3D [29], or simulation software, such as Simio [30]. Whenbuilt with Unity, the virtual system can be explored using a VR headset such as Oculus Quest[31], [32]. Unity games can be viewed on a computer screen but will require rebuilding thevirtual system to accommodate that. When built using Simio, the virtual systems can be exploredon a computer screen and a VR headset (Oculus Rift, Rift S, or tethered Quest) which add moreflexibility and scalability. This is especially important when teaching students remotely, and notall the students have VR headsets.When selecting a system, the system should be complex enough to include challenges andactivities that cover many problems and concepts from several courses in the IE curriculum, butnot too
observationcoding. Lastly, the sample classroom videos and validation keys give Toolkit users anopportunity to practice conducting and coding full-length classroom observations in a low-stakessetting, before observing a real classroom.References1. Litzler, E., Lange, S. E., & Brainard, S. G. (2005, June). Climate for graduate students in science and engineering departments. In Proceedings of the 2005 American Society for Engineering Education annual conference & exposition. Portland, OR.2. Walton, G. M., Logel, C., Peach, J. M., Spencer, S. J., & Zanna, M. P. (2015). Two brief interventions to mitigate a “chilly climate” transform women’s experience, relationships, and achievement in engineering. Journal of Educational Psychology, 107(2
morewomen into the program. Results of these efforts and other success stories will be reported infuture.AcknowledgementThe project is funded by the NSF’s EEC Program. We would also like to thank NorthropGrumman Corporation and NASA Armstrong Flight Research Center for hosting the participantsand giving them a tour of their research labs and facilities. We would also like to thank NorthropGrumman Corporation, Lockheed Martin Corporation, and NASA AFRC for their continuedsupport of the Cal Poly Pomona’s UAV Lab.References1. Bhandari, S., Aliyazicioglu, Z., Tang, F., and Raheja, A., “Research Experience for Undergraduates in UAV Technologies,” Proceedings of American Society of Engineering Education Annual Conference, Salt Lake City, UT, 25-28
DescriptionThe main focus of this NSF Scholarship in Science, Technology, Engineering, and Mathematics(S-STEM) project is to provide 70 scholarships and student support services to student veteranswhich will address the major barriers to degree completion in engineering and engineeringtechnology. Students who participate in this program are veterans who are either juniors orseniors. They also have to demonstrate a financial need, motivation, and proven academicexcellence, and have exhausted their Post-911 GI Bill benefits. The students participating in thisprogram are from one of the following majors that are available at our college. These are: Civiland Environmental Engineering, Electrical and Computer Engineering, Mechanical andAerospace Engineering
learned a lot about engineering education research from this program. Many studentsexpressed their desire to purchase further graduate studies, or teaching, in the development oftheir professional careers.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1262806. Graduate students Mr. Andreas Febrian, Mr. Moe Tajvidi, Mr. PresentacionRivera-Reyes, and Ms. Ting Song are acknowledged for their efforts in mentoring REU students.The project external evaluator Dr. Margaret Lubke is also acknowledged for her efforts inconducting independent evaluation of this program.Bibliography[1] Hathaway, R. S., Naqda, B. A., and Gregerman, S. R., 2002, “The Relationship of Undergraduate Research
Paper ID #30680Engendering Community to Computer Science Freshmen through an EarlyArrival ProgramProf. Alark Joshi, University of San Francisco Alark Joshi is an Associate Professor in the Department of Computer Science at the University of San Francisco. He was a co-PI on the IDoCode project (http://coen.boisestate.edu/cs/idocode/) that led to a change in the landscape of computer science teacher preparation and education in the state of Idaho. Currently, he is a co-PI on the S-STEM proposal focused on engaging students in the local community to enable successful outcomes for them with respect to courses and internships/jobs
- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Mr. Russell Andrew Long, Russell Long, M.Ed. was the Director of Project Assessment at the Purdue University School of Engineer- ing Education (retired) and is Managing Director of The Multiple-Institution Database for Investigating Engineering Longitudinal Development (MIDFIELD). He has extensive experience in performance fund- ing, large data set analysis, program review, assessment and student services in higher education. One of his greatest strengths lies in analyzing data related to student learning outcomes and, therefore, to im- proving institutional effectiveness. His work with
authors and do not necessarily reflect the views of theNational Science Foundation. 6. References [1] S. L. Chu, R. Schlegel, F. Quek, A. Christy, and K. Chen, “‘I Make, Therefore I Am’: The Effects of Curriculum-Aligned Making on Children’s Self-Identity,” in Proc. of the 2017 CHI Conference on Human Factors in Computing Systems, 2017, pp. 109–120. [2] L. Martin, “The Promise of the Maker Movement for Education,” J. Pre-College Eng. Educ. Res., vol. 5, no. 1, Apr. 2015. [3] P. Blikstein and D. Krannich, “The makers’ movement and FabLabs in education: experiences, technologies, and research,” in Proc. of the 12th international conference on interaction design and children, 2013, pp. 613–616. [4] S. Papavlasopoulou, M. N
development of cross-disciplinary activities, and the significant reach to thousands of students highlight the transformative po-tential of integrating computing concepts into the broader curriculum. This approach not only enhanceseducators’ abilities to teach computer science but also prepares students for high-demand STEM careersby exposing them to advanced topics in a non-elitist, accessible manner.Works CitedBasu, S., A. Dickes, J. S. Kinnebrew, P. Sengupta, and G. Biswas. 2013. “CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling”Berland, L. K., and B. J. Reiser. 2011. “Classroom communities' adaptations of the practice of scientific argumentation”Blikstein, P. 2013. “Digital fabrication and ‘making
, and R. White, “The internet of things – the future or the end of mechatronics,” Mechatronics, vol. 27, pp. 57 – 74, 2015. [5] P. Eichinger, B. Hofig, and C. Richter, “Education 4.0 for mechatronics – agile and smart,” in 2017 International Conference on Research and Education in Mechatronics (REM), 2017, pp. 1–7. [6] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P. Wenderoth, “Active learning increases student performance in science, engineering, and mathematics,” Proceedings of the National Academy of Sciences, vol. 111, no. 23, pp. 8410–8415, 2014. [7] J. Gao and J. Hargis, “Promoting teachnology-assisted active learning in computer science eduation,” The Journal of Effective
; Plaza, D. (in preparation). Sweetheart Deals: informal promotion practices that produce gendered and racialized workplace inequities in higher education, ADVANCE Journal.Davis, S., Nolen, S., Cheon, N., Moise E., & Hamilton E. (in review). Engineering Climate for Marginalized Groups: Connections to Peer Relations and Engineering Identity.Davis, S., Nolen, S, & Koretsky M. (in preparation A). Shifting Instructional Practices through Co-teaching: A CHAT Analysis of Organizational LearningDavis, S., Nolen, S, & Koretsky M. (in preparation B). Inclusive Excellence: Synergies Between Equity and Student Learning in PracticeEfu, S. I. (2019). Exams as learning tools: A comparison of traditional and collaborative assessment in
career and life experiences impact it, with the goal of both understanding andpromoting confidence in the graduate student population.AcknowledgementsThe authors would like to acknowledge the financial support of the National Science Foundation,under Grant #1463825. They would also like to acknowledge the support and contributions ofDr. Shanna Daly, Stacy Mann, and Mark Leshok to the project.References[1] D. L. Peters & S. R. Daly, “The challenge of returning: Transitioning from an engineering career to graduate school,” In American Society of Engineering Education Annual Conference & Exposition, Vancouver, B.C., June 2011.[2] M. L. Strutz, J. E. Cawthorne Jr., D. M. Ferguson, M. T. Carnes, & M. Ohland
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
take ascreenshot (number 12 in the survey), with an average score of 3.33 points. This data correlateswith the qualitative data gained from the “think-aloud” protocol, as well as the functionalitytimeline. This issue is addressed in the above table as well.Users also gave a lower rating to number 15, referring to preference of manipulation of live load.With an average score of 3.67, users did not strongly prefer dragging the live load over the use ofpreset location buttons. This data correlates with other data collected during testing; both loadmanipulation functionalities will be kept.References[1] J. F. Davalos, C. J. Moran, and S. S. Kodkani, “Neoclassical Active Learning Approach for Structural Analysis,” 2003.[2] J. G. Teng, C. Y
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
Education Research. Journal of Engineering Education, 100(1), 186-210.2 Montfort, D., Brown, S., & Pollock, D. (2009). An Investigation of Students' Conceptual Understanding in Related Sophomore to Graduate-Level Engineering and Mechanics Courses. Journal of Engineering Education, 98(2), 111-129.3 Linnenbrink, E. A., & Pintrich, P. R. (2003). Achievement goals and intentional conceptual change. In G. M. Sinatra & P. R. Pintrich (Eds.), Intentional conceptual change (pp. 347–374). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.4 Posner, G. J., & Gertzog, W. A. (1982). The clinical interview and the measurement of conceptual change. Science Education, 66(2), 195-209. doi
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
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
’ experiences, even theinstructor. Finally, a coherent assessment method for the learning outcomes ofTeaTol concept was presented.AcknowledgementThis material is based in part upon work supported by the National ScienceFoundation under Grant Numbers DUE- 1141238, DUE- 1140664 and DUE- Page 23.532.101141037. Any opinions, findings, and conclusions or recommendations expressed 9in this material are those of the author(s) and do not necessarily reflect the viewsof the National Science Foundation.References[1] Friedman, T.L., 2005, The World Is Flat: A Brief History of the Twenty-First Century. New York
to continue with the work as part of theirpractice. This may relate to the fact that it was done “in situ” with examples from their ownspaces with their peers. As noted by Borko et al. [37] and Seidel et al., [38], in situ has morepotential to motivate and promote change in instruction and learning.AcknowledgementsThis material is based upon work supported by the National Science Foundation under [grantnumber 2005927] (Binghamton University) and [grant number 2005860] (Indiana University).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] P. S. Lottero-Perdue, “Elementary student reflections
PrairieLearn’s collaborative assessments to extract the timestamp ofeach student’s submissions to a given collaborative problem. Each submission was labeled asquick (Q), medium (M), or slow (S) based on its duration and whether it was shorter or longerthan the 25th and 75th percentile. We then applied sequence compacting techniques, sequentialpattern mining, and correlation analysis to identify latent patterns that characterize variousproblem-solving strategies across three database query languages (SQL, MongoDB, Neo4j). Theobjective of this study is to investigate the potential of temporal information - the amount of timespent on each submission attempt – in uncovering the recurrent patterns in groups’ submissionsequences. The next step is to perform
ethnicity of the childparticipants included 36.7% African American, 13.3% Asian, 36.7% Caucasian, and 13.3% self-identified as “other” or two or more ethnicities. Caregiver’s educational backgrounds rangedfrom a high school degree to a doctoral degree and approximately 30% of the caregivers having acareer in a STEM field and/or some experience related to STEM. Pseudonyms are used toidentify participants.ResultsResults are organized by research aim and include finding highlights from on-going analyses.The data sources that informed these insights are from multiple data sources – interviews withchild(ren) and caregiver(s), video recordings of in-person sessions using stand-alone cameras,and video recordings of at-home interactions with the
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
, 2006.[2] X. Tang, Y. Yin, Q. Lin, R. Hadad, and X. Zhai, “Assessing computational thinking: A systematic review of empirical studies,” Comput. Educ., vol. 148, no. January, p. 103798, 2020.[3] H. Shoaib and S. P. Brophy, “A systematic literature-based perspective towards learning and pedagogy of computational thinking,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2020-June, 2020.[4] P. J. Denning, “Computational Thinking in Science,” Best Writ. Math. 2018, pp. 67–77, 2019.[5] D. Weintrop et al., “Defining computational thinking for mathematics and science classrooms,” J. Sci. Educ. Technol., vol. 25, no. 1, pp. 127–147, 2016.[6] K. Brennan and M. Resnick, “New frameworks for studying and
Courses Focused on Tissue Engineering ApplicationsProceedings of the 2002 American Society for Engineering Education Annual Conference &Exposition; 2002.8. Pittsburg Tissue Engineering Initiative I. An Education Outreach Manual in TissueEngineering. In: Pittsburg Uo, editor. 2010.9. Birol G, Liu S, Smith D, Hirsch P Educational Modules in Tissue Engineering Based on Page 24.528.10the “How People Learn” Framework. Bioscience Education E-journal. 2006;7.10. Bhatia S. A disease-centered approach to biomaterials education and medical devicedesign. 33rd Annual International Conference of the IEEE EMBS
this work was provided by the USA National Science Foundation's ImprovingUndergraduate STEM Education (IUSE) program under Award No. 1836504. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References[1] L. Gelles, S. M. Lord, G. D. Hoople, D. A. Chen, and J. A. Mejia, “Compassionate Flexibility and Self-Discipline: Student Adaptation to Emergency Remote Teaching in an Integrated Engineering Energy Course during COVID-19,” Education Sciences, vol. 10, no. 11, p. 304, 2020. https://doi.org/10.3390/educsci10110304[2] B. Momo, G. D. Hoople, D. A. Chen, J. A. Mejia, and S. M. Lord, “Broadening
National Academy Press.2. Olson, S., & Riordan, D. G. (2012). Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics. Report to the President. Washington, DC, USA: Executive Office of the President, President’s Council of Advisors on Science and Technology.3. Ohland, M. W., Sheppard, S. D., Lichtenstein, G., Eris, O., Chachra, D., & Layton, R. A. (2008). Persistence, engagement, and migration in engineering programs. Journal of Engineering Education, 97(3), 259-278. doi: 10.1002/j.2168-9830.2008.tb00978.x4. Fernandez, M. J., Trenor, J. M., Zerda, K. S., & Cortes, C. (2008). First generation college students in engineering: A
interested who transferred to Virginia Techfrom regional community colleges. To date we have interviewed 28 individuals, including fivefocus group participants. The pool includes 11 women, one (male) underrepresented student,seven first-generation college students, and 14 students who transferred from communitycolleges.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber 1734834. 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 also wish to thank Ms. Claudia Desimone for help with data collection.References[1] M. Boynton, C. A. Carrico, H. M
.[4] K. Charmaz, Constructing grounded theory. London: SAGE, 2014.[5] S. R. Komives, J. E. Owen, S. D. Longerbeam, F. C. Mainella, and L. Osteen, “Developing a Leadership Identity: A Grounded Theory,” Journal of College Student Development, vol. 46, no. 6, pp. 593–611, 2005.[6] S. R. Komives, S. D. Longerbeam, J. E. Owen, F. C. Mainella, and L. Osteen, “A Leadership Identity Development Model: Applications from a Grounded Theory,” Journal of College Student Development, vol. 47, no. 4, pp. 401–418, 2006.[7] S. R. Komives, S. D. Longerbeam, F. Mainella, L. Osteen, J. E. Owen, and W. Wagner, “Leadership Identity Development,” Journal of Leadership Education, vol. 8, no. 1, pp. 11– 47, Jan. 2009.[8] P. Kirkbride
has described how concept mapping was implemented to promote active learning inEngineering Dynamics. The results of the questionnaire survey show that overall, conceptmapping had a positive impact on student learning. The future work will focus on the study ofhow concept mapping affects students’ long-term knowledge retention.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grant No.1244700.References[1] M. E. Serna, O. S. Bachiller and A. A. Serna, “Knowledge meaning and management in requirements engineering,” International Journal of Information Management, vol. 37, pp. 155-161, Jun. 2017.[2] C. McMahon, A. Lowe and S. Culley, “Knowledge management in engineering design