Society for Engineering Education, 2024Relation between Out-of-Classroom Engagement Activities and Student PerformanceSarath Chandra K Jagupilla, Elizabeth O’Connell, Muhammad R HajjAbstractIn this study, the relation between out of classroom engagement activities and studentperformances, measured through GPAs, for engineering undergraduate students in civil,environmental and naval engineering majors is assessed. Five different categories of events wereidentified– career development, community building, physical activity, academic support, andfield trips. Attendance at each event was tracked and academic performance after the semesterwith activities was analyzed. In AY 2023–2024, the department hosted twenty-oneundergraduate out-of-classroom
Paper ID #45384Designing hands-on labs for an electrical principles course as part of themechanical engineering programDr. Alireza Dalili, Farmingdale State College Assistant Professor ©American Society for Engineering Education, 2024 Designing hands-on labs for an electrical principles course as part of the mechanical engineering program Alireza Dalili Farmingdale State College - SUNYAbstract Mechanical engineering students at Farmingdale State College take MET230: ElectricalPrinciples as a core course to be
Paper ID #45383NSF S-STEM Funded iAM Program: Lessons Learned Implementing a CollaborativeSTEM Workshop for Community College and University PartnersProf. Margaret A Hunter, Hofstra University Margaret Hunter,Ph.D., is an Associate Professor and Associate Chair of Engineering at Hofstra University in the Fred DeMatteir School of Engineering and Appplied Science. She has been teaching in the Civil Engineering program for 25 years. Her educational research focuses on broadening the participation in enigineering. This has included both formal and informal learning activites in pre-college, developing a course framework to aid
. ©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
. ©American Society for Engineering Education, 2024 Adjusting and Designing Assessments in Reducing the Negative Impact of the Artificial Intelligence: A Proposed Study of ChatGPT Usage in Introductory Java Programming Course Xiaojin Ye and Nur Dean Department of Computer Systems Farmingdale State College, SUNYAbstractArtificial intelligence (AI) plays a significant role in both teaching and learning, particularly incomputer science courses. Educators are growing interest and concern about artificialintelligence tools like AI-powered chatbots. One of the serious concerns in the academicinstitution is
the literature that students have only a 17% chance of taking a course related toclimate change. Through the introduction of course modules 100% of the students that passthrough the Civil Engineering program are exposed to climate change and its impacts and theresults support that this structure is effective and has achieved the desired results of betterpreparing students to be able to address the future challenges that climate change will present.Future WorkThe results presented in this research effort represent a mid-course assessment and thus theresults may improve beyond those at present. As part of the course design, practical applicationprojects are included that will expose students to real-life problems that incorporate
UNC HR include website teaching and 06/20/2023 developing Common First Year (CFY) introductory engineering courses2 Randolph Engineering Assistant “Ph.D. in Civil Engineering or a ASCE Macon Program – or closely-related field at the time of Classified Jos College, VA, Civil Associate
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
™ 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
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
students to actively contribute to shaping a sustainable future throughinformed advocacy.Methods:The section on Introduction advocated for integrating energy and sustainability topics into theelectrical engineering curriculum. This section outlines the project-based assignments andresources provided for the second course on electric circuits. The course, titled “FrequencyDomain Circuit Analysis,” builds on the introductory electric circuits course within the electricalengineering program at Fairfield University. It covers key topics such as frequency domainanalysis of passive and active circuits, transformer circuits, frequency response of filters andresonant circuits, transient analysis of first- and second-order circuits, and introduces three
Carlo muon trajectorysimulation, consistent with the different math requirements in the ABET accredited programs.The building skills of detection and tracking systems are compulsory as the engineeringtechnology component in the pedagogy. The compulsory component is consistent with theengineering technician job requirements listed on indeed dot com and the relatively largerenrollment of engineering technology students in our community college. The variation of thepercentage of each of the three pedagogical components (science, math, technology) to fulfill theDEI mission in an open-admission community college setting is presented with assessment.Expansion of the pedagogy for medical related student projects as orthopedic robots is discussed
faculty members in Queensborough Community College, a Diversity Equity InclusivenessDEI community college in an urban area of New York, have decided to prepare our students whoare interested to compete for the opportunities offered by the Rochester Fusion Consortium oninertial confinement fusion technology. The College’s webpage says that “Our students hailfrom 127 unique countries and speak 78 different languages. We are a Minority-ServingInstitution” [4]. The Science Technology Engineering and Math (STEM) students in the NewYork State Collegiate Science and Technology Entry Program (NYS CSTEP) program are alsorecruited as well.The learning objectives include the (1) alignment of laser cavity and Michelson interferometerfringe measurement, in
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
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
ac- countability”, GSC Advanced Research and Reviews, Vol. 18, No. 3, pp. 050-058.[31] Bahroun, Z., Anane, C., Ahmed, V. & Zacca, A., 2023, “Transforming education: A com- prehensive review of generative artificial intelligence in educational settings through biblio- metric and content analysis”, Sustainability, Vol. 15, No. 17, p.12983.[32] Al Hamad, N.M., Adewusi, O.E., Unachukwu, C.C., Osawaru, B. & Chisom, O.N., 2024, “A review on the innovative approaches to STEM education”, International Journal of Sci- ence and Research Archive, Vol. 11, No. 1, pp. 244-252.[33] Zhang, Z., Zhang, A.S., Zhang, M. and Esche, S.K., 2020, “Project-based courses for B. Tech. program of robotics in mechanical engineering technology
Peradeniya in Sri Lanka and Ph.D from City University of New York. Currently, he is working as a faculty member at Queensborough Community College of CUNY. ©American Society for Engineering Education, 2024 Assessment of radiation learning in Physics-Two Course using the US Guidelines for nuclear engineer and technician careersAbstractThe learning of radiation in terms of the radiation absorption law, radiation energy spectrum,muon examination of nuclear waste, etc., have been deployed in a standard Physics-Two coursewith students in a community college setting. The syllabus extension to include modern topicsand radiation content is necessitated due to the offering of a radiation certificate program
in school, particularly noting the underrepresentation of girls in engineering-related classes. These findings highlight a significant gap in accurate AEC knowledge amongAfrican American middle school girls prior to the fAEC-KLM intervention, underscoring theneed for targeted educational programs that provide clear, accurate information about AECcareers and kinesthetic experiences in these careers. Post fAEC-KLM intervention, all RPs showed more knowledge on AEC. They attributedthe gain in knowledge on AEC to the effective interactions within the fAEC-KLM. a. AEC Lectures (N=7): Well-structured lectures can be effective in transmitting complex information [20]. According to RPs, the AEC lectures had the most impact on their AEC
, and studentsare currently using these to aid in completion of structured (homework) assignments. AdditionalMATLAB Grader assignments have been developed to perform function generation synthesisusing the built-in MATLAB optimization functions described earlier and will be deployed inorder to aid students in the completion of a mechanism synthesis project.Barriers to the implementation of AI to undergraduate engineering coursesThere are a number of barriers to implementation of AI related solutions in an undergraduatemechanical engineering course. Some of the most significant identified so far include:Lack of programming experience. While the majority of the students in the course have hadsome computer programming experience, as a programming
as, investigating other components of the process such as building(ASPiRe) is a 10-week, intensive program for students interested in envelopes and HVAC systems.pursuing a research project related to their major under theguidance of a faculty mentor. It was a pleasure to have mentorshipfrom Hofstra’s Engineering department, Dr. Lynn Albers, andWalden Environmental Engineering’s CEO, Joseph Heaney,throughout the project. Figure 1: Hofstra University’s Weed Hall Figure 2: Weed Hall’s Lab
engineering topics like Materials Science and Statics in their second year. They do notencounter CAM until their junior year. Since there is a one-year gap between the related topics,the CAM course needs to be designed with proper guidance on the prerequisite materialsthroughout the learning process.This paper presents the development and assessment methods of the CAM course at FarmingdaleState College. The course teaches students how to use MasterCAM, one of the leading softwaretools in the industry, for CAD modeling and toolpath programming. The course also incorporatesbest practices in machining, which are crucial for toolpath programming. Given the wide range oftopics covered, the assessment methods for these topics vary. The course also
”. • Students were asked to submit the following materials after they finished the project:•Ordinary differential equation (ODE) models can effectively represent biological processes ➢ Record their understanding of each ODE model in a WORD document. related to students’ everyday experiences and offer them the opportunities for making real- ➢ Record their simulation results of each ODE model in the WORD document. world predictions [1-5] . ➢ Provide their Python program for each ODE model in Google Colab.•Artificial intelligence tools, such as ChatGPT, offers a novel approach to improve students‘ understanding of ODE modeling, ignite students’ interest in math
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
: Plan of Action: Collected Data:Participatory action research (PAR) is a research methodology inwhich individuals impacted by a particular issue engage actively Our action plan investigated whether system change is possible? Wewith researchers throughout the research process. This assembled a diverse and engaged team representing eight countries, We examined national education datasets relevant to engineering and computercollaborative approach seeks not only to deepen understanding ten first languages, and thirteen home universities.of the problem but also to facilitate collective efforts to drive
little research experience to completeresearch involving human subjects in a compressed time frame.Because of the advance preparation and support provided throughout the program, the studentsdemonstrated a high level of autonomy in completing the project. This sense of ownershipresulted in the successful collection, analysis and presentation of the data collected using severaldifferent psychoacoustic listening tasks. Because of its careful design, the summer researchprogram described here allowed undergraduate STEM students to gain an appreciation of theimportance of human factors in research and engineering design while developing research andprofessional communication skills. Exposing STEM students to human subjects research early intheir
Paper ID #45385Writing skills can be improved using AI tools: An AnalysisDr. Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College Rajarajan Subramanian currently holds the position of Associate Teaching Professor of Civil Engineering and Construction (SDCET) programs at Pennsylvania State University at Harrisburg. He has 25 years of experience in academia, in teaching roles, including 10 years at Annamalai University in India and three years at Linton Institute of Technology in Malaysia. He also has 10 years of professional engineering experience. Prior to joining Pennsylvania State
, Farmingdale State College has evolved into a comprehensive educational institution,transitioning from a two-year associate institution to a four-year baccalaureate college with fourschools – Business, Engineering Technology, Arts and Sciences, and Health Sciences – and nowoffering a master's program with new programs in development.In response to the SUNY directive to make applied learning activities available to all campusstudents, the Provost's Office at Farmingdale State College fostered collaboration by creating anApplied Learning Committee. This committee, comprising faculty representatives from each ofthe four schools and representatives from various campus entities, including the newly createdNexus Center for Applied Learning and Career
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