curriculum presents several unique challenges. These challenges arisefrom both the structure of the current MET program and the specific learning needs of MET students.Firstly, the existing MET catalog is already packed with essential courses, making it difficult to introducenew AI/ML courses. Teaching the full spectrum of AI/ML, from theory to coding, typically requires 1 Fall 2024 ASEE Middle Atlantic Section Conferencemultiple courses. However, with limited space in the program, adding one or more dedicated AI/ML coursesis a significant challenge. This would require a complete curriculum overhaul, which may not be feasiblegiven the current structure.Secondly, most
, have emerged as critical platforms for fostering creativity, problem-solving, andentrepreneurial skills among engineering students. These events not only provide participantswith opportunities to apply their technical knowledge and collaborative abilities but also exposethem to real-world challenges that mirror those faced by professionals [1]. A recent study alsofound that ICPs improved students self-awareness and open mindedness [2]. However, despitetheir potential benefits, ICPs are often accompanied by significant barriers that may hinder thebroad participation of all student groups, especially underrepresented students in STEM.Addressing these barriers is crucial for creating inclusive and effective learning environmentsthat address the
) 1 has emerged as a revolutionary force, reshaping industriesand societies across the globe. At its core, Generative AI refers to a class of AI algorithms capableof generating new content, ideas, or solutions autonomously, often mimicking human creativityand ingenuity 2. This transformative technology has found applications in a myriad of sectors,including entertainment, healthcare, finance, and education 3, 4, 5, 6, 7 refer to Figure 1., Beyondthese examples, Generative AI continues to permeate various other sectors, from manufacturingand agriculture to transportation. Its ability to generate realistic simulations, optimize complexprocesses, and augment human capabilities holds immense promise for the future of work andsociety at large
four-bar mechanism often involves multiple objectives and constraints, such asminimizing mechanical stress while maximizing motion efficiency or achieving a specificmotion trajectory. ML algorithms, particularly optimization techniques like Genetic Algorithms(GA), along with more advanced AI methods such as deep learning, can automate and improvethis process by efficiently searching through a large space of design possibilities. [1, 2, 3] GAsmimic natural selection processes, evolving better designs through iterations. In four-barmechanism synthesis, GAs can optimize the estimation of parameters related to link lengths andjoint positions to achieve desired motion profiles (e.g., coupler curve shape or motion path)without manually solving
procedures for the examples along withassessment tools faculty can use to assess the examples.Introduction:The integration of Artificial Intelligence (AI) in education has been a growing trend in recent years,with early applications focusing on providing more efficient and effective ways to support thelearning process, such as automated grading and personalized learning [1]. As the incorporationof AI into education progressed, it also became a widely debated topic given the concerns oforiginality and plagiarism [2]. As the access to AI platforms such as ChatGPT is free and easilyaccessible and it is not possible to deny AI’s potential use by students to complete theircoursework. While these concerns are valid, it is crucial for educators to guide
theirdevelopment as skilled communicators. Relying solely on AI can lead to a decline in criticalthinking and creativity. It is important to carefully consider the ethical implications of using AI-generated content, particularly in academic and professional settings, where the boundarybetween AI assistance and plagiarism could become less clear. Additionally, the potential misuseof personal information and data security concerns related to AI writing tools should bethoroughly examined. It's worth noting that AI tools may encounter challenges in understandingcomplex contexts, cultural references, and emotional subtleties, potentially leading tomisinterpretations in the generated content.The ”AI Writing Tools” used for the analysis are listed in Table 1
, students will complete a labassignment (Lab 1) without any AI assistance to establish a baseline understanding. They willthen engage with ChatGPT to review Lab 1 questions, asking clarifying questions to facilitatetheir learning. Following this AI-assisted learning phase, students will complete a second labassignment (Lab 2), featuring similar questions but without AI support.The proposed study will analyze performance and behaviors associated with ChatGPT usage,aiming to illuminate the educational implications of AI integration. Ultimately, it seeks tounderstand AI's impact on computational thinking and overall learning efficacy while identifyingchallenges such as potential cheating and diminished learning outcomes. Additionally, it willexplore
drafting tool. In either case, special criteriasuch as work holding method, stock orientation, and part zero need to be specified. Finally,students learn basic 3D geometry construction methods and 3D toolpath programming for areasthat cannot be machined using typical 2D toolpath commands. This course structure ensures thatstudents are familiar with each step of the programming process before moving on to moreadvanced topics.Table 1 shows the course topics and Student Learning Outcomes for the CAM course. The courseis 15 weeks long, with 13 weeks dedicated to delivering course material and the remaining 2weeks used for exams. This structure applies to both online and in-person settings.Table 1: Course Topics and Student Learning Outcomes Topic
teachingto alternative modes. This change in mode of instruction was not just limited to higher education,but also at elementary schools through K-12. This transition to online course development andteaching without adequate training brought challenges to instructors as well as students (1 – 5).Much of the focus during Covid-19 was to convert in-person lectures to online zoom format(synchronous), since it was much faster to adopt. However, there were many instances, such asfor laboratory classes, zoom format was inadequate. In such situations, the courses were offeredin a hybrid format with limited in-person laboratory sessions. Currently, emergency onlineinstruction is not the norm anymore since the Covid-19 restrictions have eased. While there
MechanicalEngineering students at Farmingdale State College. There are typically three class sessions oftwenty students each semester. Historically, the lab portion of this course has been focused onsimulation experiments through National Instruments Multisim software. The textbook used forthe lab portion was developed by Professor Leon J. Taub of Farmingdale State College specificallyfor this course and therefore covers the course topics very well [1]. However, students haveindicated in course evaluations that they would like to see more hands-on activity in the courseand that they do not have a real sense of the circuits being taught in the lecture with the simulation-based labs. In this paper, I will outline the hands-on labs that I plan to introduce
, acollaboration of our Community College with the Brookhaven National Lab Nuclear Educationand Training Program. The radiation certificate program requires two radiation courses to betaught before the fundamental Physics-Two contents. The model-based pedagogy in Physics -Two was designed to complement the phenomenon-based pedagogy in the prior RAD-1 andRAD-2 courses. The Physics-Two syllabus was adjusted with simplification in topics such asacoustic oscillation, magnetic inductor, etc. to provide additional coverage for the contents inquantum modeling, radiation, absorption, muonic technology applications, etc. The grading andassessment pedagogy followed the standard practice, as summarized conveniently by theUniversity of South Carolina. The assessment
approved 159applied learning courses (both full and enhanced courses) and 144 non-credit co-curricularapplied learning activities [1]. Since the 2018 launch of the Nexus Center for Applied Learningand Career Development, 56 of their applied learning co-curricular experiences have beenapproved [2]. In addition, the Carnegie Foundation selected Farmingdale State College for the2020 Community Engagement Classification Title [3]. The results of this study will provideinstitutions with an understanding and shared resources on how to incorporate applied learningthroughout a school of engineering, across campus, or potentially as a baccalaureate graduationrequirement.Introduction “There are two educations. One should teach us how to make a living and the
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
conversations with my students over the past 4 years. To quantify thispositive verbal feedback the actual effectiveness will be measured in upcomingtrigonometric classes with a student questionnaire. The questionnaire will be givenat the end of the course.IntroductionBelow are the actual formulas for sine, cosine, and tangent functions. Forsimplicity in computational purposes only the first three terms in the infinite serieswill be used. 𝑥3 𝑥5 𝑦 = 𝑠𝑖𝑛𝑥 = 𝑥 − + 6 120 𝑥2 𝑥4 𝑦 = 𝑐𝑜𝑠𝑥 = 1 − + 2 24
work is to develop Machine learning or artificial intelligence (ML/AI) based methods to identify specific aspects of the acoustic emissions surrounding wind farms. The effective use of ML/AI allows for the collection and classification of large amounts of sound file data, automating the process of isolating wind turbine sounds for further study. [1] • Perceptual analysis of the psychoacoustics of wind farm noise: Using the collected and classified data, the second goal of the ongoing research is to identify relationships between characteristics of wind farm noise and the perception of these sounds. [2] Recent pilot work focused on the efficacy of paired comparison methods in the assessment
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
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
, finalizing the besttechnical solution, and presenting the technical solutions to the sponsors [1-2]. The problemsolver must have the abilities and skills to identify, analyze, and solve problems practically andeffectively. These skills are valuable and critical in both academic and real-world settings.Developing these problem-solving skills in the early STEM stage, like high school, offersnumerous benefits to the students. It not only boosts their critical thinking, logical, and analyticalmindsets but also encourages innovative and creative thinking to help generate shining ideasfrom various perspectives. In addition, problem-solving progress cultivated the grit andperseverance of the students under challenging circumstances.BackgroundThe difference
, Engineering, and Construction (AEC) fields remains a global issue [1], [2]. Despiteefforts to increase diversity in Science, Technology, Engineering, and Mathematics (STEM)fields, African American women continue to be significantly underrepresented in AECprofessions [3], [4]. This disparity not only limits individual career opportunities but alsodeprives the industry of diverse perspectives and talents crucial for innovation and problem-solving in an increasingly complex world [1]. To address this challenge, targeted interventionsthat focus on early exposure and engagement are essential. The formative middle school yearsrepresent a critical period for shaping career interests and aspirations, particularly for youngwomen [5], [6]. It is during this
™ 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
change, theyneed to be equipped with skills in two main areas: (1) risk and resilience and (2) game theory.Skills in risk and resilience are necessary to be able to properly analyze and decide on solutionsthat minimize the risk that climate change will have on critical infrastructure systems. Skills ingame theory are necessary to be able to navigate the complexity that climate change representswhich creates a highly uncertain and entirely dependent upon the choices that are made todayand into the future. The introduction of course modules was focused on climate change into aselection of the courses in the undergraduate curriculum of civil engineering fostering the growthof the mindset of students to be able to take on the daunting challenge of
lab incidents working with the lathe [1]. Therefore, any method to increase the operatorsafety is desirable. This paper demonstrates designing a novel work-holding tool to be usedduring lathe turning operations. The device, which is called the Integrated Faceplate Dog(I.F.D.), eliminates the need for using the traditional work-holding accessory on a lathe (afaceplate and lathe dog). As a result, students working with lathes will experience not onlysafer workflow, but also much smoother workflow, with the final manufactured part’squality enhanced and setup time reduced. Overall, there are numerous educational outcomesas well: students will be able to produce better quality components in a shorter period oftime.IntroductionThe I.F.D., or
NSF S-STEM Funded iAM Program: Lessons Learned Implementing a Collaborative STEM Workshop for Community College and University PartnersAbstractIn alignment with the NSF Scholarships in Science, Technology, Engineering and MathematicsProgram (S-STEM) [1], a Two-Year Community College, Nassau Community College (NCC) andfour-year university, Hofstra University (HU) are within a five-mile radius of each other and arecollaborating. The objective is to recruit academically talented low-income students through twopipelines, retain them through transparency of the hidden curriculum, and see them through tograduation in a STEM field from HU [2]. The Integrated and Achievement Mentoring (iAM)Program is a Track 3 (multi
contracts. Advances in intelligent systems and computing, 54.Rubio, F., & Llopis-Albert, C. (2022). Best practices in syllabus design and course planning applied to mechanical engineering subjects. Multidisciplinary Journal for Education, Social and Technological Sciences,9(2), 118-124.Ulmer, J. M. (2018). Evolving characteristics of today’s applied engineering college-level educator: 2013 to 2017. The Journal of Technology Studies, 44(1), 28–40.
Theory. The modification of the implementation to the highschool students in Outreach program is presented, together with suggestions for improving thefirst assessment. Recruitment for out-of-state high school students via the New York StateExcelsior scholarship pathway and the articulation agreement strategies to facilitate communitycollege students interested in laser driven fusion jobs are discussed.IntroductionNuclear fusion driven energy sources are one of the primary objectives of the US GovernmentDepartment of Energy. Three nuclear fusion development hubs were selected as of December2023, namely, Colorado State University, Lawrence Livermore National Laboratory, and theUniversity of Rochester [1]. About half of a trillion dollars has been
researched, with studies focusing on AI’s role inproviding personalized feedback, enhancing student engagement, and offering scalable learningsolutions. As such, the integration thereof has emerged as a transformative force, reshapingpedagogical approaches and learning experiences. Various studies highlight the significance ofAI literacy, student readiness, and the adaptation of educational frameworks to accommodate theabove based on diverse learning styles, backgrounds, and more.Ng et al. [1] emphasize the necessity of defining AI literacy, which encompasses understandingAI's capabilities and ethical implications, as well as evaluating its impact on learningenvironments. The study proposed four aspects: know and understand, use, evaluate, and
,consistent with the relatively high demands from the high school students in our Outreach andDEI mission in an urban community college setting.IntroductionThe community college engineering technology students in our local New York City area lackthe opportunity to acquire hands-on experiential experience to apply for jobs related tocalibration. A search of calibration technician on indeed.com showed that there were 100 jobopenings in New York City, while calibration engineers showed 25 jobs (last assessed Aug 20,2024). According to the US Bureau of Labor Statistics, calibration technologists and techniciansare expected to be at 4% increase in growth rate from 2022 to 2032 [1]. In comparison, there is adrop of 3 % in growth rate for Electro-mechanical
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
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
data is collectedfrom 20 STEM students at a university located at the Northeastern side of the United States. Written and videorecorded information is collected and analyzed qualitatively and quantitatively to understand STEM students’ability to solve a research question related to derivative, absolute value, and trigonometric function concepts.The pedagogical techniques used in this work to analyze the collected data are Action, Process, Object andSchema (APOS) theory introduced in [1], and concept image and concept definition introduced in [16]. Thewritten results indicated participants’ elementary level ability to form a bridge between the derivative of theabsolute value function and its image. The participants also had hard time to