Paper ID #44818Vibration Using Matlab and SimulinkProf. Abhishek Kumar, Wentworth Institute of Technology I am an Assistant Professor in Wentworth Institute of Technology. I have completed PhD from University of Michigan, Ann Arbor. ©American Society for Engineering Education, 2024 Single Degree of Freedom Vibration Using Matlab and Simulink Abhishek Kumar Wentworth Institute of TechnologyAbstract:This work in progress paper presents an active learning approach to teach vibrations effectivelyto students without
] when they used case-based teaching compared to the lecture only format.It may also be an approach to address Accreditation Board of Engineering and Technology (ABET)accreditation Criterion 3 (Student Outcomes) argue Sankar and colleagues [7]. These include aspectssuch as “an ability to apply knowledge …, to design solutions…., [and] to function effectively as amember of a technical team” (ABET.org https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-technology-programs-2024-2025/).The barrier to implementing this approach to teaching may be high if time resources are not expendedto create something. I would like to introduce science and engineering educators to a wonderfulresource for doing case
Paper ID #44955Required science courses can be fun, too: using an escape room as aninstructional tool.Nadine Stecher, Wentworth Institute of Technology Nadine Stecher is an assistant professor of sciences at Wentworth Institute of Technology, where she teaches introductory and upper level biology courses. She strives to create engaging teaching activities and is especially interested in gamification of teaching. Being a puzzle and boardgame enthusiast herself, she has created several gamified lab activities that she uses in her teaching. ©American Society for Engineering Education, 2024
individual growth and career advancement. Itencompasses a deliberate and continuous effort to enhance skills, expand knowledge, and refinecapabilities throughout one's professional journey. This structured approach is not merely aboutmastering new technologies or staying abreast of regulations; it is about fostering a mindset oflifelong learning and adaptability essential for success in the engineering world [1].According to LIan Parsons of Harvard's Division of Continuing Education, she defines“Professional Development” as gaining new skills through continuing education and careertraining after entering the workforce [1]. I disagree with this statement as engineers should planand act upon professional development before joining the workforce. For
children.Dr. Kevin N. Bowlyn, Sacred Heart University Kevin N. Bowlyn received a dual B.S. from Eastern Illinois University and Southern Illinois University, Carbondale, in 2008 and has earned his M.S. and Ph.D. from Southern Illinois University in 2010 and 2017, respectively. His research interests are in d ©American Society for Engineering Education, 2024 Engineering Ethics Education for a Capstone Design Project Course AbstractEngineering disciplines shape society's social, economic, and cultural values. To guide againstthe potential negative consequences of technology on society, the need to incorporate ethicaleducation in
trust, reliability, and ethical considerations when integrating AI tools likeChatGPT into educational settings. The identified challenges provide valuable insights foreducators, policymakers, and developers to establish guidelines and frameworks that promoteresponsible and ethical use of AI technologies in the educational landscape.DiscussionImplications of the FindingsThe findings of this study present several noteworthy implications for the integration of ChatGPTas a learning tool in computer science education. Firstly, the high levels of awareness and usageamong students underscore the potential widespread acceptance and adoption of ChatGPT inacademic settings. The positive reception of the tool for clarification of concepts, brainstorming
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
Paper ID #44938Research in Efficacy and Acceptance of AI in Presentation SkillsDevelopment in an Educational SettingDr. Peter Francis Cavanaugh, University of Bridgeport Peter currently teaches full-time at the University of Bridgeport in the Technology Management Depart- ment. He also is an Adjunct Professor at Fairfield University in the Dolan School of Business. For the second half of his career Peter had leadership roles at Crotonville, GE’s Leadership Development Center, which served GE’s global employee base of 320,000 employees and widely considered to be the cultural epicenter of the company. Ultimately, he was the
change how we teach the new generation ofstudents for many years [1, 2, 3]. The old-fashioned way of teaching is no longer effective whena teacher stands at a blackboard and talks. It's reached its limits and can't produce enoughengineers of the right quality that we need. People are worried about using these old methods toteach tough engineering subjects. The old-fashioned way of teaching needs to use modern toolsand knowledge that can easily be understood by students who are good with technology [3]. Intoday's higher education landscape, there's a growing push to reevaluate traditional teachingmethods and prioritize student-centered approaches. This shift is driven by the evolving needs ofstudents, their future professional aspirations, and
Biology Society, and Sigma Xi. ©American Society for Engineering Education, 2024 Intro to Robotics: Design and Development of a Hands-on Undergraduate Course on Robotics Tahmid Latif School of Engineering, Wentworth Institute of Technology, Boston, MA 02115Abstract– The advent of high-precision and low-cost sensors and microcontrollers give studentsand researchers alike the power and control to realize robots of different forms and features. Anintroductory course can familiarize students with the design process of robots intended fordifferent applications. This paper details the development of a hands-on undergraduate course onrobotics
writing • Had a lot of group work applying what we learned to real life situations • Invited guest speakers which made for an interesting class where they talked about their projects • Integrated games and technology like Kahoots to help us learn the material • Allowed students to revise work if they received no points • Applied course material to other situations which contributed to Social Sciences (2) a higher level of learning • Used quizzes based off the homework to encourage doing this
the student experience from an educationalperspective. Through the use of a survey tailored to each group, data regarding the existingeducation, including the development of IAC-specific skills, program curricula, and the use ofvarious tools, will be collected.MethodThe purpose of this study is to evaluate the current student educational experience in theIndustrial Assessment Center (IAC) program. The survey questions were created and discussedduring mentor/mentee meetings and finalized with the WE2 (Women in Energy Engineering)program director. The survey was approved for IRB Exemption # X24-0027. With the assistanceof the WE2 program director, the survey was emailed to active directors, active students, andalumni to gather their
incorporating musculoskeletal measurements intocommunity-based venues. I am primarily interested in studying the link between muscle structure andmuscle function, especially in the plantar-flexors, using a combination of wearable sensors, ultrasoundimaging, and devices such as isokinetic dynamometers.Q: How did you get involved with engineering education and engineering education research?Dr. Hangen (Social-Personality Psychology): My experience with engineering education is limited, butmy area of expertise includes conducting education research in STEM disciplines. For instance, I havepublished work showing how stress reappraisal improves math exam scores of community collegestudents in a remedial math course (Jamieson et al., 2016) and improves male
detection will significantly reduce the amount of annotation time foreach recording as the human would only engage in the verification of results. Further, theseresults can allow us to quickly build datasets for these saw calls that can be used as trainingdata for machine learning models. Future research could focus on using these datasets to traincomplex ML models that would be able to distinguish between the banging sounds and sawcalls.Bibliography[1] https://www.wildlifeacoustics.com/products/song-meter-sm4[2] Allwin, B., Kalignan, P. A., Nag, P. B. S., Gopikrishnan, D., & Gokarn, N. S. (2016). Thereproductive behavior of Indian leopards (Panthera pardus fusca). Journal of VeterinaryScience and Technology, 7(5), 358.[3] Oswald, J. N., Erbe
. competency framework for professional training and development purposes. In the US, over the last twenty years, there has been a push understanding, the specific nature of the task, and the socialto improve the capabilities of market technicians in effectively environment in which they are situated. As a result, effectivelyservicing hybrid and electric vehicles. However, McDonald utilizing the ZPD can enhance practical skills training in(2010) highlights a need for more alignment between the various fields.current engineering and technology education framework andthe complex skill sets required by the evolving electric vehicle V. WHAT WILL
tested.of manpower to curate the data and fine tune the model to guide it away frombias. We believe that open source LLMs can reach similar levels of iCAT as theproprietary models given time and participation of the community. Our studyprovides a cautionary tale of using open source models without proper oversight.Specially in applications where biases can be harmful.References 1. Devlin, J., Chang, M.-W., Lee, K., Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceed- ings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp. 4171-4186). Association for Computational
with data visualization tools such as Tableau, equipping students with vital skills for effective teamwork and professional presentation in a technological landscape.The curriculum enhancements in the Fundamentals of Engineering course represent a significant stridetowards aligning our educational offerings with the realities of modern engineering practice. These changes,spearheaded by a dedicated team of instructors, including the seasoned Dr. Belfadel and recent facultyadditions, have revitalized the course, as evidenced by improved student outcomes and engagement. Thisproactive approach ensures our engineering program continues to develop well-rounded professionalsequipped to navigate the complexities of the field. Detailed
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
educational background. The study of ethics in engineeringclassrooms are recommended by the Accreditation Board for Engineering and Technology, orABET, so that students may acquire an understanding of professional and ethical responsibilities.Through the study of professional ethical codes and the critique of case studies, students can gainexposure to their future responsibilities to their company, clients, and their communities.Code of EthicsFor the most part, teaching the subject of ethics in universities relied on the use of bothhypothetical and “real” scenarios with open discussion framed by the code of ethics developedby the National Society of Professional Engineers, or NSPE. While engineering used to prioritizebusiness and technological
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
, the Department of Defense as well as other organizationshave worked to create a cybersecurity framework, a recommended set of guidelines andprotocols that companies should comply with in order to ensure that they are using the bestpractices against cyberattacks5. Though there are a variety of cybersecurity organizations thatprovide frameworks including the National Institute of Standards and Technology (NIST), theInternational Organization of Standardization(ISO), and the Center for Internet Security (CIS).This project focuses on the NIST Risk Management framework. The major problem companies face currently is that the process of fully implementingthese frameworks can be very expensive and time-consuming. Though around 84
for Fairfield Uni- versity’s Off Road Racing Team. ©American Society for Engineering Education, 2024 Assessment of ABET Student Outcome 7 in Micro and Nano Manufacturing Class Sriharsha Srinivas Sundarram Department of Mechanical Engineering Fairfield UniversityAbstract ABET’s student outcome 7 requires that students have “an ability to acquire and applynew knowledge as needed, using appropriate learning strategies”. The Mechanical EngineeringDepartment at Fairfield University identified ABET 7 as one of the student outcomes that wasnot addressed by many courses except
disorders, vol. 39, pp. 1329–38, 06 2009.[5] A. Meyer and D. H. Rose, “The future is in the margins: The role of technology and disability in educational reform,” in The universally designed classroom: Accessible curriculum and digital technologies, D. H. Rose, A. Meyer, and C. Hitchcock, Eds. Harvard Education Press, 2005, pp. 13–32.[6] M. Prince, “Does active learning work? a review of the research,” Journal of Engineering Education, vol. 93, no. 3, pp. 223–231, 2004.[7] D. H. Rose and A. Meyer, Teaching Every Student in the Digital Age: Universal Design for Learning. Alexandria, VA: Association for Supervision and Curriculum Development, 2002.[8] L. Shu and M. Liu, “Student engagement in game-based learning: A literature review
. Personalized treatment: LLMs can be used to generate personal recommendations based on individual health conditions, lifestyle patterns, and treatment plans [23].LLMs can be utilized for non-clinical tasks. Non-clinical tasks refer to supporting activities thatare essential in healthcare, such as administration, research, and education. Some examples ofthe potential role of LLMs in this context include: Patients’ engagement: LLMs can be used to answer patients’ questions, remind them of appointments, and provide medical educational content. Administrative tasks: LLMs can be used to optimize administration workflows such as scheduling, billing, and coding. Research and training: LLMs can be used in data
helps the at-risk students to solve the “Think” recitation assignment and toenhance classroom inclusiveness from an education perspective. (2) In a class taken before bythe learning assistant, the instructor assigns the learning assistant volunteer to help students, so asto fulfill one of the learning outcome of the skill-learning student project. For instance, a collegelevel learning assistant can help high school students to use Excel in a project class for highschool students.The Colorado Learning Attitudes about Science Survey CLASS, a science literacy assessmentinstrument in physics, pioneered by the Colorado PHET group, was found to be confusing forour Community College students [12]. For instance, the first sample question on their
theirtargeting to improve the population’s health and wellbeing. product and service offerings. Gao et al. (2023) observe thatHowever, the limitations associated with traditional analysis the utilization of machine learning in information predictionmethods make it impossible to draw meaningful insights. analysis using social media involves the utilization of AINghiem et al. (2023) point out the inadequacy of traditional technology for the analysis and prediction of informationregression techniques to efficiently tackle massive data sets. trends and behaviors on social media. Machine learningHowever, data science, especially machine learning provides makes it possible to analyze and process social media
, iPad users. In addition, no feedback wasrecorded from the students regarding this app development. The overcome of this limitation willimprove the apps’ effectiveness in the future.ConclusionsThe rapid development of the technology and modality change of education due to the pandemichas forced the educators to think outside of the box to make students more engaged in theclassroom. In addition, the generation gap between the educators and the students is also achallenge for effective knowledge transmission. The current generation Z is more smart deviceusers for which educational tools related to screen time would be more beneficial. This currentstudy exhibited step by step how to use Kahoot platform for the classroom adoption. The lessonlearnt
navigation. ©American Society for Engineering Education, 2024 Incorporating AI in Engineering Assignments as a Reliable Self-Directed Learning Tool: A Pilot Implementation Overview Gonca Altuger-Genc Akin Tatoglu Mechanical Engineering Technology Autonomous Mobile Robotics Lab Farmingdale State College Mechanical Engineering Farmingdale, NY University of Hartford West Hartford, CTAbstractAn important characteristic of engineering education is its ability to evolve with the changesthrough
the issues faced by students. These topics will be addressed from the student’sperspective, through the experience of the professors, and even the SUNY Canton’s engineeringdepartment student collegiate athletes. Challenges and opportunities mark the first year ofexperience in engineering school by fostering supportive environments, implementing effectiveteaching strategies, and providing targeted mentorship. Institutions can empower students tonavigate the complexities of higher education and pursue successful pathways within STEMdisciplines. Which will give the education community an outlook that will allow us to build abetter support system for the success of first-year engineering students. As well as it will continueto implement the
students' understanding of engineering principles and equips them with criticalskills necessary for innovation and collaboration in professional settings. For instance,integrating PBL strategies in engineering higher education has significantly enhancedprofessional project management skills, including developing technical, contextual, andbehavioral competencies essential for project management [1]. Moreover, the use of advancedComputer-Aided Design (CAD) and Computer-Aided Engineering (CAE) tools, such asSolidWorks and ANSYS, in PBL settings align with industrial requirements, providing studentswith invaluable practical experience and preparing them for real-world challenges [2]. The focuson sustainability within PBL modules further enriches