Collection

2024 ASEE North East Section

Authors

Lina Kloub, University of Connecticut; Aayush Gupta, University of Connecticut

Paper ID #44826ChatGPT in Computer Science Education: Exploring Benefits, Challenges,and Ethical ConsiderationsDr. Lina Kloub, University of Connecticut Lina Kloub is an Assistant Professor in Residence in the Department of Computer Science and Engineer- ing at the University of Connecticut. She earned her Ph.D. from the University of Connecticut in 2021 and has since dedicated herself to teaching undergraduate courses. Lina’s dual interests in Bioinformatics and education guide her academic journey. As an educator, Lina’s primary goal is to create an inclusive and motivating learning environment. She works closely

Collection

2024 ASEE North East Section

Authors

Lina Kloub, University of Connecticut

Paper ID #44831Engaging Minds, Elevating Performance : The Transformative Power ofInteractive Review Sessions in Computer Science CoursesDr. Lina Kloub, University of Connecticut Lina Kloub is an Assistant Professor in Residence in the Department of Computer Science and Engineer- ing at the University of Connecticut. She earned her Ph.D. from the University of Connecticut in 2021 and has since dedicated herself to teaching undergraduate courses. Lina’s dual interests in Bioinformatics and education guide her academic journey. As an educator, Lina’s primary goal is to create an inclusive and motivating learning environment

Collection

2024 ASEE North East Section

Authors

Djedjiga Belfadel, Fairfield University; Isaac Macwan, Fairfield University; Naser Haghbin, Fairfield University; John F Drazan, Fairfield University

an overview of 3D modeling, design, and printing using SOLIDWORKS software. Students learned the principles of CAD (Computer-Aided Design) and how to create detailed 3D models and assemblies. The curriculum also introduced the fundamentals of 3D printing technology, including printer operation, material selection, and slicing software. Through design projects, students experienced the end-to- end process of designing a part in SOLIDWORKS and bringing it to life through 3D printing, highlighting the potential of rapid prototyping in engineering design.Two signature assignments are used as primary performance indicators in the attainment of courseoutcomes. These assignments include the short research

Collection

2024 ASEE North East Section

Authors

Caprice Abigail Pramana, State University of New York, Canton; PS Dhanasekaran, State University of New York, Canton

company and each of itsindividuals will be able to thrive and carry out quality tasks more efficiently.Realistic Scenarios in Case StudiesThe American Society of Engineering Education, or ASEE, center their belief that ethiceducation in engineering should endeavor to equip students with the skills to confront ethicalconflicts and practice exercising their ethical responsibilities as a future engineer. While it maybe easier for educators to take the traditional approach by raising ethical issues in a lectureformat, it is more useful for students to practice ethical problem solving, first-hand. ASEEsuggest educators to employ a variety of problem-solving activities that may include role-playing, computer simulations, or the study of engineering

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

that the STEM education budget had been a terribleinvestment [8]. The learning of extra skills not available in a regular class should give theparticipated students the advantages to be selected for jobs, when compared to those studentswithout project experience.The recent Bureau of Labor Statistics stated that the computer programming jobs will continue todecline in a market projection to 2032 [9]. It is not that programming is not important, it issimply that STEM employers expect every staff should know programming already in this dayand age, and eliminate the once-popular computer programmer positions. This interpretation isconsistent with the growing emphasis on previously-advanced” to become “currently-regular” inthe computer industry, in

Collection

2024 ASEE North East Section

Authors

PS Dhanasekaran, State University of New York, Canton

engagement and comprehension of the material [12]. In Active Learningenvironments, students are immersed in a process of inquiry that leads to meaningfulunderstanding. They actively engage in actions, use their imagination, invent solutions, interactwith peers, form hypotheses, and reflect personally on their learning experiences [13].Education technology is continuously evolving, leading to advancements in instructionalmethods. One such innovation is visualization technology, which enhances human perception byoverlaying computer-generated data onto real objects. This technology has various applications,but it can serve as a powerful educational tool by fostering student interaction and engagement inthe classroom [14].Teachers are constantly called

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2024 ASEE North East Section

Authors

Eric UWAYEZU, UNIVERSITY OF BRIDGEPORT

Paper ID #44858Privacy in the Machine Learning: A Study on User Profiling and TargetedAdvertising on LinkedInMr. Eric UWAYEZU, UNIVERSITY OF BRIDGEPORT Eric UWAYEZU is a PhD candidate at the University of Bridgeport. He has been working in the IT industry for the last 12 years, focusing on IT networks and systems. He is also a computer science Lecturer at Sacred Heart University. His research interests are machine learning privacy, network security, and artificial intelligence in general. ©American Society for Engineering Education, 2024 Privacy in the Machine Learning: A Study on User

Collection

2024 ASEE North East Section

Authors

Naser Haghbin, Fairfield University

Tagged Topics

Diversity

Paper ID #44796Revolutionizing Mechanical Engineering One-Credit Laboratory Courses: AProject-Based Learning ApproachDr. Naser Haghbin, Fairfield University Dr. Naser Haghbin is an Assistant Professor and Director of the Innovation Annex at Fairfield Univer- sity’s School of Engineering and Computing. With a distinguished career in Mechanical Engineering, he focuses on advancing industrial automation, robotics, and smart manufacturing. Driven by an inter- disciplinary approach, he seamlessly integrates traditional and advanced manufacturing processes with CNC machining, contributing significantly to academia and industry

Collection

2024 ASEE North East Section

Authors

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

Tagged Topics

Diversity

Paper ID #44945Development of an Interdisciplinary Engineering Education ResearchApproach: The perspectives and lessons learned by two early careerfacultyProf. John F Drazan, Fairfield University John Drazan, PhD is an assistant professor of biomedical engineering at Fairfield University. Dr. Drazan completed his PhD in Biomedical Engineering at the Rensselaer Polytechnic Institute and a NIH IRACDA Postdoctoral Fellowship at the University of Pennsylvania in the McKay Orthopedic Research Laboratory. Dr. Drazan directs the Community Situated Biomechanics Lab which develops novel devices and research approaches to study human

Collection

2024 ASEE North East Section

Authors

Susannah GAL, Wentworth Institute of Technology

Paper ID #44809Engaging students in developing course improvements leads to bothfaculty and student insightsDr. Susannah GAL, Wentworth Institute of Technology Associate Dean Dr. Susannah Gal has an undergraduate degree in Chemistry and Biochemistry and her PhD in Biochemistry. She has held academic positions at in New York, at Penn State, and at the University of The Bahamas in Nassau and served as a program officer for the National Science Foundation before joining Wentworth Institute of Technology in January 2023. Her research has included work in plant enzymes, DNA computing, DNA binding proteins in cancer and in

Collection

2024 ASEE North East Section

Authors

Kyle Riccardi; Danushka Bandara, Fairfield University

Engineering at Fairfield University, Fairfield, CT, USA. His Current research interests include Applied machine learning, Bioinformatics, Human-computer interaction, and Computational social science. ©American Society for Engineering Education, 2024Masked Language Modeling for Predicting Missing Words in Damaged AncientGreek TextsAbstract:The ancient Greek texts are valuable for understanding and learning about the history, culture,and nuances of ancient Greek life. The texts come in many forms, including papyri, fragments ofpottery, etc. Due to the nature of these materials and degradation over time, some of these textsare missing words, and even entire phrases. This makes it difficult for historians to interpret

Collection

2024 ASEE North East Section

Authors

Abhishek Kumar, Wentworth Institute of Technology

any labs/hands on experiments. Computer simulation is a vital part of anycourse involving moving systems. Vibrations is mathematically very intensive course and oftenstudents find it very difficult and boring. To make this class interesting and engaging, theinstructor integrated Simulink and Matlab in the course to help students understand thedynamics of moving parts and vibrating systems. In this paper our focus is on Single Degree ofFreedom Vibration, both free and Forced Vibration problem is discussed. This paper alsopresents results from a survey regarding how the software affected students’ learning andunderstanding of vibrating systems.Introduction:Mechanical Vibration[8] is a mandatory class for Mechanical Engineering major in

Collection

2024 ASEE North East Section

Authors

Tahmid Latif, Wentworth Institute of Technology

assistiverobot, or a search-and-rescue robot. The design had to address the principal components of therobot, the detailed applications, challenges/limitations, and the control, navigation, and obstacleavoidance requirements of the robot. Given the introductory nature of the course, the designproject did not require students to develop the robot. Additionally, in-class discussions served asa means to evaluate learning beyond typical assessments.Inputs and feedback on the several topics and their contents were received and carefullyconsidered from engineering professors with backgrounds in electrical, computer, mechanical,and/or biomedical engineering. The inputs were provided based on their areas of expertiserelated to robotics, and on prior collective

Collection

2024 ASEE North East Section

Authors

Christina Cao, .; Danushka Bandara, Fairfield University

Engineering at Fairfield University, Fairfield, CT, USA. His Current research interests include Applied machine learning, Bioinformatics, Human-computer interaction, and Computational social science. ©American Society for Engineering Education, 2024 The Spectrum of Bias: Unveiling Bias in Proprietary vs. Open-Source Large Language Models No Author Given No Institute Given Abstract. In this study, we investigate the types of stereotypical bias in Large Language Models (LLMs). We highlight the risks of ignoring bias in LLMs, ranging from perpetuating stereotypes to affecting hir- ing decisions, medical

Collection

2024 ASEE North East Section

Authors

Tolga Kaya, Sacred Heart University; Kevin N. Bowlyn, Sacred Heart University

Paper ID #44811Building an Innovative Engineering Curriculum from the Ground Up:Lessons and Success StoriesProf. Tolga Kaya, Sacred Heart University Dr. Tolga Kaya is currently a Professor and Director of Electrical and Computer Engineering programs at the School of Computer Science and Engineering. Dr. Kaya oversees the growth of Engineering programs at Sacred Heart University. Before joining SHU, Dr. Kaya was an Associate Professor at Central Michigan University’s School of Engineering and Technology between 2010-2017. Dr. Kaya worked as a research scientist at Yale University from 2007 to 2010 at the School of

Collection

2024 ASEE North East Section

Authors

Hammad Mansoor, Fairfield University; Danushka Bandara, Fairfield University

degree in Electrical Engineering from the University of Moratuwa, Sri Lanka, in 2009. He received his master’s and Ph.D. degrees in Computer Engineering and Electrical and Computer Engineering from Syracuse University, Syracuse, NY, USA, in 2013 and 2018, respectively. From 2019 to 2020, he worked as a Data Scientist at Corning Incorporated, Corning, NY, USA. Currently, he is an Assistant Professor of Computer Science and Engineering at Fairfield University, Fairfield, CT, USA. His Current research interests include Applied machine learning, Bioinformatics, Human-computer interaction, and Computational social science. ©American Society for Engineering Education, 2024 Automating

Collection

2024 ASEE North East Section

Authors

Susannah GAL, Wentworth Institute of Technology

Paper ID #44887Case studies offer opportunities for us to show the ”real world” ofengineering and science in the classroomDr. Susannah GAL, Wentworth Institute of Technology Associate Dean Dr. Susannah Gal has an undergraduate degree in Chemistry and Biochemistry and her PhD in Biochemistry. She has held academic positions at institutions in New York, at Penn State Uni- versity, and at the University of The Bahamas in Nassau and served as a program officer for the National Science Foundation before joining Wentworth Institute of Technology in January 2023. Her research has included work in plant enzymes, DNA computing, DNA

Collection

2024 ASEE North East Section

Authors

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

: A covid 19 study,” Comput [34] K. H. Kim and S. H. Lee, “Electric vehicle educational content using Human Behav, vol. 119, Jun. 2021, doi: 10.1016/j.chb.2021.106716. 3D motion controller,” JP Journal of Heat and Mass Transfer, vol. 21, no. Special Issue 2, pp. 69–77, Dec. 2020, doi:[22] O. H. Aljohani and S. M. Alajlan, “Motivating Adult Learners to Learn 10.17654/HMSIII20069. at Adult-Education Schools in Saudi Arabia,” Adult Learning, vol. 31, no. 4, pp. 150–160, Nov. 2020, doi: 10.1177/1045159519899655. [35] M. T. Rymer, E. S. Damiano, B. McCombs, and R. De La Torre

Collection

2024 ASEE North East Section

Authors

Asif Ahmed, State University of New York, Polytechnic Institute; Ram Mohan Gubbala, State University of New York, Polytechnic Institute

learning and teaching of design andtechnology. Design and Technology Education: An International Journal, 13(3).3. Wang, A. I., & Tahir, R. (2020). The effect of using Kahoot! for learning–A literaturereview. Computers & Education, 149, 103818.4. Versypt, A. N. F., Bara, J. E., Getman, R. B., Kieslich, C. A., & Voronov, R. S. (2020). Appsfor Chemical Engineering Education: Off the Shelf and Do It Yourself DevelopmentOptions. Chemical Engineering Education, 54(3), 137-142.5. Smith, A., and Brauer, S. (2018, March). Use of Kahoot! game for increased studentmotivation and understanding in a Thermodynamics course. In ASEE Southeastern SectionConference.6. Ciaramella, K. E. (2017). The effects of Kahoot! of vocabulary acquisition and

Collection

2024 ASEE North East Section

Authors

Okechukwu C Ugweje, Sacred Heart University; Kevin N. Bowlyn, Sacred Heart University

and allows students to learn using examples of real-life scenarios and case studies. The paper briefly describes our approach to incorporating ethicalquestions in capstone project design courses for electrical and computer engineering programs. Itdescribes the teaching of Engineering Ethics to the senior undergraduate students through thecapstone design project. Quizzes, exams, homework, and case studies assess the student'sperformance. We believe that the result fulfills our objective of bringing awareness to thestudents of engineering ethics.Keywords—ethics, engineering ethics, ethics in engineering, code of ethics, capstone design1. IntroductionEthics embodies the principles of right and wrong, justice and injustice, good and bad, vice

Collection

2024 ASEE North East Section

Authors

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

significant impact on supply chain management. Thiscutting-edge technological advancement is revolutionizing the conventional supply chainstructure, enhancing its creativity, effectiveness, and, above all, financial gain. The use ofartificial intelligence (AI) has facilitated the utilization of machine learning and predictiveanalytics in the industrial domain, empowering firms to make precise predictions andestimations about demand and supply. By using these technologies, organizations mayanticipate and plan for anticipated challenges, such as delays or shortages in inventory, whilealso generating more favorable conditions to increase manufacturing productivity. Artificialintelligence aids organizations in optimizing their operations by properly

Collection

2024 ASEE North East Section

Authors

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

BlueDragon onlinelessons assigned as homework (Table 1). In-class guided case studies were conducted withinteams using templates created on LucidSpark, a virtual white board (eg. Fig. 1). The pedagogicalmodels for case study instruction integrated experiential [8], social [9], and inquiry-based [10]learning. Twelve undergraduate students (3 sophomores, 6 juniors and 3 seniors) fromBioengineering, Engineering, Computer Science and Architecture enrolled in the class and weredivided into three teams of varying majors and levels for the case studies and final project. Thelearning outcomes for the course are for students to be able to: 1. Understand an integrated approach to solving problems called the Integrated Problem-Solving System (IPS

Collection

2024 ASEE North East Section

Authors

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

and systems architectures. He has authored several research articles and has secured multiple research grants, underlining his commitment to advancing cybersecurity and computer science. Beyond his research and academic commitments, he remains an active participant in the academic commu- nity. As an IEEE Senior Member, he serves in multiple international scientific journals and conferences, contributing significantly to the advancement of his fields of expertise.YUSUF USMAN, Quinnipiac University Yusuf is a rising cybersecurity professional pursuing an MS in Cybersecurity at Quinnipiac University. His research centers on the innovative applications of machine learning (ML) and artificial intelligence (AI) for

Collection

2024 ASEE North East Section

Authors

Peter Francis Cavanaugh, University of Bridgeport

Tagged Topics

Diversity

Senior Leader – Global Crotonville Delivery. In this role Peter led the Crotonville learning experience delivery world-wide, including the Crotonville NY Campus and was responsible for a $85M operating budget. Peter led the 4-year ’Reimagining Crotonville’ Project, which focused on integrating the content, experience, and environment to create a transformative learning experience. Along with expanding and updating the entire campus, the $100M+ capital improvement project enabled more creative and impactful learning experiences. In 2016 he was appointed to lead a cross-functional, adaptive team to develop a contemporary working/learning environment in GE’s HQ in Boston Prior to his role at Crotonville, Peter had

Collection

2024 ASEE North East Section

Authors

Nadine Stecher, Wentworth Institute of Technology

or riddles toeventually accomplish a specific goal, typically the escape from a locked room, in a limitedamount of time. Escape rooms have become popular commercialized entertainment in recentyears and have also found their way into higher education, for example, in computer science [1],healthcare [2] [3] [4] and special education [5]. In educational escape rooms, the riddles arebased on material that is specific to the class, and students must either employ their existingknowledge or acquire new knowledge through puzzle solving. Studies have shown that theseeducational tools can enhance learning by strengthening existing knowledge [1] [4] and lead toactive engagement of students in the classroom [1] [6].At the Wentworth Institute of

Collection

2024 ASEE North East Section

Authors

Abdullah Aldwean, University of Bridgeport ; Dan Tenney, University of Bridgeport

Tagged Topics

Diversity

extract essential information from clinical data [5]. Innon-clinical tasks, LLMs can play a crucial role in reducing the burden on healthcareprofessionals by streamlining administrative processes. It can also improve the patients'experience and outcomes by enhancing the documentation accuracy. In the area of medicaleducation, the advantages of LLMs are massive and impactful. Models such as GPT-4 have thecapability to pass well-known medical exams such as the United States Medical LicensingExamination (USMLE) [6]. These Models can provide an augmented learning experience formedical students allowing them to gather and analyze data in a faster and more efficient manner.Nevertheless, while LLMs can provide promising advantages in the healthcare

Collection

2024 ASEE North East Section

Authors

Mirco Speretta, Fairfield University

Paper ID #44920Statistical Word Analysis to support the Semiautomatic Implementation ofthe NIST 800-53 Cybersecurity FrameworkDr. Mirco Speretta, Fairfield University Rohan Sahu is a senior at Westhill High School in Stamford, Connecticut. He started to learn about statistical word analysis based on TF-IDF in the fall of 2021, when he was a sophomore. He implemented this technique from scratch in Java and applied it to the NIST Risk Management framework. Dr. Mirco Speretta is the Director of the Cybersecurity Programs at Fairfield University. Before this role he spent 10 years as a director of technical engineering, acting