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ASEE Mid-Atlantic Section Spring Conference

Authors

Branko S. Bokan, The George Washington University; Joost R. Santos, The George Washington University

Paper ID #45008Threat Modeling for Optimal Enterprise Protections Against KnownCybersecurity ThreatsMr. Branko S. Bokan, The George Washington University Branko Bokan is a PhD candidate at the School of Engineering and Applied Science, George Washington University under professor Joost Santos. Branko is a Cybersecurity expert at the Cybersecurity and Infrastructure Security Agency (CISA) at the Department of Homeland Security (DHS). In his professional role he is responsible for defending the Federal Civilian Executive Branch of the U.S. government against cyber threats and building a cyber resilient federal enterprise.Dr

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ASEE Mid-Atlantic Section Spring Conference

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Bradley J. Sottile, The Pennsylvania State University; Arun Srivats Mohan, Pennsylvania State University; Frank Christopher Barber

validated via internal team member checking (Creswell & Miller, 2020), andare further explored herein.Results and DiscussionAs of the writing of this paper, the professional ethics micro-credential is nearing completion. Inthis section, we dwell on how the micro-credential creation process itself went. Mindful ofMercer-Mapstone et al.’s (2017) observation that partnership challenges are likely underreportedin the literature, we do not shy away from discussing both challenges and advantages. Weindividually examine our views as participants in the co-creation experience before turning ourcollective attention back towards anticipated future work.Student PerspectiveThe micro-credential creation process has been a thrilling experience for me

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ASEE Mid-Atlantic Section Spring Conference

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Maxine Fontaine, Stevens Institute of Technology (School of Engineering and Science); Frank T Fisher, Stevens Institute of Technology (School of Engineering and Science); Ashley Lytle

dimensions defined above. Measuring AE levels across variouspopulations, e.g. engineering students vs. working professionals, could provide insight into howadaptiveness progresses over time and eventually how targeted activities can be designed todevelop these types of cognitive skills in our engineering students.Currently there is very limited data on AE measurements of any population. In this study, we aimto establish baseline measurements of these dimensions by collecting and analyzing survey datafrom first-year students in STEM fields over multiple years. This research is conducted inconjunction with an NSF S-STEM program aimed to support our limited income studentsthrough scholarship, mentorship, and workshops centered around AE. Accordingly

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ASEE Mid-Atlantic Section Spring Conference

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Caitlin Grady, The George Washington University

. 195–225, 2000.[12] L. J. Shuman, M. Besterfield‐Sacre, and J. McGourty, “The ABET ‘Professional Skills’ — Can They Be Taught? Can They Be Assessed?,” J. Eng. Educ., vol. 94, no. 1, pp. 41–55, 2005, doi: 10.1002/j.2168-9830.2005.tb00828.x.[13] C. E. Harris, M. Davis, M. S. Pritchard, and M. J. Rabins, “Engineering Ethics: What? Why? How? And When?,” J. Eng. Educ., vol. 85, no. 2, pp. 93–96, Apr. 1996, doi: 10.1002/j.2168-9830.1996.tb00216.x.[14] D. R. Haws, “Ethics Instruction in Engineering Education: A (Mini) Meta-Analysis,” J. Eng. Educ., vol. 90, no. 2, pp. 223–229, 2001, doi: 10.1002/j.2168-9830.2001.tb00596.x.[15] J. R. Herkert, “Engineering ethics education in the USA: Content, pedagogy and curriculum,” Eur. J

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ASEE Mid-Atlantic Section Spring Conference

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Alexander John De Rosa, University of Delaware; Teri Kristine Reed, OU Polytechnic Institute

such as GPAs, scores in prior courses from which the knowledge is to betransferred, etc. To date however, this has not been done. Finally, the think aloud methodologyused in this study has been shown in the past to positively influence student performance suchthat this activity may overestimate actual student performance “in the field” (Gagne et al., 1962;Davis et al., 1968).4. Presentation of DataThis paper presents data taken from the analysis of a single interview from this study. In this casea faculty member in a mechanical engineering department was the participant. Two main themesemerged in the analysis of the data; (1) the extensive use of reflection by the participant inevaluating their problem solving approach and solution(s); (2) the

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ASEE Mid-Atlantic Section Spring Conference

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Gautom Kumar Das, University of Maryland Baltimore County

aboveinformation? Assume an effective interest rate of 10% per year.(b) If the service of the Pickup Truck will no longer be required in the future, at what price the PickupTruck must be sold now to recover the remaining invested capital?(c) Comment on the resale value of the Truck. What percentage is it compared to the original price?You must show your work with a cash flow diagram(s).”The problem aimed to assess the students’ work through the following three performanceindicators (PI): 1. Draw a cash flow diagram by interpreting the time of references. 2. Recognize and apply the appropriate time-money relationship to estimate the equivalent annual cost for the investment. 3. Apply appropriate analysis to calculate the

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ASEE Mid-Atlantic Section Spring Conference

Authors

Eileen Haase PhD, The Johns Hopkins University; Gyeongtae Sun Moon, The Johns Hopkins University; Meera R Bhat, The Johns Hopkins University

Introductory Biomedical Engineering Course Meera R. Bhat*, Gyeongtae S. Moon*, Angela J. Sadlowski*, Eileen Haase* 1. Department of Biomedical Engineering, Johns Hopkins University, *Co-Primary Authors Abstract Methodology Result Observations & Future PlansThe Effective Teaching and Management of Engineering Teams (ETMET) course Rationale of Each Module s

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ASEE Mid-Atlantic Section Spring Conference

Authors

Daniel Fisher, The George Washington University; James P Ferguson, The George Washington University; Esha Niraj Patel, The George Washington University; Gujri Ahluwalia, The George Washington University; Joseph Anthony Barbera M.D., The George Washington University; Joost R. Santos, The George Washington University

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-maker for their preferred load balancing metrics asdescribed above and in Table 1. Then, it displays the list of “adequate” HCFs in the order of thespecified metric(s).A second key aspect of GUI development is usability testing—ensuring potential end-users findit both accurate and functionally useful. To assess this prototype’s GUI usability, three medicalexperts operated the GUI to assign a cohort of patients and then report their satisfaction level,using a short survey, for both ease-of-use and perceived decision accuracy.Results:The developed algorithm and GUI were tested for accuracy and usability. Using the previouslydefined tests, the algorithm correctly matched each patient to their “adequate” HCF(s). For theGUI, its accuracy and

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ASEE Mid-Atlantic Section Spring Conference

Authors

Erica Cusi Wortham, GW Engineering; Zoe Szajnfarber; Robert Pless, The George Washington University; Ryan Watkins, The George Washington University

Accountability of Algorithms,” J Bus Ethics, vol. 160, no. 4, pp. 835–850, Dec. 2019, doi: 10.1007/s10551-018-3921-3.[5] S. Newell and M. Marabelli, “Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of ‘Datification,’” SSRN Journal, 2015, doi: 10.2139/ssrn.2644093.[6] S. Faraj, S. Pachidi, and K. Sayegh, “Working and organizing in the age of the learning algorithm,” Information and Organization, vol. 28, no. 1, pp. 62–70, Mar. 2018, doi: 10.1016/j.infoandorg.2018.02.005.[7] P. Singh, “Beyond the basics: Exploring the impact of social media marketing enablers on business success,” Heliyon, vol. 10, no. 5, p. e26435, Mar. 2024, doi: 10.1016/j.heliyon

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ASEE Mid-Atlantic Section Spring Conference

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Alexa Joelle Prince, Pennsylvania State University; Nelly Cecilia Perez, Pennsylvania State University, Berks Campus; Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus; Abdullah Konak, Pennsylvania State University, Berks Campus

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competitions-The benefits and challenges,"‬ i‭n‬‭American Society of Engineering Education Annual‬‭Conference & Exposition‬‭,‬ ‭Chicago, Illinois, June 18-21 2006, pp. 11.1155.1 - 11.1155.11.‬‭[2]‬ ‭S. Kulturel-Konak, "Overview of Student Innovation Competitions and Their Roles in‬ ‭STEM Education," in‬‭2021 Fall ASEE Middle Atlantic‬‭Section Meeting‬‭, 2021. [Online].‬ ‭Available:‬‭https://peer.asee.org/38445‬‭.‬‭[3]‬ ‭S. Kulturel-Konak, A. Konak, K. Mehta, and D. R. Schneider, "Fostering Innovation‬ ‭Mindset through Student Innovation Competitions and Programs," presented at the ASEE‬ ‭Zone 1 Conference, University Park, PA, March 30-April 1, 2023.‬‭[4

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ASEE Mid-Atlantic Section Spring Conference

Authors

Devang Jayachandran, Pennsylvania State University, Harrisburg, The Capital College; Jeremy Joseph Blum, Pennsylvania State University, Harrisburg, The Capital College

that can improve GPT-4's code-generationaccuracy and randomness with changes to the model’s temperature and system prompts. Weassess the optimal temperature for GPT-4 to better enable its code-generation capabilities andobserve the change in code correctness based on the personality provided to GPT-4. We proposea pipeline built upon GPT-4 that can generate accurate python code for complex questions incompetitive programming contests. The result is a robust framework that utilizes dynamicsystem prompts to generate code and modify the solution. It includes a feedback loop with GPT-4 that will iteratively remove syntactical errors present in the generated code. In addition, weexplore its capabilities in generating sample test cases to check the

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ASEE Mid-Atlantic Section Spring Conference

Authors

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

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Education Theory & Practice, vol. 21, no. 9, 2021.[2] S. Kulturel-Konak, "Overview of Student Innovation Competitions and Their Roles in STEM Education," in 2021 Fall ASEE Middle Atlantic Section Meeting, 2021. [Online]. Available: https://peer.asee.org/38445.[3] D. Smith, J. Muldoon, and G. S. Lakshmikanth, "The need for modification: The impact of COVID-19 on pitch competitions," Entrepreneurship Education and Pedagogy, vol. 5, no. 4, pp. 686-702, 2022.[4] A. Konak, S. Kulturel-Konak, D. R. Schneider, and K. Mehta, "Best Practices for Cultivating Innovative Thinking Skills in Innovation Competitions and Programs," in 2023 IEEE Frontiers in Education Conference (FIE), College Station, TX, USA

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ASEE Mid-Atlantic Section Spring Conference

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Charlotte Gottilla, University of Delaware

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Education, vol. 32, no. 3(A), pp. 1194-1207, 2016.[2] A. Schüler-Meyer, M. Hendrickx, C. Verhoosel, “The intended and unintended impacts on student ownership when realizing CBL in mechanical engineering,” European Journal of Engineering Education, vol. 48, pp. 340-357, 2023.[3] D. Dounas-Frazer, L. Ríos, H. J. Lewandowski, “Preliminary model for student ownership of projects” in Proceedings of the Physics Education Research Conference (PERC), Provo, Utah, USA, July 24-25, 2019, Y. Cao, S. Wolf, M. Bennett, pp. 141-146, 2020.[4] A. H. Jamal, M. Essawi, T. Oleg, “Accountability for project-based collaborative learning,” International Journal of Higher Education, vol. 3, no. 1, pp. 127-135, 2014.[5] T. Bauer, B

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ASEE Mid-Atlantic Section Spring Conference

Authors

Daniel Blessner, Pennsylvania State University, Wilkes-Barre Campus

: Issues in assessment, instruction, andevaluation. Elsevier.8. Davis, S. G., & Gray, E. S. (2007). Going beyond test-taking strategies:Building self-regulated students and teachers. Journal of Curriculum andInstruction, 1(1), 31-47. 11

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ASEE Mid-Atlantic Section Spring Conference

Authors

Esther T. Ososanya, University of the District of Columbia; Devdas Shetty, University of the District of Columbia; Sougre Nonma Flavie Stephanie Rouamba, University of the District of Columbia; koffi Fonzan, University of the District of Columbia; Phillip Wright, University of the District of Columbia

the USV's Sciences, vol. 42, 2017.associated with manned vessels, crucial for preserving communication network, control and provides 2. C. Specht, E. S´witalski, and M. Specht,delicate ecosystems. Moreover, USVs navigate close to the operator with real-time information about

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ASEE Mid-Atlantic Section Spring Conference

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Rowena Kay Mascarenhas, TiE Boston; Adam B. Carter, TiE Boston

their own company. Timmons (Timmons, J. &Spinelli, S., 2004)[19], asserts that formal education has limited capacity to instillentrepreneurial drive in students, primarily due to schools offering minimal courses onbusiness knowledge and preparation. However, with programs like TYE which are scalableand replicable, students find it easier to move into entrepreneurship.Conclusion & Implications for Further ResearchIn conclusion, the responses collected from TYE participants demonstrate that TYE-supported entrepreneurial education and training positively influences students to pursue acareer in STEM and/or start their own company. Moreover, the student-led startups werefocused on value creation for other people. Engaging with programs such

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ASEE Mid-Atlantic Section Spring Conference

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Fisseha Gebre, University of the District of Columbia; Devdas Shetty, University of the District of Columbia; JIAJUN XU P.E., University of the District of Columbia

in a simple equation shown in equation (1) [41]. These variables are laser power,scan speed, hatching distance and layer thickness. The relationship between energy density, laserpower, scan speed, hatching distance and layer thickness can be expressed as, 𝑃𝐿 𝐸=𝑣 (1) 𝑠 ×ℎ𝑠 ×𝑠Where, E is Energy Density J/mm3, PL is the laser power, vs the scan speed, hs the hatching distance and s the layer thickness. The governing equation shown in Equation (1) can guide us to systematically control theparameters in metal 3D printing process. One of the issues that need to be controlled in metal AMis porosity

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ASEE Mid-Atlantic Section Spring Conference

Authors

Royce A Francis, The George Washington University; James P Ferguson, The George Washington University

can be evaluated using quantifiable and/or measurable attributes. Students may choose to formulate and evaluate policies, standards, infrastructure system components, projects with which they have had past or other experience, small-scale integrated infrastructure systems (such as low-impact development projects), or small-scale interdependent networked infrastructure systems (such as campus-wide roadway networks). • To use benefit-cost analysis or multi-criteria decision analysis to justify infrastructure system actions and/or recommendations. • To explore the robustness of the proposed action(s) or recommendation(s) to uncertainties in the decision context using sensitivity

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ASEE Mid-Atlantic Section Spring Conference

Authors

Joshua Halpern, Prince George's Community College and LibreTexts; Nadene Houser-Archield, Prince George's Community College; Neeharika Thakur; Scott D. Johnson, Prince George's Community College; Scott A Sinex, Prince George's Community College

/j.2168-9830.2003.tb00769.x March 4, 2024.[2]. National Academies of Sciences, Engineering, and Medicine. “Barriers and Opportunities for2-Year and 4-Year STEM Degrees: Systemic Change to Support Diverse Student Pathways.Committee on Barriers and Opportunities in Completing 2-Year and 4-Year STEM Degrees." S.Malcom and M. Feder, Editors. Board on Science Education, Division of Behavioral and SocialSciences and Education. Board on Higher Education and the Workforce, Policy and GlobalAffairs. Washington, DC: The National Academies Press 2016. DOI: 10.17226/21739. Accessedat https://nap.nationalacademies.org/login.php?record_id=21739 March 4, 2024.[3]. M. Laugerman, D. Rover, M. Shelley, and S. Mickelson. “Determining graduation rates

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ASEE Mid-Atlantic Section Spring Conference

Authors

Roni A. Romero Melendez, University of the District of Columbia; Nian Zhang, University of the District of Columbia; J'niya Butler, University of the District of Columbia; Wagdy H Mahmoud P.E., University of the District of Columbia; Lara A Thompson, University of the District of Columbia

#1R25AG067896-01.Reference[1] M. U. Zahid, S. Kiranyaz and M. Gabbouj, "Global ECG Classification by Self-OperationalNeural Networks With Feature Injection," in IEEE Transactions on Biomedical Engineering, vol.70, no. 1, pp. 205-215, 2023, doi: 10.1109/TBME.2022.3187874.[2] “Heart Disease Facts.” Centers for Disease Control and Prevention, Centers for DiseaseControl and Prevention, 15 May 2023, www.cdc.gov/heartdisease/facts.htm.[3] “Cardiovascular Diseases.” World Health Organization, World Health Organization,www.who.int/health-topics/cardiovascular-diseases#tab=tab_1. Accessed 19 Mar. 2024.[4] Waveform Segmentation Using Deep Learning - MATLAB.https://www.mathworks.com/help/signal/ug/waveform-segmentation-using-deep-learning.html.[5] N. Zhang, B

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ASEE Mid-Atlantic Section Spring Conference

Authors

Sofia M Vidalis, Pennsylvania State University, Harrisburg, The Capital College; Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College

of VR technology in the CMII courseto find out the student’s feedback and experiences. The questions that were asked were: 1. Have you used virtual reality technology in any other courses? If so, which one/s and to what extent? 2. How would you rate the ease of use of virtual reality technology compared to traditional approaches in class? 3. Do you feel more engaged when using virtual reality technology in class or for class assignments? Why? 4. In your opinion, has the use of virtual reality technology had a positive impact on your learning? Why? 5. Overall, how satisfied are you with using virtual reality technology in your course/s?The survey was given to 14 students in their senior year. It was found that 64

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ASEE Mid-Atlantic Section Spring Conference

Authors

Tracey Carbonetto, Pennsylvania State University, Allentown

Engineering Education, 104(1), 7-34.Hirudayaraj, M., Baker, R., Baker, F., & Eastman, M. (2021). Soft-skills for entry-level engineers: What employers want. Educational Science, 11(641).Hess, D. (2020). Transitioning to a leadership role. Chemical Engineering Progress, 116(1), 46- 49.Hutson, J., Valenzuela, M., Hosto-Marti, B., & Wright, S. (2023). The role of higher education in developing durable skills: Reframing general education. Journal of Higher Education Theory and Practice, 23(3), 1-12.Kendall, M., Chachra, D., Roach, K., Tilley, E., & Gipson, K. (2018). Convergent approaches for developing engineering leadership in undergraduates [Paper presentation]. 2018 American Society of Engineering

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ASEE Mid-Atlantic Section Spring Conference

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Stephanie L. Walkup PE, Villanova University; Shawn P. Gross, Villanova University; Jeffrey Joseph Cook, Villanova University

://peer.asee.org/448413. Evans, M. J., & Esparragoza, I. E. (2019, July), Inspiring and Engaging First-Year Engineering Students at a Small Campus Through International Team Design Projects Paper presented at 2019 FYEE Conference, Penn State University, Pennsylvania. https://peer.asee.org/337144. Walkup, S. L., & Komlos, J., & Waters, K. A. (2021, July), Lessons Learned From Moving a Civil Engineering Fundamentals Course From Second-Year to the First Year Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1- 2—374415. K.P.Brannan and P.C. Wankat, Survey of first-year programs, ASEE Annual Conference and Exposition, Conference Proceedings, Portland Oregon, 2005.6. Clark, A

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ASEE Mid-Atlantic Section Spring Conference

Authors

Matthew Rhudy, Pennsylvania State University, Berks Campus

knowledge and fun in the classroom.Journal of Nursing Education, 49(6), 363-364.5 Browne, J. H. (2013). Effective use of humor in teaching college-level business courses: Assessing an instructor’shumor quotient. Journal of American Academy of Business, Cambridge, 18(2), 226-232.6 Thiagarajan, S., & Tagliati, T. (2011). Jolts! Activities to Wake Up and Engage Your Participants. John Wiley &Sons.7 Tamblyn, D., & Weiss, S. (2000). The big book of humorous training games. McGraw Hill Professional.8 Rhudy, M., & Nathan, R. (2016, June). Fluids Friday! A Method for Improving Student Attentiveness andLearning in the Classroom. In 2016 ASEE Annual Conference & Exposition.9 Rhudy, M. B. (2023). Mechanism of the week: An approach for

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ASEE Mid-Atlantic Section Spring Conference

Authors

Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College; Sofia M Vidalis, Pennsylvania State University, Harrisburg, The Capital College

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/366809571_A_Brief_Review_of_ChatGPT_Its_Value_and_the_Underlying_GPT_TechnologyMalaysian Bar. (2020). Press Comment | Tertiary Legal Institutions Should Enhance the Qualityof Legal Training for Students. Retrieved 11 April 2021, fromhttps://www.malaysianbar.org.my/article/about-us/president-scorner/pressstatements/press-comment-tertiary-legal-institutions-should-enhance-thequality-of-legal-training-for-studentsPerdana, I., Manullang, S. O., & Masri, F. A. (2021). “Effectiveness of online Grammarlyapplication in improving academic writing: review of experts experience”. International Journalof Social Sciences, 4(1), pp. 122-130. https://doi.org/10.31295/ijss.v4n1.1444Qassemzadeh, A., & Soleimani, H. (2016). The impact of feedback provision by Grammarlysoftware and teachers on learning passive structures by Iranian EFL

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ASEE Mid-Atlantic Section Spring Conference

Authors

Stephen McGill Jr, Villanova University; Rebecca McGill, Villanova University

. Table 1: Listed are the Prompts Provided for Students before each Quiz. Assessment Prompt(s) Quiz 1 “Can you give me some examples problems to prepare for a quiz on spring- mass-damper systems?” Quiz 2 “Can you give me some examples problems to prepare for a quiz on harmonic forcing in spring-mass-damper systems?” Follow-up: “Yes, please solve problem 3.” Quiz 3 “Can you form example equations of motion using second order ODEs that can be solved via the Laplace transform? Please use specific initial conditions and external forcing functions.”Besides the prompts for the exam topics, students were provided ChatGPT-generated solutions tohomework

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ASEE Mid-Atlantic Section Spring Conference

Authors

Gary P. Halada, Stony Brook University; Shyam Lal Sharma Sharma P.E.; Lori Scarlatos; Yi Zhang, Stony Brook University

Learning, EC-TEL 2019, Delft, The Netherlands, September 16–19, 2019,Proceedings 14, pp. 294-307. Springer International Publishing, 2019.[5] K. Doymus and A. Karakop, Effects of Jigsaw and Animation Techniqueson Students Understanding of Concepts and Subjects in Electrochemistry.Educational Tech Research Dev, vol. 58: pp. 671-691, 2011.[6] Han-Yu Sung and Gwo-Jen Hwang, A collaborative game-based learning approach toimproving students' learning performance in science courses, Computers & Education, Volume63,pp. 43-51, 2013.[7] Jialing Zeng, Sophie Parks, and Junjie Shang. "To learn scientifically, effectively, andenjoyably: A review of educational games." Human Behavior and Emerging Technologies, vol.2, no. 2, pp.186-195, 2020.[8] Malcolm S

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ASEE Mid-Atlantic Section Spring Conference

Authors

Pooja Thakkar Singh, American Society of Mechanical Engineers; Debra Ann Pothier, Autodesk, Inc.; Anand Sethupathy, American Society of Mechanical Engineers; Geraldine Gooding, American Society of Mechanical Engineers; David Soukup P.E., American Society of Mechanical Engineers; Jarrett Reich, American Society of Mechanical Engineers; Morgan Lamarre, American Society of Mechanical Engineers; James Stewart Warrick

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