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
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
, Computer Science Education, Machine Learning, PersonalizedLearning, Ethical AI, Research, Graduate Programs, Undergraduate Programs.INTRODUCTIONThe technological innovations of the 21st century have fundamentally transformed how the worldoperates [1], creating entirely new areas of expertise and workforce demands [2,3,4,5]. Theinterdisciplinary interest from scholars in linguistics, psychology, education, and neuroscience aswell as other disciplines, who examine AI through the lens of their respective fields, such as itsnomenclature, perceptions, and knowledge poses challenges in defining AI [6]. This hasnecessitated the development of AI categories within specific disciplinary contexts.There is a pressing need for widespread education across all
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
while fostering a deeperunderstanding of its benefits and limitations. As AI technology continues to evolve, it isincreasingly apparent that we need to develop and share more promising practices that enablefaculty and students to navigate various applications effectively. In each activity presented,students integrate technical skills with social and ethical thinking as they explore and evaluatehow GenAI can enhance or hinder their engineering design process. These topics are woven intotwo team-based design challenges to make this meaningful and applicable to students.ImplementationDuring the fall semester, Engineering Foundations I is offered across 20 sections, each averaging37 students, and is taught by seven faculty members. For both
methods. Theframework used here may serve as a framework for other institutions examining incorporating orimplementing leadership in programs.Overall, USAFA works to instill outcomes for graduates to work towards including: (1) Critical Thinking (2) Application of Engineering Problem-Solving Methods (3) Scientific Reasoning and Principles of Science (4) The Human Condition, Cultures, and Societies (5) Leadership, Teamwork, and Organizational Management (6) Clear Communication (7) Ethics and Respect for Human Dignity (8) National Security of the American Republic (9) Warrior Ethos as Airmen and GuardiansThe fifth institutional outcome describes the leadership outcome, for students to exhibitleadership, teamwork
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
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
curriculum was modified to address issues inengineering design, technical communication, problem-solving, engineering ethics, safety,teamwork, sociotechnical engineering problems, and innovation in addition to the topicspreviously covered. These topics were introduced using lectures, in-class activities, and asemester-long design project. Our goal was to provide students with a memorable and fun courseto boost enthusiasm around engineering at the beginning of their academic endeavors. Studentswere split into teams of six based on their declared engineering majors to build community andinclusion from the beginning of their undergraduate studies. For undeclared students, they werescattered throughout unfilled groups or placed in groups with other
. Semester Course Enrollment Fall 2023 ME Program Seminar 116 Spring 2024 Dynamics 55 Fall 2024 ME Program Seminar 117Codebook: The revised codebook based on the open-ended question responses collected in Fall2023 consists of 10 distinct codes that describe students’ perceptions of engineering practice: 1. Considers ethics 2. Considers safety 3. Considers efficiency 4. Considers complexity 5. Utilizes knowledge 6. Collaborates with others 7. Improves or makes new designs 8
Paper ID #47582Project-Based Learning (PBL) for Developing Critical Thinking Skills in EngineeringStudentsDr. Brainerd Prince, Plaksha University Brainerd Prince is the Associate Professor of Practice and the Director of the Center for Thinking, Language and Communication at Plaksha University. He teaches courses such as Reimagining Technology and Society, Ethics of Technological Innovation, and Art of Thinking for undergraduate engineering students and Research Design for PhD scholars. He completed his PhD on Sri Aurobindo’s Integral Philosophy from OCMS, Oxford – Middlesex University, London. He was formerly a Research
may be disregarded or simply ignored [3]. This isironic, given that at least one widely-accepted engineering code of ethics emphasizes its focus onpublic welfare [7]. It is also recognized that the fulfillment of beneficial public welfare goesbeyond the mechanics of problem solving because modern engineering problems are ill-defined,multifaceted and include factors beyond the scope of technology [3], [4], [6]. The optimalsolution for the public welfare may also lie beyond the requirements of a particular client orhighly influential governmental or economic body and/or at the expense of other stakeholders[3].A number of methods exist to characterize engineering identity, often through surveys orinterviews [2], [3], [4], [6], [8]. These methods
, their major,figuring out their path to graduation, and emphasizing the importance of ethics and justice,diversity, equity, and inclusion in engineering.Academic Advising General academic advising on courses with a primary focus on the importance of each student planning out their flowcharts for their individual path to graduation given the uniqueness of incoming transfer credit for each student; a discussion on concentrations in the major; senior projects; and how to get involved in researchPeer Review Flowcharts and Career Panel After students completed their flowcharts, they were prepared for more in depth discussion on flowcharts that FTFY students typically learn via word of mouth, including: which classes to avoid
formed with the most common responses being early 62-64, middle 65-67, or late 68-70). They were then asked to refine their arguments, and the projectculminated with an in-class debate.The authors found that this problem-based learning exercise was very beneficial in motivatingthe students to better learn and apply the course material. And, as a bonus, the instructors had amuch better idea as to when to start their social security benefits!IntroductionMost engineering programs require that students take a course in engineering economics as wellas ethics. Previous authors [1-3] have introduced the idea of using Social Security as a case studyto teach economics in graduate programs. Their work, as they hoped, has sparked us to alsopursue a Social
interactions and fostering a supportive learning community.Combining AI tools with well-designed asynchronous curricula offers a pathway to create moreengaging, personalized, and equitable online learning experiences. Further research is needed toevaluate the effectiveness of specific AI tools, develop the best practices for their ethical use, andexplore how AI can support both learner autonomy and instructor facilitation in asynchronoussettings. 5. ConclusionThis paper has examined the opportunities and challenges inherent in delivering fullyasynchronous online courses and degree programs in engineering and science fields. Drawing oncase studies from core undergraduate courses and graduate programs at the University of ColoradoBoulder, we
in studentengagement and learning outcomes. This paper outlines these findings, discusses implications forfuture practice, and highlights strategies for scaling AI integration across institutions to promoteequitable learning environments.This transformation not only benefits students by providing tailored educational experiences butalso empowers educators to focus on fostering critical thinking and creativity. As AI continues toevolve, its role as a catalyst in higher education will undoubtedly grow, offering unprecedentedopportunities for the advancement of teaching strategies and academic achievement. Despite thenumerous benefits, challenges such as data privacy, ethical considerations, and the digital dividemust be addressed to ensure
projects from companies, public institutions,and non-profit organizations. The course is designed to leverage all available information toapply financial methodologies and assess a project under strategic considerations, includingthe Net Present Value technique. Additionally, it seeks to strengthen professional skills, suchas effective communication, teamwork, and ethical commitment in professional practice.The course’s methodological framework is primarily team-based. Students are organized intogroups of approximately six members to carry out the project evaluation. The teaching staffcomprises three types of instructors: the Guiding Professor, the Supervising Professor, and theSection Professor. Each team is assigned a Guiding Professor
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
Capstone CourseKeywords: Capstone Projects, Electrical Engineering Education, Generative AI in Education,ChatGPT, Entrepreneurship in Engineering, Marketing and Design Requirements, ABET.1. IntroductionIn recent years, many engineering programs have integrated entrepreneurship education into thecapstone experience, blending technical engineering skills with entrepreneurial processes,namely ideation, customer discovery, client validation, and commercial viability [3] Theseprocesses enable students to translate their technical knowledge into economically relevantengineering practice. The objective is to produce graduates who are not only technicallyproficient but also capable of navigating the business landscape, ethically aware, and responsiveto
characters long, as well as names thatcould not be used in advertising because of alternate meanings in other languages.5. Ethics. Most people trust their fellow business founders to be acting as responsible professionals andnever contemplate one of them hacking the company employee’s emails, stealing intellectual property,or suffering from a disease that can compromise their ability to act rationally and ethically. Whenrequesting to have your operating agreement created by your attorney think about having them add asection where you adopt a simple ethical code. The National Society of Professional Engineer’sFundamental Canons [18] only requires a few adjustments to fit a corporate setting and is familiar tomost engineers. It is also recommended to
interest topics (e.g., grand challenges), professional skills (e.g., teamwork, leadership),academic advising, mathematics skills, introduction to the engineering profession (e.g.,professional societies, types of engineering, ethics), and engineering specific technology/tools(e.g., MATLAB, CAD) [2]. Additionally, interactions between first-year students and bothfaculty and upper division peers have been found to positively impact retention of students inengineering programs. The goals of a typical FYE 1.0 program are to [2]: • Provide students the opportunity to interact with engineering faculty and upper-division engineering students to improve their sense of belonging in the engineering discipline. • Help students develop the skills
, too. They ask for more flexibility. They struggle topay attention in class. And they display reduced professional behaviors. For instance, they wearearbuds during class, they show up late to class, they are on their devices more during class, theydo not work to establish meaningful relationships with the instructional team, or they miss classor assignments without communicating with the instructor. Problem-solving these commonchallenges is pertinent to all disciplines. We present an engineering education pedagogicalstrategy and assessment.While the specifics of professionalism is debated [4], [5], [6], there is some consensus around“professional skills”: communication, teamwork, and ethics [7]. Interpersonal skills have beenhighlighted as
several premier journals, including the Journal of Educational Psychology, Journal of Higher Education, and Science and Engineering and Ethics. She is a contributing author to several books published by Oxford University Press, Teachers College Press, and University of California Press. She served as President for the Korean American Educational Researchers Association, including President in 2013-2014, and Chair of the KAERA Board of Directors in 2019-2020.Dr. Jerry Lynn Dahlberg Jr, University of Tennessee Space Institute Jerry Dahlberg is the Senior Director of Research at the University of Tennessee Space Institute. Prior to joining UTSI, he was an Assistant Teaching Professor and Senior Design Committee Chair at the
, nanoparticle diffusion, and engineering and physics education.Lily Skau, Austin Peay State University Lily Skau is an undergraduate student at Austin Peay State University pursuing a bachelor’s degree in Engineering Physics and a minor in Mathematics and Sociology. She plans to graduate with her degree and minors in May of 2026 and enter the industry as a Mechanical Engineer. ©American Society for Engineering Education, 2025 Where Empathy is Needed in Engineering Formation Abstract Engineers are called upon to solve the complex problems plaguing society. These problems are intellectually rigorous and steeped in societal, ethical, and geographic
-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
social andhistorical context [8], and narratives can help learners form complex connections betweentechnical and non-technical content. For example: Halada and Khost [9] used narrative shortstories and case studies to encourage student reflection on the interactions between engineering,technology and society. Finally, narratives put humans at the center of the story, instead oftechnical content. Stolk and Martello [10] showed that integrating a human-centered approachinto their course project increased student motivation and encouraged higher use of criticalthinking. All of this supports ABET student outcome #4: “an ability to recognize ethical andprofessional responsibilities in engineering situations and make informed judgments, which
how particular humanities opportunities lead to particular outcomes isexactly what is needed to make evidence-based arguments about the importance of this teaching.The Engineering and Humanities Intersections study responds to this gap by observing studentexperiences as they learn across disciplines to better understand how these learning experienceswork to support the outcomes that are associated with a liberal arts education, namely enablingtransdisciplinary competencies—communication, teamwork, project management,professionalism—and broadening mindsets—an ability to understand alternate epistemologiesand others’ perspectives, an appreciation of the social and environmental context of engineeringwork, self-awareness and ethical reasoning
BME programs, recent work in BME education has highlighted examples of theintegration of ethics as a spine for BME curriculum [21]. Despite the progress for design andethics as curricular “spines” in BME, only a few works in progress exist (e.g., [22]) to considerhow to incorporate health equity across multiple levels of courses within BME curriculum.Combined, the lack of existing models for incorporating health equity into BME curriculumalongside the timely call to action for BME to advance health equity [6] presents an urgentopportunity to expand our understanding of effective practices for integrating health equity intoBME curriculum.We aim to contribute to this gap in literature through sharing insights from a collaborativeautoethnography