selection that utilized a measurement of a student’s adult mentor supportnetwork, reasoning that if the student had adequate circle of adult backers, then they were morethan likely to persevere and successfully complete higher education. The researchers earned an NSF S-STEM grant in 2016 to study the effects of mentornetwork connectedness on collegiate STEM field persistence. Students from low SESbackgrounds who had expressed an interest in STEM majors and were given admission intoexploratory studies were selected as the target pool of participants. These students have becomeknown colloquially as ‘Rising Scholars’ (RS) [7] [8]. Twenty-one admitted students wereselected through a process designed to quantize and measure the quality of a
. Wereceived both positive and negative team stories from the participants. In addition, we found itwas not only the engineering classes, clubs, and teams that seemed to affect the sense ofbelonging, but also where the participants lived. Our preliminary results indicate that students’making experiences, especially in the context of project teams, influence how they feel asengineers. We will continue to explore these themes into the second year of our project.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2204738. 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
Curriculum to On-Line Format for Community College Instruction: A Critical Link to Retain Technology Students (HRD# 1407123) was funded by the National Science Foundation (NSF) in July of 2014. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F. (2001). Spatial ability and learning the use of an angled laparoscope in a virtual environment. In J
this method of delivery with the other partner schools.References 1. Adapting Tested Spatial Skills Curriculum to On-Line Format for Community College Instruction: A Critical Link to Retain Technology Students (HRD# 1407123) was funded by the National Science Foundation (NSF) in July of 2014. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F
assessmentof the first year of the program. The students were carefully and closely mentored by aninterdisciplinary team of faculty members from various departments within the Colleges ofEngineering and Science. The participating students learned to use computational tools needed toengage in multidisciplinary UAV research projects. They learned to do the scientific literaturereview, and had an opportunity to improve written and oral communication skills. Theparticipants were required to present a poster, give an oral presentation of the research, and submitabstract (s) to student and/or professional conferences. In addition, the students participated in aseries of research symposium and seminars designed to expose them to a range of research topics
student PSVT:R scores, grades,retention, and progress towards graduation.References 1. Guay, R.B. (1977). Purdue Spatial Visualization Test: Rotations. Purdue Research Foundation, West Lafayette, IN. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F. (2001). Spatial ability and learning the use of an angled laparoscope in a virtual environment
1449490. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] C. B. Zoltowski, B. K. Jesiek, S. A. Claussen, and D. H. Torres, “Foundations of Social and Ethical Responsibility Among Undergraduate Engineering Students: Project Overview,” in Proceedings of the 2016 ASEE Annual Conference and Exposition, June 26-29, 2016, New Orleans, LA, USA. [Online]. Available: https://peer.asee.org/foundations-of-social-and-ethical-responsibility-among- undergraduate-engineering-students-project-overview[2] D. S. Fuentes, G. M. Warnick, B. K. Jesiek, and R. Davies, “A Longitudinal
Faculty of the Faculty Cluster Initiative’s Learning Sciences Cluster at the University of Central Florida. Her research focuses on measuring self-regulated learning across research and learning contexts, such as STEM classrooms.Prof. Hyoung Jin Cho, University of Central Florida Professor Hyoung Jin Cho is the Associate Chair of the Department of Mechanical and Aerospace Engineering at the University of Central Florida. He coordinates two undergraduate programs – B. S. Mechanical Engineering and B. S. Aerospace Engineering. He has published over 130 peer-reviewed journal and proceeding papers. He has 12 and 6 patents granted in the U.S. and Korea, respectively, in the areas of sensors, microfluidic devices, and micro
Education. 6. An extension of the FIE 2013 article comparing the engineering fields with the largest enrollments but smallest percentage of women, namely Electrical and Mechanical Engineering is also being considered. This was not originally planned in the proposal but has been a useful analysis.Finally, a consideration of the exchange between Mechanical and Aerospace Engineering is thefocus of an ASEE 2014 conference paper.7Publications Related to this GrantM. K. Orr, S. M. Lord, R. A. Layton, and M. W. Ohland, (in press). Student Demographics andOutcomes in Mechanical Engineering in the U.S.. International Journal of MechanicalEngineering Education.M. Madsen Camacho and S. M. Lord (2013). Latinos and the Exclusionary Space of
“representative of a dance” that was the larger project of change.Finally, speakers described elements of their team philosophy that helped them to buildcognitively complex, ‘real’ teams. They took time together to debrief difficulties and celebratesmall wins. It was crucial to bring a “generous spirit” to the work and be “comfy with mistakes.”Giving people the benefit of the doubt and showing willingness to learn from one another“lubricates a lot of conversations” and “ease[s] a lot of tensions.” Over time they developed anunderstanding of what decisions could be organic and what should be formalized, and learnedpatience with the human side of the change process. One described change projects as cross-country races, not track meets: We “don’t have to
versus constructive) to determine how these typesof teaching impact student responses. Finally, we plan to determine what differences can befound between different types of institutions (such as community colleges, MSIs, PWIs, Doctoralgranting institutions) or class types (engineering, science, math).AcknowledgementsThis research is supported by the U.S. National Science Foundation (grant numbers DUE-1821092, DUE-1821036, DUE-1821488, and DUE-1821277). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References[1] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, "Measuring actual
. Joseph David Richardson Joseph D. Richardson is an Assistant Professor in the William B. Burnsed, Jr. Department of Mechanical, Aerospace and Biomedical Engineering at the University of South Alabama.Tom ThomasNicole Carr ©American Society for Engineering Education, 2023 Engaging Transfer Students in a College of EngineeringAbstractThe LINK scholarship program at the University of South Alabama is funded by an NSF S-STEM grant, awarding scholarships to low-income students transferring from communitycolleges in the Gulf Coast region to complete degrees in chemical, civil, computer, electrical, ormechanical engineering. The program provides financial support and academic mentoring tofoster student
-975). International Society of the Learning Sciences, June2010.Corcoran, T.B., F.A. Mosher and A. Rogat, A. (2009). Learning progressions in science: Anevidence-based approach to reform, CPRE Research Report# RR-63. New York: Consortium forPolicy Research; 2009 May.Foster, C., Wigner, A., Lande, M., & Jordan, S., & Lande, M. (2018). Learning from parallelpathways of makers to broaden pathways to engineering. International Journal of STEMEducation. 5(1), 6.Hatano, G. and K. Inagaki, Two courses of expertise. In H. Stevenson, H. Azuma, & K. Hakuta(Eds). Child development and education in Japan (pp. 262-272), NY: Freeman, 1986.Jordan, S. & Lande, M. “Additive innovation: Radical collaboration in design thinking andmaking
, 2017. 3. Choy, S., Nontraditional Undergraduates. 2002, U.S. Department of Education, National Center for Education Statistics: Washington, DC. 4. Rodriguez, A., M. Carnasciali, S. Ciston, M. Whitson, and V. Berendt (2016, Sept) Stress and Response Patterns in Adult Engineering Student within Higher Education. Paper presented at 2016 ASEE Rocky Mountain Section Conference, Cedar City, UT. https://www.suu.edu/rms2016/ 5. Seymour, E. & Hewitt, N. H. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press 6. Carnasciali, M., & Thompson, A. E., & Thomas, T. J. (2013, June), Factors influencing students' choice of engineering major. Paper presented at
towards a teacher-led model and empower partner organziations to interactwith each other outside of university mediation.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1657263. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] H. M. Matusovich, R. A. Streveler, and R. L. Miller, “Why Do Students Choose Engineering? A Qualitative, Longitudinal Investigation of Students’ Motivational Values,” Journal of Engineering Education, vol. 99, no. 4, pp. 289–303, Oct. 2010.[2] S. L. R. Bennett, “Contextual Affordances of Rural Appalachian
National Science Foundation. The authors also acknowledge all of thefaculty that have contributed questions, comments, other instructional materials, and time intousing and improving the AIChE Concept Warehouse.References1. Halloun, I. and Hestenes, D. (1985). The initial knowledge state of college physics students. American Journal of Physics 53, 1043.2. Hestenes, David, Wells, Malcolm, and Swackhamer, Greg. (2002). Force Concept Inventory. The Physics Teacher, 30,141.3. Mazur, E. (1997) Peer instruction, Prentice Hall, Upper Saddle River, NJ.4. Evans, D. L., Gray, G. L., Krause, S., Martin, J., Midkiff, C., Notaros, B. M., et al. (2003). Progress on concept inventory assessment tools. Proceedings of the 33rd Annual ASEE/IEEE Frontiers
: 10.1002/j.2168-9830.2005.tb00833.x.[2] B. Balamuralithara and P. C. Woods, "Virtual laboratories in engineering education: The simulation lab and remote lab," Computer Applications in Engineering Education, vol. 17, no. 1, pp. 108-118, 2009, doi: 10.1002/cae.20186.[3] J. Ma and J. V. Nickerson, "Hands-on, simulated, and remote laboratories: A comparative literature review," ACM Computing Surveys (CSUR), vol. 38, no. 3, pp. 7-es, 2006, doi: 10.1145/1132960.1132961.[4] M. D. Koretsky, D. Amatore, C. Barnes, and S. Kimura, "Enhancement of Student Learning in Experimental Design Using a Virtual Laboratory," IEEE Transactions on Education, Article vol. 51, no. 1, pp. 76-85, 2008
Instructionˆa C™s Literacy and Language program at Purdue University. She received her B.A and M.S in Korean Language Education from Seoul National University, South Korea. She served culturally and linguistical ©American Society for Engineering Education, 2025 Improving Student Design Through Critical Evaluation: Results from Four Years of Learning by Evaluating (LbE) Research (NSF DRK-12 #2101235)IntroductionDesign is a central focus of high-school engineering courses. Curricula at this level include awide-range of engineering contexts, highlighting the consistent ways of thinking and being as anengineer [1], [2]. Design experiences foster creativity, problem solving, and
: A feminist poststructural lens on stories of women engineering faculty of color. Management Communications Quarterly, 29(3), 440–457.Garrett, S. D., Williams, M. S., & Carr, A. M. (2023). Finding their way: Exploring the experiences of tenured Black women faculty. Journal of Diversity in Higher Education, 16(5), 527–538. https://doi.org/10.1037/dhe0000213Goldberg, C. E., & Baldwin, R. G. (2018). Win-win: Benefits of expanding retirement options and increasing the engagement of retired faculty and staff. New Directions for Higher Education, 182, 69–74. https://doi.org/10.1002/he.20281Kelly, B. T., & Winkle-Wagner, R. (2017). Finding a voice in predominantly white institutions: A
concepts dehydration and sintering of clay-based ceramics to understand change in dimensions and chemistry) 9-12.S.1.2 Students will be able to evaluate and describe the impact of scientific discoveries on historical events and social, economic, and ethical issues. (use materials evolution to understand advancement of civilization) 9-12.S.2.2 Students will be able to analyze factors that could limit technological design. (use glaze chemistry to understand color generation and aesthetics)Pilot High School Program, Summer-Fall 2024Ms. Michelle Crane, co-author and high school teacherat Douglas High School, has performed scientificresearch (Summer 2024) on ceramic glaze formulationsusing 100% local materials from the Black Hills whilebeing funded by
Department of Technology and Society. She is currently the Assistant Director of STEM Smart programs, which include programs S-STEM ASSETS, LSAMP, and NASA NY Space Grant. Lauren has had the opportunity to participate in many professional development programs, such as the first cohort of the Research Foundation Leadership Academy, and Research Foundation Mentoring Program. Lauren received her Master of Arts in Higher Education Ad- ministration from Stony Brook University in May 2017. Her current research analyzes the gender equity in higher education, with a focus of females in STEM. With her research background, Lauren is a Women in Science and Engineering (WISE) affiliated member, and instructs the course, Society and
Academy of Engineering, Committee on Public Understanding of Engineering Messages, Changing the Conversation: Messages for Improving Public Understanding of Engineering. Washington, D.C.: National Academies Press, 2008.[4] National Governors Association Center for Best Practices, Council of Chief State School Officers, Common Core State Standards for English Language Arts & Literacy in History/Social Studies, Science, and Technical Subjects. Washington D.C.: National Governors Association Center for Best Practices, Council of Chief State School Officers, 2010.[5] C. Anderson, “Perspectives on Science Learning,” in Handbook of Research in Science Education, S. K. Abell and N. Lederman, Eds. Mahwah, N.J.: Lawrence Erlbaum
work supported by a National Science Foundation DUEGrant No 2215807. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the National Science Foundation’sviews.References[1] Litzinger, T., Lattucca, L., Hadgraft, R., & Newstetter, W. (2011). “Engineering education and the development of expertise.” Journal of Engineering Education, 100(1), 123-150.[2] Hake, R. R. (1998). “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses.” American journal of Physics, 66(1), 64-74.[3] Streveler, R. A., Brown, S., Herman, G. L., & Montfort, D. (2015). Conceptual change and
point.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1607811. 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. The authors would also like to thank Dr. Daniel Knight of the University ofColorado Boulder for his collaboration and support, as well as the graduate and undergraduateresearchers who participated in data collection and analysis throughout the project: TahsinChowdhury, Jessica Deters, and Christopher Gewirtz at Virginia Tech; Nicholas Alvarez,Sidharth Arunkumar, and Amy Tattershall at New Mexico Tech; Finn Giardine, Annie Kary, andLaura Rosenbauer at Smith
that have been voiced surroundingthem. While COVID prevented or hindered the implementation of most planned interventions,our findings thus far demonstrate that the recruitment and first-semester interventions aresupporting many of the students’ needs. However, we realize additional steps may better meetprogram participants needs as they transition into their graduate studies. By doing so, weanticipate an increase in the positive outcomes of the SEnS-GPS students’ GPAs, programretention, and graduation rates.References 1. T. Figueroa & S. Hurtado, “Underrepresented racial and/or ethnic minority (URM) graduate students in STEM disciplines: A critical approach to understanding graduate school experiences and obstacles to degree
/Usualness Appropriateness/Sensicality Literal sentences unoriginal/highly usual highly appropriate /sensical Metaphorical sentences original/highly unusual highly appropriate /sensical Anomalous sentences original/highly unusual highly inappropriate/nonsensicalTable 1. Characteristics critical sentences (literal, metaphorical, anomalous) used in the experiment.The present study builds on Rutter et al.’s [1] study with an aim to extend our currentunderstanding on how the creative potential may be dependent on an individual’s priorknowledge, with a specific focus on engineering knowledge. To this end, we asked engineeringand nonengineering
0.999 0.999 FunctionB Page 26.178.9 Weighted Avg. 0.999 0.001 0.999 0.999 0.999 0.999 === Confusion Matrix === a b 16. Lockerd, A. & Breazeal, C. Tutelage and socially guided robot learning. in 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings 4, 3475–3480 vol.4 (2004).17. Konidaris, G., Kuindersma, S., Grupen, R. & Barto, A. Robot learning from demonstration by constructing skill trees. Int. J. Robot. Res. 31, 360–375 (2012).18. Ammar, B., Rokbani, N. & Alimi, A. M. Learning system for standing human detection. in Computer Science and Automation
(S < 29) 31 (~57%) Neglected (29 <= S < 31) 12 (~22%) Reversed (31 <= S) 11 (~20%)The results above suggest that, for practicing engineers making decisions with data presented intabular form, targeting the consequences of variability is relatively difficult: Whereasengineering students readily targeted variability in scenarios with “everyday” variability (>90%of individuals targeted), in this pilot only ~57% of participants targeted variability correctly. It ispossible that the ~20% of participants with “reversed” responses were attempting to targetvariability, and that in a more deliberate setting (i.e., in the workplace), they would have
of the proposed educational toolshowed a wide range of variations. Future study could consider the scale-up project byinvestigating the long-term impact of the embodied learning educational tool to young learnerswith the increased sample size.References[1] Y. Kim, J. Hwang, S. Lim, M.-H. Cho, and S. Lee, “Child–robot interaction: designing robot mediation to facilitate friendship behaviors,” Interact. Learn. Environ., vol. 32, no. 8, pp. 4169–4182, Sep. 2024, doi: 10.1080/10494820.2023.2194936.[2] J. Hwang, S. Lee, Y. Kim, and M. Zaman, “Evaluating Young Children’s Computational Thinking Skills Using a Mixed-Reality Environment,” in HCI International 2023 Posters, vol. 1834, C. Stephanidis, M. Antona, S. Ntoa, and G. Salvendy
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