Pham, and M. Scheutz, “Toward genuine robot teammates: Improving human-robot team performance using robot shared mental models.” in Aamas, 2020, pp. 429–437.[16] K. Bezrukova, T. L. Griffith, C. Spell, V. Rice Jr, and H. E. Yang, “Artificial intelligence and groups: Effects of attitudes and discretion on collaboration,” Group & Organization Management, vol. 48, no. 2, pp. 629–670, 2023.[17] L. Giray, J. Jacob, and D. L. Gumalin, “Strengths, weaknesses, opportunities, and threats of using chatgpt in scientific research,” International Journal, vol. 7, no. 1, pp. 40–58, 2024.[18] L. Memmert and N. Tavanapour, “Towards human-ai-collaboration in brainstorming: Empirical insights into the
Conference Session
Charting Inclusivity: Advancing Diversity, Equity, and Technology in Engineering and Computing Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Fatima Glovena Fairfax, Duke University; Jabari Kwesi, Duke University; Elyse McFalls, Duke University; Reagan Lenora Razon, Duke University; Alexandra Thursland, Duke University; Crystal E. Peoples, Duke University; Shaundra Bryant Daily, Duke University; Alicia Nicki Washington, Duke University; Eduardo Bonilla-Silva, Duke University; Brean Elizabeth Prefontaine, Duke University
Tagged Topics
Diversity
Tagged Divisions
Culture & Social Justice in Education Division (EQUITY), Equity
-Achieving Asian and Black STEM Students,” AERA Open, vol. 4, no. 4, p. 2332858418816658, Oct. 2018, doi: 10.1177/2332858418816658.[13] A. Master, S. Cheryan, and A. N. Meltzoff, “Computing whether she belongs: Stereotypes undermine girls’ interest and sense of belonging in computer science.,” J. Educ. Psychol., vol. 108, no. 3, p. 424, 2016.[14] U. Nguyen and C. Riegle-Crumb, “Who is a scientist? The relationship between counter- stereotypical beliefs about scientists and the STEM major intentions of Black and Latinx male and female students,” Int. J. STEM Educ., vol. 8, no. 1, pp. 1–18, 2021.[15] A. N. Washington, L. Burge, M. Mejias, K. Jean-Pierre, and Q. Knox, “Bridging the Divide: Developing Culturally-Responsive Curriculum
Conference Session
Educational Research and Methods Division (ERM) Technical Session 12
Collection
2024 ASEE Annual Conference & Exposition
Authors
Xiao Ge, Stanford University; Mark Schar, Stanford University; Helen L. Chen, Stanford University; George Toye; Sheri D. Sheppard, Stanford University
Tagged Divisions
Educational Research and Methods Division (ERM)
. Hood, and D. Harkness, "WIP: Methodological considerations forconstructing nontraditional student personas with scenarios from online forum usage data incalculus," in ASEE annual conference proceedings, January 2017.[10] M. Scheidt et al., "Engineering students' noncognitive and affective factors: Groupdifferences from cluster analysis," Journal of Engineering Education, vol. 110, no. 2, pp.343-370, February 2021.[11] J. Chasmar and K. M. Ehlert, "Cluster analysis methods and future time perspective groupsof second-year engineering students in a major-required course," in 2018 ASEE AnnualConference & Exposition, June 2018.[12] Q. Xu, C. Ding, J. Liu, and B. Luo, "PCA-guided search for k-means," Pattern RecognitionLetters, vol. 54, pp. 50
Conference Session
Equity and Belonging
Collection
2024 ASEE Annual Conference & Exposition
Authors
Kaitlyn Anne Thomas, University of Nevada, Reno; Kelly J Cross, Georgia Institute of Technology; Isabel Anne Boyd, University of Tennessee, Knoxville; Marie C. Paretti, Virginia Polytechnic Institute and State University
Tagged Topics
Diversity
Tagged Divisions
Equity, Culture & Social Justice in Education Division (EQUITY), Liberal Education/Engineering & Society Division (LEES)
Conference Session
Computing and Information Technology Division (CIT) Technical Session 7
Collection
2024 ASEE Annual Conference & Exposition
Authors
Tingjun Lei, Mississippi State University; Timothy Sellers, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan, Tainan National University of the Arts ; Zhuming Bi, Purdue University, Fort Wayne
Tagged Divisions
Computing and Information Technology Division (CIT)
knowledge by integratingtechnological tools with pedagogical strategies. Flipped learning (FL) reverses traditionalteaching methods by providing course materials on datapath design beforehand, fostering active,self-directed learning in the classroom. The pedagogy is enriched with structured practiceexercises, enhancing students’ understanding of datapath design, along with theirproblem-solving, analytical, and critical thinking skills. The effectiveness of this method isvalidated through various assessments, including homework, exams, Q&A sessions, and studentfeedback, with a positive comparison to the instructor’s previous teaching experiences. Thisholistic evaluation confirms the efficacy of this innovative approach in improving the
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)
] J. Saldaña, The Coding Manual for Qualitative Researchers. SAGE Publications, 2021.[27] M. B. Miles, A. M. Huberman, and J. Saldana, Qualitative Data Analysis: A Methods Sourcebook. SAGE Publications, 2018.[28] J. W. Creswell and C. N. Poth, Qualitative Inquiry and Research Design: Choosing Among Five Approaches, 4th ed. SAGE, 2018.[29] OpenAI, “GPT-4 Technical Report.” arXiv, Mar. 27, 2023. doi: 10.48550/arXiv.2303.08774.[30] A. Q. Jiang et al., “Mixtral of Experts.” arXiv, Jan. 08, 2024. doi: 10.48550/arXiv.2401.04088.[31] L. O. P. Rivard, “A review of writing to learn in science: Implications for practice and research,” J. Res. Sci. Teach., vol. 31, no. 9, pp. 969–983, 1994, doi: 10.1002/tea