Collection

2024 ASEE North East Section

Authors

Christina Cao, .; Danushka Bandara, Fairfield University

. (2019). RoBERTa: A robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692. Title Suppressed Due to Excessive Length 7 6. Caswell, I., Kreutzer, J., Wang, L., Wahab, A., van Esch, D., Ulzii-Orshikh, N., ... Adeyemi, M. (2021, March). Quality at a glance: An audit of web-crawled multi- lingual datasets. arXiv e-prints. arXiv:2103.12028. 7. Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., ... Fiedel, N. (2022). PaLM: Scaling language modeling with pathways. arXiv abs/2204.02311. 8. Zhang, S., Roller, S., Goyal, N., Artetxe, M., Chen, M., Chen, S., ... Zettle- moyer, L. (2022). OPT: Open pre-trained transformer language models. arXiv

Collection

2024 ASEE North East Section

Authors

Saddam Alkhamaiesh, University of Bridgeport; Peter Francis Cavanaugh, University of Bridgeport

growth. requirements, equips individuals for prosperous careers in this domain, and aids in the advancement and evolution of the Keywords— Electric Vehicle, Training Programs, NEVI electric vehicle industry.Program, Zone of Proximal Development (ZPD), Adult LearningTheory, Bipartisan Infrastructure Law (BIL), Electric Vehicle A. The Biden-Harris Administration's Vision for an ElectricTechnicians Vehicle Revolution In June of 2022, the Biden

Collection

2024 ASEE North East Section

Authors

Mirco Speretta, Fairfield University

. NortonOnline. (n.d.). 115 cybersecurity statistics + trends to know in 2023. Official Site. Retrieved March 2, 2023, from https://us.norton.com/internetsecurity-emerging-threats-cybersecurity-statistics.html# 2. Skiba, K. (2022, November 30). FBI: Nearly $7 billion lost to cybercrime in 2021. AARP. Retrieved March 2, 2023, from https://www.aarp.org/money/scams-fraud/info-2022/fbi-internet-crime-report.html#:~:text=Ameri cans%20was%20hit%20by%20an,and%20 losses%20 surpassing%20%246.9%20 billion. 3. Jibilian, I. (n.d.). The US is readying sanctions against Russia over the SolarWinds cyber attack. Here's a simple explanation of how the massive hack happened and why it's such a big deal. Business Insider. Retrieved

Collection

2024 ASEE North East Section

Authors

PS Dhanasekaran, State University of New York, Canton

past few years, bothbefore and after implementing the interactive learning method, will be conducted, and the resultswill be compared in the Figure 1. The years 2020 and 2021 are before introducing interactivelearning, and the years 2022 and 2023 are after introducing interactive learning. Quizperformance shows improvement over an average of 13% pre- and post-interactive learning.Table .1 Average grades for the years 2020 to 2023 # Quiz-1 Quiz-2 Quiz-3 Quiz-4 Quiz-5 Quiz-6 Quiz-7 Average Year 2020 76 87 69.5 81.4 77.7 66.9 81.2 77.1 2021 78 82 79 75 90 81 77 80.3 2022 87.9 85.3 100 98.3

Collection

2024 ASEE North East Section

Authors

Eric UWAYEZU, UNIVERSITY OF BRIDGEPORT

, gender, and location. The user profile could also track consumer behaviors on social media and use the saidhave additional elements portraying sophisticated aspects information for targeted advertising.such as behaviors, personal attribute, and preferences. The Machine learning comes in handy in conductingdevelopment of user profiles is made possible after going targeted advertising and determining social media users’through vast personal information shared on social media, attitudes towards this mode of advertising to determinewhich bypasses an individual’s privacy rights. Social media suitability. Ziakis and Kydros (2022) highlight the utilizationusers publish posts to communicate

Collection

2024 ASEE North East Section

Authors

Peter Francis Cavanaugh, University of Bridgeport

Tagged Topics

Diversity

much detail to provide in the recommendations from an [2] Indira N. Z. Day, Nadira Saab & Wilfried Admiraal (2022) Online peerAI coach to have maximum development. feedback on video presentations: type of feedback and improvement of The perception of improvement in oral communication presentation skills, Assessment & Evaluation in Higher Education, 47:2, 183-197skills is notable, with 80% of respondents reporting a positive [3] Terblanche, Nicky, Joanna Molyn, Kevin Williams, and Jeanette Maritz.impact. This suggests that

Collection

2024 ASEE North East Section

Authors

Robin Chataut, Quinnipiac University; YUSUF USMAN, Quinnipiac University; Frederick Scholl, Quinnipiac University

of technology and business strategy make him a well-rounded cybersecurity expert.Dr. Frederick Scholl, Quinnipiac University ©American Society for Engineering Education, 2024 Unveiling Cyber Threats: A Comprehensive Analysis of Connecticut Data BreachesAbstractData breaches continue to be a pervasive threat in the digital landscape, impacting bothbusinesses and individuals. This study conducts a thorough empirical analysis of Connecticut'sdata breaches in 2022, analyzing the data provided by The Office of the Attorney General,Connecticut. Our methodology involves a detailed examination of the breach records, focusingon the types of companies affected, methodologies of the

Collection

2024 ASEE North East Section

Authors

Sriharsha S. Sundarram, Fairfield University

that thepercentage of students achieving Meets and Above Expectation on the two ABET 7 sub outcomesis above the departmental threshold of 75%. The data also identified areas for improvement suchas citing sources and component selection, which are specific to the project that was implemented.References[1] C. McCullough and C. Wigal, “How Prepared Are We for ABET’s New Outcome 7?,” in 2019 ASEE Southeast Section Conference Proceedings, Raleigh, NC: ASEE Conferences, 2019.[2] J. Mynderse, “Assessing ABET Student Outcome 7 (New Knowledge) with Measurement Systems,” in 2022 ASEE Annual Conference & Exposition Proceedings, Minneapolis, MN: ASEE Conferences, Aug. 2022, p. 40917. doi: 10.18260/1-2--40917.[3] A. Szatmary, “Tools for

Collection

2024 ASEE North East Section

Authors

Abhishek Kumar, Wentworth Institute of Technology

WentworthInstitute of technology. In this 3 credit course Senior students learn about basic of Vibration. Themajor student outcomes of the course are that the student must be able to a) derive the systemdifferential equations for single (one) and multiple degree-of-freedom vibrating systems {sdf andmdf systems}; b) solve for the analytical solutions for single degree-of-freedom systems for freeand forced responses; c) solve analytically for the natural frequencies and mode shapes formultiple degree-of-freedom systems, with primary emphasis on two degree-of-freedom systems;d) design a simple vibration absorber system. The prerequisite for the course is EngineeringDynamics course. When I taught this course for 1st time in Spring 2022 the majority of class

Collection

2024 ASEE North East Section

Authors

Kyle Riccardi; Danushka Bandara, Fairfield University

modeling.Conclusion: In conclusion, this model shows good results, while also holding promise for futureimprovements. The next step for our research is to get feedback from historians on how usefulthe model is and how we can improve the output to be more useful to them. Limited data is aissue within multiple ancient languages due to texts being damaged through age, lost, or basedon reliability of word of mouth. Another path for future research includes using such models inother ancient languages with limited data availability.References:Bibliography(1)Assael, Y., Sommerschield, T., Shillingford, B. et al. Restoring and attributing ancient textsusing deep neural networks. Nature 603, 280–283 (2022). HYPERLINK"https://doi.org/10.1038/s41586-022-04448-z

Collection

2024 ASEE North East Section

Authors

ZANNATUN NAYEEM, University of Bridgeport; Dan Tenney, University of Bridgeport; Tauhid Uddin Mahmood, University of Bridgeport

Supply Chain Forum: An International Journal (Vol. 21, No. 3, pp. 158-172). Taylor & Francis.2. Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of Operations Research, 333(2), 627-652.3. Fernandez-Giordano, M., Stevenson, M., Gutierrez, L., & Llorens-Montes, J. (2022). Antecedents of a firm’s supply chain agility: the roles of a transactive memory system and supply network flexibility. Supply Chain Management: An International Journal, 27(5), 637-662.4. Giannakis, M., & Papadopoulos, T. (2016). Supply chain

Collection

2024 ASEE North East Section

Authors

Tahmid Latif, Wentworth Institute of Technology

it in mechanics. The goal wasto design the course such that its materials would cater to the strengths and weaknesses of thestudents. The course was first offered in the Fall of 2022 as a technical elective to be taken byengineering students, primarily from the aforementioned majors.Course OverviewStudents were introduced to basic concepts and applications of robotics, including topics onsensors and actuators, kinematics, control systems, localization, and state-of-the-art industrypractices and future directions. The project-based course included laboratory exercises thatallowed students to develop programs and assemblies to work on robotic manipulators andmobile robots. To begin with, students needed to understand and analyze the five

Collection

2024 ASEE North East Section

Authors

Susan Freudzon, Fairfield University

Feb. 26, 2024). [7] R. E. McGinn, “Startup ethics: Ethically responsible conduct of scientists and engineers at Theranos,” Science and Engineering Ethics, vol. 28, no. 5, Aug. 2022. doi:10.1007/s11948-022-00393-2

Collection

2024 ASEE North East Section

Authors

Jessica Dawn Ventura, Endicott College; Rob De La Espriella, Endicott College

://www.pathways.cu.edu.eg/subpages/training_courses/C10-Analytical-EN.pdf[5] P. C. Abrami, R. M. Bernard, E. Borokhovski, D. I. Waddington, C. A. Wade, and T. Persson, “Strategies for Teaching Students to Think Critically: A Meta-Analysis,” Review of Educational Research, vol. 85, no. 2, pp. 275–314, Jun. 2015, doi: 10.3102/0034654314551063.[6] D. T. Tiruneh, A. Verburgh, and J. Elen, “Effectiveness of Critical Thinking Instruction in Higher Education: A Systematic Review of Intervention Studies,” HES, vol. 4, no. 1, p. p1, Jan. 2014, doi: 10.5539/hes.v4n1p1.[7] R. De La Espriella, “Critical Thinking: A Modern Practitioner’s Journey of Discovery.” 2020. [Online]. Available: https://bluedragon1-ips.com/wp-content/uploads/2022/11/2020-07

Collection

2024 ASEE North East Section

Authors

Hammad Mansoor, Fairfield University; Danushka Bandara, Fairfield University

, C., Gannon, W. L., Madhusudhana, S., & Thomas, J. A. (2022).Detection and classification methods for animal sounds. Exploring Animal Behavior ThroughSound, 1, 269-317.[4] Astuti, W., Aibinu, A. M., Salami, M. E., Akmelawati, R., & Muthalif, A. G. (2011,May). Animal sound activity detection using multi-class support vector machines. In 20114th international conference on mechatronics (ICOM) (pp. 1-5). IEEE.[5] Ruff, Z. J., Lesmeister, D. B., Appel, C. L., & Sullivan, C. M. (2021). Workflow andconvolutional neural network for automated identification of animal sounds. EcologicalIndicators, 124, 107419.[6] Singh, N. (2020). Classification of animal sound using convolutional neural network.[7] Nunes, L., Ampatzidis, Y., Costa, L

Collection

2024 ASEE North East Section

Authors

Susannah GAL, Wentworth Institute of Technology

] C. Davis, and E. Wilcock, “Case studies in Engineering,” in Effective Learning and Teaching inEngineering, C. Baillie and I. Moore, Eds, London: Rutledge Falmer publishers, 2004, pp. 51-71.[4] P.K. Raju and C.S. Sankar (2013) “Teaching Real-World Issues through Case Studies,” Journal ofEngineering Education, vol. 88, pp. 501-508, 2013.[5] V. Edmondson and F. Sherratt, “Engineering judgement in undergraduate structural designeducation: enhancing learning with failure case studies”, European Journal of Engineering Education,vol. 47, no. 4, pp. 577-590, 2022.[6] A. Yadav, M. Vinh, G.M. Shaver, P. Meckl and S. Firebaugh, “Case-based instruction: Improvingstudents' conceptual understanding through cases in a mechanical engineering course

Collection

2024 ASEE North East Section

Authors

John F Drazan, Fairfield University; Emily J. Hangen, Fairfield University

Tagged Topics

Diversity

methods to assessstudents’ approach and avoidance motivations such as self-reports of achievement goals andcardiovascular assessments of stress states. My perspective is also informed by a variety of education-relevant motivation theories such as achievement goal theory (Huang, 2012; Hulleman et al., 2012), self-determination theory (Deci & Ryan, 2012), expectancy-value theory (Eccles, 2009), attribution theory(Kelley & Michela, 1980), and concepts such as sense of belonging (Ma, 2003), grit (Duckworth &Quinn, 2009), mindsets (Dweck, 2006), sense of purpose (Malin, 2022), and more. My ultimate aim is toadvance motivation theory while developing targeted interventions that facilitate optimal studentmotivation, performance, and

Collection

2024 ASEE North East Section

Authors

Sunil Dehipawala, City University of New York, Queensborough Community College; Kelvin Kai Yao; Philip Park, City University of New York, Queensborough Community College; Tak Cheung

Teacher November 2020.https://par.nsf.gov/servlets/purl/10210622[14] Cindy Decker Raynak and Cheryl Farren TkacsAre Your Assessments Helping Students Learn?Harvard Business Publishing Education December 6, 2021https://hbsp.harvard.edu/inspiring-minds/are-your-assessments-helping-students-learn[15] Kai Jun Chew; Amanda Ross; Andrew Katz; Holly M. MatusovichDefining Assessment: Foundation Knowledge Toward Exploring Engineering Faculty’sAssessment Mental Models. Published in: 2022 IEEE Frontiers in Education Conference (FIE)https://ieeexplore.ieee.org/document/9962667https://par.nsf.gov//servlets/purl/10432187[16] Vanderbilt University Center for Teaching “Assessing Student Learning” (Last accessedMarch 5 2024)https://cft.vanderbilt.edu/assessing