academicsettings, was found to be significantly (p<0.05) different for males and females. This isconsistent with the results from Rodriguez & Esparrago [21]’s study which used the intrinsicmotivation inventory to determine that male and female students have significant differences inhow they are motivated by choice. Their study, which used a pretest/posttest design to study theimpacts of a multinational design project on motivation, found that female students did notexperience a reduction in their choice score after the design project. It is possible that the resultsof the current study describe consistency in the female student’s motivational scores alongside adecrease in overall academic motivation for males although this cannot be determined for
presented at the conference. In addition, the review of criticalincidents related to RQ2 is ongoing. Future work pertaining to RQ2 will include (1) continuingextracting incidents for all remaining participants, (2) sorting incidents into current themes andcategories, and, as appropriate, defining new themes, and (3) disseminating results in a scholarlyjournal. Finally, RQ3 will seek to identify how Phase 1 and 2 results align with extant theoriesand frameworks utilized in engineering education.Acknowledgement:This material is based upon work supported by the National Science Foundation under Grant No.1737303. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily
also gratefully acknowledge the students, facilitators, courseparticipants, the University of Geneva (InZone) as a research and academic partner, and UNHCRas an implementing partner.References[1] A. S. Mahamud et al., “Epidemic cholera in Kakuma Refugee Camp, Kenya, 2009: the importance of sanitation and soap,” J. Infect. Dev. Ctries., vol. 6, no. 03, pp. 234–241, Nov. 2011, doi: 10.3855/jidc.1966.[2] M. Al-Addous, M. N. Saidan, M. Bdour, and M. Alnaief, “Evaluation of Biogas Production from the Co-Digestion of Municipal Food Waste and Wastewater Sludge at Refugee Camps Using an Automated Methane Potential Test System,” Energies, vol. 12, no. 1, p. 32, Dec. 2018, doi: 10.3390/en12010032.[3] P. Dankova and C
: Discuss. The instructor discusses the RL problem, how the engineer would use math and statistics to address the problem, and the impact of the RL problem on the society and community. If the instructor can also demonstrate the instruments used for data collection, then use of such instruments in the RL problem will be covered. (2) S: Solve. The students work on the problem, they device a plan to solve the problem, and implement their plan. This would follow Polya’s four-step method of solving mathematical problems, thus reinforcing that concept. (3) R: Reflect. Students reflect on the problem, and they use information related to the RL problem to check if the values calculated are reasonable
. References[1] N. Duval-Couetil, E. C. Kisenwether, J. Tranquillo, and J. Wheadon, “Catalyzing the adoption of entrepreneurship education in engineering by aligning outcomes with ABET,” in ASEE Annual Conference & Exhibition, 2014.[2] J. Gandhi and D. S. Deardorff, “An Implementation of Innovative Thinking in The Entrepreneurship Cur- riculum for Engineers An Implementation of Continuous Improvement in Instilling Innovative Thinking in The Entrepreneurship Curriculum for Engineers,” in ASEE Annual Conference & Exhibition, 2014.[3] J. F. Sullivan, L. E. Carlson, and D. W. Carlson, “Developing Aspiring Engineers into Budding Entrepreneurs : An Invention and Innovation Course,” J. Eng. Educ., no. October
momentum, angular momentum, total mechanical energy, orbital elements Satellite Subsystems overview Overview of electrical power system (EPS), on-board computing (CDH),Week 1 communications (TT&C), attitude determination & control (ADCS), structural and thermal (S&T), ground communication, payload systems Systems Engineering overview PNMSat systems engineering approach, requirements flowdown, mission mapping, N2 chart, components, interfaces, tasks, mission profile, circuit schematics, power
multicultural curriculum predict current attitudes and activities," Journal of College Student Development, vol. 51, no. 4, pp. 385-402, 2010.[12] P. Gurin, "Expert Report. "Gratz et al. v. Bollinger, et al." No. 97-75321 (E.D. Mich.); "Grutter, et al. v. Bollinger, et al." No. 97-75928 (E.D. Mich.)," Equity & Excellence in Education, vol. 32, no. 2, pp. 36-62, 09/01/ 1999.[13] S. Hurtado, "Linking diversity and educational purpose: how diversity affects the classroom environment and student development," in Diversity Challenged: Evidence on the Impact of Affirmative Action, G. Orfield, Ed. Cambridge, MA: Harvard Education Publishing Group, 2001, pp. 187-203.[14] C. Herring, "Does diversity pay?: Race
computational modeling activities areintegral to each educational learning module. When students formulate computational models,they develop understanding by engaging in the theory and observations of a situation. Studentscomplete each educational learning module in about three hours outside of class after they havebeen introduced to the individual topic in lecture(s) and completed a series of homeworkproblems. As students complete an activity, they are encouraged to refer to its correspondinggrading rubric, which conveys expectations of quality across different levels of expertise. Ourpedagogical model can be used to design learning modules for difficult concepts in other STEMsubjects.Keywords: cognitive apprenticeship, pedagogical model, engineering
Differences and the Differences They Make” Journal of Technology Transfer, 31, 325–333, 2006.[2] C. Corbett, & C. Hill. “Solving the equation: The variables for women’s success in engineering and computing”. Washington, DC: American Association of University Women, 2015.[3] L. Babcock, L., & S. Laschever, “Women don’t ask: The high cost of avoiding negotiation and positive strategies for change”. New York, NY: Bantam Books, 2007.[4] C A. Moss-Racusin, J. F. Dovidio, V. L. Brescoll, M. J. Graham, & J. Handelsman, “Science faculty’s subtle gender biases favor male students”. Proceedings of the National Academy of Sciences, vol. 109, no. 41, pp. 16474–16479, 2012.[5] S. Cheryan, S. A. Ziegler, A. K. Montoya, and L. Jiang
Paper ID #27140Impact of a Research Experience Program in Aerospace Engineering on Un-dergraduate Students: Year TwoDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, worked at Argonne National Lab, 1996-1997, taught at Chicago State University, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engi- neering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann methods for studying
scalefrom 1, very inaccurately, to 7, very accurately. A higher score in each personality trait shows thestudent’s personality is strong in that trait.Grit: This construct was proposed by the psychologist Angela Duckworth and is defined as thepassion and perseverance for long-term goals.13 Grit is usually unrelated or inversely related tointelligence or talent. The two subcategories of grit are consistency of interest and perseverance ofeffort. Perseverance of effort is a superior predictor of GPA while consistency of interest is a betterpredictor of number of lifetime career changes.14 Undergraduates who scored higher in Grit alsoearned higher GPAs than their peers despite having lower SAT scores.13 The Grit-S (short gritscale), which is comprised
outreach with underrepresented groups in STEM.Dr. Lauren Anne Cooper, California Polytechnic State University, San Luis Obispo Lauren Cooper earned her Ph.D. in Mechanical Engineering with a research emphasis in Engineering Education from University of Colorado Boulder. She is currently an Assistant Professor in Mechanical Engineering at California Polytechnic State University in San Luis Obispo. Her research interests include project-based learning, student motivation, human-centered design, and the role of empathy in engineering teaching and learning.Dr. Trevor Scott Harding, California Polytechnic State University, San Luis Obispo Dr. Trevor S. Harding is Professor and Department Chair of Materials Engineering at
study focused primarily on short-term outcomes that were specific to relevantcoursework and content, which limits the types of conclusions that can be drawn. Future researchshould explore relevant dynamics in greater detail, including the longer-term effects from suchexperiences, outcomes that extend well beyond the scope of pair programming, the conditionsunder which cross-national groupwork is most effective, and the ways in which these findingsmay or may not be similar for other forms of collaborative learning (e.g., problem-basedlearning, jigsaw classrooms). Qualitative, quantitative, and mixed-method research designswould be helpful for providing an in-depth understanding of these issues.References[1] S. Freeman, S. L. Eddy, M. McDonough
theyare more capable of performing a task. In this vein, constructive feedback plays a crucial role indeveloping strong self-efficacy beliefs. The fourth source of self-efficacy beliefs is emotionalarousal. Emotional arousal, that happens during challenging situations, can also help peopleinform themselves of their expectations of self-efficacy. High levels of emotional arousal canhamper an individual’s performance by increasing anxiety and stress.3. Research Question(s)This type of research, called sequential explanatory mixed-methods research, is practical in itsapproach. The research questions play a crucial role in guiding and shaping the entire process,including choosing the research design, determining the sample size, and selecting
regarding the eligibility of ChatGPT as an author [31], [32]. These ethicalconcerns play a valuable role by offering opportunities to steer the implementation of GAI inethically responsible ways.Research Questions a) What are students’ and instructors’ perceived literacy of GAI (e.g. knowledge, skills, and abilities)? b) How do students and instructors experience the usefulness and effectiveness of GAI in their course(s)?Theoretical FrameworkThere are many theoretical lenses that one can consider when investigating the experiences ofstudents and instructors using GAI. This paper is primarily interested in the participant literacyregarding GAI and their perceived usefulness and effectiveness of the technology. To explorethis, we
student learning outcomes and promotethe adoption of modern pedagogy and methodologies for knowledge transfer and retentionassessment. The authors hope the proposed framework will be useful for others seeking to improvetheir curricula and enhance student learning.References[1] “The Integrated Postsecondary Education Data System.” Accessed: Apr. 13, 2023. [Online].Available: https://nces.ed.gov/ipeds/use-the-data[2] “ACCE | Accreditation for Construction Education.” Accessed: Feb. 07, 2024. [Online].Available: https://www.acce-hq.org/[3] “Home - ABET.” Accessed: Feb. 07, 2024. [Online]. Available: https://www.abet.org/[4] V. B. Salakhova, L. V Shukshina, N. V Belyakova, A. V Kidinov, N. S. Morozova, and N. VOsipova, “The Problems of the COVID-19
freehand tab was used to jog the robot joints. The import library was used toimport a tool to attach to the robot. A table was imported for the tool to operate on. Targets wereset on the four corners of the table. A path was created between the four corners and. A path can betaught instructions by manually jogging joints. When the path between the four corners wasdefined, the robot was made to move along the path. This was simulated at different speeds of 200,400, 600, 800, and 1000 mm/s and the cycle time to go along the path was recorded. The cycle timedecreased as speed increased. This decrease was the steepest from 200 to 400 mm/s and keptgetting less and less steep.The experiment demonstrated how RobotStudio can be used to mimic the function
. Research Team Dr. Walter Lee Malini Josiam Artre Turner Crystal Pee Taylor Johnson Dr. Janice Hall Associate Professor PhD Student PhD Student PhD Student PhD Student Postdoc This material is based upon work supported by the National Science Foundation under Grant No. 1943811. "Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation
. Ballen, C. Wieman, S. Salehi, J. B. Searle, and K. R. Zamudio, “Enhancing Diversity inUndergraduate Science: Self-Efficacy Drives Performance Gains with Active Learning,” LSE,vol. 16, no. 4, p. ar56, Dec. 2017, doi: 10.1187/cbe.16-12-0344.[3] K. Ellis, “The impact of perceived teacher confirmation on receiver apprehension,motivation, and learning,” Communication Education, vol. 53, no. 1, p. 2, Jan. 2004, doi:10.1080/0363452032000135742.[4] S. Freeman et al., “Active learning increases student performance in science, engineering,and mathematics,” Proc. Natl. Acad. Sci. U.S.A., vol. 111, no. 23, pp. 8410–8415, Jun. 2014, doi:10.1073/pnas.1319030111.[5] A. Skulmowski and G. D. Rey, “Embodied learning: introducing a taxonomy based on
,findings could inform guidelines and professional development for faculty and administrators onfacilitating constructive race dialogues among student populations. Outreach targeting familiesand communities may also be warranted to align messaging across spaces. Future work can delvedeeper into student backgrounds including where students spend their formative years and thetype of college they currently attend.References[1] K. Lajtha and S. Saini, “Biogeochemistry statement on #ShutDownSTEM and Black Lives Matter,” Biogeochemistry, vol. 149, no. 3, pp. 237–237, Jul. 2020, doi: 10.1007/s10533-020- 00682-7.[2] N. Subbaraman, “How #BlackInTheIvory put a spotlight on racism in academia,” Nature, vol. 582, no. 7812, Art. no. 7812, Jun. 2020
Paper ID #45761A Gender-based Comparative Analysis of Motivations and Challenges in ConstructionEducationDr. Saeed Rokooei, Mississippi State University Saeed Rokooei is an associate professor in the Department of Building Construction Science at Mississippi State University. Dr. Rokooei’s primary research interests include community resilience, engineering education, simulation and serious games, project management methodologies, data analytics, creativity and innovation, and emerging technologies.Mr. George D Ford P.E., Mississippi State University Dr. George Ford P.E. is the Director of Mississippi Stateˆa C™s Building
by National Science Foundation Experiential Learning for Emergingand Novel Technologies (ExLENT), Award No. ITE- 2322532. References:1. Teaching Critical Skills in Robotic Automation: iR-Vision 2D Course in Robotic Vision Development and Implementation, A. Sergeyev, S. Parmar, N. Alaraje, Technology Interface International Journal, 013-T-16, V17, #2, p. 13, 2017.2. Robotics and Automation Professional Development Workshop for Faculty, A. Sergeyev, N. Alaraje, Technology Interface International Journal, V17, #1, p.99, 2016.3. University, Community College and Industry Partnership: Revamping Robotics Education to Meet 21st Century Workforce Needs, A. Sergeyev, N. Alaraje, S. Kuhl
expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation.REFERENCES[1] E. O. McGee, “Interrogating Structural Racism in STEM Higher Education,” EducationalResearcher, vol. 49, no. 9, pp. 633–644, Dec. 2020, doi: 10.3102/0013189X20972718.[2] Y. A. Rankin, J. O. Thomas, and S. Erete, “Real Talk: Saturated Sites of Violence in CSEducation,” in Proceedings of the 52nd ACM Technical Symposium on Computer ScienceEducation, Virtual Event USA: ACM, Mar. 2021, pp. 802–808. doi: 10.1145/3408877.3432432.[3] E. W. Huff et al., “Going Through a Process of Whitening: Student Experiences WithinComputer Science Education,” in Proceedings of the 52nd ACM Technical Symposium onComputer
Paul, Oregon State University ©American Society for Engineering Education, 2023 Lab Safety Awareness in Incident and Near-miss Reporting by Students Participating in Engineering Societies: A Case StudyAcademic laboratory safety has gained considerable attention from researchers and researchinstitution administrators since several high-profile incidents in the late 2000’s. Another part ofstudent learning in engineering, though informal, occurs in co-curricular activity such asengineering societies and team competitions where students conduct hands-on activities toachieve certain objectives, usually with minimal (if any) authoritative figures in presence. Thesafety aspect of these co-curricular
. [Accessed: 06- Mar-2021].[4] R. Miller and B. Linder, “Is Design Thinking the New Liberal Arts of Education?,” 2015.[5] A. F. McKenna, “Adaptive Expertise and Knowledge Fluency in Design and Innovation,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds. Cambridge: Cambridge University Press, 2014, pp. 227–242.[6] M. J. Safoutin, “A methodology for empirical measurement of iteration in engineering design processes,” Citeseer, 2003.[7] A. F. McKenna, J. E. Colgate, G. B. Olson, and S. H. Carr, “Exploring Adaptive Expertise as a Target for Engineering Design Education,” in Volume 4c: 3rd Symposium on International Design and Design Education, 2006, vol. 2006, pp
Paper ID #21841Impact of Undergraduate Research Experiences on Diverse National and In-ternational Undergraduate ResearchersDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice Boltzmann
creatively and effectively. Leaders alsoneed to constantly develop skills and intellectual tools to understand soft skills or people skillsand build relationships internally [48]. Results of Gitsham et al.’s [28] survey of CEOs and other executives focus on how softskills and hard skills are beneficial for leaders at all levels of the organization. Specifically,acquisition of interpersonal skills may provide added benefits of knowing and understanding ofhow to interact with people with different cultures and apply the skills to improve organizationalperformance. Soft skills are a set of interpersonal and social skills, whereas hard skills includethe technical or administrative procedures in which the results are quantifiable and measurable[43
interventionthat can be employed broadly to improve the self-efficacy of both pre-service and in-serviceteachers for teaching engineering, thus preparing future generations to make a global impact.References[1] C. Riegle-Crumb, K. Morton, C. Moore, A. Chimonidou, C. LaBrake, S. Kopp, “Do Inquiring Minds Have Positive Attitudes? The Science Education of Preservice Elementary Teachers,” Sci. Educ. vol. 99, pp. 819-836, 2015.[2] C. Alexander, G. Mayes, S. Hopper, S. Thiruvadi, and G. Knezek, “An Investigation of the Impact of Digital Fabrication Projects on Pre-Service Teachers’ Attitudes and Skills” in Proceedings of th Society for Information Technology and Teacher Education International Conference, SITE 2012 Austin, TX
civil engineers do.AcknowledgementsThis material is based upon work supported by the National Science Foundation under AwardNo. EEC-1733636. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. We would also like to thank our participants, who have given generously oftheir time to help us better understand their experiences.References[1] M. W. Ohland, S. M. Lord, and R. A. Layton, “Student Demographics and Outcomes in Civil Engineering in the United States,” J. Prof. Issues Eng. Educ. Pract., vol. 141, no. 4, p. 7, 2015.[2] C. Groen, L. D. McNair, M. C. Paretti, D. R. Simmons, and A. Shew, “Exploring
analytic lens may contribute to understanding about how co-peersand peer-designers might most effectively play roles in changing faculty practice, and ultimately,in creating more inclusive learning environments for diverse students.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.#1623105. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] M. Meyer and S. Marx, "Engineering dropouts: A qualitative examination of why undergraduates leave engineering," Journal of Engineering Education, vol. 103, no. 4, pp. 525-548, 2014.[2] S. E