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Displaying results 121 - 150 of 475 in total
Collection
2023 PSW
Authors
Ken-ichi Nomura; Pratibha Dev; Aiichiro Nakano; Priya Vashishta; Tao Wei
layered materials: Feedforward neural network classifies metallic andsemiconducting phases as well as defects. MISTIQS (https://github.com/USCCACS/MISTIQS): Quantum many-body dynamicssimulations on emerging quantum computers such as IBM Q and Rigetti Aspen [11, 12, 35, 36].We will re-architect MISTIQS in a way easily extensible to other problems and quantumlanguages/circuits. Quantum computing will be mirrored by exascale simulations on an exaflopcomputer to assess quantum supremacy. We are developing: (1) AI-inspired domain-specificquantum compilers to address the fundamental limitation of the noisy intermediate-scalequantum (NISQ) computing technology—environmental noise—by reducing the size and depthof quantum circuits, thereby extending
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
Conference Session
Computing and Information Technology Division (CIT) Technical Session 6
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sreekanth Gopi, Kennesaw State University; Nasrin Dehbozorgi, Kennesaw State University
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
operatewith high coordination and efficiency, leading to increased emotional stability and resilience to stress. The integrationof these diverse HRV measures offers a robust tool for monitoring cardiac health, stress levels, and autonomicfunction [16]. HRV Metric Formula Heart Rate Pulse({IBIi }) = 1 PN60 N i=1 IBIi q PN 1 SDNN SDNN({IBIi }) = N −1 i=1 (IBIi − IBI)2
Conference Session
Computing and Information Technology Division (CIT) Technical Session 7
Collection
2024 ASEE Annual Conference & Exposition
Authors
Jacquelyn Williams Trost, North Carolina Agricultural and Technical State University
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
Conference Session
Industrial Engineering Division (IND) Technical Session 4
Collection
2024 ASEE Annual Conference & Exposition
Authors
Israa Azzam, Purdue University, West Lafayette; Farid Breidi, Purdue University, West Lafayette; Faisal Aqlan, University of Louisville; Jose M Garcia, Purdue University; Paul Asunda, Purdue University, West Lafayette
Tagged Divisions
Industrial Engineering Division (IND)
Conference Session
MECH - Technical Session 1: Foundations of Engineering Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Joseph J. Rencis P.E., University of Texas at Dallas; Hartley T. Grandin Jr., Worcester Polytechnic Institute
Tagged Divisions
Mechanical Engineering Division (MECH)
Conference Session
Cybersecurity Topics
Collection
2024 ASEE Annual Conference & Exposition
Authors
Anyi Liu, Oakland University; Bruce R Maxim, University of Michigan, Dearborn; Xiaohong Yuan, North Carolina A&T State University; Yuan Cheng, Grand Valley State University
Tagged Topics
Diversity
Tagged Divisions
Computers in Education Division (COED)
, demonstrates technol- ogy and tools, identifies common pitfalls, and articulates deliverables. As illustrated in Figure 8b, 76.5% of the students from both institutions positively confirm the effectiveness of presentations and videos. Finally, to address students’ concerns about timely feedback, we use the chat feature of Slack chatbot 36 and Zoom 37 to facilitate Q&A sessions. Because of these efforts, we kept students’ satisfaction consistent during and after the Pandemic. 7 Reflections and Future work After conducting a 5-year pedagogic project, we have gained valuable insights from both students and faculty in cybersecurity. In the following, we have compiled a list of lessons learned and recommendations for researchers and educators.• Does
Conference Session
Pre-College Engineering Education Division (PCEE) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Joanna Li; Haifeng Wang, Penn State University
Tagged Divisions
Pre-College Engineering Education Division (PCEE)
, Goldman E, Eagle KA, Crawford TC. , "Pacemaker recycling: A notion whose time has come," World J Cardiol, vol. 9(4), pp. 296-303, 2017.[12] M. Landolina et al., "The economic impact of battery longevity in implantable cardioverter-defibrillators for cardiac resynchronization therapy: the hospital and healthcare system perspectives," EP Europace, vol. 19, no. 8, pp. 1349-1356, 2016.[13] Y. Quan, X. Wu, S. Zhu, X. Zeng, Z. Zeng, and Q. Zheng, "Triboelectric nanogenerators for clinical diagnosis and therapy: A report of recent progress," Medicine in Novel Technology and Devices, vol. 16, p. 100195, 2022/12/01/ 2022.[14] H.-J. Yoon and S.-W. Kim, "Nanogenerators to Power Implantable Medical Systems," Joule, vol. 4
Conference Session
NSF Grantees Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Andrew Katz, Virginia Polytechnic Institute and State University; Marie C. Paretti, Virginia Polytechnic Institute and State University; Tripp Shealy, Virginia Polytechnic Institute and State University; Felicity Bilow, Virginia Polytechnic Institute and State University
Tagged Topics
NSF Grantees Poster Session
5 shows the frequency of human rating scores for the mental model dimensions, andFigure 6 shows the frequency of human rating scores for the mental model uses. The color ineach plot corresponds to temperature values. The rows of plots correspond to the model’srankings of the questions (i.e., top choice, second choice, and third choice). For example, “QRanking 1” was all the questions that the model ranked highest, “Q Ranking 2” was all thequestions that the model ranked second highest, and “Q Ranking 3” was all the questions rankedthird highest. Looking at the questions in this way illustrates our main findings. First, themodel’s rankings were not necessarily aligned with the human’s rankings. Second, thetemperature did not produce any
Conference Session
Equity, Culture & Social Justice in Education Division (EQUITY) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
YaXuan Wen, Sino-Danish College, University of Chinese Academy of Sciences; Yanru Xu; Ji’an Liu
Tagged Topics
Diversity
Tagged Divisions
Culture & Social Justice in Education Division (EQUITY), Equity
note on higher education," Cambridge Journal of Education, vol. 41, no. 1, pp. 23-36, 2011.[5] A. Sen, Equality of what? In: McMurrin S Tanner Lectures on Human Values. Cambridge: Cambridge University Press, 1980.[6] A. Sen, Development as Freedom. Oxford: Oxford University Press, 1999.[7] D. Crocker and I. Robeyns, Capability and Agency. Cambridge: Cambridge University Press, 2009.[8] M. Walker, "Imagining STEM higher education futures: advancing human well-being," Higher education, vol. 70, no. 3, pp. 417-425, 2015.[9] Q. Liu, D. Turner, and X. Jing, "The “Double First-Class Initiative” in China: Background, Implementation, and Potential Problems," Beijing International Review of Education, vol. 1, pp
Conference Session
Biomedical Engineering Division (BED) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Anthony E. Felder, The University of Illinois at Chicago; Michael Gordon Browne, The University of Illinois at Chicago; Miiri Kotche, The University of Illinois at Chicago
Tagged Divisions
Biomedical Engineering Division (BED)
not issued in CIP, but there are several means for program faculty to assess studentcontent mastery. Weekly presentations are the most frequent assessments, as students applyprinciples and techniques from the previous workshop in their clinical immersion. Studentspresent their primary research, secondary research, and synthesized conclusions from each weekof learning. Live Q/A with the entire cohort at the end of each presentation is a useful means toestablish appropriate standards among all teams. Department clinicians are encouraged to attendthe final presentations and to give feedback on the work presented by teams, and to supplement itwith their own experience. The final report offers the definitive assessment of student learninggiven it
Conference Session
Civil Engineering Division (CIVIL) Poster Session
Collection
2024 ASEE Annual Conference & Exposition
Authors
Ghina Absi, Vanderbilt University; Emily Williams Van Schaack, Vanderbilt University
Tagged Topics
Diversity
Tagged Divisions
Civil Engineering Division (CIVIL)
50-min lectures had to be freed. In the past, three reviewsessions were done before the midterms, and two project description sessions were needed forthe smaller assigned projects. The review sessions were moved to out-of-class Q&A sessions,with the opportunity to watch previously recorded review sessions asynchronously. The projectdescription lectures were not needed anymore. The final (6th) lab session was used to test thetruss and was added to the class time by moving the third midterm to the final exam slot afterclasses ended. Figure 3: Student welding components of their prototype. Figure 4: Student welding the prototype truss connections behind a protective screen. Figure
Conference Session
NSF Grantees Poster Session
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
NSF Grantees Poster Session
Analysis: A Methods Sourcebook. SAGE Publications, 2018.[29] J. Saldaña, The Coding Manual for Qualitative Researchers. SAGE Publications, 2021.[30] J. W. Creswell, Qualitative inquiry and research design: choosing among five approaches, 3rd ed. Los Angeles: SAGE Publications, 2013.[31] C. Raffel et al., “Exploring the limits of transfer learning with a unified Text-to-Text Transformer.” arXiv, Jul. 28, 2020. Accessed: Apr. 03, 2023. [Online]. Available: http://arxiv.org/abs/1910.10683[32] OpenAI, “GPT-4 Technical Report.” arXiv, Mar. 27, 2023. doi: 10.48550/arXiv.2303.08774.[33] A. Q. Jiang et al., “Mixtral of Experts.” arXiv, Jan. 08, 2024. doi: 10.48550/arXiv.2401.04088.[34] “AI Coding powered by
Conference Session
Computing and Information Technology Division (CIT) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Shamima Mithun, Indiana University-Purdue University, Indianapolis; Xiao Luo, Oklahoma State University
Tagged Topics
Diversity
Tagged Divisions
Computing and Information Technology Division (CIT)
career"?: In thisdiversity, Q&A session, mentees were encouraged to ask questions about computing careerequity, and pathways, including the available career opportunities, skillsets required, internshipinclusion in tips, and other related topics. Mentors shared their experience and their opinions oncomputing these topics. (Focus: objective v)iii) develop Mentoring Session 3 - Develop strategies to overcome barriers to reach goals: This wasstrategies to a Q&A session as well where mentees were able to ask questions related to theirbe successful perceived obstacles in computing careers, such as low sense of belonging & self-in computing efficacy, preparedness, academic struggle including
Conference Session
Multidisciplinary Engineering Division (MULTI) Technical Session 10
Collection
2024 ASEE Annual Conference & Exposition
Authors
Yu Zhang, Zhejiang University; Xiaoning Zhang, Zhejiang University; Tuoyu Li, Institute of China’s Science, Technology and Education Policy, Zhejiang University; Min Ye, Zhejiang University
Tagged Divisions
Multidisciplinary Engineering Division (MULTI)
: Topic Modeling and Knowledge Mapping," Educational Technology & Society, vol.24, no. 1, pp. 205–222, 2021.[12] T. K. F. Chiu, H. Meng, C.-S. Chai, I. King, S. Wong, and Y. Yam, "Creation andEvaluation of a Pretertiary Artificial Intelligence (AI) Curriculum," IEEE Transactions onEducation, vol. 65, no. 1, pp. 30–39, 2022, doi: 10.1109/TE.2021.3085878[13] F. Wu, Y. Yang, and Q. He, "Thinking about the curriculum of artificial intelligenceundergraduate specialty: clarifying the connotation, promoting the intersection, and enablingthe application," China University Teaching, no. 2, pp. 14-19, 2019. (in Chinese)[14] D. Hu and Ji Xuan, "Innovation Path and Evolution Mechanism of AI Personal Trainingin US Research Universities," Journal of
Conference Session
MECH - Technical Session 5: Virtual Learning and Technology Integration
Collection
2024 ASEE Annual Conference & Exposition
Authors
Amir Karimi, The University of Texas at San Antonio; Randall D. Manteufel, The University of Texas at San Antonio
Tagged Divisions
Mechanical Engineering Division (MECH)
balance, 1st law of thermodynamics andsecond law of thermodynamics for control volumes. Please use these equations to answerquestions 15 through 20. dmcv =  m i −  m e (A) dt i edEcv  V2   V2  = Q cv − W cv +  m i  hi + i + gzi  −  m e  he + e + gze  (B) dt i  2  e  2  •dS cv Qj • • • = +  mi si −  me se +  cv (C) dt j Tj i e15. (5 points)Consider the schematic drawing of a general control volume shown bellow. Place mcv, Ecv, Scv
Collection
2024 ASEE Midwest Section Conference
Authors
Marlon D. Matilla
, 2024]. © American Society for Engineering Education, 2024 2024 ASEE Midwest Section Conference[16] P. R. Taylor, L. M. Jackson, and S. K. Williams, "Educational Interventions for Improving Nutritional Status in School-aged Children," Education Sciences, vol. 13, no. 10, p. 988, 2023. [Online]. Available: https://www.mdpi.com/2227-7102/13/10/988. [Accessed: Mar. 5, 2024].[17] T. Q. Li, J. S. Huang, and M. Y. Chen, "Effects of a Nutritional Education Program on Diet Quality and Weight Loss in Adolescents," PLOS ONE, vol. 18, no. 11, p. e0294894, 2023. [Online]. Available: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0294894
Conference Session
Meet at Springfield Middle: Where Engineering Meets Education, Woozle Wuzzle!
Collection
2024 ASEE Annual Conference & Exposition
Authors
Zeynep Gonca Akdemir, Purdue University; Muhsin Menekse, Purdue University; Erica W. Carlson, Purdue University; Nicholas Dang, Purdue University; Mahdi Hosseini, Northwestern University; Dongyang Li, Purdue University
Tagged Divisions
Pre-College Engineering Education Division (PCEE)
study were asked toadminister the pre-assessment and pre-engagement survey before the unit implementation began,and they administered the post-assessment and post-engagement survey immediately after theunit implementation ended. Pre- and post-mean scores were calculated for both measures, andpaired-samples t-tests were conducted to determine if the differences were statisticallysignificant. The analyses were performed using R Studio and IBM SPSS Statistics 28.0.Statistical assumptions were assessed for data normality through skewness and kurtosis values,as well as Q-Q plots. Skewness values for all variables indicated moderate to low skewness,falling between -1 and 1. Similarly, kurtosis ranged between -2 to +2, meeting acceptable criteriafor
Conference Session
MECH - Technical Session 4: Innovation in Engineering Education Methods
Collection
2024 ASEE Annual Conference & Exposition
Authors
Diane L Peters P.E., Kettering University
Tagged Divisions
Mechanical Engineering Division (MECH)
disciplinary cultures from the student perspective,” in 2018 ASEE Annual Conference & Exposition, 2018. [5] B. Batson, “’Other’reasons to invert a class,” in 2016 ASEE Annual Conference & Exposition, 2016. [6] ——, “Introducing metacognition to sophomores and juniors and its effect on academic performance,” in 2018 ASEE Annual Conference & Exposition, 2018. [7] M. A. McVey, C. W. Luchies, and A. J. Villicana, “Impact of high-performing teams on student learning,” in 2017 ASEE Annual Conference & Exposition, 2017. [8] R. D. Manteufel, “Electronic technology used in engineering thermodynamics,” in 2006 GSW, 2006. [9] Q. Dunsworth and Y. Wu, “Effective review of prerequisites: Using videos to flip the reviewing process in a
Conference Session
Diverse Pathways in Engineering Education: Exploring Experiences and Opportunities
Collection
2024 ASEE Annual Conference & Exposition
Authors
Julie M. Smith, CSEdResearch.org; Jordan Williamson
Tagged Topics
Diversity
Tagged Divisions
Minorities in Engineering Division(MIND)
Conference and Exposition, Conference Proceedings 2017, 2017.[47] Nite, S.; Allen, G.; Bicer, A.; Morgan, J.; Warren, V.; Barroso, L. College freshman beliefs about studying and learning mathematics: Results from a summer engineering calculus bridge program. ASEE Annual Conference and Exposition, Conference Proceedings 2017, 2017.[48] Lee, W.; Brozina, C.; Amelink, C.; Jones, B. Motivating incoming engineering students with diverse backgrounds: Assessing a summer bridge program’s impact on academic motivation. Journal of Women and Minorities in Science and Engineering 2017, 23, 121–145.[49] Whalin, R.; Pang, Q.; Lowe, L.; Latham, J. Assessment of a summer bridge program: Seven years and counting. ASEE Annual Conference and
Conference Session
Broader Approaches to Engineering Ethics Education
Collection
2024 ASEE Annual Conference & Exposition
Authors
Bono Po-Jen Shih, Pennsylvania State University; Benjamin Daniel Chambers, Virginia Polytechnic Institute and State University; Matthew James P.E., Virginia Polytechnic Institute and State University
Tagged Divisions
Engineering Ethics Division (ETHICS)
. Strobel, and A. O. Brightman, "The Development of Empathic Perspective- Taking in an Engineering Ethics Course," Journal of Engineering Education, vol. 106, no. 4, pp. 534-563, 2017.[20] D. A. Martin, E. Conlon, and B. Bowe, "Using Case Studies in Engineering Ethics Education: The Case for Immersive Scenarios through Stakeholder Engagement and Real Life Data," Australasian Journal of Engineering Education, vol. 26, no. 1, pp. 47-63, 2021.[21] N. M. Smith, Q. Zhu, J. M. Smith, and C. Mitcham, "Enhancing Engineering Ethics: Role Ethics and Corporate Social Responsibility," Science and Engineering Ethics, vol. 27, no. 3, 2021.[22] K. Lewis et al., "Teaching the Global, Economic, Environmental, and