Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Heather Louise Lai, State University of New York at New Paltz

Tagged Topics

Diversity, Professional Papers

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

Conference Session

Technical Sessions 3

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Arzu Susoglu, SUNY Farmingdale

Tagged Topics

Diversity, Professional Papers

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

Conference Session

Technical Sessions 5

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Matthew Fried, SUNY Farmingdale; Mohammad Alshibli

Tagged Topics

Diversity, Professional Papers

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

Conference Session

Technical Sessions 3

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Emre Tokgoz, SUNY - Farmingdale State College

Tagged Topics

Professional Papers

-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

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Abdullah Konak, Pennsylvania State University, Berks Campus; Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus

Tagged Topics

Diversity, Professional Papers

. ©American Society for Engineering Education, 2024 Comparative Analysis of Human versus AI-Generated Codes Regarding the Challenges Faced by Students in Innovation Competitions and ProgramsAbstractIn the dynamic field of educational technology, there is an increasing emphasis on incorporatingartificial intelligence (AI) into educational settings. Through interviews with mentors andstudents, this study compares the effectiveness and reliability of AI-generated qualitative codeswith human-generated codes in addressing student challenges during Innovation Competitionsand Programs (ICPs), such as hackathons, ide competitions, and pitch competitions. While ICPsencourage creativity and innovation, participants often encounter significant challenges

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Graham Werner

State University of New York at New Paltz, Modelling of Diffusiophoretic Motion for Microplastic Division of Engineering Programs

Conference Session

Technical Sessions 2

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Orla LoPiccolo M. Arch, Pdip (CM), Architect, Farmingdale State College, State University of New York

Tagged Topics

Professional Papers

with hundreds of jobs. She has also written and presented 20 scholarly papers on innovative pedagogy, including improving student spatial reasoning, teaching sustainable construction methods, and service learning. Professor LoPiccolo was awarded the Phenomenal Woman for 2018 Award by the Office of Student Activities and the Student Government Association, Farmingdale State College, the Innovative Pedagogy Award, Center for Teaching, Learning, and Technology, Farmingdale State College in 2017, the SUNY Chancellor’s Award for Teaching Excellence in 2018 and the American Institute of Architects, Long Island Chapter Educator Award, 2019. ©American Society for Engineering Education, 2024

Conference Session

Technical Sessions 4

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Heather Lai, State University of New York at New Paltz; Anne C Balant, State University of New York at New Paltz

Tagged Topics

Diversity, Professional Papers

Paper ID #45315Implementation of short-term undergraduate psychoacoustics research projectinvolving human subjects.Dr. Heather Lai, State University of New York at New Paltz Heather Lai is an Associate Professor of Mechanical Engineering at SUNY New Paltz, NY where she teaches courses in dynamics, system dynamics, finite element analysis and computer simulation. Her professional background and research interests include automotive vibration (Motorola Inc.), musculoskeletal biomechanics (BME, Wayne State University), room acoustics, wind farm acoustics and the dynamic behavior of 3D printed multi-materials. Over the past 8

Conference Session

Technical Sessions 3

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Daniel Blessner, Pennsylvania State University, Wilkes-Barre Campus

Tagged Topics

Diversity, Professional Papers

Paper ID #45358Helping Mathematically Under-Prepared Students Understand the ActualTrigonometric FunctionsMr. Daniel Blessner, Pennsylvania State University, Wilkes-Barre Campus I’m a faculty member at the Penn State Wilkes Barre campus. I’m a civil and chemical engineer. ©American Society for Engineering Education, 2024 Helping Mathematically Under-Prepared Students Understand the Actual Trigonometric FunctionsAbstractMaking engineering education accessible to mathematically under-preparedstudents entering college is difficult due to the demanding mathematicalrequirements the major demands