. Her M.A. and Ph.D. degrees are in Science Education from Arizona State University earned in 2002 and 2008, respectively.Dr. Robin Adams, Purdue University, West Lafayette (College of Engineering) Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University and holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical Engineering. She researches cross-disciplinarity ways of thinking, acting and being; design learning; and engineering education transformation.Ms. Molly H Goldstein, Purdue University, West Lafayette (College of Engineering) Molly Goldstein is a Ph.D. Candidate in the School of Engineering Education at Purdue University, West
-1711533. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] Paulson, D. R., & Faust, J. L. (1988). Active and Cooperative Learning. Los Angeles: California State University, Los Angeles. Retrieved from http://www.calstatela.edu/dept/chem/chem2/Active/index.htm[2] Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.[3] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics
and minorities continue to be underrepresented in engineering, both nationally and atRoger Williams University. In 2012, women constituted just 12% of engineering graduates at theuniversity, while minorities constituted just 4%. In an effort to boost the enrollment, performance,and persistence of underrepresented students, the university applied for and received an NSF S-STEM grant to integrate engineering, biology, and marine biology students into an existingprogram supporting underrepresented students on campus. The combined program, known asSTILAS, provides participants with a $10,000 NSF scholarship, supplemented by the university,as well as dedicated tutoring and advising, and co-curricular activities such as field trips and
: 1. Include descriptions of the cultural context 2. “[A]ttend to the embodied nature of the protagonist” [39, p.17] 3. Consider how other people affect the central character 4. Identity choices and actions of the central character 5. Attend to past experiences and how they impact the choices and actions 6. Create a story with a beginning, middle, and end 7. The plot should bring all the data together into a meaningful story that explains why the central character acted the way s/he didQuality ConsiderationsThis project will be monitored by an external review board and an internal framework.Internally, we will use the Q3 framework outlined by Walther et al. [41] and Walther
#1936through NSF/CNS grant. The views and conclusions contained herein are those of the authorsand should not be interpreted as necessarily representing the official policies, either expressed orimplied of NSF.References[1] Berman, M., Chase, J. S., Landweber, L., Nakao, A., Ott, M., Raychaudhuri, D., Ricci, R., and Seskar, I. (2014). GENI: A federated testbed for innovative network experiments. Computer Networks, 61:5–23.[2] Riga, N., Edwards, S., and Thomas, V. (2016). The Experimenter’s View of GENI, pages 349–379. In: McGeer R., Berman M., Elliott C., Ricci R. (eds) The GENI Book. Springer, Cham .[3] Thomas, V., Riga, N., Edwards, S., Fund, F., and Korakis, T. (2016). GENI in the classroom. In the GENI Book, pages 433–449. Springer.[4
expressed in this work are those of the author and do not necessarily representthose of the National Science Foundation.References[1] V. Hunt, S. Prince, S. Dixon-Fyle, and L. Yee, "Delivering through diversity," McKinsey & Company Report. Retrieved April, vol. 3, p. 2018, 2018.[2] ASEE, "Transforming Undergraduate Education in Engineering, Phase I: Synthesizing and Integration Industry Perspectives.," 2013.[3] J. L. Arminio et al., "Leadership experiences of students of color," NASPA journal, vol. 37, no. 3, pp. 496-510, 2000.[4] C. R. Romano, "A qualitative study of women student leaders," Journal of College Student Development, 1996.[5] A. Kezar and D. Moriarty, "Expanding our understanding of
in approaches and areas for improvement or learning on thepart of novices. This work will also feed into the longer term goal of this project which will thenaim to categorize students and dispositions that allow for problem solving success. For example,if we can determine that reflection, or intrinsic motivation, (for example) are critical aspects forsuccess then future work by our group or others could focus on developing these dispositions instudents or would lend weight to existing best practices for doing so.AcknowledgementsSupport for this work was provided by the National Science Foundation under Award No.2301341. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not
those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.We would also like to acknowledge all of the individuals who participated in the studiesassociated with this work. We would also like to acknowledge the people who supported thiswork with their time and help.References1. Stevens, R., O’Connor, K., Garrison, L., Jocuns, A., & Amos, D. M. 2008. Becoming an engineer: Toward a three dimensional view of engineering learning. Journal of Engineering Education, 97(3), 355–368.2. Johri, A. and Olds, B. M. (2011), Situated Engineering Learning: Bridging Engineering Education Research and the Learning Sciences. Journal of Engineering Education, 100: 151–185. doi: 10.1002/j.2168-9830.2011
success variables, college grades a (i.e., first year GPA) and creativity.Preliminary findings suggest that specific college experiences have a greater influence on first-year GPA and that students with ADHD are more likely to self-report high levels of creativity.We also plan to conduct the analysis for resilience, a less-common measure of collegiateacademic success that may be relevant for students who have ADHD.Table 2. Model components, constructs, and survey items from the HERI instrument [32], [33]. Components and constructs of our model Item(s) from the HERI instruments Precollege characteristics & experiences Gender Gender of respondent; Survey choices: Female, Male Sociodemographic
had been highly rated at the time of original review. Inpart because of this and in part because it is an important part of proposal review, our reviewerswere asked to closely read the current program description and calls for proposals and evaluatethe proposals with respect to how well they matched the current call. This allowed for apotentially greater range of quality evaluations, with the understanding that there would be amismatch between the current call and the call the original proposals responded to. The callsused in this training were the Preparing Future Engineers: Research Initiation in EngineeringFormation (PRF: RIEF), Scholarships in Science, Technology, Engineering & Math (S-STEM),and the Faculty Early Career Development
/translating-theory-on-color-blind-racism-to-an-engineering-educatio n-context-illustrations-from-the-field-of-engineering-education.[10] S. Johnston, A. Lee, and H. McGregor, “Engineering as Captive Discourse,” Society for Philosophy and Technology Quarterly Electronic Journal, vol. 1, no. 3/4, pp. 128–136, Oct. 1996, Accessed: Jul. 06, 2021. [Online].[11] M. G. Eastman, M. L. Miles, and R. Yerrick, “Exploring the White and male culture: Investigating individual perspectives of equity and privilege in engineering education,” J. Eng. Educ., vol. 108, no. 4, pp. 459–480, Oct. 2019.[12] E. Rap and M. T. Oré, “Engineering Masculinities: How Higher Education Genders the Water Profession in Peru,” Eng. Stud., vol
; less than 28% of the total IT workforceand only 12% of engineers are female [2]. By the time students reach college, 1 in 5 young menplan on majoring in engineering or computing while only 1 in 17 young women declare the same[3]. Since 1990, the percentage of female computing professionals dropped from 35% to about24% today, and if that trend continues, the share of women in the nation’s computing workforcewill decline to 22% by 2025 according to Girls Who Code [4]. These statistics provide themotivation for a program called Project-based Work Studio (PWS) developed at a mid-sizedAppalachian primarily undergraduate university supported by an NSF S-STEM grant to build amore proportionate female workforce in computer science, engineering, and
Foundation under Grant No.EEC 2144213. References[1] N. Hillman and T. Weichman, "Education deserts: The continued significance of “place” inthe twenty-first century," American Council on Education, Washington, DC, 2016.[2] M. Reyes, A. Dache-Gerbino, C. Rios-Agular, M. Gonzalez-Canche and R. Deil-Amen, "The“geography of opportunity” in community colleges: The role of the local labor market instudents’ decisions to persist and succeed," Community College Review, vol. 47, no. 1, pp. 31-52, 2019.[3] F. S. Laanan and D. Jain, "Advancing a new critical framework for transfer student research:Implications for institutuional research," New Directions for Institutional Research, vol. 170, pp.9-21, 2017.[4] S. S
," Nursing Standard, vol. 23, no. 40, pp. 35-40, 2009.[3] H. A. Simon, "Making management decisions: The role of intuition and emotion," Academy of Management Perspectives, vol. 1, no. 1, pp. 57-64, 1987.[4] S. E. Dreyfus and H. L. Dreyfus, "A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition," California University Berkley Operations Research Center, No. ORC-80-2, 1980.[5] J. Bransford, A. L. Brown and R. R. Cocking, How People Learn: Brain, Mind, Experience, and School, Expanded ed., Washington, DC: National Academy Press, 2000.[6] M. Chi, R. Glaser and M. J. Farr, The Nature of Expertise, Hillsdale, NJ: Lawrence Erlbaum Associates, 1988.[7] C. M. Seifert, A. L. Patalano, K. J. Hammond and T. M
Paper ID #19796BridgeValley STEM Scholars ProgramMrs. Melissa Thompson P.E. P.E., BridgeValley Community and Technical College Melissa Thompson is an Associate Professor and the Outreach Coordinator at BridgeValley Community and Technical College located in South Charleston and Montgomery, West Virginia. She holds a Bachelor Degree in Civil Engineering from WVU Institute of Technology and a Masters Degree in Engineering from Marshall University. Melissa is a Registered Professional Engineer in the state of West Virginia. She is the Principal Investigator (PI) for the BridgeValley S-STEM Scholars Scholarship Program funded
been a cornerstone component of scientific achievement since the mid-1950’s (Burnham, 1990). Despite its tremendous post-war boom to become the de facto standardfor scientific and technical publications and the largely similar goal of providing feedback toimprove quality, peer review is still only moderately used as a pedagogical tool within the highereducation classroom. The single greatest hindrance toward utilizing peer review in the classroomis getting students to accept that it is a viable source for feedback and assessment. Ballantyne etal. (2002) undertook a study of 1,654 first- and second-year students spanning three semestersstudying four different courses. Despite continual efforts based on feedback from students andfaculty to
that may improve the students’ performanceand help them graduate on time. One possible future work is to identify the bottleneck coursesand investigate the paths that lead to failing or passing them.AcknowledgementsThis work was supported in part by NSF Grant# 1447489. We would like to thank ourinformants for participating in the field studies reported here. 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] Pandey, U. K. and Pal, S. (2011), “A Data Mining View on Class Room Teaching Language”, (IJCSI)International Journal of Computer Science Issue, Vol. 8, Issue 2, 277-282, ISSN:1694-0814[2
. Sweeney, S. Nolen, M. Koretsky, M. Bothwell, D. Montfort, S. Nolen and S. Davis. “Re-situating community and learning in an engineering school.” Proceedings of the ASEE Annual Conference and Exposition, Columbus, OH, 2017, https://peer.asee.org/27753.[3] S. Lord, D. Rover, N. Kellam, N. Salzman, E. Berger, E. Ingram and J. Sweeney. “Work-In-Progress: Talking about a revolution - overview of NSF RED projects”. Proceedings of the ASEE Annual Conference and Exposition, Columbus, OH, 2017, https://peer.asee.org/28903.[4] S. Lord, J. London, N. Salzman, B. Sukumaran, T. Martin, A. Maciejewski, J. LeDoux and J. Sweeney. “Work-In-Progress: Progress of the NSF RED Revolution”. Paper and panel
. W., & Pizzico, M. C., & Levy, B., & Nagel, R. L., & Linsey, J. S., & Talley, K. G., & Forest, C. R., & Newstetter, W. C. (2015, June), A Review of University Maker Spaces, Proceedings from 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.234422. Tomko, M., & Nagel, R. L., & Aleman, M. W., & Newstetter, W. C., & Linsey, J. S. (2017, June), Toward Understanding the Design Self-Efficacy Impact of Makerspaces and Access Limitations, Proceedings from 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/277613. Penney, M. F., & Watkins, J. D., & Levy, B., & Linsey, J. S., & Nagel, R. L., & Newstetter, W. C
disengagement.ReferencesBardi, A., & Schwartz, S. H. (2003). “Values and behavior: Strength and structure of relations,” Personality and Social Psychology Bulletin, vol. 29, no. 10, pp. 1207-1220, 2003.Boucher, K. L., Fuesting, M. A., Diekman, A. B. & Murphy, M. C. (2017). “Can I Work with and Help Others in This Field? How Communal Goals Influence Interest and Participation in STEM Fields,” Frontiers in Psychology, vol. 31, May 2017.Brown, E. R., Smith, J. L., Thoman, D. B., Allen, J. & Muragishi, G. (2015b). “From bench to bedside: A communal utility value intervention to enhance students’ science motivation,” Journal of Educational Psychology, vol. 107, no. 4, pp. 1116-1135, Nov. 1, 2015.Cheryan, S., Plaut, V. C
participated in this six-week nanotechnology summer research program in 2015 and who then integratednanotechnology into the classroom over the 2015-2016 academic school year. Second, we reportobservational data from five teachers’ nano-lessons by using a modified version of the ScienceTeacher Inquiry Rubric (STIR).5 Third, using the Student Attitudes toward STEM (S-STEM)survey,6 we present changes in these teachers’ students’ attitudes towards STEM, as well aschanges in students’ perceptions of their own 21st century skills. Lastly, we report changes instudents’ reported interests in 12 STEM careers.Table 1. Overview of Research Evaluation Questions and Methods Research Evaluation Questions Method Participant Q1
quickassessment of student engineering identity and promote understanding of the relationshipbetween student engineering identity and persistence in engineering. The brief quantitativemeasure of engineering identity used in this study has the potential to be utilized in programs andinterventions developed to improve retention rates in engineering programs, especially in thosewith larger numbers of participants. The findings presented are part of a larger project supportedby the NSF under Grant No. 1504741.References[1] S. Olson and D. G. Riordan, "Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics," Executive Office of the President, President’s Council of
Faculty Award for Excellence in Service-Learning. Dr. Vernaza does research in engineering education (active learning techniques) and high-strain deformation of materials. She is currently the PI of an NSF S-STEM.Dr. Saeed Tiari, Gannon UniversityDr. Scott Steinbrink, Gannon University Dr. Scott Steinbrink is an associate professor of Mechanical Engineering.Dr. Lin Zhao, Gannon University Lin Zhao received the Ph.D. degree in electrical engineering from the University of Western Ontario, London, ON, Canada in 2006. She received the B.Sc. and M.Sc. degrees in electrical engineering from Shandong University, Jinan, China, in 1993 and 1996 respectively. From 1996 to 2002, she was a Faculty Member with the School of
. This project focuses on the National Society of Black Engineers (NSBE)'s SummerEngineering Experiences for Kids (SEEK) program. This multi-partner project allows us toexpand and strengthen the experience, conduct research on the impact of the program, andconduct research on how such outreach programs might grow in sustainable manners. Our posterwill present a summary of the large-scale data collection that occurred during the summer of2018 at all 16 sites located across the US. We administered a variety of instruments to identifychanges in the children's STEM-related outcomes over the course of the SEEK experience. Tofurther operationalize the variation in organizational contexts across sites, we collected data fromparents and mentors. In the
thesedistinctions, we can transition students back to traditional representations after their conceptualknowledge is robust enough to guide them. Our themes of perceptually similar concepts,perceptually obscure concepts, and informationally incomplete representations suggest clearavenues for investigating what types of perceptual cues may hinder students’ ability to developor use appropriate conceptual knowledge. As engineers, we can use this knowledge to potentiallydesign new notations or new pedagogical techniques that can help students recognize andovercome the ways our notation may currently be failing to help students learn.References [1] S. Carey, “Knowledge acquisition: Enrichment or conceptual change?,” in The epigenesis of mind., S. Carey and
Paper ID #16560ASCENT - A Program Designed to Support STEM Students through Under-graduate Research and MentoringDr. Kumer Pial Das, Lamar University Dr. Kumer Pial Das is an Associate Professor of Statistics and the Director of the Office of Undergraduate Research at Lamar University in Beaumont, TX. He is the PI of a S-STEM program funded by NSF.B. D. Daniel, Lamar UniversityDr. Stefan Andrei, Lamar University Stefan Andrei received his B.S. in Computer Science (1994) and M.S. in Computer Science (1995) from Cuza University of Iasi, Romania, and a Ph.D. in Computer Science (2000) from Hamburg University, Germany. He was
Sc. Sc. .Sc sic .S .Sc . i /E .Sc . .Sc . M. M. eM
resistance. The study also hopes to provide answers of if students are actuallyresisting active learning, as well as the instructors’ perception of this resistance.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant NoDUE-1821488. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] Dancy, M., Henderson, C., &; Turpen, C. (2016). How faculty learn about and implementresearch-based instructional strategies: The case of Peer Instruction. Physical Review PhysicsEducation Research, 12(1), 010110.[2] Gradinscak, M. (2011). Redesigning engineering
and curricular materials development in other disciplines.Acknowledgements This material is based upon work supported by the National Science FoundationEngineering Education Program under Grant No. 1055356. Any opinions, findings andconclusions or recommendations expressed in this material are those of the author and donot necessarily reflect the views of the National Science Foundation.Bibliography1. Nrc, ed. How People Learn: Brain, Mind, Experience, and School. ed. J. Bransford, et al. National Academy Press: Washington, D.C. xxiii, 319 p. (1999).2. S. Vosniadou, ed. International Handbook of Conceptual Change. Routledge: New York. (2008).3. B.K. Hofer and P.R. Pintrich, The development of epistemological theories
Session. ASEE 2011 Annual Conference & Exposition. Vancouver, B.C. Alfano, Ph.D., K., Ama, S., Karnes, V., Temple, G. (July 26 -‐29, 2011). Presentation: CREATE/TIME's Collaboration to Develop a Wind Turbine Technology Curriculum Throught DACUM & Gap Analysis. HI-‐TEC -‐ High Impact Technology Exchange Conference. San Francisco, CA. Galisky, J., Wold, T. (July 26 – 29, 2011). High School Curriculum for Renewable Energy. HI-‐TEC -‐ High Impact Technology Exchange Conference. San Francisco, CA. Alfano, Ph.D., K. (September 30 -‐ October 5, 2011). Panelist/Presentation on Energy. STEMtech -‐ Learn & Earn Conference. Indianapolis, IN. Alfano