professional paidinternship initiative for construction faculty in 2013 called the Robert L. Bowen IndustryResidency Initiative [4], and this was the opportunity that was taken advantage of by the author.Faculty Internship Experiences in ConstructionFaculty internships in construction are not new. Hynds [6] presents insight into the reasoning foran internship and the various considerations when seeking and engaging in a professional facultyinternship in construction. Lin, Kim, and Dossick [8] highlight the impact on junior faculty whoparticipated in a faculty internship. They found an effect on junior faculty scholarship and thatthe internship experience can also enhance the quality of their academic scholarship.Shaurette [9] discusses the purposeful
resilience and psychological growth. While some students report challenges such asculture shock and strained social networks upon returning home, others experience increasedconfidence, social support, and mental well-being during these programs. Research indicates thatvolunteering and community engagement are associated with reduced depression rates andincreased resilience, underscoring the therapeutic potential of such experiences [6], [9], [10]Faculty-led, short-term study abroad programs represent a growing avenue for integratingservice-learning into higher education. These programs expose students to new cultures andenvironments while providing structured opportunities to engage in meaningful communityservice. The Psychological General Well
] suggestspotential biases and ethical issues, indicating that future research should address these concernsand develop user-friendly AI tools for education.From the learner’s perspective, Sokhibov et al. (2024) [5] suggested that AI can improve teachingeffectiveness, learning outcomes, and accessibility, but also raise concerns about data privacy,algorithmic bias, and the changing role of educators [5]. Their study [5] examines thetransformative potential, challenges, and ethical implications of integrating AI into highereducation, aiming to enhance teaching efficacy, personalized learning, and inclusivity. Researchers[5] suggested that future research should develop ethical frameworks and regulatory mechanismsto ensure transparency, accountability, and
outlines the proposedframework, a future "Phase-2" study will report on the program’s implementation and outcomes.By integrating mentorship, hands-on learning, and industry engagement, this initiative aims toset a new standard for student development and retention.IntroductionRetention of engineering students is a crucial concern for higher education institutions. Manystudents, particularly in rigorous fields like computer engineering, face challenges such asacademic pressures, lack of belonging, and unclear professional pathways [1], [2]. At theauthor’s university, the CPE department seeks innovative approaches to address these issues,aiming to improve retention and graduation rates [3], [4].This paper introduces a comprehensive onboarding
Mollick,José Antonio Bowen, and C. Edward Watson have published extensively on establishing ageneral understanding of AI tools, including preliminary guides for exercises that can betranslated into classroom practices. While these works are informative and timely, they also relyon the assumption that AI adoption is inevitable, meaning that faculty do not have a role inshaping how students use these technologies. This paper aims to create a new narrative aboutinevitability to empower faculty to become informed advocates for ethical AI practices,ultimately co-creating a classroom environment that balances innovation with integrity. Byrethinking the role of AI in higher education, faculty and students alike can practice a reflectiveand responsible
complete a review by the Institutional ReviewBoard, to ensure that student privacy concerns and other ethical issues are addressed beforesurveys are distributed. The statistical analysis methods of means, materiality, and Cronbach’salpha will be used to assess the value of the survey. One of the challenges faced by the authors isfinding sufficient data to perform a statistical analysis. It may, in fact, take multiple academicyears to have statistically significant data. The survey itself will allow the authors to examine theimpact of the flipped classroom and the utilization of multiple faculty members in such a class.ConclusionsIn this Work-In-Progress paper, the authors have outlined the current research into the flippedclassroom, discussed the
promoting sustained economic growth, all of which address emerging societal needs of the21st century. However, concerns have been raised about the current education system's ability toproduce engineers equipped to meet the rapidly growing demands of a global, dynamicworkplace and the evolving nature of engineering work [1]. While educational technologies(EdTech) are powerful tools for transforming learning and improving educational outcomes, theplentitude of EdTech poses challenges for effective adoption in engineering classroom settings.In addition, rapid advancements in artificial intelligence (AI) and natural language processing(NLP) are accelerating the development of new EdTech tools, increasing the burden on educatorsfor evaluating and
– SAT vs Math PlacementConclusionsThe results of the objective consideration of the data for the cadets associated with the CEEdepartment over the past 15 years (up to the graduating class of 2024) are surprising to many ofthe faculty in the CEE department. Anecdotally, the faculty members have been experiencingbimodal performance in many courses since the pandemic and have blamed decreasing mathskills for the loss of the “C” students. The data does not support this.The use of a minimum score of 21 to determine whether a cadet should be allowed to takeCalcululs I was partly supported by the data. The CEE department will consider the followingconclusions as it continues to investigate the issues: 1. The number of cadets that score below a 21
Institute (VMI) since thelate 1970s to highlight how Capstone has changed to meet new accreditation standards and to ad-dress new faculty hires. In addition to the historical information, current Capstone instructors andalumni were surveyed, and their experience is summarized herein. To round out the paper, Cap-stone experiences at ABET-accredited civil engineering (CE) programs in Virginia are also com-pared to address the current state of Capstones in the region.The 2024-2025 ABET [1] Criterion 5: Curriculum requires “a culminating major engineering de-sign experience.” This culminating experience is often achieved through a Capstone course; al-ternatively, it may be embedded within a required course. The Capstone experience may be anopportunity
assignments, that arenot mentioned through Wiley plus which is difficult when you have large sections to be able toactually do that.” She then expressed her concerns, stating that, “But the main issue or concernwith taking the service courses online is the ability to cheat… it's difficult to implement thoserules without some sort of proctor…” This highlighted the challenges of enforcing academicintegrity in a virtual environment, where traditional monitoring methods are inherently limited.Her attention to detail was further emphasized when she remarked, “I knew that they worktogether ahead of time because I knew they sat near each other for previous tests when you'reactually in person...” This demonstrated ID7’s proactive approach to deterring
’ fast adoption of innovative and available new technologies. Agrowing concern for engineering instructors and among college writing instructors is that ofArtificial Intelligence (AI) being widely available to students. Although these technologies arenot a main topic of the work presented here, they can potentially impact the teaching of technicalwriting and the assessment of student outcomes, as well as engineering teaching in general. AI asa tool for text development and even to produce numerical solutions to textbook-type problems isknown and is getting more powerful. But it is not clear how capable AI is of correctly handlinggraphical information and integrating it with text. Therefore, its use by students to generatetechnical reports could
Education, 2025Performance Unveiled: Comparing Lightweight Devices Testbed and Virtual Machines for Edge ComputingAbstractTechnological innovations are accelerating across fields like engineering, IT, environmentalscience, and agriculture, the convergence of education & research has emerged as a vital andconcerning issue. Although the research in areas such as edge computing holds a lot of potentialfor real-world applications, its integration into engineering education remains marginalized dueto lack of curriculum alignment, lack of resources for faculty training, and industry-academiadisconnect. This study bridges the gap by investigating the suitability of hands-onexperimentation with edge computing frameworks to enhance
-term retention. By engaging students in this learning cycle, we maximize their involvement, encourage peer interaction, and enable new learning and thinking to occur.3.2 Case Study: Using the LinkedSet Project to Teach Java Concepts3.2.1 PurposeThe LinkedSet project is a practical exercise designed to teach key programming concepts byhaving students implement a custom set collection. This project emphasizes the application offoundational Java topics, such as interfaces, generics, iterators, and data structures, in a real-worldcoding scenario. By bridging theoretical knowledge with hands-on implementation, the projectreduces the intimidation of abstract concepts and fosters deeper engagement.3.2.2 Teaching
research interests focus on soft robotics and smart materials.Dr. Arash Afshar, Mercer University Dr. Arash Afshar is an associate professor at the School of Engineering at Mercer University. He holds an M.S. in Systems and Design and a Ph.D. in Solid Mechanics from the State University of New York at Stony Brook, as well as a B.S. and M.S. in Solid Mechanics from Amirkabir University of Technology in Tehran, Iran. His teaching and research interests encompass solid mechanics, with a focus on composite materials, finite element analysis, mechanical design, and machine learning. Before joining Mercer, Dr. Afshar taught at Saginaw Valley State University and worked as a design engineer in the oil and gas and injection
Paper ID #45500Fast-Track to Research Writing Mastery: A 9-Week Intensive Course forGraduate StudentsDr. Shenghua Wu, University of South Alabama Dr. Shenghua Wu is an Associate Professor in the Department of Civil, Coastal, and Environmental Engineering at the University of South Alabama. His research areas include civil engineering materials characterization, pavement performance evaluation and modeling, design, and maintenance, multidisciplinary approach to address complex engineering issues, as well as STEM education. He holds multiple leadership roles, including the Director for Interdisciplinary Center for Sustainable