skills. Overall, a well-executed senior project course notonly offers a significant learning experience but also an invaluable one.To ensure that senior project courses remain practical and enriching, faculty have incorporated varioustechniques and approaches over the years. Recognizing the importance of community engagement, manyinstitutions have integrated a service-learning component into their senior project courses [1, 2]. Thisapproach encourages students to consider the broader societal impact of their work. Beyond societalawareness, educators have also aimed to use the senior project as a platform to foster lifelong, self-directed learning skills [3-5].Over the years, educators incorporated activities to foster and encourage development
challenge traditionaluniversity experiences and feedback mechanisms, potentially depriving students of the practicalwisdom gained through these experiences [1]. These concerns reflect a general fear andconfusion surrounding the implications of ChatGPT in education, researchers have highlightedthe need to understand how students may use ChatGPT, as many will use it regardless of itsadoption by the instructor. To address the transformative effects of ChatGPT on the learningenvironment, it is crucial to educate both teachers and students about the capabilities andlimitations of the tool. Academic regulations and evaluation practices used in educationalinstitutions need to be updated to accommodate the use of ChatGPT and other AI tools.Educators should
ethicalissues, for fostering AI literacy based on the adaptation of classic literacies. We use similarcompetency targets in our study as well, focusing specifically on learning. Furthermore, Dai etal. [2] discusses student confidence in learning AI concepts and recognizing the relevance of AIknowledge in their lives, with results indicating that AI literacy was not predictive of AIreadiness, which in this paper we explore in terms of actual implementation at a practicallearning level of AI usage versus standard methods. Beyond this, Lim [9] underscores thebenefits of fostering a sense of ownership over student educational experiences, with autonomyplaying a crucial role for motivation and engagement.Chiu and Chai [3] discuss the importance of
her doctorate in Mechanical Engineering from North Carolina State University specializing in thermal sciences where her dissertation research spanned three colleges and focused on Engineering Education. Her passions include but are not limited to Engineering Education, Energy Engineering and Conservation, and K-20 STEM Outreach. Prior to matriculating at NCSU, she worked at the North Carolina Solar Center developing a passion for wind and solar energy research while learning renewable energy policy. She combined these passions with K-20 STEM Outreach while a National Science Foundation Fellow with the GK-12 Outreach Program at NCSU where she began Energy Clubs, an out-of-school-time program for third, fourth and
Development of Engineering Skills Using Online ToolsAbstractEngineering education extends beyond mere knowledge acquisition and encompasses thedevelopment of a comprehensive skill set valued in the industry. A novel approach to fosteringengineering skills using online tools is presented in this paper, addressing the limitations oftraditional teaching methods. The alignment between ABET student outcomes and industry-desired skills was analyzed, and the need for improved skill development methodologies inengineering curricula was identified. Five key elements of skill development are focused on:personal investment, practice, feedback, realistic expectations, and supportive environments. Aninnovative educational tool utilizing online platforms was
Education Department andthe Louis Stokes Alliance for Minority Participation (LSAMP) funded by the National ScienceFoundation. The goal of AC2 is to increase the number of underrepresented students pursuingcareers in science, technology, engineering, and mathematics (STEM). Through a variety of bestpractices, the program provides students with the necessary support to gain STEM experienceand complete degrees in STEM. The program serves approximately 125 students from freshmanyear through graduation and beyond. On average, students graduate within 4.5 years with aSTEM degree and roughly 60-65% of students graduate with at least one internship or researchexperience.Since 1998, the AC2 Program at SUNY New Paltz has hosted a five-week Summer
setting for teaching the undergraduate course,moving away from the traditional approach that primarily emphasizes the fundamental theory ofthe finite element method [8]. Baker from the University of Kentucky took a similar approach in hisfinite element course, offering a balanced curriculum that covered both static and dynamicstructural system analysis, including nonlinear systems. Students used commercial software likeANSYS and MATLAB and were required to write programs for analyzing small systems. Through thiscourse, students gained familiarity with numerical methods and appreciated how they could beapplied to more complex real-world systems [9].Project-based pedagogy seems to be the predominant teaching method for finite element analysisused
for thediscussions. Required standard academic qualifications to teach engineering courses will bebriefly stated through a review of current practices at colleges and universities in the US and insome other parts of the world in conjunction with personal observations and interviews madesporadically over the years by the author. As will be shown later, despite proven and numerousreal advantages of such a practice, legitimate concerns and possible fundamental flaws exist aswell.Connection between Mathematics and Science; and Engineering:Engineering is highly intertwined with science and mathematics. The connection betweenengineering with science and mathematics manifests itself in so many ways and at variousdomains [1]. It starts with K-12
achieved significant improvements in project quality,depth, and originality. However, the paper also highlights ethical concerns, particularly regardingplagiarism, algorithmic bias, and data privacy. Through a comprehensive analysis, the study un-derscores the transformative potential of Generative AI while advocating for ethical guidelines toensure responsible usage in engineering education. Future work will focus on developing robustplagiarism detection tools and refining the ethical frameworks for AI integration in educationalsettings.Keywords: Generative AI, Engineering Education, Project-based Learning, Ethical Considera-tions1. Introduction1.1 Transformative potential of Generative AI in various sectorsGenerative Artificial Intelligence (AI
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