keycriteria being the preparation of students to become lifelong learners. With this in mind, climatechange considerations can be integrated into the existing undergraduate curriculum in civilengineering such that the students that graduate are aware of the impacts that uncertainty inclimate change will be having on critical infrastructure systems. At The Graduate level, studentsare trying to advance their careers through gains and experience in particular disciplines. It is atthe graduate level that new courses added to the curriculum can better prepare students to able toanalyze and advocate for solutions that combat uncertainty associated with climate change andits impacts effectively. For graduate students to be fully prepared to address climate
students in theresponsible and acceptable use of AI platforms, providing them with opportunities and guidanceto explore and leverage this new technology. The potential of ChatGPT in the classroom has beenanalyzed in various studies [3-5], highlighting its applications as a writing assistant, study tool,and personal tutor [6]. However, there are also concerns that the overreliance on ChatGPT mayadversely affect students' critical thinking and problem-solving skills [7]. As AI becomes moreprevalent in higher education, it is essential for educators, curriculum designers, andpolicymakers to understand the implications of integrating these tools into the educationalcontext.According to research [7], ChatGPT has the ability to respond immediately to
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
underrepresented groups in the technology industry. The New YorkJobs CEO Council aims to support faculty in local community colleges to expand and strengthenapprenticeship programs in the New York City area [3]. These programs can help reduce the skillgap, particularly for underrepresented students. The author has received funding from the PerkinsGrant department to support its apprenticeship program, which helps students gain professionalexperience and refine their program applications.The apprenticeship program emphasizes situated learning in professional communities ofpractice to maintain alignment between education and industry. It has been integrated withtraditional college coursework, leading to an exploration of teaching methods that better
/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
and management, legal aspects, construction contract administration, public works, and Renewable Energy. ©American Society for Engineering Education, 2024 Writing skills can be improved using AI tools: An Analysis AbstractAt the college level, there are courses that teach 'Technical Writing' to engineering students atthe undergraduate level. Typically, the writing component in the curriculum presents asignificant challenge for undergraduate students as they work toward graduation. However, withthe introduction of Artificial Intelligence tools for writing, students find it somewhat easier toproduce written content for their courses.Artificial
post-professional degree in Architecture Urban Regional Design from the New York Institute of Technology. Subsequently, Professor LoPiccolo earned a Postgraduate Diploma in Building Construction Management from New York University and a Passive House Designer Certification from the Passivhaus Institut, Germany. She has private-sector architecture and construction project management experience in Dublin, Ireland, and New York. Professor LoPiccolo has over ten years of public sector experience as an architect and a Community Development Project Supervisor with the Town of Islip. In addition, Professor LoPiccolo was an adjunct assistant professor in the School of Architecture and Design at NYIT for five years, teaching
design/development stage to completion of analysis and prototype developmentand testing stage. This paper will highlight the applied learning activities and components incorporatedin the senior project course along with course timelines, assessment process and student deliverables.IntroductionIn engineering and engineering technology programs, senior project (capstone project) is an integralcomponent of the learning process. Senior project courses offer students an opportunity to integrate theskills, knowledge, and know-how they acquired throughout their undergraduate education to complete aproject. In addition, the open-ended nature of senior project course provides an ideal setting for studentsto practice critical thinking and problem-solving
interaction, and post-assessments, this research intends to providevaluable data that can inform educational practices. This study aims to identify key challenges,such as potential cheating and diminished learning outcomes, while also exploring how AI canbe ethically integrated into computer science education. The proposed findings will guide theredesign of assessments to mitigate risks while harnessing AI's benefits, ultimately providingeducators with a framework to improve student assessment in an AI-enhanced academicenvironment.KeywordsArtificial Intelligence, AI-Assisted Learning, ChatGPT, Computational Thinking, ComputerScience Education, Learning Outcomes, Academic Integrity, Critical Thinking, AssessmentDesign, Introductory Programming
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
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
integrated in this regard and the STEM acronym was elevated to STEAM [14]. However,STEAM did not gain as much steam as STEM yet, and it is not as popular either.Qualifications Required for the Position of Instructor for Engineering Courses:A scan of more than one hundred online announcements for engineering faculty positions atvarious institutes of higher education in the US and a few parts of the world was executed. Itrevealed expected similarities as well as differences in listing the qualifications needed tobecome an instructor for engineering courses. Showing full details on this scan here is ratherlong and tedious, and therefore it is not necessary especially many of the details are repetitive.In lieu of that, a relatively shorter tabulated
) idea is used in mathematics education as a part of theundergraduate curriculum in [19] for the first time during a study on students’ conceptual view ofthe function concept. APO is extended to Action, Process, Object and Schema theory (called APOStheory) in [21] to understand students' function knowledge. APOS theory is explained as thecombined knowledge of a student in a specific subject based on Piaget`s philosophy. APOS theorywas designed in [22] as follows: An action is a transformation of objects perceived by the individual as essentially external and as requiring, either explicitly or from memory, step-by-step instructions on how to perform the operation... When an action is repeated and the individual reflects
modeling and toolpath programming. It not only covers essential softwarecommands but also integrates best practices in machining into CNC programing, providingstudents with a comprehensive understanding of the CNC field. The course is designed to includehands-on experience, ensuring that students gain practical skills.The paper discusses how the course materials bridge the gap between academic learning and theskills required by the industry, aligning the curriculum with typical industry settings. Variousassessment methods, such as self-assessments and project-based evaluations, are outlined forevaluating student learning. Due to limited class time, executing each student's CNC program ona CNC machine may not be feasible; therefore, the paper also
Paper ID #45304Syllabus Review Assessment: Technical Contract ReviewDr. Tracey Carbonetto, Pennsylvania State University, Allentown Professional skills continue to be found lacking in early career engineers despite efforts to improve suggested and implemented by faculty, administration, and ABET. Utilizing the early career engineering population as a source of information and specifically, feedback on the ability to meet the professional skills expectations, engineering faculty can include suggested recommendations for improve professional skills development within the undergraduate engineering curriculum
-ating novel design concepts, proposing innovative solutions, and inspiring new avenues for re-search. Through the integration of Generative AI technologies into engineering curricula, educa-tors can effectively prepare students for the challenges and opportunities of the digital age, em-powering them to succeed in their academic pursuits and beyond 42. Fall 2024 ASEE Middle Atlantic Section Conference, Farmingdale, New York, USA, October 25-26 Zhang, Z., Chang, Y.4. Implementation and outcomes4.1 Implementation of Generative AI in classesIn the curriculum of four courses—Circuit Analysis and Dynamics for lower-level engineeringstudents, and Electrical Power and Machinery and
.” Journal of Physics. Conference Series, vol. 1567, no. 3, 2020, pp. 32084-, https://doi.org/10.1088/1742-6596/1567/3/032084.14. Kohen, Zehavit, and Doron Orenstein. “Mathematical Modeling of Tech-Related Real- World Problems for Secondary School-Level Mathematics.” Educational Studies in Mathematics, vol. 107, no. 1, 2021, pp. 71–91, https://doi.org/10.1007/s10649-020- 10020-1.15. Dolapcioglu, Sevda, and Ahmet Doğanay. “Development of Critical Thinking in Mathematics Classes via Authentic Learning: An Action Research.” International Journal of Mathematical Education in Science and Technology, vol. 53, no. 6, 2022, pp. 1363–86, https://doi.org/10.1080/0020739X.2020.1819573.16. McLure, Felicity I., et al. “What Do Integrated
minimize unexpected failure, whichinvolves activities from developing experiments within resource constraints, acquiringmeasurement data, and conducting statistical analysis. Through assessing potential failure modesand iterations in specimen-test designs, the research projects provided an effective platform toallow hands-on learning experience where students used various course knowledge in mechanics,probability/statistics, and finite element modeling to achieve the objective. In this paper, wepresent how the mechanical integrity of 3D-printed structures depends on the printing orientationand its implications in predicting failure probability under mass production. Also, considerationsand implementation of the intensive and immersive summer
generation as optional electives. However, when thisoption is unavailable due to departmental resource constraints, raising awareness andencouraging students to engage with this global issue in their own way becomes a valuablealternative. Students are generally receptive to reading topical materials related to their coursesand thinking critically about the broader impacts of technology on the environment andsustainability, especially when such problems or projects are integrated into the course for even asmall percentage of the overall grade. This approach has been implemented in an electric circuitscourse, where project-based assignment is designed to encourage students to advocate for cleanenergy production or safe environmental practices
computer simulation ofphysical problems demanded by industry. In terms of delivery, instructors often blend traditionallectures with practical exercises using tools like ANSYS or MATLAB to ensure that students gainboth theoretical knowledge and practical experience [4]. Many programs also integrate project-based learning to help students better understand how FEM is applied in real-world engineeringscenarios [5]. Lately, full online asynchronous courses on the introduction of FEA have beenemerging in various education platforms such as Coursera, LinkedIn Learning, and EdX.Balancing the range of topics in a finite element analysis course requires thoughtful planning,especially with limited credits in the curriculum. The emphasis on practical
learningincreased students' motivation and engagement in the learning process. The study found thatstudents who participated in collaborative learning were more likely to enjoy the learningexperience and feel a sense of ownership over their own learning.Improved Skill DevelopmentMany studies have shown that 10,000 h of practice are needed to fully master a skill [14], [21].Thus, implementing practice in the curriculum is necessary to move students from discoveringnew skills to mastering them. Allowing students to practice their skills in an environment withimmediate feedback greatly aids their skill development and puts them on the pathway tobecoming professional engineers.Improved Student OutcomesThe aforementioned tool has been implemented in three
). 1 Fall 2024 ASEE Middle Atlantic Section ConferenceDespite these technological breakthroughs, many undergraduate thermal system design courses still focusprimarily on basic heat transfer and classical benchmark problems. This mismatch between what is taught,and the emerging technologies, highlights the need for curriculum updates. In addition, students often lackhands-on design experience and accessibility to commercial-grade thermal design software tools that enablethem to tackle complex, real-world problems. These skills are vital as students transition into theirprofessional careers.This paper proposes an improvement to an existing thermal system design course taught in the departmentof mechanical engineering
progress the solution step-by-stepby using the building blocks of derivative of a composition function. These results indicated a need for a betterconcept image and concept definition coverage of the composition functions’ differentiability in calculuseducation for improving their conceptual understanding of STEM majors.Key words: STEM education, Derivatives of functions, APOS theory, Composition function, Concept imageand concept definition.1. IntroductionThe derivative of mathematical functions is one of the central concepts in STEM applications, thereforeinvestigating engineering students’ ways to understand the derivative concept and ability to respond derivativerelated questions is an interest of STEM educators and pedagogical researchers
academic excellence and contributions to research have been recognized through several prestigious awards. In 2022, she was honored with both the CoST Graduate Rising Scholar Award and the NC A&T Graduate Rising Scholar Award. These accolades highlight her outstanding scholarly achievements and her commitment to advancing knowledge in her field. In 2024, Mercy’s dedication to education and her exemplary performance as an instructor were acknowledged when she received the Senior Graduate Teaching Assistant Award. This award underscores her effectiveness as an educator and her ability to inspire and mentor students. In addition to her academic and teaching roles, Mercy has significantly contributed to the broader