Professional Formation of Engineers Program on NACE Career Competency through Ambition Levels and Completion RatesABSTRACTThe Professional Formation of Engineers (PFE) program at the University of South Florida(USF) comprises a series of three one-credit courses designed to develop essential competen-cies in engineering students. This course series emphasizes the application of ethical principlesand the impact of ethical engineering practices on both local and global communities, therebypreparing students for successful professional careers. The primary objective of the PFE pro-gram is to facilitate the optimal career development of USF Electrical Engineering (EE) stu-dents through engaging practical and professional
approaches to GenAI regu-hybrid AI approach that safeguards student data while enabling lation, from strict AI bans in assessments to AI-integratedAI-driven learning in compliance with privacy regulations. curricula with clear ethical guidelines. Table I summarizes different institutional policies regarding AI in education and II. BACKGROUND AND R ELATED W ORK privacy protection. Generative AI (GenAI) has demonstrated significant tabularxpromise in enhancing educational methodologies, improv-ing personalized learning, and automating administrative TABLE I
Orthopaedic and Trauma Hospital, she brings hands-on expertise in network setup, system troubleshooting, and ICT support. Mary is proficient in multiple programming languages and tools, including Java, C++, PHP, JavaScript, MySQL, Apache, and Microsoft SQL Server. Mary is pursuing a Bachelor of Science in Information Technology from the University of Eldoret and holds both a Diploma and Craft Certificate in ICT from RVTTI-Eldoret. Known for her strong work ethic, problem-solving abilities, and collaborative spirit, she is passionate about leveraging technology to drive positive change. Her interests extend beyond the workplace into volunteering, community engagement, and exploring tech innovations. She thrives in dynamic
finish a final capstone in forAY 2026-27. The results of initial interest, enrollment, and student surveys will be presented inthis paper to measure the potential to develop and expand this effort. Discussions on future workto generate a maritime-focused microcredential with courses such as “Literature of the Sea” and“Sea Shanties and Work Songs” will also be addressed.StructureThe microcredential sequence requires the completion of four Gen Ed electives followed by acapstone course. The Gen Ed courses are Environmental Literature, Sustainable Ethics byDesign, History of the US Environmental Movement, and Economics of Sustainability. Thecapstone course will be Capstone in Engineering Leadership.The Environmental Literature course will be
Engineering at Rose-Hulman Institute of Technology. She graduated with her BS in Environmental Engineering from Northwestern University and with her MS and PhD in Civil Engineering with an emphasis on Environmental River Mechanics from Colorado State University. Her graduate work focused on exchange of surface water and groundwater, as well as nitrate uptake, in streams with varying degrees of rehabilitation. Dr. Mueller’s areas of interest include water quality, sustainable design, watershed hydrology, and river hydraulics. Current projects involve pedagogical studies for incorporating sustainability and ethical decision making in undergraduate engineering education, with an emphasis on touchpoints throughout the four
Jr.’s Pro-Black engineeringeducation research framework [14],[15], and Gelles’s work on ethical mentoring [16]-[19]. Thispaper presents a novel process by which conflicts could be managed internally between engineeringlab as well as introduce new methods by which the research process can be both democratized andaffirming of the assets that underserved graduate students and their advisors bring [14].Background: Whether formally structured (i.e., advising) or informally structured (i.e., mentoring),national reports [20] point to the dire need for evidence-based practices and research in not justforming productive relationships but meaningful ones for a graduate students’ profession.Unresolved conflict resolution continues to be among
Certificate to MS for students interested in AI ● Coordinating mentoring and support activities to build engagement ● Study around professional identity development ● Thinking about partnerships with different stakeholdersAs those two pathways that were discussed in the previous slide originated from a 9-credit College Credit Certificate Artificial Intelligence Awareness shown here. TheCCC includes AI Thinking, AI & Ethics, and one elective (Applied AI in Business orIntroduction to Robotics).For the purposes of this study, the data that was collected for this study includes theAI Thinking, AI Business, and AI Ethics course. We plan on doing data collection ofthose who have taken the Introduction to Robotics as well that will be included
. Feedback was used torefine the user interface and improve the responsiveness of the speech-to-text engine, ensuring a seamless interaction between the child’sspeech and the application’s output. The application is ready to be testedin real- 3In world classrooms or therapy settings, approval for ethics is pending.With the speech-to-text technique incorporated into AR, possibilities tomake timely responses in a format that will be engaging and, at the same,engaging children more often and with more passion in speech therapysessions. This paper will seek to fill this gap by developing an ARapplication tailored to support speech therapy to build on the benefitsalready proven in
student learning outcomes and proficiencies, rather than specific coursecontent.To begin the curriculum redesign process, a retreat was held in December of 2019 to gather inputfrom faculty and staff of the department, with a focus on the question, “What do we want ourstudents to be able to do, know, and care about after successfully completing the ME program?”The output of this retreat was six guiding “areas” that would guide a department committee in(eventually) redesigning the curriculum: Problem Solving; Communication; Professional Identityand Ethics; Teamwork, Leadership, and Inclusivity; Information Literacy, Judgement, andCritical Thinking; Character Traits and Self-Directed Learning.As all readers will know, the Covid-19 pandemic caused
earned B.S. degrees in Civil Engineering and in Mathematics from Carnegie Mellon University (1993) and a Ph.D. in Theoretical and Applied Mechanics at Cornell University (1999). Prior to UPRM, Papadopoulos served on the faculty in the Department of Civil Engineering and Mechanics at the University of Wisconsin, Milwaukee. Papadopoulos has diverse interests in structural mechanics, sustainable construction materials (with emphasis in bamboo), engineering ethics, and engineering education. He is co-author of Lying by Approximation: The Truth about Finite Element Analysis, and after many years, he has finally (maybe) learned how to teach Statics, using an experiential and peer-based learning ”studio” model. As part of
online students interested in undergraduate research opportunities?and 2) has student interest in undergraduate research changed since the onset of the COVID-19pandemic? The purpose of this study was to compare pre- and post- student perspectives ratherthan to directly inquire about perceptions of how the pandemic impacted fully online students toavoid acquiescence (response) and recall bias. This paper provides a summary of theresults.MethodsThis study was conducted at a medium-sized private university with two residential campuses andone distance campus. Online student participants were recruited from an upper-divisionundergraduate ethics course, that is required in nearly all online degree programs, ensuring abroad representation. The survey
, including research ethics, replicates/reproducibility, control experiments,validaƟon, and lab safety.Weekly Professional Development: On Mondays, the REU parƟcipants parƟcipated in a JournalClub to develop their skills in reading scienƟfic literature using ‘Quality Talk’ as a structuredframework to promote criƟcal and reflecƟve thinking [6]. ParƟcipants also shared conceptsrelated to their individual projects in 20-minute presentaƟons at least twice during the program.ParƟcipants were introduced to advanced research and applicaƟons in the field of Smart CiƟesthrough the weekly Guest Lectures or Field Trips. These events provided students to networkingopportuniƟes with regional and academic and industry leaders. Field trips showcasedoperaƟonal
, emphasize the importance ofintegrating AI ethics into educational curricula. This study builds on these methodologies by implement-ing domain-specific sentiment analysis and introducing a real-time feedback system to support personalizedlearning experiences.Aligned with these advancements, a web-based NLP platform[5] was developed for undergraduates, en-abling them to apply linguistic theories through case-based activities. This platform provides visualizationtools for tasks such as coreference resolution and word embeddings, allowing students to better understandabstract NLP processes through hands-on data manipulation. These types of interactive platforms bridgethe gap between theoretical knowledge and practical application, creating a more
Phenomena, Mathematical Methods, Ethics, and Safety• These updated LOs were inputted into GroupWisdom .• Our subject matter experts (SMEs) read through the LOs and individually added LOs in the brainstorming phase.Body of Knowledge Process• Collected and refined learning objectives (LOs) for five graduate chemical engineering courses covering six topics: • Thermodynamics, Kinetics and Reactor Design, Transport Phenomena, Mathematical Methods, Ethics, and Safety• These updated LOs were inputted into GroupWisdom .• Our subject matter experts (SMEs) read through the LOs and individually added LOs in the brainstorming phase.Most added LOs were non-curricular skills or specialized topics.Body of Knowledge Process• The SMEs individually grouped
in classroom education, transportation, computer large number of research articles.programming, construction, space science, engineering, medicalindustry, and many other scientific and technological arenas. Concrete is one of the commonly used construction materialsNevertheless, AI is considered prohibited in many circumstances utilized worldwide because of the availability of its ingredientsdue to ethical concerns, trepidations of job displacement, and its and its relatively easier application. However, application ofportrayal in media. This combination of ethical, economic, and concrete in complex geometric structures, e.g., tunnels,cultural factors drives suspicion and agitation against AI
always the case, technology can be used positively or corresponding answer is shown in Fig. 2.negatively, ethically or unethically. The goal of thisprogramming course, as with every other course, is to educatethe students to fulfill the course’s outcomes successfully. Theysay, “If you can't beat them, join them.” This seems to be theideal case to apply this saying here. II. USE OF AI IN THE COURSE Fig. 1. Interaction of use AI.A. The Proposal We shall avoid proposing to exclude AI from the course ormuch more from the curriculum. This would be something outof anybody's control, much more of the instructor. On thecontrary, we propose an approach to incorporate AI in thecourse in a beneficial way
of AI among university students on learning outcomes and processes 2. Evaluate how AI-driven teaching tools can be purposed for personalized and inclusive educationFigure 2: Example fill-in-the-blank quiz created by ChatGPT to help students practice their under-standing of thermodynamic concepts. Created in ChatGPT-4 using the following prompt: Generate20 fill in the blank questions to help me study for a thermodynamics quiz covering basic thermo-dynamics vocabulary and units. 3. Explore the ethical dimensions and practical challenges of AI use 4. Understand how the integration of AI into classroom settings alters student-teacher and student-student dynamics 5. Explore and compare the perceptions of instructors and
between the communitycollege, university and industry partners, a non-profit organization, and social scientistsattempts to more fully understand how to implement, assess, and expand computing pathwaysfor a diverse group of students, especially in the CC context.One of the primary objectives for the project was to develop and implement an interdisciplinaryAI certificate, which was completed at the HSCC. As the program matured, two college creditcertificates were developed. The first certificate is the AI Awareness Certificate, where studentshad to take both the AI Thinking and AI Ethics course, and choose either an AI Business classor AI Robotics course. The Artificial Intelligence Practitioner certificate shares the AI thinkingand ethics courses
Deliberating Public Welfare in Engineering – The Capability ApproachAbstractThis paper addresses the theme of “the Moral and Ethical Responsibility of Engineers andEngineering”, particularly responding to the question of how to define or deliberate the meaningof ‘public welfare’ and ‘common good’ in engineering degree programs. Drawing from decadesof international work on human development, particularly in the global south, this paper reportson adapting the capability approach to an engineering degree program. Developed by AmartyaSen, the capability approach sought to replace GDP-based models of welfare economics byframing the goal of development as enabling individuals to live a life they value. The things aperson values, what they are and can do
approachesused in smaller programs. Finally, only syllabi from common first year engineering courses wereused; we did not include any major-specific introductory engineering courses.FindingsLearning Outcomes as Habits and MindsetsMost introductory engineering course syllabi emphasized teamwork, communication, problemsolving, design, engineering tech/tools, and ethics (Table 2). Teamwork and communicationstood out as nearly universal to introductory engineering curricula, followed by engineeringdesign & process as an approach to problem solving indicating that these skills are highly valuedacross introductory engineering courses (Table 2). The consistent inclusion of engineering-specific tools and technology indicated an early commitment to building
curriculum at Nazarbayev University, Kazakhstan, through thelens of the Sheffield Graduate Attributes framework—a global model assessing innovationcompetencies across technical, social, and cultural dimensions. Technical attributes focus onapplying theoretical knowledge, social attributes on teamwork and communication, and culturalattributes on ethical responsibility and global problem-solving.Analysis of nine core courses reveals a pronounced emphasis on technical skills, with 78% oflearning outcomes tied to computational tools and structured problem-solving. Courses like“Mechanical Design with CAD” and “Multiphase Systems” exemplify this trend, equippingstudents to execute predefined solutions but offering few opportunities for open-ended, real
indicates a significant difference across most questions between the expecteddistribution of responses and the observed responses. Only ABET SO 1 and one part of ABETSO 6 (related to conducting lab experiments) showed no significant difference.These results contrast with previous studies [2] [4] [6] that typically found a positive correlationbetween student performance and surveys used to gauge self-efficacy. This discrepancy may bedue to the inclusion of a broader range of ABET outcomes in our study, including aspects oftenoverlooked, such as ethics, professionalism, and teamwork skills.Table 3: Chi-Square Test Results ABET Student Outcome (and summary of the outcome) h-value p-value 1 – Ability to solve complex
practices. The results suggest a need for University [7]. A study on the impacts of AI tools on,better awareness and guidance on effectively utilizing AI tools in specifically, mechanical engineering curriculum underscorestechnical education. This study may guide educators in the importance of acknowledging the growing impact ofpromoting the adoption of AI tools in engineering education advanced GenAI tools in education and professional settings.while encouraging critical thinking, ethical use, and a balance The study concluded that rather than dismissing them outright,between AI reliance and traditional learning approaches. institutions, educators, and organizations should adopt a
STEM and STEM Education.” [Online]. Available: https://www.nsf.gov/pubs/2023/nsf23593/nsf23593.htm[6] ASCE, “Code of Ethics,” Code of Ethics. Accessed: May 23, 2023. [Online]. Available: https://www.asce.org/career-growth/ethics/code-of-ethics[7] ASEE, “Persons with Disabilities Leadership Roundtable,” presented at the American Society for Engineering Education Annual Conference, Salt Lake City, UT, 2018.[8] E. A. Cech, “Engineering ableism: The exclusion and devaluation of engineering students and professionals with physical disabilities and chronic and mental illness,” J. Eng. Educ., vol. 112, no. 2, pp. 462–487, Apr. 2023, doi: 10.1002/jee.20522.[9] M. Svyantek, “Missing from the classroom: current
towards disability in general public and patientpopulations [10]. Development of fair AI/ML-enabled medical devices and performing bias-freeresearch of ML is significantly challenging the applicability of AI/ML in BME. [11] The U.S.Food and Drug Administration (FDA) recognized the necessity of addressing bias in clinicalmachine learning systems, first in the proposed regulatory framework published in April 2019[12] and later as a guiding principle in October 2021 [13].However, ML courses in BME programs around the U.S. are still rare, and teaching of bias inML systems remains largely scattered in computer science and ethics departments, which oftenfocus on privacy [14]. At the BME department of UC Davis, we recognize the importance ofarming our
covers linear regression, neural networks, sparsity, and dictionary learning. The goal of this part is for students to see a vari- ety of ML methods that they can understand most of, but they do not code these applications from scratch. Instead, students use Python libraries. 3. Part 3 (3 weeks) What other cool ML things are out there? This part briefly introduces advanced ML algorithms and the ethics of ML.The following subsections describe the learning activities in each course part and Fig. 1 summa-rizes the schedule for the Fall 2024 semester. Key activities are highlighted in blue text in both thefollowing text and in Fig. 1.3.1 Part 1Given the desire to present ML algorithms from first principles and the lack of
Kanika Sood, California State University, Fullerton Daisy Tang, California State Polytechnic University, PomonaThis work-in-progress study describes our grant-funded efforts in developing a computer sciencefaculty learning community (FLC) across six California state institutions. With an emphasis onsocially responsible computing (SRC), the faculty development effort that prepares faculty forSRC lesson implementation has integrated social scientists with computer science faculty in therotating leadership team. It works collaboratively to facilitate dialog around experiences ofimplementing lessons that focus on social justice and ethical decision-making. Our data-drivenFLC and course transformation effort was initiated by
-word challenges with equity and justice. In recent years, there has been considerableimprovement in providing students in higher education with professional skills needed to beemployable and successful in their respective profession. Such skills include communication,ethics, collaboration, leadership, and global awareness (including the social and environmentalimpacts of engineering). Yet, much of the engineering education employed in the K-12 settingfocuses on the technical outcomes and skills. This study explores the use of an environmentaljustice-focused curriculum, namely StoryMaps that facilitate a deeper exploration of the complexinterconnections of air quality, transportation, and engineering, as a part of a larger CreativeEngineering
increasinglyinterested in addressing global challenges. In biomedical engineering particularly, students oftenenter the discipline because they are interested in problem-solving at the intersection ofengineering and public health. Global health problems present some of the most pressing andcomplex issues of our time, requiring innovative and sustainable solutions that account for diversecultural, social, and environmental contexts. Despite this enthusiasm, many engineering studentslack a structured introduction to the ethical and practical challenges inherent in global health designprojects. To create meaningful and sustainable change, engineers must approach these challengesusing frameworks that emphasize ethical responsibility, cultural humility, and long
Inclusive Course Titles Intro to Environmental Engineering Data Science for Env Engineers Prompt Engineering and Human-AI Collaboration AI Ethics & Environmental Policy Capstone Design Project Data Science for Env Engineers Data Literacy and Computational Thinking Intro to Programming