Exploration - Provide students with datasets such as the ones in this paper and guide them through data wrangling using Python libraries like Pandas, Numpy, and Scikit-Learn. • Model Building and Analysis - Assign students tasks to build and compare ML models (e.g., LR, RF) and evaluate them using metrics like MSE and R-squared. • Critical Thinking Exercises - Encourage discussions on model selection, limitations, and ethical considerations in AI applications.5.6.2 Sample Classroom Assignment: Predicting Water Quality ParametersObjective: Educate students about how to predict water quality parameters using real-world dataand assess the potential impact of sensor faults on predictive models.Assignment Structure • Task 1
Paper ID #46868Exploring Minority Undergraduate Students’ Hands-on and Research Experiencesin a Summer QISE Laboratory CourseYiXiang Shawn Sun, Virginia Polytechnic Institute and State University Shawn Sun is an Engineering Education PhD student at Virginia Tech. He is co-advised by Dr. Qin Zhu and Dr. Jenni Case. He is also the Assistant policy analyst fellow at Research Institute for Democracy, Society, and Emerging Technology (DSET, Taiwan). His research interests include Emerging technologies-informed engineering education; Engineering ethics; Engineering culture; Global engineering education; STEM policy analysis
their capstone design projects, and how. Thiswas useful to capture methods that might be shared with other capstone instructors, as well as toappraise the strengths, weaknesses, and opportunities for improving the instruction ofsustainability in the course/program. This interview protocol was approved by the University ofWaterloo ethics review board. 2.2 FindingsIn total, 11 engineering capstone design instructors were interviewed (representing 12 out of the14 engineering programs offered at the University of Waterloo). All capstone design coursesdescribed in this paper are two-term courses in the fourth year of their respective program,though four of the programs have a design course in the second term of third year where thecapstone design
. Shih, B. D. Chambers, and M. James, “On the challenges of transferring teaching practices in engineering ethics and an asset-based approach to developing ethics instruction,” in 2024 ASEE Annual Conference & Exposition, 2024.[10] I. S. Osunbunmi, S. Cutler, V. Dansu, Y. Brijmohan, B. R. Bamidele, A. N. Udosen, L. C. Arinze, A. V. Oje, D. Moyaki, M. J. Hicks et al., “Board 45: Generative artificial intelligence (gai)-assisted learning: Pushing the boundaries of engineering education.” in 2024 ASEE Annual Conference & Exposition, 2024.[11] K. Lee, “Augmented reality in education and training,” TechTrends, vol. 56, pp. 13–21, 2012.[12] K. Petal, Y.-Z. Lin, and P. Satam, “Edutalk sentiment dataset,” https://gitlab.com
authors [14],[7], [17] who have highlighted their concerns about the potential implications of using AItechnologies like voice cloning to create academic content. While these technologies offersignificant benefits during the content production process, they also raise concerns aboutintellectual property (IP) considerations, authenticity, and the potential for misuse, such as thecreation of deepfakes. Administrators emphasize the need for clear policies and guidelines toaddress these issues, ensuring that both creators' rights and the ethical implications of using AI ineducational content are adequately managed [18].Research QuestionsThe main goal of this study was to contribute to a rapidly growing body of knowledge that couldlead to the
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 the UPRM Sustainability Engineering initiative to develop a new bachelor’s degree and curricular sequence, Papadopoulos is PI of A New Paradigm for Sustainability Engineering: A Transdisciplinary, Learner-Centered, and Diversity-Focused Approach, funded by the NSF HSI program. Papadopoulos is active in the
to communicate technical concepts to a non-technical audience.7. Teamwork and Collaboration: Ability to collaborate effectively with team members, evidenceof leadership or active contribution to team efforts, and communication and conflict resolutionwithin the team.8. Ethical and Societal Impact: Consideration of ethical implications of the design or solution;assessment of environmental, societal, or economic impacts; and compliance with relevantregulations or standards9. Reflection and Self-Assessment: Ability to reflect on the project and its outcomes.Identification of personal strengths and areas for improvement, lessons learned, and futuredirections for the project or design.Each Capstone Design class will include several project
nature ofsustainability while also touching on ways considering sustainability prompts new learning, newor renewed interest, and recognition of both the limitations of possibilities for chemical engineersto affect change.References[1] National Academy of Engineering, “The Engineer of 2020: Visions of Engineering in the New Century,” National Academies Press, Washington, D.C., 2004. doi: 10.17226/10999.[2] “NSPE Code of Ethics for Engineers.” National Society of Professional Engineers, 2019. [Online]. Available: https://www.nspe.org/sites/default/files/resources/pdfs/Ethics/CodeofEthics/NSPECodeofEth icsforEngineers.pdf[3] “NSPE Advocacy: Sustainability and Resilience,” National Society of Professional Engineers. Accessed: Jan. 01
dignity and respect, from our labmates to communities much different than our own. We need to ensure that our designs, programming, building, testing, and the function of our robots treat humans and human interactions with respect. • Enthusiastic outreach: Through our community interactions, we inspire positive change in the world, informing responsible policy and accurate understanding of robotics. • Integrity in action: Robotics has the leverage to shape our future, and it is important that we are honest, fair, and ethical, reporting our successes and failures as we create embodied intelligence.Our undergraduate curriculum supports students in establishing these values through specificlearning objectives
by grouping like items in the surveyactivities. For example, the second item (Q2) generally asked participants to identify theirconfidence in ChatGPT to provide useful citations. To contextualize this general question: “Howconfident are you that ChatGPT can give you citations that you can use for your work?” for eachparticipant, we adapted the discussion of work to their specific tasks. Specifically, Q2 wasspecified as: “How confident are you that ChatGPT can,” “... give you citations that you can usefor your DLA (final project),” for the students; “give you appropriate academic citations that youcould use for a paper about the ethics of AI,” for the faculty; and “give you correct and relevantcitations you can use for your work,” for the
ABET, post-secondaryinstitutions increased their interest in including design in engineering programs focusing onenvironmental, health, safety, ethical, social, and political topics [3]. Commonly, by working ontheir capstone projects, senior engineering students apply the requirements of engineering designprojects. There are different engineering design types, approaches, and scopes. The one exploredin this study is through an engineering environmental national contest. The design contestdescribed in this study distinguishes itself by offering five new environmental design challengeseach year that require teams to build a working bench-scale demonstration. At least one task isoffered for each engineering discipline, highlighting that all
that my personal experiences do not introduce bias. I will follow all ethical guidelines and research protocols established by Clemson University to maintain academic integrity and ensure the validity of the findings.Dr. D. Matthew Boyer, Clemson University Dr. Boyer is a Research Associate Professor in the Department of Engineering and Science Education and an Educational Proposal Writer in the College of Engineering, Computing and Applied Sciences. ©American Society for Engineering Education, 2025 Examining the Experiences of Neurodivergent Learners in STEM Fields in Their Transition to and Engagement
] “Association of Women Surgeons Need extra board exam preparation? Try Chat GPT…,” Womensurgeons.org, 2024. https://blog.womensurgeons.org/medical- students/need-extra-board-exam-preparation-try-chat-gpt/ (accessed Jan. 15, 2025).[6] OpenAI, Introducing ChatGPT, 2022. https://openai.com/index/chatgpt[7] S. Wolfram, “What Is ChatGPT Doing … and Why Does It Work?,” writings.stephenwolfram.com, Feb. 14, 2023. https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it- work/[8] “Change to policy on the use of generative AI and large language models,” Science.org, 2023, doi: https://doi.org/10.1126/science.adm9531.[9] “Ethical Standards for Publication of Aeronautics and Astronautics
correlation”, often didnot have (or lost) a required funding to continue their work in that area. Alster [7] referred to thewords of one of his interviewees: “There is no money to do research, and it is not going to comefrom government, because government is controlled by industry” (p. 28). Another reason thatcreates difficulty for deep quantitative research studies is impossibility of finding an appropriatepopulation for the ‘control groups’, those people who do not use cellphones for a significant periodof time, and do not live under any exposure of electromagnetic fields or wireless devices from anydirections or facilities. The text below is a direct quotation from the book [7] published by Centerfor Ethics, Harvard University: “Dr. Henry Lai
, especially the National Science Foundation, whichstarted the NSF Research Traineeship (NRT) program ten years ago. This program specificallyrequired explicit training of students in technical skills, communication skills, and othertransferable professional skills (e.g., project management, leadership, ethics, teaching,entrepreneurship, teamwork, conflict resolution, and outreach) [11, 12]. The NRT programencouraged the home institution to train students in partnership with industry and other academicinstitutions. In 2024, NSF launched a new training opportunity, NRT Institutional PartnershipPilot (NRT-IPP) program, which explicitly required participation of industry [12]. This programcalled for primarily initiating new research-based MS programs in
include: their understanding of social justice, perceptions of theexperience, community partner interactions and decision-making, challenges encountered, andhow the experience relates to their profession and career.A few days later, the students engage in a one-hour group reflective activity in which theresearch team alternates presenting elements and guiding the discussions. The three componentsof service-learning are presented using the Eyler and Giles definition: service and academiclearning, reciprocal partnership and mutual learning, and critical reflection [8]. A condensedversion of Perry’s scheme of intellectual and ethical development [9] is included to describeeffective critical reflection. Participants discuss in pairs whether their
, both from a cross-cultural andintra-racial standpoint, in engineering. The methodology was carefully designed to capture thenuanced experiences and perspectives of faculty advisors and/or graduate students whilemaintaining scientific rigor and ethical considerations. The methodology presented is mindfulof all the complexities of mentoring relationships and connected constructs, particularly inunderstanding how emotional intelligence manifests in these relationships.2.1 Research Design The research design selected for this study follows a participatory research approach [31],[32]. The first study on cross-country cultural mentoring was conducted using a collaborativeautoethnography between a faculty advisor and their graduate students (the
varying results for identical questions. Wang [32]examined the application of OpenAI's GPT models (GPT-3.5, GPT-4.0, and GPT-4o) inanswering semi-structured interview questions related to the impact of generative AI on riskmanagement. The study found that GPT models are effective in generating realistic interviewresponses, enabling researchers to refine questions and methodologies before engaging humanparticipants.Despite the benefits of generative AI, its use presents several challenges, including hallucination,sensitivity to prompt phrasing, algorithmic bias, and ethical concerns. Nonetheless, most studieshave utilized it to respond to interview questions, identify themes in qualitative analysis, andcompare its performance to human-generated
populations participated in the program at differentrates than their peers and whether there were differences in their experience of the project itself.Initial results showed statistically significant differences in participation for women andLGBTQIA students, as well as statistically significant differences in motivation for programparticipation and perceptions of career outlook. The study concludes with a call for highereducation institutions to broaden their sponsored programming to appeal to a broader studentpopulation and retain more diverse engineering student cohorts.IntroductionThe National Society of Professional Engineers Code of Ethics preamble states that “Engineeringhas a direct and vital impact on the quality of life for all people
students based on this informationaiming for a diversity of social styles on each team. Instructors were directed to be intentionalabout scaffolding and facilitating teamwork, with a recommendation to have students create ateam contract with a focus on ‘team growth’ and a reflection assignment later in the semester.Weekly instructor meetings covered a range of topics, including the week’s content anddiscussions on any team conflicts that arose in class. Topics addressed included challenges withteam communication, student workload division, student attendance, and the instruction ofcontent related to team growth, risk mitigation, and engineering ethics. Instructors activelyexchanged ideas and best practices each week. However, in Fall 2024, only
andcompatibility, and disease specificity (Figure 1). These constraint lists show that the studentsunderstand that their proposed engineering solution for type-1 diabetes treatment needs to beoptimized for safety, efficiency, and patient need. One interesting and relevant constraint thatmakes appearance in the BME 3010 list is ethical collection of cells. This shift suggested that asstudents’ progress from their sophomore to junior year, they develop a deeper awareness ofethical considerations and the complexities involved in BME solutions.In their final submissions, students were asked to create engineering schematic to representphysiological processes involved with their biomedical scenarios. Our content analysis of BME2010 (Appendix Table 1
meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors (Student Outcome 2) an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts (Student Outcome 4)It is common practice for undergraduate engineering programs to use the senior capstone projectto assess the abilities of students to meet these ABET student outcomes [7]. Considering the mid-twentieth century definition of engineering as “applied science”, capstone projects are a logicalplace for students to
engineering design to produce solutions that meetspecified needs with consideration of public health, safety, and welfare, as well as global, cultural, social,environmental, and economic factors”, criterion (3) “an ability to communicate effectively with a range ofaudiences”, and criterion (4) “an ability to recognize ethical and professional responsibilities inengineering situations and make informed judgements, which must consider the impact of engineeringsolutions in global, economic, environmental, and social contexts”.ConclusionsElectrical and computer engineering students are often not engaged in humanitarian engineeringprojects because many of these projects are focused on provisioning clean water or building structuresto communities. Yet, as we
worked as an engineer at the National Renewable Energy Laboratory.Dr. Angela R Bielefeldt, University of Colorado Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Environmental, and Architectural Engineering (CEAE) and Director of the Engineering Education Program. Her engineering education research interests includes community engagement, ethics, and sustainability. Bielefeldt is a Fellow of the American Society for Engineering Education (ASEE) and a licensed Professional Engineer in Colorado. ©American Society for Engineering Education, 2025 GIFTS: Integration of Real-World Case Studies into a First Year
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-year curriculum.Dr. Michelle Marincel Payne, Rose-Hulman Institute of Technology Dr. Michelle Marincel Payne is an Associate Professor in the Civil and Environmental Engineering at Rose-Hulman Institute of Technology. She earned her Ph.D. in Environmental Engineering from the University of Illinois at Urbana-Champaign, her M.S. in
academicunderstanding at the elementary level and emphasized knowledge development and practical,functional activities, including creativity, values, participatory skills, craft, and morale ofstudents; (4) 1968 Curriculum: This curriculum incorporated the cultivation of life inaccordance with Pancasila, encompassing essential knowledge and specialized skills toensure the fulfillment of the human rights of Indonesian citizens. This includes the promotionof physical well-being, intellectual prowess, physical abilities, ethical conduct, and religiousbeliefs; (5) 1975 Curriculum: It focused on objective-based content and strategies, withteachers given the responsibility of identifying and arranging instructional materials; (6) 1984Curriculum: In response to the
• Scientific Integrity • Scientific Communication: Citations, research articles, abstracts and postersLearning OutcomesFollowing completion of the course, students are expected to: 1. Develop technical research skills and effectively communicate research goals and objectives. 2. Develop networking skills through peer and faculty mentor/mentee relationships. 3. Understand safety in the laboratory as well as proficiency in the practice of ethical research principles through certification. 4. Develop critical thinking skills to understand scientific methods used in STEM research. 5. Develop skills in public speaking through the creation and presentation of a scientific research poster.SUPER Near-peer Mentor ProgramStudents
productive collaboration within the team. • Standards and Ethics – Areas relevant to each project are identified and discussed both within and between the teams. • Project Proposal – This is a document that serves as the agreement between the team and the sponsor company. It specifies the formal problem statement, background, goals, information needed, deliverables, and target value. • Data Collection – This process is started before the end of the semester to take advantage of the break. Students might request quantitative data to give the company ample lead time or perhaps employ a survey process that can run between semesters.Second Semester • Team Performance – Time is taken to
, properwork ethic, and professionalism as part of a student group. Six months prior to departure,sessions were held to tutor students on aspects of coral reef ecosystems and the connection oftheir individual research project to these systems. When possible, students were encouraged tointeract with their summer research mentor during the academic year to learn and practice therequired research skills for their individual research project (i.e. DNA extraction). Occasionally,when academic year research training was not possible, a two-week science boot-camp was heldat MC to drill students in specific theory (i.e. ion compositions, pH, coral anatomy) and skill sets(i.e. DNA extraction, spectrophotometry, etc.).Hands-on ResearchA specific dive schedule
chatbot functionality to specific course requirements to maximize effectiveness.Earlier work by Bender et al. [8] provided the groundwork for understanding the limitations ofgeneral-purpose chatbots in specialized learning environments.Future of Education: AI and MOOCsVerma et al. [9] examine the role of AI in enhancing MOOCs, emphasizing personalized learningand automated feedback. AI-powered tools have been shown to significantly improve learnerretention and engagement by tailoring content to individual needs. However, ethical concernssuch as data privacy and algorithmic bias remain critical. Verma et al. (2024) draw on theanalytics framework proposed by Kumar et al. [10], which emphasizes proactive interventionstrategies in MOOC platforms.In