Paper ID #45305Empowering Electrical Engineers: Project-Based Learning for EnvironmentalSustainabilityDr. Uma Balaji, Fairfield University Dr. Uma Balaji received her Ph. D from University of Victoria, B.C., Canada in Electrical Engineering. She was a Canadian Commonwealth Scholar. She is the Chair of Electrical and Biomedical Engineering Department at the School of Engineering and Computing of the Fairfield University. Her research focused in novel modelling techniques to design components for wireless and satellite application. She was awarded the IEEE Region 1 Award as ’Outstaning Teaching in an IEEE Area of Interest (Pre
years, she has collaboratively developed a number of new and revised courses, including a new System Dynamics Lab. She has also worked with a number of SUNY students to investigate different aspects of 3D printed multi-material structures.Anne C Balant, State University of New York at New Paltz ©American Society for Engineering Education, 2024 Implementation of short-term undergraduate psychoacoustics research involving human subjects.IntroductionThis work discusses the development and implementation of a five -week undergraduatepsychoacoustics research project involving human subjects. It describes the required preparationand scaffolding necessary for undergraduate students with
Paper ID #45374Incorporating Applied Learning in a Mechanical Engineering TechnologySenior Project CourseDr. Gonca Altuger-Genc, State University of New York, College of Technology at Farmingdale Dr. Gonca Altuger-Genc is an Associate Professor at State University of New York - Farmingdale State College in the Mechanical Engineering Technology Department.Dr. Yue Hung, Farmingdale State College Dr. Yue (Jeff) Hung holds degrees in engineering and technology disciplines (Ph.D. in Materials Science and Engineering, M.S in Mechanical Engineering, and B.S in Manufacturing Engineering Technology). He has over 20 yearsˆa C
Paper ID #45299Pedagogy in undergraduate cosmic ray research projects with hands-on explanationof engineering versus engineering technology for community college studentsDr. Raul Armendariz, City University of New York, Queensborough Community College Associate professor of physicsCorey Stalerman Physics instructor at Queensborough Community College.Prof. Tak Cheung Tak Cheung, Ph.D., professor of physics, teaches in CUNY Queensborough Community College. He also conducts research and mentors student research projects. ©American Society for Engineering Education, 2024 Pedagogy in undergraduate cosmic ray
Paper ID #45397Balancing Theory, Programming, and Practical Application for Teaching ofFinite Element Analysis CoursesDr. Rachmadian Wulandana, State University of New York at New Paltz My primary teaching assignments in SUNY New Paltz are in the thermal-fluid areas such as Thermodynamics, Thermal System Designs, Fluid Dynamics, and Heat Transfer. As I believe in active learning, group activities in classroom and team projects are the two teaching tools that I utilize most to enhance students mastery on the subjects. Examples of team projects undertaken by students are designs of thermal devices and energy systems and
the State University of New York (SUNY) at New Paltz. He received his B.S. from National Tsing-Hua University in Taiwan, and M.S. and Eng.Sci.D. in Materials Science and Engineering from Columbia University. After a 20-year career in the semiconductor industry, he joined SUNY New Paltz in 2018 with research interests in stress-induced phenomena in engineering materials, microelectronics reliability, additive manufacturing, and interdisciplinary engineering education.Dr. Nancy Campos, SUNY New Paltz Nancy Campos is the Project Director of the Louis Stokes Alliance for Minority Participation & Collegiate Science and Technology Entry Program (CSTEP) at SUNY New Paltz. She received her B.A. in Art History, Ed.M
Zhang, Z., Chang, Y.AbstractGenerative Artificial Intelligence has revolutionized various sectors, including engineering educa-tion. This paper explores the integration of Generative AI tools into engineering curricula, focusingon their potential to enhance project-based learning (PBL), foster creativity, and offer personalizedlearning experiences. By leveraging Generative AI, educators can provide tailored feedback, pro-mote knowledge expansion, and facilitate hands-on learning, addressing challenges faced by bothlower-level and advanced engineering students. This study investigates the outcomes of imple-menting Generative AI in courses such as Circuit Analysis, Dynamics, Electrical Power, and In-dustrial Power. Results indicate that students
Paper ID #45301Preparing community college and high school students for inertial confinementfusion jobs in engineering and technologyArkadiy Portnoy, City University of New York, Queensborough Community CollegeDr. Sunil Dehipawala, City University of New York, Queensborough Community CollegeProf. Tak Cheung Tak Cheung, Ph.D., professor of physics, teaches in CUNY Queensborough Community College. He also conducts research and mentors student research projects. ©American Society for Engineering Education, 2024 Preparing community college and high school students for inertial confinement fusion jobs in
acceptance and high ratesof conversion to full-time roles following the program, and thus can serve as a model programfor others interested in promoting student apprenticeship.Keywords:Apprenticeship, Software Engineering, Community College, Workforce Development, Minority-Serving Institution, Communities of Practice (CoP)Introduction & BackgroundThe U.S. Department of Labor projects that employment in the technology field will grow by14.6% from 2021 to 2031 [1]. However, there is a significant skill gap between the requirementsfor tech roles and the availability of skilled workers. Many companies struggle to find qualifiedcandidates, despite the rigorous technology curricula offered by colleges [2]. This skill gapdisproportionately affects
into the robotics class, we leverage a subject that’s already familiar toMET students. Robotics and automation are naturally suited to learning AI/ML since many of the conceptsand tools overlap with AI/ML applications. This integration allows us to enhance students’ understandingof robotic systems while introducing them to AI/ML in a manageable way, without overwhelming themwith entirely new material.The module is centered around applied, hands-on experience. Rather than focusing solely on lectures,students will engage in a series of lab projects that directly apply AI/ML to real-world problems. Theseprojects will help students gain practical experience with AI tools and techniques, such as using computervision (CV) for robotic control or
, 16701AbstractSolving authentic problems is complex and includes multiple phases. It involves understandingrequirements, communicating with sponsors, interpreting in scientific/engineering language,making project statements, figuring out key factors, brainstorming possible solutions, screeningdown the most feasible solutions, initiating design, optimizing parameters with compromises,iterating the whole progress, finalizing the best technical solution, and presenting the technicalsolutions to the sponsors. This progress might include building prototypes to demonstrate thefeasibility of the design if required. To make these two groups comparable, the students areallowed to make proposals for their solutions using theoretical calculations, simulation
Paper ID #45308Innovative Work-Holding Tool Designs for Enhanced Safety and Learning inManufacturing LabsDr. Khosro Shirvani, State University of New York, College of Technology at Farmingdale Khosro Shirvani, Ph.D. is an assistant professor in the Mechanical Engineering Technology at Farmingdale State College (FSC). His research areas include Tribology, Additive Manufacturing of Metals, Renewable Energy, and Engineering Education. Since 2011, He has worked on projects sponsored by The Boeing Company, the National Institute of Standards & Technology, and National Science Foundation. Over the past 8 years, he has
courses in data security, cryptography, computer forensics, and senior project writing. Her research interests include machine learning, artificial intelligence, cryptography, steganography, and security. Arzu focuses on providing hands-on learning experiences and integrating real-world applications into her curriculum, ensuring her students gain the skills needed for successful careers in technology and security fields. ©American Society for Engineering Education, 2024 Integrate the iPad, Apple Pencil, and Goodnotes, to enhance teaching effectiveness.AbstractUsing multimedia such as slides, diagrams, charts, and videos as visual aids during lectures hasproved
modeling and toolpath programming. It not only covers essential softwarecommands but also integrates best practices in machining into CNC programing, providingstudents with a comprehensive understanding of the CNC field. The course is designed to includehands-on experience, ensuring that students gain practical skills.The paper discusses how the course materials bridge the gap between academic learning and theskills required by the industry, aligning the curriculum with typical industry settings. Variousassessment methods, such as self-assessments and project-based evaluations, are outlined forevaluating student learning. Due to limited class time, executing each student's CNC program ona CNC machine may not be feasible; therefore, the paper also
presentation engages students • Develop lecture notes for easy printing • Develop supplemental material when PowerPoint presentation alone is not adequate to convey the course content • Provide sufficient example problems with clarity for easy understandingIntroduction to the CourseAn introduction page for the course welcoming students to the course is a must. The informationpage developed included basic information and provided an opportunity for students to get toknow each other. Unlike students in an in-person class, students in an asynchronous class may befrom various institutions, they may not know each other. This helps them especially if they mustwork on group projects. Table 1 presents the welcome page developed for the
' perceptions of the potential outcomes of pursuing AECcareers. This includes highlighting the personal, social, and economic benefits of theseprofessions. The fAEC-KLM incorporates several key components designed to address these factors: a) Lectures and presentations providing comprehensive information about AEC careers. b) Peer interactions to foster collaborative learning and support. c) Kinesthetic and experiential learning activities offering hands-on engagement with AEC projects (bridge building project). d) Exposure to successful African American women in AEC professions as role models.Methods This study employs qualitative methods to evaluate the impact of the fAEC-KLM onAEC knowledge, self-efficacy, and outcome
course is not a prerequisite for thecourse, there were several students who did not have familiarity with even basic programmingskills.Instructor’s lack of specific knowledge related to AI implementation. I have some basicexperience using ML/AI to perform clustering and characterization tasks on extracted features inlarge data sets and from image data. However, my fundamental knowledge of the topic is alsolimited, which hampers my ability to develop projects that are properly scoped and provide thestructure and explanation required for students’ intuitive development of code for performing AItasks.Limited computing power. Implementing AI based computer programs requires a large amountof computing power. Some campuses may already have a mechanism
complex systems using computational intelligence combined with probability, statistics, data sciences, and operations research. His research also involves active learning, entrepreneurship education, and the innovation mindset. Dr. Konak’s published numerous academic papers on a broad range of topics, including network design, system reliability, sustainability, cybersecurity, facilities design, green logistics, production management, and predictive analytics. He has been a principal investigator in sponsored projects from the National Science Foundation, the National Security Agency, the U.S. Department of Labor, and Venture Well.Dr. Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus Sadan Kulturel
traditional cold plate system under similar size and operationalconditions. This task aims to demonstrate the effectiveness of modern heat transfer surfaces that utilizecomplex channel geometries and advanced manufacturing techniques to enhance thermal efficiency.Detailed instructions and the expected outcomes for this advanced project are provided in the sampleassignment handout displayed in Fig. 6.These assignments, which are detailed above along with handouts, aim to provide students with the skillsrequired to apply foundational knowledge in practical applications. By integrating INSTED into thecurriculum, students gain hands-on experience in thermal system design and learn to solve real-worldproblems through simulations. This approach not only
post-professional degree in Architecture Urban Regional Design from the New York Institute of Technology. Subsequently, Professor LoPiccolo earned a Postgraduate Diploma in Building Construction Management from New York University and a Passive House Designer Certification from the Passivhaus Institut, Germany. She has private-sector architecture and construction project management experience in Dublin, Ireland, and New York. Professor LoPiccolo has over ten years of public sector experience as an architect and a Community Development Project Supervisor with the Town of Islip. In addition, Professor LoPiccolo was an adjunct assistant professor in the School of Architecture and Design at NYIT for five years, teaching
andDisruptions to Civil engineering (various Infrastructure design,Critical sub-disciplines), maintenance, risk Problem-solving, criticalInfrastructure materials science, assessment, disaster thinking, project management,Systems economics response leadership Climate science, Policy analysis,Overlapping environmental science, stakeholder engagement, Interpersonal skills,Areas public policy communication negotiation, advocacyThe identified skills can be separated into two main categories: (1) risk assessment and (2)planning and response. The skill of risk assessment is multi
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
faculty are asked to fill the missing gap like the Open Stax University Physicsbook shows differential equation model [12]. The faculty task is not merely adding new topicsin Physics II with simplification of some topics in classical physics, it is a novel faculty task toensure that the skipping of the algebra steps in the classical physics topics can be compensatedwith a careful design of the teaching of algebra steps in modern physics topics.The modification of the Physics II to include radiation topics could be further effective whenstudent projects are included as extra credit work for those interested. For instance, theradioactive decay of creating three daughters using algebra 3x3 matrix model has been publishedand would be suitable to
that this project is an ongoing endeavor. As thefall semester of 2024 progresses, additional data will be collected to further validate and refine ourunderstanding of the impact of these pedagogical strategies. Specifically, the end-of-semestersurvey results, which are yet to be gathered, will provide crucial insights into the effectiveness ofthe implemented methodology on a broader scale and over a longer term. The anticipated surveyresults will not only allow for a more comprehensive evaluation of the current methodology'simpact on student outcomes but will also guide future iterations of the project. By analyzing thedata collected at the semester's end, we aim to identify areas of strength and opportunities forimprovement, ensuring that the
laboratory experiences in equivalent introductory courses at NCC and HU. Reason for SignificantExample NCC HU being Notes difference? different?How are students assessed (i.e.,exams, essays, projects, etc.) andwith what frequency?Grading policies (e.g., is there acurve or another system used?)Classroom experiencesLab experiences Revised Prompt for Part 2 Goal: Use this work as the
, providing guidelines for educators [12]. Theyexplained the reasons to consider GenAI for such courses, outline strategies for its integration,and present guidelines for its implementation. The authors outline effective strategies forintegrating GenAI, including collaborative projects, and Hackathons with AI-assistedprogramming tasks. Besides the assessments, there has also been research on the impacts of AIon students, with findings indicating a positive impact on student performance and motivation tolearn [13,14,15].As previous research has indicated, there are ethical concerns, worries about plagiarism, and bothchallenges and benefits associated with using GenAI tools for learning and assessment. Earlierstudies often focused on dividing students