Paper ID #45298Engineering Design Experience via Exploring Mechanical Anisotropy of 3D-printedStructuresMarco Hermida, State University of New York at New Paltz Marco Hermida obtained a bachelor degree in mathematics at Vassar College and is currently pursuing a second bachelor degree in mechanical engineering at SUNY New Paltz. He is interested in applying mathematical skills to engineering design, including the research and development of additive manufacturing technologies.Ping-Chuan Wang, State University of New York at New Paltz Ping-Chuan Wang is an Associate Professor in the Division of Engineering Programs at
creating a prototype, developing a new process, or improving an existing system. This focus ensures that students’ work has potential application in real-world settings, enhancing both their learning experience and their impact on the industry.Integration of New Technologies: An Overview of Senior ProjectsIn the Mechanical Engineering Technology Department, we leverage senior projects as a dynamic platformfor applied learning, enabling students to access and learn cutting-edge technologies crucial for modernengineering practices as well as real world applications. This approach allows students to explore a varietyof emerging fields beyond the traditional curriculum.One example is artificial intelligence (AI) and machine learning (ML
/ML tools to solvereal-world engineering problems. For most engineering applications, simple AI models are often sufficient,and the ability to effectively apply these models is more critical than developing new ones. As a result,traditional AI/ML courses designed for Computer Science students may not be appropriate for METstudents, who should be trained as AI practitioners rather than AI model developers.To address the challenges of teaching AI/ML to MET students, we’ve designed a five-week AI/ML modulethat integrates directly into an existing robotics class. This approach allows us to bypass the need for newcourses in an already packed curriculum while providing practical exposure to AI within a relevant field.By embedding the AI/ML module
Paper ID #45349Integrating AI in Engineering Education: A Five-Phase Framework for ResponsibleChatGPT UseDr. 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. Akin Tatoglu, University of Hartford Akin Tatoglu is an Associate Professor of Mechanical Engineering at University of Hartford, CT. He received his Ph.D. degree in mechanical engineering from Stevens Institute of Technology, NJ, in 2015. His research focuses on robotics
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
Teaching of Finite ElementAnalysis CoursesAbstractThis study investigates the optimal combination of learning materials and teaching methods for aFinite Element Analysis (FEA) course within the Mechanical Engineering Program at SUNY NewPaltz, New York. The challenge lies in balancing the teaching of FEA's mathematical theory andhand calculations, guiding students through basic FEA model programming, and training them inthe use of commercial FEA software. Through student surveys, the study evaluates theeffectiveness of various learning materials and pedagogical approaches. Findings indicate thatwhile students recognize the importance of understanding the theoretical foundations of FEA, thecomplex mathematics involved presents significant challenges
full-time employment as Software Engineers or in related technologyroles. The ideal candidate was someone who was eligible to work in the United States, in goodacademic standing, interested in technology, and enthusiastic about working in a corporateenvironment at a major company. Overall, three cohorts of students have completed the program,and over 59% of them have secured full-time employment at the companies they apprenticedwith.Previously, the authors participated in a year-long training program to revise the curriculum ofengineering technology colleges. They found that while technical knowledge is emphasized, softskills are often neglected. Partner companies pointed out that new graduates lack these essentialsoft skills, which are
other how tolive,” John Adams [4]. The concept of applied learning has been fundamental to education in theUnited States long before the term “applied learning” existed. Applied Learning is “aneducational approach that focuses on the practical application of knowledge and skills acquiredin the classroom to real-world settings.” It has many benefits, including increased engagement,enhanced critical thinking, improved retention, real-world connections, and career readiness[5]. Similar to many colleges of engineering and engineering technology, applied learning hasbeen at the roots of Farmingdale State College, State University of New York (SUNY) since itwas founded in 1912 as the New York State School of Agriculture on Long Island. However
methodology consisting of three parts: (1) identification of the keyknowledge, skills, and abilities for climate change in engineering, (2) design of new curriculumthat integrates climate change, and (3) assessment of the newly designed curriculum. The thirdsection presents the results of the assessment of the new curriculum and a discussion of theimplications of the results for further improvement of the curriculum. Lastly, the fourth sectionpresents the conclusions of the paper and identifies future works that will be generated as a resultof this research effort.Literature Review of Climate Change Integrated into Engineering EducationThe literature focused on climate change in engineering education is growing rapidly as theimpacts of climate change
the development of expertise. Theincreased willingness to engage with difficult material indicates that the methodology successfullyencouraged students to invest time in practicing and refining their skills.Students reported improvements in their problem-solving skills as a result of the teachingmethodology (mean score: 3.75). This finding is particularly significant, as problem-solving is afundamental skill in engineering and requires extensive practice to develop. The positive responsesuggests that the multiple-attempt approach provided students with the necessary opportunities tohone their problem-solving abilities. Notably, students reported increased confidence in theirability to apply course concepts to new situations (mean score: 3.63
the following: He was an Assistant Professor of Engineering at Penn State Fayette for 10 years between 2000 and 2010. He served as an Associate Professor of Construction Management and Engineering Technology with the Department of Agricultural and Engineering Technology at Sam Houston State University in Texas for five years from 2010 to 2015. He also taught as an Adjunct Professor with Fairleigh Dickenson University in New Jersey, USA in the 2014/2015 academic year. He worked as an instructor with the College of Mainland in the Galveston area in Texas, USA. Dr. Kuzmar has dual citizenships. He is a Jordanian as well as a US citizen. ©American Society for Engineering Education, 2024
-University or College) for 2023 and the Fairfield University’s Jeffrey P. von Arx SJ Award for Excellence in Community Engagement 2023-24. ©American Society for Engineering Education, 2024Empowering Electrical Engineers: Project-Based Learning for Environmental SustainabilityAbstractEnergy demand continues to rise annually. As we prepare electrical engineering students for theworkforce, the curriculum primarily emphasizes the design of reliable electrical and electronicsystems, power generation, and energy distribution, often placing less focus on theenvironmental impacts of energy consumption. To promote energy security, some schools offercourses on renewable energy resources and
of AI Assistance on Student Learning: A Cross- Disciplinary Study in STEM EducationAbstractWe examine the widespread use of AI in the form of Large Language Models (LLMs) as a toolfor academic assistance. The study investigates whether students studying with AI assistanceretain more information compared to those employing standard alternative approaches such asusing a basic search engine, reviewing with a friend, or contemplating the materialindependently. The research reveals that while basic tasks and retention may benefit from AIassistance, outsized gains are lacking. Counterintuitively, specific tasks related to deep thinkingand conceptual exploration are found to be better served with alternative approaches. Wecompare
STEM Projects Look like in Middle School and High School Classrooms? A Systematic Literature Review of Empirical 2024 ASEE Middle Atlantic Section Conference Studies of iSTEM Projects.” International Journal of STEM Education, vol. 9, no. 1, 2022, pp. 73–15, https://doi.org/10.1186/s40594-022-00390-8.17. Smith, Robert W. , “Time for change: New visions for High School”, Chapter 5: Reforming the most troubled high schools: The Talent Development Approach. Hampton Press, 2006.18. Johnson, Carla C., et al. “Car Crashes, Grade 12: STEM Road Map for High School. STEM Road Map Curriculum Series.” NSTA Press, NSTA Press, 2018, https://doi.org/10.2505/9781681405469.19. Ovadiya, Tikva. “Implementing Theoretical
strategies, or providing real-time assistanceduring project development, Generative AI empowers students to navigate challenges effectivelyand maximize their learning outcomes. Furthermore, Generative AI facilitates knowledge expan-sion and idea generation in PBL settings. Leveraging vast datasets and advanced algorithms, AItools can assist students in exploring new concepts, brainstorming innovative solutions, and gen-erating creative ideas for their projects. Whether generating design concepts, simulating engineer-ing scenarios, or proposing alternative approaches, Generative AI serves as a valuable resource for Fall 2024 ASEE Middle Atlantic Section Conference, Farmingdale, New York, USA, October 25-26
percent (21%) of RPs maintained the same interest rankings (high – high) in both pre- and post-interviews. Despite learning more about AEC during the fAEC-KLM intervention, these RPs had already ranked their knowledge high in the pre-interview due to misinterpreting the scope of engineering in AEC. With their new understanding, they felt there was no higher rank available. iii) Decreased AEC knowledge ranking (N=2): Fourteen percent (14%) of RPs ranked their AEC knowledge high (5) in the pre-interview but ranked it mid (3) in the post- interview. This decrease in ranking was not due to reduced knowledge but rather a more realistic assessment of their knowledge
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
education and thepractical skills required by the thermal systems industry. By introducing a comprehensive two-week moduleat the end of the semester, we aim to better align educational practices with the needs of modern industrialenvironments, helping students to become better prepared for professional engineering roles.Our proposed applied learning strategy addresses the identified gaps in the existing curriculum byintegrating cutting-edge thermal management technologies, such as TPMS, topologically optimizedsurfaces, and advanced manifold-microchannel heat exchangers, alongside practical design experiencesusing INSTED software. This approach not only deepens students' understanding of both fundamental andadvanced thermal system concepts but also
for understandingstudents’ mental construction of power series concept is limited [13]. Several STEM majors’advanced level calculus conceptual comprehension (such as the concept of power series expansionof functions) that also relates to numerical methods is critical in advanced level of mental abilityto solve more advanced problems. Designing the curriculum right with the right instructionaltechniques that covers missing sub-concepts is the key to success for helping students in learningcalculus. This approach may help students to develop a better conceptual understanding with animproved ability to mentally construct concepts and their sub-concepts in calculus, and CLD canhelp in accomplishing these tasks.Action, Object and Process (APO
Paper ID #45320Integrate the iPad, Apple Pencil, and Goodnotes, to enhance teaching effectiveness.Prof. Arzu Susoglu, SUNY Farmingdale Arzu Susoglu is currently pursuing a PhD in Computer Science and Engineering at Bridgeport University, with an expected completion in 2025. She earned her master’s degree in Electrical and Computer Engineering from the New York Institute of Technology in 2010. After several years in the IT field, Arzu transitioned to academia in 2016, driven by her passion for teaching. She now serves as an Assistant Professor in the Computer Security Department at Farmingdale State College, where she teaches
mathematics, many engineering applications require an extensive understanding ofthe geometry (or visual understanding) of the abstract concept. One way of analyzing undergraduate students’conceptual mathematics knowledge can be through the analysis of matching between their concept image andconcept definition correspondences. The concept image and concept definition approach of Dreyfus & Vinner[9] is one of the techniques applied in mathematics education.The concept image and concept definition of functions in mathematical education research is used in severalstudies. Aspinwall et. al [2] investigated on students’ uncontrollable mental imagination as a part of graphicalconnections between a function and its derivative. A geometric approach is