Student Learning Outcomes Introduction to computer Students will be able to explain the basic principles of aided manufacturing computer aided manufacturing. Students will be able to use the wireframe and transform 2D geometry construction commands, such as lines and circles to create 2D geometries in MasterCAM. Students will be able to define stock size for CAD models 2D Toolpaths commands and and apply different types of 2D toolpaths on the models. Toolpath verifications Students will be able to review and verify toolpaths
™ experience in Computer-AidedDr. Wenhai Li, Farmingdale State College Assistant Professor in Department of Mechanical Engineering Technology, Farmingdale State College, Farmingdale, NY 11735 ©American Society for Engineering Education, 2024 Incorporating Applied Learning in a Mechanical Engineering Technology Senior Project CourseAbstractApplied learning is a crucial part of the learning process, and allows the students to gain hands-onexperience by completing projects, courses, or activities that are part of the curriculum. At FarmingdaleState College, all baccalaureate program students fulfill 10 hours of minimum approved Applied LearningGraduation Requirement [1]. This allows students practice the knowledge
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
Paper ID #45369The Impact of AI Assistance on Student Learning: A Cross-DisciplinaryStudy in STEM EducationProf. Matthew Fried, SUNY Farmingdale Matthew Fried is an Assistant Professor with a research focus in machine learning. His work includes the application of advanced mathematical techniques, such as the Choquet integral, to deep neural networks (DNNs). He has presented multiple papers on this topic at international conferences, contributing to the ongoing development of noise reduction and performance optimization in DNNs. ©American Society for Engineering Education, 2024 The Impact
-101, RAD102, Physics I, Physics, and the two Math courses in the AS Degree requirement.By the same Bureau of Labor Statistics, the attributes of a nuclear technician are listed asCommunication skills, Computer skills. Critical-thinking skills. Math skills. Mechanical skills,and Monitoring skills. All of the above are similar to the learning outcomes in the lab sections ofRAD-101, RAD-102, Physics I and Physics II. The Mechanical skills are fully engaged in thePhysics I Mechanics lab exercises.The extension of Physics II to facilitate the QCC-BNL contract should strengthen Detail orientedamong the attributes in a nuclear engineer. The difference between Algebra Physics andCalculus physics mostly lies in the math tool. The Calculus tool enables
participants attributed their pre-intervention AEC knowledge to both formal and informal learning experiences. Informallearning experiences such as summer camps, personal skills, family members, and role models.Formal learning experiences such as regular school classes. However, RPs’ prior knowledge ofAEC careers was limited and often based on misconceptions. Many participants conflated AEC,particularly engineering, with computer science, robotics, and coding due to previousexperiences in STEM camps and school classes. Their attributed sources of AEC knowledgeincluded summer camps, personal experiences, family members or role models, and schoolclasses. Additionally, some participants associated their understanding of AEC with genderedpeer interactions
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. ©American Society for Engineering Education, 2024 Introducing AI into an undergraduate Kinematics of Machines courseThe integration of emerging technologies, such as Machine Learning and Artificial Intelligence(ML/AI), into traditional mechanical engineering courses has the potential to transform howfoundational concepts are taught and applied. This paper discusses the initial implementation ofML/AI-related computational techniques in an undergraduate
interest in Machine Learning classification. Passionate about mentoring undergraduate students, she has guided many in the realms of Game Theory and Machine Learning. Additionally, Dr. Dean has contributed her expertise as a judge at regional events such as the New York State Science & Engineering Fair (NYSSEF) and the WAC Lighting Invitational Science Fair.Dr. Xiaojin Ye, State University of New York, College of Technology at Farmingdale I am an Assistant Professor in the Department of Computer Systems at Farmingdale State College. My primary research interests include theoretical computer science, set operators, mathematical morphology, mathematical education, and computer science education
. Computer programming wasidentified as the most difficult aspect, whereas modeling with commercial software emerged as themost favored task. Despite some difficulties with teamwork, students expressed a strongpreference for project-based learning and group work over individual study and traditional lecture-based approaches. The insights gained from this study provide a framework for structuring FEAcourses to enhance critical skills, preparing engineering students for both academic andprofessional success.IntroductionThe foundation of FEA is the finite element method (FEM) which has its roots in the mid-20thcentury and has its foundational contributions from engineers like Richard Courant and RayClough. Initially developed for aerospace applications
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
York College at Oneonta, Oneonta, NY 13820 Yu Ning Department of Computer Science, State University of New York at Brockport, Brockport, NY 14420AbstractThe rapid integration of Artificial Intelligence (AI) across industries necessitates the inclusion of AI-relatededucation within engineering programs. However, AI education remains limited for MechanicalEngineering Technology (MET) students, who often lack strong backgrounds in math and programming.To address this gap, we design a five-week AI-enhanced module integrated within an existing roboticscourse at SUNY Farmingdale. This module introduces foundational AI and Machine Learning (ML
science, including the National Integrated Postsecondary Education Data Systemchange and achieve improvements for all stakeholders involved. Our Action Research Team: (IPEDS), American Society for Engineering Education (ASEE) Engineering & Engineering Technology by the Numbers, 2022, NSF INCLUDES Engineering Plus Tableau Dashboard, Computing Research Association (CRA) Taulbee and Data
pedagogy methods for community college students are sustainable at lowcost using the laser alignment and Michelson interferometer labs, with the free Python codesfrom Ergodic Company. The replacement of the Nd:YAG pulsed laser equipment withNitrogen-dye lasers and advances in camera technology will lower the operating cost for facultymembers with laser experience.ConclusionsWe have concluded that the Rochester Fusion Consortium Internship Program can be used tosustain interests in STEM students to learn the related skills. The instability investigation andPython computation skills are universal such that students switching away from the inertialconfinement fusion career path after learning the skills can still use them in their future
”, Computers in Education Journal, Vol. 11, No. 1, pp. 1-10.[34] Silma, N., Maulida, I., Wulan, A.P., Merawati, J. & Hasan, M.K., 2024, “A comprehensive review of Project-Based Learning (PBL): Unravelling its aims, methodologies, and implica- tions”, Journal of Education, Social & Communication Studies, Vol. 1, No. 1, pp. 10-19.[35] Ly, C.K., 2024, “Teachers’ Roles on English Language Teaching for Promoting Learner- Centered Language Learning: A Theoretical Review”, International Journal of TESOL & Ed- ucation, Vol. 4, No. 2, pp. 78-98.[36] Zhang, Z., Chang, Y., Esche, S.K. and Zhang, A.S, 2022, “Application of internet of things in online robotics class”, ASEE Annual Conference & Exposition, Minneapolis, Minnesota, USA
Paper ID #45310Comparison of Undergraduate Engineering Students and High School StudentsSolving Authentic ProblemsDr. Gang Liu, University of Pittsburgh at Bradford Dr. Gang Liu is an Assistant Professor of Mechanical Engineering Technology in the Division of Physical and Computational Sciences, at the University of Pittsburgh at Bradford. He received his Ph.D. degree in mechanical engineering in 2006 and another Ph.D. degree in engineering education in 2018. He teaches mechanical engineering undergraduate courses, including statics, dynamics, mechanics of materials, etc. His research interests include in-class
students understand the stipulations of thecontract. According to Rubio & Llopis-Albert (2022), “students read the syllabus for the extent theirexpectations will be fulfilled in terms of content and to gauge whether they have the necessaryresources and skills to acquire an adequate level of knowledge and competencies.” (p. 119) A novelapproach to deepening this understanding and to explicitly expressing expectations while teachingthe concepts of contract review incorporating the syllabus produced increased acknowledgementin aspects of the course including learning objectives and prerequisite knowledge. This increasewas evidenced by a decrease in communication between students and instructor aboutmisunderstandings surrounding the syllabus and
development as engineers.In engineering programs, the expectations for the knowledge base and competencies of graduatesare established through the attainment of ABET student learning outcomes, which serves as acomprehensive assessment of student capabilities. Conversely, employers seek graduates with aspecific skill set. The 12 highly valued skills are problem-solving, computer science, industryskills, pressure management, teamwork, creativity, structural analysis, communication, attentionto detail, educational commitment, data modeling, and leadership [1]. While the acquisition ofthese skills is integrated into ABET student learning outcomes, it is evident that these skills requirecultivation and development. Traditional lecturing predominantly
and Mechatronics Technologists andTechnicians 2022-2032 [2].The instrumentation of cosmic ray detection is well-known using expensive fast oscilloscopes tocapture the fast PMT signals. In the study of cosmic ray showers with many muon detectors,Fermi Lab used printed circuit PCB boards to replace the scopes for compact mobility and alsofor budget. We at Queensborough Community College (QCC) have improved the Fermi BoardPCB Board design to enable the detection of ultrafast cosmic rays. The interface process of thePCB, Arduino and PMT in a muon detection system offers an excellent opportunity for a studentto acquire hands-on learning of calibration, on top of the basic skills used in mechanical andelectrical technology jobs.A cosmic ray
, Speech Recognition/Analysis/Synthesis, Machine Learning and Computational Linguistics.Mr. David Mannes, City University of New York, Queensborough Community College David Mannes is a dedicated educational reformer, with a focus on experiential and situated learning strategies. He is a graduate of Fordham’s master’s program in Educational Leadership, where he studied change management and leadership theories. He is also a skilled administrator and system builder, and is adept at using technology to automate and streamline workflow.Dr. Dugwon Seo, Queensborough Community College, CUNY Dr. Seo, an Associate Professor in the Engineering Technology Department at Queensborough Community College (QCC), has been a dedicated
Department of Mechanical Engineering Technology Farmingdale State College 2350 NY-110, Farmingdale, NY 11735 Foluso Ladeinde Department of Mechanical Engineering 113 Light Engineering Building Stony Brook University, 100 Nicolls Road, Stony Brook, NY 11794-2300AbstractIn the face of advanced computational demands in data centers [1] and high-performance requirements inautomotive [2] and aviation [3] industries, traditional undergraduate thermal system design courses, whichare focused
Brainstorming with Generative AI Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--48457 6. Domènech, J. (2023, June 19). ChatGPT in the Classroom: Friend or Foe?. https://doi.org/10.4995/head23.2023.161797. Aruleba, K., Sanusi, I T., Obaido, G., & Ogbuokiri, B. (2023, December 22). Integrating ChatGPT in a Computer Science Course: Students Perceptions and Suggestions. Cornell University. https://doi.org/10.48550/arxiv.2402.016408. Altuger-Genc, G., & Tatoglu, A. (2024, April), Incorporating AI in Engineering Assignments as a Reliable Self-Directed Learning Tool: A Pilot Implementation Overview Paper presented at 2024 ASEE North East Section, Fairfield, Connecticut
-to-calculate-taylor-series- derivative-integral.[15] E. Tokgöz, S. E. Scarpinella, and M. Giannone, “Technology Decisions of Engineering Students for Solving Calculus Questions,” 2021 ASEE Virtual Annual Conference Content Access Proceedings, Feb. 2024.[16] E. Tokgöz, E. N. Tekalp, S. B. Tekalp, and H. A. Tekalp, “Undergraduate STEM Students’ Role in Making Technology Decisions for Solving Calculus Questions and the Impact of These Decisions on Learning Calculus,” 127th Annual ASEE Conference Proceedings, Computer Science Division, June 2020.[17] E. Tokgöz, “Technology Choices of Undergraduate Engineering Students for Solving Calculus Questions”, 2017 ASEE Annual Conference Proceedings, June 2017.[18] E. Tokgöz
a summer program. Christopher actively seeks professional experiences to improve skills for engineering roles in sectors like manufacturing, automotive, aerospace, or energy. ©American Society for Engineering Education, 2024 Paper ID #45298Tenmetey Tetteh-Nartey, State University of New York at New Paltz Tenmetey Tetteh-Nartey is a current senior at SUNY New Paltz pursing a BS in Mechanical Engineering. He plans on graduating this upcoming Spring and hopes to continue his learning of 3D-Printing and Additive Manufacturing alongside renewable energy ©American Society for
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
technical knowledge required of students. • Ability to learn computer programs related to audio processing and statistics. • Students should be organized, able to travel to field sites and able to coordinate test schedules for multiple participants. • Students should possess critical thinking abilities which will enable them to conduct tests and analyze the results under the supervision of the advisors.Description of our ongoing research related to wind farm acousticsThe project that these two students participated in was a part of a larger research initiative relatedto wind farm acoustics. This initiative has three main components: • Data Collection and characterization using ML/AI: The goal of this portion of the
Paper ID #45312Understanding STEM Students’ Conceptual Derivative Knowledge ThroughAnalysis of Sub-concept CognitionDr. Emre Tokgoz, Quinnipiac University Emre Tokgoz is a faculty of Department of Computer Security at SUNY - Farmingdale. His research interests in STEM education include understanding and proposing improvement ideas for advancing undergraduate and graduate students conceptual mathematics, engineering, computing, and cybersecurity knowledge. ©American Society for Engineering Education, 2024 Understanding STEM Students’ Conceptual Differentiability Knowledge Through
studied. These trends were further studiedby cohort academic level, participants in the cooperative learning program, and student athletes.The data was analyzed for its impacts and to inform future planning.The present study seeks to contribute to this body of literature by offering an investigation of therelation between department hosted out of classroom engagement activities and student GPAs forundergraduate students majoring in civil, environmental, or naval engineering. The phrase "out-of-class" is used by the authors to describe any student activity which takes place during the day,outside of scheduled class time. All such events were organized and hosted by thedepartment. Each event was communicated to students through a variety of methods
contain several fully worked example problems thatstudents can use as a learning tool. The problems will contain the use of the actualfunctions where students only use a calculator to calculate the first three termsgiven in the trigonometric formulas.Note: The use of the actual trigonometric functions are used to show that youdon’t need a calculator, but the calculator is then used for the remainder ofthe course. The purpose of this paper is not to replace the calculator, but to 1show students that a formula can be used and this takes the mystery out of thetrigonometric functions.Future Survey Data CollectionAt this point I have had considerable positive feedback on this method throughverbal
-teaching-opinion [Last accessed 3 October 2024].17. Teaching and Learning in Engineering Graduate Certificate, School of Engineering Education, Purdue University, [Online]. Available: https://engineering.purdue.edu/ENE/Academics/Graduate/certificate [Last accessed 3 October 2024].18. Engineering Education, University of Colorado Boulder, [Online]. Available: https://www.colorado.edu/academics/grad-engineering-education [Last accessed 4 October 2024].19. Contributors, “Best Undergraduate Engineering Programs,” US News, 2023. [Online]. Available: https://www.usnews.com/best-colleges/rankings/engineering [Last accessed 4 October 2024].20. Olin College of Engineering, Faculty/ Information about Olin/ Catalog 2024-25, Olin