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Displaying results 781 - 810 of 1984 in total
Conference Session
ERM: Diversity, Equity, and Inclusion
Collection
2022 ASEE Annual Conference & Exposition
Authors
Cory Brozina, Youngstown State University - Rayen School of Engineering; Aditya Johri, George Mason University
infrastructure to more strongly support NTSE. Moreresearch is needed to identify what kinds of theories and models might be more appropriate forNTSE support.AcknowledgmentThis material is based upon work supported by the National Science Foundation under grantnumber 2044347 within the IUSE program. 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. National Academy of Engineering (NAE) (2005). Educating the engineer of 2020: Adapting engineering education to the new century. National Academies Press, Washington D.C. 2. Lowell, B. L., & Salzman, H. (2007). Into the eye of the storm
Conference Session
ERM: New Research Methods and Tools
Collection
2022 ASEE Annual Conference & Exposition
Authors
Maimuna Begum Kali, Florida International University; Stephen Secules, Florida International University; Cassandra McCall, Utah State University
the project summary mentioned but did not specify will be widely disseminated to academic methods of dissemination. research audiences, as well as educational practitioners and stakeholders in Example Studies: Award #2120443, 2208680, engineering and industry who share the 1653854, 1734347, 1760002, 1825328 [13-18] goal of increasing the representation of females in engineering.” [18] Category 2. Dissemination is specified: The Example Statement(s): summary discussed several specific means of dissemination. “Broad dissemination of project results
Conference Session
ERM: Engineering Identity: (Identity Part 1)
Collection
2022 ASEE Annual Conference & Exposition
Authors
Kelsey Scalaro, University of Nevada, Reno; Indira Chatterjee, University of Nevada, Reno; Derrick Satterfield, University of Nevada, Reno; Ann-Marie Vollstedt, University of Nevada, Reno; Jeffrey Lacombe, University of Nevada, Reno; Mackenzie Parker, University of Nevada, Reno; Adam Kirn, University of Nevada, Reno
, 2012.[9] J. C. Major, A. R. Carberry, and A. N. Kirn, “Revisiting a Measure of Engineering Design Self- Efficacy*,” Int. J. ofEngineering Educ., vol. 36, no. 2, pp. 749–761, 2020.[10] E. Wenger, Communities of Practice Learning: Meaning, and Identity. Cambridge University Press, 1998.[11] J. R. Morelock, “A systematic literature review of engineering identity: definitions, factors, and interventions affecting development, and means of measurement,” Eur. J. Eng. Educ., vol. 42, no. 6, pp. 1240–1262, Nov. 2017.[12] S. L. Rodriguez, C. Lu, and M. Bartlett, “Engineering identity development: A review of the higher education literature,” Int. J. Educ. Math. Sci. Technol., vol. 6, no. 3, pp. 254–265, 2018.[13
Conference Session
ERM: Let's Talk about Tests! (Tests Part 1)
Collection
2022 ASEE Annual Conference & Exposition
Authors
Minju Kim, University of California, San Diego; Celeste Pilegard, University of California, San Diego; Huihui Qi, University of California, San Diego; Curt Schurgers, University of California, San Diego; Marko Lubarda, University of California, San Diego; Saharnaz Baghdadchi, University of California, San Diego; Alex Phan, University of California, San Diego
. Forexample, participating in oral exams may affect students’ motivation to learn, and this relationshipmay not be separable from students’ personal background and identity factors (e.g., see [25] fordiscussion on academic support, oral exam experience, and student motivation).AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.2044472. 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. We thank the following colleagues for the helpful discussion: Carolyn Sandoval, HeLiu, Josephine Relaford-Doyle, Leah Klement, Maziar Ghazinejad, Mia Minnes, and NathanDelson
Conference Session
Civil Engineering Division - Is This Real? Reaching Students with Virtual and Augmented Reality
Collection
2022 ASEE Annual Conference & Exposition
Authors
Ayatollah Yehia, University of Virginia; Jacqueline Chao, University of Virginia; Connor Lyons, University of Virginia; Mehrdad Shafiei Dizaji, University of Virginia; Devin Harris, University of Virginia
Paper ID #37783A Case Study on Leveraging Augmented Reality forVisualization in Structural DesignAyatollah Yehia Ayatollah (Aya) Yehia is a Ph.D. student (Systems Engineering) in the i-S²EE Lab. She received her B.S. in Civil Engineering from the American University of Sharjah in Sharjah, United Arab Emirates and a MSc in Civil Engineering (concentration: Transportation Engineering) from the University of British Columbia in Vancouver, Canada. She is currently working on building a digital twin that utilizes data from multiple sensors for more holistic modeling and simulations for structural health
Conference Session
Incorporating Technology in the Classroom
Collection
2022 ASEE Annual Conference & Exposition
Authors
Mariana Silva, University of Illinois at Urbana - Champaign; Matthew West, University of Illinois at Urbana - Champaign; Sascha Hilgenfeldt, University of Illinois at Urbana - Champaign; Philipp Hieronymi; Nicolas Nytko, University of Illinois at Urbana - Champaign; Akshit Deshpande, University of Illinois at Urbana - Champaign; Jer-Chin Chuang, University of Illinois at Urbana - Champaign
midway through Semester Milestones Trad #s Comp #s Fall 2019 Curriculum re-design and development of IPython 812 – notebooks for 5 computational lab assignments Spring 2020 Pilot Honors section; introduction of group work 791 24 in discussion sections of the Traditional course Fall 2020 First offering of the Computational course as a 513 253 special section of the Traditional course; develop- ment of homework and exam questions associated with lab content Spring 2021 Second offering of the Computational course as 456 420
Conference Session
Technological and Engineering Literacy - Philosophy of Engineering Division Technical Session 1
Collection
2022 ASEE Annual Conference & Exposition
Authors
Joshua Gross; Keyoni McNair
knowledge to build a morediverse and representative future.References [1] S. Zweben, J. Tims, and Y. Timanovsky, “ACM-NDC study 2019—2020: eighth annual study of non-doctoral-granting departments in computing,” ACM Inroads, vol. 11, no. 3, pp. 26–37, Aug. 2020. [Online]. Available: https://dl.acm.org/doi/10.1145/3410475 [2] S. Zweben and B. Bizot, “2017 CRA Taulbee survey,” Computing Research News, vol. 30, no. 5, pp. 1–47, 2018. [Online]. Available: https://cra.org/resources/taulbee-survey/ [3] E. M. Mercier, B. Barron, and K. M. O’connor, “Images of self and others as computer users: The role of gender and experience,” Journal of Computer Assisted Learning, vol. 22, no. 5, pp. 335–348, 2006, publisher: Wiley Online Library. [4
Conference Session
Works in Progress: Chemical Engineering Education
Collection
2022 ASEE Annual Conference & Exposition
Authors
Sarah Wilson, University of Kentucky; Tracy Carter, Northeastern University; Amy Karlsson; Janie Brennan, Washington University in St. Louis; Joanne Beckwith, University of Michigan; Samira Azarin; Chris Barr, University of Michigan
] Bucak, Seyda, Zoya Tuiebakhova, and Neset Kadirgan. "Bridging the gap between chemical engineering education and industrial practice." INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION 23.6 (2007): 1219. [6] Carter, T. L., & Wilson, S. A., & Azarin, S., & Brennan, J., & Karlsson, A. J., & Barr, C. (2019, June), Work in Progress: Utilizing Change Strategies and Chemical Process Safety Resources to Incorporate Process Safety Education in the Unit Operations Courses in Public and Private Universities Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33578 [7] Feisel, L., and Peterson, G.D., “A Colloquy on Learning Objectives for Engineering
Conference Session
ERM: Student Professional Development: Professional Skills and Moving Beyond the Classroom
Collection
2022 ASEE Annual Conference & Exposition
Authors
Andrew Olewnik, University at Buffalo, The State University of New York; Bahar Memarian, University of Toronto
different conceptual frameworks is possible. Students and even academicpractitioners may carry out their curricular and co-curricular duties without ever noticing oracknowledging such perspectives and their clash thereof. As a remedial alternative to neglectingconceptual frameworks altogether, it may be useful to acknowledge multiple epistemological andconceptual perspectives in PDS or more broadly curricular and co-curricular programming [22].This is because the quality of students’ professional skill development can be dependent on theconceptual and pedagogical lens that is adopted by the learner(s), supervisor, and otherindividuals involved in a learning environment such as a co-curricular experience [6].The PDS survey can in its basic form
Conference Session
LEES 3: Assessing/Addressing Mental Health
Collection
2022 ASEE Annual Conference & Exposition
Authors
Sarah Wilson, University of Kentucky; Courtney Wright, University of Kentucky; Melanie Miller; Lucy Hargis; Ellen Usher; Joseph Hammer; Natalie Ban; Halle Shannon, University of Kentucky
to also understand stressors that students are experiencing thatare not directly related to their training.AcknowledgmentsA grant from the National Science Foundation (2024394) supported this study.References[1] L. O. Oyewobi, G. Bolarin, N. T. Oladosu, and R. A. Jimoh, "Influence of stress and copingstrategies on undergraduate students' performance," Journal of Applied Research in HigherEducation, 2020.[2] A. S. Negi, A. Khanna, and R. Aggarwal, "Psychological health, stressors and copingmechanism of engineering students," International Journal of Adolescence and Youth, vol. 24, no.4, pp. 511-520, 2019.[3] L. Acharya, L. Jin, and W. Collins, "College life is stressful today–Emerging stressors anddepressive symptoms in college
Conference Session
Mechanical Engineering: Fluids, Heat Transfer
Collection
2022 ASEE Annual Conference & Exposition
Authors
Jack Elliott, Utah State University; Angela Minichiello, Utah State University; Kevin Roberts
, ahigh Particle Density increases the synthetic image generator runtime drastically. To resolve thisissue, we constructed clean() functions in our Form objects to set a boundary condition for allour variables to within general limits of PIV data collection and analysis (e.g., region sizes mustbe between 8 and 128 pixels). The Django form and field validation evaluates users’ inputs andinserts these inputs into the synthetic image generator to produce a list of graphs and values.The synthetic image generator creates a Python class object from a utils.py file that contains alist of resulting graphs (the correlation plane and images) and PIV analysis values (r, s, signal tonoise ratio, and error values). A Django Model (a single, definitive source
Conference Session
Community Engagement Division Technical Session 3- Multi- and Inter-disciplinary, Collaboration, and Engagement in Practice
Collection
2022 ASEE Annual Conference & Exposition
Authors
Malle Schilling, Virginia Polytechnic Institute and State University; Jacob Grohs, Virginia Polytechnic Institute and State University
felt comfortable engaging with. But I think that {University Affiliate 4}'s a very ... She has the principles of kind of community development and knowing that it has to sort of stem from within them. (University Affiliate 6) Another partner identified how important it was to have genuine relationships developedwithin the context of the partnership and how having everyone on the same page helps withdecision making and trust among partners: And I think that it speaks to {University Affiliate 4} but it also just speaks to that we've developed genuine relationships with some of the teachers over time. And how it's amazing to me how important that is. (University Affiliate 3) In the context of this
Conference Session
ERM: Find Out More About Faculty!
Collection
2022 ASEE Annual Conference & Exposition
Authors
Sarah Orton, University of Missouri - Columbia; Fan Yu, University of Missouri - Columbia; Johanna Milord; Lisa Flores, University of Missouri - Columbia; Rose Marra, University of Missouri - Columbia
Conference Session
ERM: Exploring Educational Technology in Engineering
Collection
2022 ASEE Annual Conference & Exposition
Authors
Kelsey Rodgers, Embry-Riddle Aeronautical University - Daytona Beach; Matthew Verleger, Embry-Riddle Aeronautical University - Daytona Beach; Farshid Marbouti, San Jose State University; Angela Thompson, University of Louisville; Nicholas Hawkins, University of Louisville
Computational Model. This dependence ontheir code for Graphical/Virtual Model was incorporated because many students discussedcomputer programs along with CAD programs. Also, students’ responses that included “simulat”for simulation/s, simulating, simulate/d, etc. were coded as Computational Models. Students’responses that included both input and output were coded as Computational Models. Along witha core feature of simulations, the keyword “interactive” was also considered, but this alone wasnot coded as Computational Models because it led to too many false positives in the coding. Thelast keyword that led to a response being coded as a Computational Model was computational.Financial/Business ModelsIn the Fall 2019 and Spring 2020 analyzed data, there
Conference Session
CIT Division Technical Session #7
Collection
2022 ASEE Annual Conference & Exposition
Authors
Matthew Verleger, Embry-Riddle Aeronautical University - Daytona Beach; Richard Stansbury, Embry-Riddle Aeronautical University - Daytona Beach; Mustafa Akbas, Embry-Riddle Aeronautical University - Daytona Beach; Philip Craiger
Interest in Scientific Communication 5 Strongly Agree, Agree, Disagree, Strongly Disagree Expectations from experience 7 Very Likely, Likely, Unlikely, Very Unlikely Future career/education plans 11 Yes, No Reason(s) for participation 2 1-7 (Highly Dissatisfied to Highly Satisfied) Overall SatisfactionAnalysisOf the original 9 participants, 1 student completed only the pre- and mid-project surveys,disengaging from the project in the middle of the Spring term. Two (2) students completed thepre-, mid-, and Year-1 surveys and six (6) completed all 4 iterations of the survey. Graphs weregenerated to
Conference Session
CIT Division Technical Session #8
Collection
2022 ASEE Annual Conference & Exposition
Authors
Mercy Jaiyeola; Sarah Lee, Mississippi State University; Allen Parrish
community and the economy”.In the context of this research, the success of a person’s employment outcome is dependent onabout 5 factors: 1. Whether they were able to gain computing employment: Getting employed in a computing job is seen as a successful employment outcome whereas getting employed in a non-computing position is seen as an unsuccessful outcome, in the context of this research13-14. 2. How soon they were able to gain their computing employment: After college, it takes the average graduate three to six months to get a job15. Within this research, a person who gets employed within a year of the completion of their educational program(s) is seen as successful whereas a person who gains their computing
Conference Session
Educational Research and Methods (ERM) Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Shamita V, Nanyang Technological University; Ibrahim H. Yeter, Nanyang Technological University; Eileen Fong, Nanyang Technological University
engineering isnot important or that they are not intelligent enough, a better understanding of engineering’simportance and increased confidence in one’s engineering skills and knowledge couldeventually encourage students to consider engineering as a potential career path.Additionally, integrating engineering education into the K-12 curriculum would allow for amore seamless transition between studying engineering at the K-12 level and at theundergraduate level. Furthermore, Yeter et al.’s study (2022) reveals that engineering indicesare already present across the pre-college physics curriculum in Singapore. The study alsoidentifies entry points to introduce engineering education into the curriculum and integrateengineering practices into existing
Conference Session
ERM: Lessons Learned from COVID (COVID Part 1)
Collection
2022 ASEE Annual Conference & Exposition
Authors
Gary Timko; Natalie Shaheen; Wade Goodridge, Utah State University; Theresa Green, Utah State University - Engineering Education; Daniel Kane, Utah State University
meta-analysis of training studies,” Psychol. Bull., vol. 139, no. 2, pp. 352–402, 2013, doi: 10.1037/a0028446.[7] C. Dawson, “Tackling limited spatial ability: Lowering one barrier into STEM?,” Eur. J. Sci. Math. Educ., vol. 7, no. 1, pp. 14–31, Jan. 2019, doi: 10.30935/scimath/9531.[8] S. Hsi, M. C. Linn, and J. E. Bell, “The role of spatial reasoning in engineering and the design of spatial instruction,” J. Eng. Educ., vol. 86, no. 2, pp. 151–158, Apr. 1997, doi: 10.1002/j.2168-9830.1997.tb00278.x.[9] J. Wai, D. Lubinski, and C. P. Benbow, “Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance,” J. Educ. Psychol., vol. 101, no. 4, pp. 817–835, Nov. 2009, doi
Conference Session
Investigations Using Calculus Courses
Collection
2022 ASEE Annual Conference & Exposition
Authors
Emre Tokgoz, Quinnipiac University
arithmetic operations in analytically-defined functions as operations on functions wouldseem to prepare them for a deeper understanding of this aspect of the calculus. At the same time,a conception of operations in expressions as operating on numbers and not on functions wouldseem to be an obstacle to understanding the derivative and integral as linear operators. These areempirically testable hypothesis; I would welcome research on them...In this paper the obstacles faced by the participants while solving two Riemann integral relatedquestion calculations are described and analyzed by using the schema development idea in [2].By relying on Piaget`s study of functions in 1977 [4], the Action-Process-Object idea inmathematics education for the
Conference Session
Entrepreneurship & Engineering Innovation Division Technical Session 5
Collection
2022 ASEE Annual Conference & Exposition
Authors
Nathalie Duval-Couetil, Purdue University at West Lafayette (COE); Alanna Epstein, University of Michigan; Aileen Huang-Saad, Northeastern University
Conference Session
ETD Technical Session 8 - ET Pedagogy II
Collection
2022 ASEE Annual Conference & Exposition
Authors
James Kribs, North Carolina Agricultural and Technical State University
Institute.References[1] National Society of Professional Engineers, “Code of Ethics for Engineers,” no. July. 2019.[2] N. J. Moore, “Analysis of Student Perception in Thermodynamics,” 2020.[3] D. Dunning, The dunning-kruger effect. On being ignorant of one’s own ignorance, 1st ed., vol. 44. Elsevier Inc., 2011.[4] S. Pazicni and C. F. Bauer, “Characterizing illusions of competence in introductory chemistry students,” Chem. Educ. Res. Pract., vol. 15, no. 1, pp. 24–34, 2014.[5] D. Caputo and D. Dunning, “What you don’t know: The role played by errors of omission in imperfect self-assessments,” J. Exp. Soc. Psychol., vol. 41, no. 5, pp. 488–505, 2005.[6] S. Pavel, M. Robertson, and B. Harrison, “The Dunning
Conference Session
Aerospace Division Technical Session: Pedagogy and Curriculum
Collection
2022 ASEE Annual Conference & Exposition
Authors
Emily Palmer, California Institute of Technology; Jacqueline Tawney, California Institute of Technology; Jennifer Weaver
our department, Dr. Hanna Song, the former Senior Director for Inclusion &Diversity at Caltech, for her invaluable guidance in developing the program and for providingfacilitator training, Miles Chan, Narravula (Harsha) Reddy, & Peter Renn, graduate students inAerospace Engineering, for facilitating discussions, and all our wonderful speakers forcontributing their time, energy, and wisdom to the course.References[1] S. Chen, “Researchers around the world prepare to #ShutDownSTEM and ‘Strike For Black Lives’.” https://www.science.org/content/article/researchers-around-world-prepare-shutdownstem-and-strike -black-lives (accessed Feb. 03, 2022).[2] “#ShutDownAcademia #ShutDownSTEM,” #ShutDownAcademia #ShutDownSTEM
Conference Session
Mechanical Engineering: Fluids, Heat Transfer
Collection
2022 ASEE Annual Conference & Exposition
Authors
Jiamin Zhang, Auburn University; Soheil Fatehiboroujeni, Cornell University; Matthew Ford, University of Washington; Eric Burkholder, Stanford University
–359, 2012. [6] N. Shin, D. H. Jonassen, and S. McGee, “Predictors of well-structured and ill-structured problem solving in an astronomy simulation,” Journal of Research in Science Teaching, vol. 40, no. 1, pp. 6–33, 2003. [7] H. J. Passow, “Which ABET competencies do engineering graduates find most important in their work?” Journal of Engineering Education, vol. 101, no. 1, pp. 95–118, 2012. [8] Q. Symonds, “The global skills gap in the 21st century,” 2018. [Online]. Available: https://www.qs.com/portfolio-items/the-global-skills-gap-in-the-21st-century/ [9] C. Grant and B. Dickson, “Personal skills in chemical engineering graduates: the development of skills within degree programmes to meet the needs of employers,” Education
Conference Session
PCEE Session 11: Engineering Outreach / Summer Programs
Collection
2022 ASEE Annual Conference & Exposition
Authors
Aimee Cloutier, Rose-Hulman Institute of Technology; Eric Constans, Rose-Hulman Institute of Technology; James Mayhew, Rose-Hulman Institute of Technology
good experimentalist, though, willcarefully plan the experiment, considering how to tell if the results of the experiment aretrustworthy and, furthermore, providing a quantitative estimate of how trustworthy they are. Thisis where the idea of quantifying experimental uncertainties becomes useful.Quantifying Experimental UncertaintiesAn experimental measurement should always be reported along with an uncertainty estimate(e.g. 𝑔 = 9.7 ± 0.5 m/s 2 ). The idea behind an uncertainty estimate is that the true value of theresultant – in this case g - is never actually known; an uncertainty estimate is intended to providean upper and lower bound on where the true value is expected to fall. Uncertainty is inherent inthe process of taking experimental
Conference Session
Biomedical Engineering Division: Best of Works in Progress
Collection
2022 ASEE Annual Conference & Exposition
Authors
Hao Jiang, Lawrence Technological University
assessment specific to fluid mechanics,” in 2016 ASEE Annual Conference & Exposition, 2016.[2] J. M. Bekki, M. Huerta, J. S. London, D. Melton, M. Vigeant, and J. M. Williams, “Opinion: Why EM? the potential benefits of instilling an entrepreneurial mindset.” Advances in Engineering Education, vol. 7, no. 1, p. n1, 2018.[3] J. L. Gorlewicz and S. Jayaram, “Instilling curiosity, connections, and creating value in entrepreneurial minded engineering: Concepts for a course sequence in dynamics and controls,” Entrepreneurship Education and Pedagogy, vol. 3, no. 1, pp. 60–85, 2020.[4] “Engineering unleashed powered by KEEN,” https://engineeringunleashed.com, accessed: 2022-02-12.[5] M. Nasir, J. Seta, and E. G. Meyer, “Introducing high
Conference Session
WIED: Support for All in the WIED Community
Collection
2022 ASEE Annual Conference & Exposition
Authors
Kathryn Redmond, University of Nebraska - Lincoln; Grace Panther, University of Nebraska - Lincoln; Mojdeh Asadollahipajouh; Rick Evans, Cornell University; Stacey Kulesza, Kansas State University; Grace Liang
, "Socialization Processes of Engineering Students: Differences in the Experiences of Females and Males," Administrative Issues Journal: Education, Practice & Research, vol. 2, no. 1, pp. 96-106, 2012.[3] C. C. De Cohen and N. Deterding, "Widening the Net: National Estimates of Gender Disparities in Engineering," Journal of Engineering Education, vol. 98, no. 3, pp. 211-226, 2009.[4] M. Borrego, "Feminist Theory in Three Engineering Education Journals: 1995-2008," Journal of Engineering Education, vol. 100, no. 2, pp. 281-303, 2011.[5] T. Swartz, A. Palermo, S. Masur and J. Aberg, "The Science and Value of Diversity: Closing the Gaps in Our Understanding of Inclusion and Diversity," Journal of Infectious Diseases, vol. 220, pp
Collection
2022 ASEE Annual Conference & Exposition
Authors
Ameerah Muhsinah, Iowa State University of Science and Technology; Lotfi Ben, University of North Texas
ing Web application and the one of an IoT system? 5 Preferred learn- What is/are the method(s) that helped you better learn software ing method architecture?methods, and critical thinking) is to specify a set of closed questions (e.g., using Likertscale and variable categories) and use inference statistics techniques. Since, we do notknow the different categories for each of the dependent variables, we conducted aqualitative study. The study uses students’ free-text responses to a questionnaire as thedata source. We discuss the preparation of the study, the data collection, and the dataanalysis activities.Preparation of the study. We discussed the course with colleagues and identified a setof factors that we
Conference Session
Aerospace Division Technical Session: Student Success
Collection
2022 ASEE Annual Conference & Exposition
Authors
Benjamin Ahn, Iowa State University of Science and Technology; MacKenzie Reber, Grove City College
, creating MS PowerPoint slideshighlighting members of the National Society of Black Engineers (NSBE), and creating a tutorialvideo for coding a rock-paper-scissors game. The following paragraphs provide additionaldescriptions of the projects. Please note that any identifying information about the students andparticipants has been excluded from the descriptions.Student 1 interviewed three members of the Society of Hispanic and Professional Engineers(SHPE) from Student 1's university. The interviews were about the members' perspectives andexperiences as underrepresented minorities pursuing engineering degrees. Student 1 thensummarized the main findings from the interviews and presented them to approximately 20students in a high school that educated
Conference Session
NSF Grantees Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Lisa Bosman, Purdue University at West Lafayette (PPI); Karoline Jarr; Bhavana Kotla, Purdue Polytechnic Graduate Programs; Jason Ostanek, Purdue University at West Lafayette (PPI); Jose Garcia; Walter Leon-Salas, Purdue University at West Lafayette (COE); Sunghwan Lee, Purdue University at West Lafayette (PPI)
-personversus virtual delivery.5. ReferencesBauer, K. W., & Bennett, J. S. (2003). Alumni perceptions used to assess undergraduate research experience. The Journal of Higher Education, 74(2), 210-230.Cox, M. F., & Andriot, A. (2009). Mentor and undergraduate student comparisons of students’ research skills. Journal of STEM Education: Innovations and Research, 10(1).Lopatto, D. (2007). Undergraduate research experiences support science career decisions and active learning. CBE—Life Sciences Education, 6(4), 297-306.NSF. (2019a). Research Experiences for Undergraduates (REU). Retrieved from https://beta.nsf.gov/funding/opportunities/research-experiences-undergraduates-reuNSF. (2019b). Research Experiences for
Conference Session
NSF Grantees Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Nikunja Swain, South Carolina State University
based on theevaluation results as needed.We are in year 3 of this project and we will continue executing the project goals and other activities. Weplan to present the final findings of the project in another NSF poster session.AcknowledgementCurrent funding for this project has been provided by the National Science Foundation through awards –award number HRD-1912085, and award number HRD 1912284. Additional resources were providedby SC State University. The author wish to acknowledge and thank NSF and SC State University for thisgrant support.References[1]. Top U.S Universities failing at Cybersecurity Education. Retrieved from https://www.cio.com/article/3060813/it-skills-training/top-u-s-universities-failing-at-cybersecurity