Conference Session

Technical Sessions 2

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Margaret A Hunter, Hofstra University; Lynn A. Albers, Hofstra University; Jessica Santangelo, Hofstra University; Jacqueline Lee, Nassau Community College; Catherine Weinstein, Nassau Community College; Scott T Lefurgy, Hofstra University; Sean A Roberts, Nassau Community College; Suzanne Trabucco, Nassau Community College; Kristin Weingartner, Hofstra University

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Paper ID #45383NSF S-STEM Funded iAM Program: Lessons Learned Implementing a CollaborativeSTEM Workshop for Community College and University PartnersProf. Margaret A Hunter, Hofstra University Margaret Hunter,Ph.D., is an Associate Professor and Associate Chair of Engineering at Hofstra University in the Fred DeMatteir School of Engineering and Appplied Science. She has been teaching in the Civil Engineering program for 25 years. Her educational research focuses on broadening the participation in enigineering. This has included both formal and informal learning activites in pre-college, developing a course framework to aid

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Abdullah Konak, Pennsylvania State University, Berks Campus; Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus

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Diversity, Professional Papers

-levelthemes that capture the essence of the interview corpus, but it performed poorly in mapping theconcepts to specific files. Therefore, a hybrid approach that leverages the strengths of both AIand human expertise may be the most effective strategy for analyzing complex qualitative data ineducational research.AcknowledgmentThis material is based upon work supported by the U.S. National Science Foundation (NSF)under Grant No. (DUE 2120936). Any opinions and findings expressed in this material are of theauthors and do not necessarily reflect the views of the NSF.References:[1] S. Kulturel-Konak, "Overview of Student Innovation Competitions and Their Roles in STEM Education," in 2021 Fall ASEE Middle Atlantic Section Meeting, 2021. [Online

Conference Session

Technical Sessions 5

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Matthew Fried, SUNY Farmingdale; Mohammad Alshibli

Tagged Topics

Diversity, Professional Papers

Ancestry, Technical Talent, and Learning Process. While AI-based learning showspromise for certain student groups, peer and internet-based reviews also play a vital role infostering engagement and knowledge retention. To this end, students should be wary of entirelyrelying on AI, as backgrounds, learning preferences, and deep analysis may be hurdles instead ofolder, standard approaches. Future research should explore the interactions between thesevariables in greater detail, perhaps using larger datasets and different learning environments.References[1] Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). ai literacy: definition,teaching, evaluation and ethical issues. Proceedings of the Association for Information Scienceand

Conference Session

Technical Sessions 2

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Sarath Chandra Kumar Jagupilla P.E., Stevens Institute of Technology (School of Engineering and Science); Elizabeth O'Connell, Stevens Institute of Technology (School of Engineering and Science); Muhammad R Hajj, Stevens Institute of Technology (School of Engineering and Science)

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may serve as an indicator that a student is struggling academically. An outreach program to connect with the most underperforming students and having them participate in events might help them. Literature Review [1] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, Engagement, and Migration in Engineering Programs,” J of Engineering Edu, vol. 97, no. 3, pp. 259–278, Jul. 2008, doi: 10.1002/j.2168-9830.2008.tb00978.x. [2] D. R. Simmons, Y. Ye, M. W. Ohland, and K. Garahan, “Understanding Students’ Incentives for and Barriers to Out-of-Class Participation: Profile of Civil Engineering Student Engagement,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 2, p

Conference Session

Technical Sessions 3

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Rachmadian Wulandana, State University of New York at New Paltz

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Diversity, Professional Papers

a group of ... (select only one) 22. In this course, I learn how to use ANSYS mostly from (select only one) 23. In this course, I learn how to code the FE method mostly from (select only one) 24. In the future, the number of mini projects should be (select only one) 25. The difficult issues of the teamwork are (you may select more than one) 26. The most difficult part of the course to learn is (select only one) ... 27. When working on mini projects, I prefer to work with (select only one) ... 28. My favorite task(s) in mini projects have been ... 29. In the future, I would like to study FE simulation for the following topics (you may check more than one)Results and DiscussionQuestions 1 to13 are relevant to the

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Heather Louise Lai, State University of New York at New Paltz

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Diversity, Professional Papers

(2nd ed.).CRC Press.[1] S. Deshpande and A. Purwar, "A Machine Learning Approach to Kinematic Synthesis ofDefect-Free Planar Four-Bar Linkages," Journal of Computing and Information Science inEngineering, vol. 19, no. 2, p. 021004, June 2019. doi: 10.1115/1.4042325[2] C. M. O’Neill, L. S. Seif, and N. M. Kandasamy, "Deep Generative Models in EngineeringDesign: A Review," Journal of Mechanical Design, vol. 144, no. 7, p. 071704, July 2022. doi:10.1115/1.4052998[3] S. Lee, J. Kim, and N. Kang, "Deep Generative Model-based Synthesis of Four-bar LinkageMechanisms with Target Conditions," arXiv, Feb. 2024. [Online]. Available:https://arxiv.org/abs/2402.14882[4] E. Constans, Introduction to Mechanism Design: With Computer Applications, 2nd ed

Conference Session

Technical Sessions 5

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Mercy Folashade Fash, North Carolina A&T State University; Andrea Nana Ofori-Boadu, North Carolina A&T State University

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Diversity, Professional Papers

some ideas that I could have could be like really successful like this actual point.” AAMG21’s team won the prize for best bridge at the summer camp and according to her,this boosts her AEC self-efficacy.Figure 3: fAEC-KLM Components Impacting AEC Self-efficacy The self-assessment of AEC self-efficacy completed by RPs shows that the fAEC-KLMintervention appears to have had a positive impact on the AEC self-efficacy of the majority ofparticipants. 78% of participants either increased their self-efficacy or maintained a high level ofself-efficacy post intervention. This suggests that the fAEC-KLM was effective in boostingconfidence and interest in AEC among African American middle school girls. C. fAEC-KLM

Conference Session

Technical Sessions 4

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Marco Hermida, State University of New York at New Paltz; Ping-Chuan Wang, State University of New York at New Paltz; Nancy Campos, SUNY New Paltz; Aileen Pastrana, State University of New York at New Paltz; Bianca Bermudez, State University of New York at New Paltz; Shaima Herzallah, State University of New York at New Paltz; Christopher Monvil, State University of New York at New Paltz; Tenmetey Tetteh-Nartey, State University of New York at New Paltz

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support of the AC2 Program, designed to leverage both the constraint andopportunity to maximize the effectiveness in fostering the growth of technical and soft skills.Moving forward, longer-term assessment strategies will be developed to quantify itseffectiveness for further development.References[1] S. Ahn, M. Montero, D. Odell, S. Roundy, and P.K. Wright, “Anisotropic material properties of fused deposition modeling ABS,” Rapid Prototyping Journal, 8(4), pp. 248- 257, 2002.[2] D. Croccolo, M. De Agostinis, and G. Olmi, “Experimental characterization and analytical modelling of the mechanical behaviour of fused deposition processed parts made of ABS-M30,” Computational Materials Science, 79, pp. 506-518, 2013.[3

Conference Session

Technical Sessions 3

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Aiman Said Kuzmar, P. E., Islamic University of Madina, Saudi Arabia

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Diversity, Professional Papers

form showing relevant details for selectededucational institutes is provided in Appendix 1.Generally, required qualifications consist of several components including:  Academic Credentials  Research Potential (s)  Scholarly Achievements  Industrial ExperienceWhile all institutes of higher education include academic credentials at the top of the list of thequalifications, they differ on the other components. This applies to institutes in the US as well asin other parts of the world.Universities generally require research potential(s), and scholarly achievements. This is becauseuniversities in general consider research to be an essential and a vital part in their missionbesides teaching. Research universities emphasize this

Conference Session

Technical Sessions 3

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Daniel Blessner, Pennsylvania State University, Wilkes-Barre Campus

Tagged Topics

Diversity, Professional Papers

ofMathematics, Science and Technology Education, 13(7), 3829–3846.[3] Brijlall, D., & Maharaj, A. (2014). Exploring support strategies for high schoolmathematics teachers from underachieving schools. International Journal ofEducational Sciences, 7(1), 99–107.[4] Shulman, L. (1987). Knowledge and teaching: Foundations of the new reform.Harvard Educational Review, 57(1), 1–23.[5] Baumert, J., Kunter, M., Blum, W., Brunner, M., Voss, T., Jordan, A.,Klusmann, U., Krauss, S., Neubrand, M., & Tsai, Y. M. (2010). Teachers‟ 16mathematical knowledge, Cognitive activation in the classroom, and studentprogress. American Educational Research Journal, 47(1), 133–180.[6] Ball, D. L. (2000). Bridging practices

Conference Session

Technical Sessions 4

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Tracey Carbonetto, Pennsylvania State University, Allentown

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Diversity, Professional Papers

students that contained a question thatcould have been answered by reading the syllabus. The occurrences were tallied and totaled at theend of the 12-week 2023 session. A revised approach to syllabus review was developed within the technical contract reviewframework which demands the reviewer pays attention to the details and ensures all aspects arecompliant to the intent(s). The instructor incorporated aspects of this framework into anassessment assigned after students were instructed to read the syllabus (Farmer & Hu, 2018). Thisassessment included select-response and open-ended questions that guided the student in thepractice of technical contract review. After a brief description and examples of such terms asobservables, conditions

Conference Session

Technical Sessions 4

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Raymond K.F. Lam, The City University of New York, Queensborough Community College; Uzair Ali Abbas, City University of New York, Queensborough Community College; Bernard Hunter; Joseph A Seiter, City University of New York, Queensborough Community College

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Society for Engineering Education, 2024 Flexural Mechanical Properties and Microstructures of Three- Dimensional (3D) Printed Thermoplastics Raymond K.F. Lam, Uzair Abbas, Bernard Hunter, and Joseph Seiter Queensborough Community College, The City University of New York, New York, U.S.A. 1. Introduction Three-dimensional (3D) printing or additive manufacturing is utilized to manufacture products in industries of aerospace, automotive, and medical [1]. One example is General Electric (GE)’s decision to deploy 3D printers to manufacture nozzles for its LEAP engines. GE Aviation projects have printed more than 30,000 fuel nozzle tips in 2018 [2]. Manufacturing by 3D printing is experiencing an explosive

Conference Session

Technical Sessions 4

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Heather Lai, State University of New York at New Paltz; Anne C Balant, State University of New York at New Paltz

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Diversity, Professional Papers

condensed project is critical for providing student with a wholistic view of what must beconsidered when developing engineering solutions, in accordance with ABET student outcomes2 and 4. Exposure to human subject research such as the project described here, is critical forfuture engineers and scientists, as it provides a framework for considering human factors in theirfuture engineering and scientific work.References [1] K. L. Hansen, P. Nguyen, G. Micic, B. Lechat, P. Catcheside, & B. Zajamšek (2021). Amplitude modulated wind farm noise relationship with annoyance: A year-long field study. The Journal of the Acoustical Society of America, 150(2), 1198–1208. https://doi.org/10.1121/10.0005849 [2] C. Ioannidou, S

Conference Session

Technical Sessions 2

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Guozhen An, City University of New York, Queensborough Community College; David Mannes, City University of New York, Queensborough Community College; Dugwon Seo, Queensborough Community College, CUNY

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Diversity, Professional Papers

promote the apprenticeship program and preparestudents to apply. The following procedure was used to prepare the apprenticeship cohort underdiscussion here. During the summer prior to the apprenticeship, a full list of all students in theaccepted major(s) was requested from the school and was filtered by GPA and course creditcompletion. Then the remaining students were individually reviewed for program eligibility, andindividual outreach was conducted over the summer to form a cohort of interested and eligibleapprenticeship applicants.Toward the beginning of the Fall semester, a member of Career Services responsible forcoordinating the apprenticeship program began conducting individual meetings with students.These sessions were typically 45