Education: An Afterword to the Special Issue. Journal of Pre-College Engineering Education Research(J-PEER), 12(2), Article 12.https://doi.org/10.7771/2157-9288.1387[3] Alemdar, M., Moore, R., & Ehsan, H. (2021). Call for Papers: A Special Issue of the Journal of Pre- CollegeEngineering Education Research on ‘‘The Impact of Covid-19 on Pre-College Engineering Education’’. Journal ofPre-College Engineering Education Research (J-PEER), 11(2), 1.[4] Ribeiro, L. M., Cunha, R. S., Silva, M. C. A. E., Carvalho, M., & Vital, M. L. (2021). Parental involvementduring pandemic times: Challenges and opportunities. Education Sciences, 11(6), 302.[5] Simpson, A., & Knox, P. N. (2022). Children’s Engineering Identity Development Within an At
national and international conferences, scientific journals, and books. Stan serves as a reviewer and a member of program committees for a number of national and international conferences. During his academic career, Stan received over seven million dollars in funding from private and federal sources. ©American Society for Engineering Education, 2023 Using Agile Principles for Cohort Building in a Graduate Software Engineering ProgramAbstractThis report describes an approach to building a cohort of students in a graduate softwareengineering program supported by the Scholarships in Science, Technology, Engineering, andMathematics (S-STEM) Program of the National
the Science and Engineering Road Show mobile lab and creates programs for local youth to educate and entertain with hands-on projects to challenge students’ engineering and science skills.Tala Katbeh, Texas A&M University at Qatar Tala Katbeh is a STEM Instructor and Program Coordinator at Texas A&M University at Qatar (TAMUQ) where she applies her enthusiasm for engineering to create curricula and engineering courses for school students. Katbeh is currently also pursuing her PhD at Texas A&M University, having graduated from TAMUQ with a BSc and MSc both in chemical engineering.Hassan Said Bazzi, Texas A&M University at Qatar Dr. Hassan S. Bazzi is the senior associate dean for research and
demonstration on gas-holdup parameter4. References[1] T. Kluyver et al., “Jupyter Notebooks—a publishing format for reproducible computational workflows,” Positioning and Power in Academic Publishing: Players, Agents and Agendas - Proceedings of the 20th International Conference on Electronic Publishing, ELPUB 2016, pp. 87–90, 2016, doi: 10.3233/978-1- 61499-649-1-87.[2] S. Palkovits, “A Primer about Machine Learning in Catalysis – A Tutorial with Code,” ChemCatChem, vol. 12, no. 16, pp. 3995–4008, 2020, doi: 10.1002/cctc.202000234.[3] P. M. Forster et al., “Current and future global climate impacts resulting from COVID-19,” Nat Clim Chang, vol. 10, no. 10, pp. 913–919, 2020, doi: 10.1038/s41558-020-0883-0.[4
/TheLinkWing.pdf. [Accessed Dec. 26, 2022][2] E. Beheshti, D. Weintrop, H. Swanson, K. Orton, M. Horn, K. Jona, and U. Wilensky, “Computational thinking in practice: How STEM professionals use CT in their work,” in American Education Research Association Annual Meeting, San Antonio, TX, Apr., 2017.[3] J. Malyn-Smith, I. Lee, F. Martin, S. Grover, M. Evans, and S. Pillai, “Developing a framework for computational thinking from a disciplinary perspective, “ in Proceedings of the International Conference on Computational Thinking Education, International Conference on Computational Thinking Education, Hong Kong, HK, Jun., 2018.[4] L. Hood and L. Rowen, “The human genome project: big science transforms
students who took the survey were also satisfied with the program as indicatedby the 77% of survey respondents who agreed or strongly agreed that they would apply to be inthe ImageSTEAM program again. More than half of the students agreed or strongly agreed theywould recommend someone like them to attend the ImageSTEAM program (62%).AI workshops, in this paper, are viewed as problem-solving events using critical thinking toexplore ways and methods to improve learning using available tools. A comprehensive paperwill be made, when the third and final workshop is made in summer 2023. Lessons learned fromthe workshop experiences will be shared with the community.Acknowledgement: The authors thank the U. S. National Science Foundation for sponsoring
. Expansion to other campuses and disciplines, using a self-sustaining model such as theone employed in Supplemental Instruction may ensure that the value WATTS provides is able toendure.AcknowledgementThe authors are grateful to the National Science Foundation for their generous funding of thiseffort at PSB, IUPUI, and UTRGV. The authors are also grateful for the lasting contributions ofMr. Jon Meckley, who was not only a key contributor to this research effort but also a kind,witty, and caring human being. He will be greatly missed.References[1] S. Wu, S. Zha, and S. Mattson, “Integrating team-based learning modules to improve civil engineering students’ technical writing skills,” Journal of Civil Engineering Education 146, no. 3, 2020.[2
work supported by the National Science Foundation under AwardNumbers 2114241 and 2114242. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.ReferencesBartlett, R. (2013). Playing with meaning: using cartoons to disseminate research findings. Qualitative Research, 13(2), 214-227.Berhane, B., Secules, S., & Onuma, F. (2020). Learning While Black: Identity Formation and Experience for Five Black Men Who Transferred Into Engineering Undergraduate Programs. Journal of Women and Minorities in Science and Engineering, 26(2), 93–124. https://doi.org/10.1615/JWomenMinorScienEng
strategies for creating equitable access to the discipline. Byexamining how Western Tech Scholars and their peers become cybersecurity professionals, thispaper provides information about “what works” in influencing a diverse body of students tostudy cybersecurity in institutions that are minority serving.3 MethodologyThis qualitative case study considers the Western Tech S-STEM program as the bounded system[15] under investigation. This section describes the data sources used in this study as well as thedata analysis strategies used. IRB was obtained before gathering data.3.1 Data CollectionData sources for this study include the following: a) Annual interviews with Western TechScholars, occurring between May and October from 2019 to 2021, b
learn to see individualstructures or features, and to ask what function that structure or feature accomplishes and whythat is important to the organism. When students are practiced in this, they “learn to see theworld through new eyes” – the world around them is no longer part of the background of theirlives, but rather is now filled with potential solutions to challenging design problems [16].Curriculum BID specific ActivitiesSeveral standard lessons and activities were used for teaching engineering, brainstorming forideas, and as empathy building exercises for problem description. For example, we useSCAMPER, a semi-structured approach to ideation and improving ideas. The categories are, (S)Substitute, (C) Combine, (A) Adapt, (M) Modify
, M. Henderson, E. Creely, A. A. Carvalho, M. Cernochova, D. Dash, T. Davisand P. Mishra, "Creativity and risk-taking in teaching and learning settings: Insights from sixinternational narratives," International Journal of Educational Research Open, vol. 2, no. 2, pp.1-11, 2021.[6] N.R. Kuncel, S. Hezlett, and D. Ones, "Academic performance, career potential, creativity,and job performance: Can one construct predict them all?," J. Educ. Psychol., vol. 102, no. 3, pp.599-616, Aug. 2010.[7] P. C. Wankat, R. M. Felder, K. A. Smith and F. S. Oreovicz, "The scholarship of teachingand learning in engineering," in Disciplinary Styles in the Scholarship of Teaching andLearning: Exploring Common Ground, vol. 1, Indiana University Press, 2002, pp. 217
engineering, many of the URM studentsstruggle to complete their degree due to various factors: inadequate academic preparation,insufficient awareness career options, lack of necessary financial, academic, social, and culturalsupport for success, and low levels of self-efficacy.To address these barriers and build capacity for student success, SFSU has partnered with twolocal HSI community colleges, Skyline College and Cañada College. This collaboration involvesdeveloping and implementing several strategies through the Strengthening Student Motivationand Resilience through Research and Advising (S-SMART) project, which is funded by theNational Science Foundation's HSI Improving Undergraduate STEM Education (IUSE) program.One of the strategies developed
classified below as subtopics: 1. Established identity in CS with themselves and others. 2. Personal experiences and challenges in CS that are gender and/or race related. 3. Psycho-social characteristics experienced. 4. Personal feedback/recommendations for promoting equity, inclusion, and representation of black women in CS.Each subtopic and corresponding findings are discussed below.4.1 Established Identity in CS with Themselves & OthersFindings for this classification were based on five key questions that were asked during the focusgroup sessions: Q1: Do the participant(s) exhibit an identity towards computer science? Q2: Do the participant(s) consider themselves as computer scientists? Q3: Are they proud to be
Learning Community. He has offered a variety of high-school and first-year introductory and professional development courses over the last two decades. ©American Society for Engineering Education, 2023 Student Persistence Factors for Engineering and Computing Undergraduates Robert Petrulis2, Sona Gholizadeh1 , Ed Gatzke1 (1) University of South Carolina, Columbia, SC (2) EPRE Consulting, Columbia, SCAbstractThe research and evaluation team of an S-STEM project at a large, research-intensiveSoutheastern public university conducted a cross-sectional survey as a first step to comparefactors which may influence undergraduate student persistence in
when accomplishing this purpose. Specifically, a largeamount of information is considered indirect knowledge, or knowledge only reasonablyaccessible to a learner through social contact [1]. Further, within the learning context,interactions are adapted reciprocally by the learning environment and learner [2]. These andrelated foundations indicate that understanding the social aspect(s) of the learning environment isessential for understanding and improving learning.To identify and optimize social variables related to student learning, recent engineeringeducation literature shows a growing awareness of and interest in peer support. Theseobservations of student interactions and outcomes indicate improved learning, motivation, andself-efficacy due
other spaces.References[1] N. Hegarty, “Where we are now—The presence and importance of international students to universities in the United States,” J. Int. Stud., vol. 4, pp. 223–235, 2014.[2] E. Duffin, International students in the U.S. 2004-2022, by academic level. Statista, 2023. [Online]. Available: https://www.statista.com/statistics/237689/international-students-in-the-us-by-academic-leve l/[3] J. Trapani and K. Hale, Higher education in science and engineering: International S&E higher education. National Science Board, 2022. [Online]. Available: https://ncses.nsf.gov/pubs/nsb20223/international-s-e-higher-education[4] C. Collins and A. Thompson, “International students and scholars,” Purdue University
system users andother practitioners. For example, the LSRM may enhance the CATME system by accuratelymodeling longitudinal social relations data, and thereby improving the evaluation of teamdynamics and identifying potential areas for improvement. Ultimately, this may help instructorsbetter support their students' collaborative learning experiences and foster a more inclusivelearning environment. ReferencesAgrawal, A. K., & Harrington-Hurd, S. (2016). Preparing next generation graduates for a global engineering workforce: Insights from tomorrow's engineers. Journal of Engineering Education Transformations, 29(4), 5-12.Alsharif, A., Katz, A., Knight, D., & Alatwah, S. (2022). Using
Paper ID #38852Applications of Teams and Stories: Augmenting the Development ofEntrepreneurial Mindset in EngineersDr. Ellen Zerbe, Georgia Institute of TechnologyDr. Adjo A. Amekudzi-Kennedy, Georgia Institute of Technology Professor Adjo Amekudzi-Kennedyˆa C™s research, teaching and professional activities focus on civil infrastructure decision making to promote sustainable development. She studies complex real-world sys- tems and develops infrastructure decision support systemDr. Kevin Haas, Georgia Institute of Technology Associate Chair of Undergraduate Programs, School of Civil and Environmental EngineeringDr. Robert
complicated impacts of learning technologies and design on K-12 STEM curriculum, pedagogy, and institutional policies in the Philippines and Canada.Prof. Andre Phillion, McMaster University AndrA©˜ Phillion is an Associate Professor in the Department of Materials Science and Engineering and Director of the facultyˆa C™s Experiential Learning Office at McMaster University, Hamilton, Canada. His research interests focus on mathematical modelling ©American Society for Engineering Education, 2023 First-Year Students in Experiential Learning in Engineering Education: A Systematic Literature ReviewDr. Gerald TembrevillaGerald Tembrevilla is an Assistant Professor at Mount Saint Vincent
, meaningful connections to existingstructures in the community will be leveraged to continue research and outreach. AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1943098. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. References[1] C. A. Carrico, “Voices in the Mountains: A Qualitative Study Exploring Factors Influencing Appalachian High School Students’ Engineering Career Goals,” 2013.[2] S. Ardoin, College aspirations and access in working-class rural communities
projects. The preliminary learning outcomes and framework presented in this studycan guide students through multiple stages where incorporating contextual factors is relevant andprovide prompts for reflection and methods to do so iteratively throughout their designprocesses. The findings from this work have implications for engineering design pedagogy and,ultimately, the potential to improve engineering graduates’ abilities to develop contextuallysuitable solutions.References[1] C. B. Aranda-Jan, S. Jagtap, and J. Moultrie, “Towards A Framework for Holistic Contextual Design for Low-Resource Settings,” Int. J. Des., vol. 10, no. 3, p. 21, 2016.[2] P. Clyde et al., “25 Years of Health Care Delivery in Low- and Middle-Income Countries
preference for oral exams over written exams (16/16/24/24/20%). Table V. End-of-quarter survey. Not at all/ Significantly/ # Question Slightly Moderately To a great extent Did the oral exam(s) help you master the subject material better or provide extra incentive to do so? Did 1 they contribute positively to your learning in the course
able to: Summarize the problem into research Synthesis. Relate knowledge from several question(s) areas i.e. compose, combine, create Design the experiment in steps, at least Evaluation. Making choices based upon identify variables to be manipulated and reasoned arguments responding variables Predict the behavior or have hypothesis Synthesis. Relate knowledge from several areas i.e. compose, combine, create Collect and organize the data in table(s) that Analysis. Organization of parts. Identification is logical and understandable of components (order, classify, arrange) Plot the data
satisfaction regardless of the venue. The typical way to show results from a 5-point Likert scale is to show the values indistribution bars. Visualizing in this way is helpful for research when measuring impact but lesshelpful to inform decisions on actions to take based on the results. In this work, we convert theresponses into a percentage to support program benchmarking and facilitate goal setting and thenuse that to assign a letter grade. We then convert the results from each student to a percentage bysumming up all the scores given by the student and dividing by 35 (i.e., seven items x five-pointscale). For example, a student who responds to the PS items with 5's to six items and 4 to oneitem, provides a score of 34 out of 35 possible points
, mathematics, and physics. His current research interests are focused on educational innovation and educational technologies.Dr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey (ITESM) Dr. Gibr´an Sayeg-S´anchez is professor – consultant in the Science Department in Tecnologico de Mon- terrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems En- gineering in Tecnologico de Monterrey (2006). Dr. Sayeg-S´anchez has more than 11 years of experience in teaching statistics, mathematics, and operations research; and more than 13 years of experience in Op- erational Excellence consulting
of the technology used for theShinkansen was developed during the war for non-peaceful purposes. However, post-warJapanese engineers felt the need to expunge their guilt at having developed such technologyand instead utilised it for more peaceful purposes. The learning outcomes from this lecture were measured by filling out a questionnaire.Most of them mentioned their redemption by developing technology used for the war,importance of having a peaceful mindset, safety, and/or the contribution of the threeengineers as the most impressive lessons learned (see their feedback in ‘Program evaluation’below). Figure 4: Some slides from Lectures on ShinkansenProgram evaluation1. Quantitative analysis: MGUDS-S SIT values
. In the following sections, the studies on the effectiveness of game-basedlearning (GBL) are summarized first and review on its implementation potential to engineeringeducation is provided as well. Then, the developed game is explained briefly with the learninggoal and topics. We implemented this learning module in two different settings, first for 25 highschoolers at a civil and environmental engineering departmental summer camp and second for alittle under 30 community resilience researchers at the National Institute of Standards andTechnology (NIST)’s Center of Excellence for Community Resilience semi-annual meeting.Feedback was collected after the second implementation which is presented as well to discuss themodule’s future development
students’ learning. Dr. Darabi’s research has been funded by federal and corporate sponsors including the National Science Foundation, and the National Institute of Occupational Health and Safety.Mrs. Rezvan Nazempour, The University of Illinois, Chicago Rezvan Nazempour is a graduate research assistant at the University of Illinois at Chicago. She is com- pleting her Ph.D. in Industrial Engineering and operations research at the Mechanical and Industrial En- gineering Department. She received her BSIE fromDr. Peter C. Nelson, The University of Illinois, Chicago Peter Nelson was appointed Dean of the University of Illinois at Chicagoˆa C™s (UIC) College of Engi- neering in July of 2008. Prior to assuming his
context.AcknowledgmentsThis work was made possible by a U.S. Department of Education Graduate Assistance in Areasof National Need (GAANN) Grant Number P200A210109 and by a NSF Innovations inGraduate Education (IGE) Program [IGE DGE#2224724] grant. 5 References[1] Gilmore, J. A., Wofford, A. M., & Maher, M. A. (2016). The Flip Side of the Attrition Coin: Faculty Perceptions of Factors Supporting Graduate Student Success. International Journal of Doctoral Studies, 11, 419–439. https://doi.org/10.28945/3618[2] S. Spaulding, L., & Rockinson-Szapkiw, A. (2012). Hearing their Voices