” option was also available. Thepanelists were also asked to identify the five most-relevant conceptions and rank them. Thereferences for these conceptions of judgment are given by [5-36]. Table 1: Conceptions of Judgment from the Literature 1. Application of one’s knowledge or experience 2. Approximation that achieves reasonableness 3. Assessment of the reasonableness of a solution, assumption, etc. 4. Consideration of societal, ethical, cultural, global, or aesthetic contexts or issues 5. Creativity (within constraints) 6. Critical thinking (i.e., disciplined gathering and use of information to guide action) 7.Decision making (including weighing of issues) amidst complexity and competing demands, objectives, or
& IIThe two-course capstone experience for the USAFA civil engineering program was firstexecuted during the 2023-2024 academic year. CIVENGR 451 (Civil Engineering CapstoneDesign I) occurs in the fall and CIVENGR 452 (Civil Engineering Capstone Design II) occurs inthe spring. Each course is worth 3.0 credit hours, and has the following objectives: 1. Work effectively within a design team in a professional and ethical manner. 2. Apply the civil engineering design process and conduct iterative analysis and design of a solution to a challenging, ill-defined and open-ended problem. 3. Apply knowledge of math, science, and engineering to design a system, component, or process in more than one civil engineering context in
years, she has developed a keen interest in advancing innovation in engineering education. At present, she actively explores various methods to enhance student engagement and optimize their learning experiences through curriculum and course design. Her primary teaching objective is to foster a lifelong learning mindset in her students by promoting critical thinking and problem-based learning. Dr. AbdelGawad’s teaching philosophy integrates real-life ethical dilemmas to encourage students to think deeply, challenge their opinions, and integrate ethics into their coursework to help shape them into successful, professional and socially responsible engineers. ©American Society for
perspective.Furthermore, specific recommendations for industry adoption of AI should include best practicesfor integration, guidelines for selecting AI tools, and strategies for measuring AI's impact onproject outcomes. Addressing ethical and security considerations is also essential, withrecommendations for safeguarding sensitive data and ensuring ethical AI use. By incorporatingthese recommendations, this research can enhance the practical understanding of AI's role intransforming construction industry practices, building trust and confidence among industrystakeholders.Summary and ConclusionThis research has explored the transformative impact of Artificial Intelligence (AI) on advancedconstruction technologies, focusing on its integration within the
most technologies, are oftennot chosen and implemented with all community members in mind [7]. The communities thathave been historically marginalized in STEM are often the same communities disproportionatelyharmed by climate change. Without explicit attention to sociotechnical concerns, climate tech islikely to further amplify these injustices. A central goal in this project is to help youth develop aninformed, analytical, critical stance toward technology. To do this, we draw on emerging work oncritical sociotechnical literacy [1], which is related to other recent calls for attention to ethic ofcare [8], compassionate design [9], and macroethics and ideology [10]. Recognizing that theeffects of technology are typically unevenly felt, and
incoming first-year engineeringand computer science students. Two sections of the course are offered each semester, and there isa maximum enrollment of 410 students per section. Traditionally, this 0-credit hour course servedas an introduction to college life, campus resources, facilities, academic advising, and engineeringdepartments/programs offered on campus. Often, students found this course boring, not engaging,and a waste of 50 minutes every week. Therefore, to help build first-year students' engineeringtoolbox and make the course more engaging, topics were added to the course outcomes to addressengineering design, problem-solving, engineering ethics, safety, teamwork, sociotechnicalengineering problems, and innovation. Before restructuring
routineactions[10]. More specifically, professionals should conduct “reflection in action”, i.e., an ongoingprocess of questioning decisions during their work, as well as “reflection on action”, i.e., assessing theresults of the action after it’s completed and thinking about how to act differently next time[11]. Ourpost-program evaluation methods invite students to reflect on action by thinking back across theirexperiences in the REU program. Similarly, scholars in science and technology studies have developedmethodologies for encouraging scientists and engineers to reflect on their ongoing research and designpractices to better achieve ethical and socially beneficial outcomes [e.g.,[12], [13], [14]]. Thosemethodologies may be useful for designing
19. Self-critical sustainability 20. Draw insights from reflection 50. Understand economic impact 21. Give and receive feedback 51. Recognize impact of work on 22. Self-directed learning various stakeholders 23. Reliable 52. Recognize ethical responsibilities 24. Relational skills 53. Frame and solve problems 25. Mutual performance monitoring 54. Design to address specified needs 26. Backup behavior 55. Analysis 27. Team orientation 56. Tinkering 28. Promote shared mental model 57. Recognize professional 29. Create supportive climate
some freshmen attended each event NSPE Guest Speakers for E-Week School-level event (lunch included) • Goal: at least one guest speaker event per semester that promotes ASHRAE Guest Speaker on Ethics & Statutes, Local professional organization event licensure PDH earned for PE’s hosted on campus by ME Program Welcome/Orientation meeting for new ME ME Program • Continuous offering students – discussion of FE graduation requirement and professional licensure
Centres. His other specialties are engineering education and the relationship of technology with sustainability, ethics and human rights. Since 1991 he has been working as a lecturer in the Department of Computer Architecture at the UPC (Barcelona, Spain), where he has been a associate professor since 2001. He has been a consultant for the Universitat Oberta de Catalunya. His thesis dissertation was about architecture design, optimization and numerical code compilation. Since 2004 he has made engineering education and its relationship with ethics and sustainability his main research topic, with more than one hundred and fifty scientific and press papers published in these years. He has participated in a dozen research
conferences. Figures 3, 4 themselves have minor differences. The topicsextracted just from the mission statements include phrases such as ’machine learning’, ’datascience’, ’large language models’ and ’natural language processing’, representing topics ordomains in AI and Machine Learning that conferences tend to focus on. Although a lot ofthose topics are predicted just once for the entire corpus. The large language model (LLM)-based topic extraction (Figures 3 and 4) reveals slightlymore nuanced topics. Instead of isolated keywords, the LLM identifies meaningful topicalclusters such as "generative AI," "enterprise AI and industry applications," "interdisciplinaryand collaborative research," and "responsible, ethical, and trustworthy AI
facilities, online resources, and services through the institution's library, makerspace,and laboratory. Ethical approval for the study was obtained from University of New South WalesHuman Research Ethics Committee prior to data collection (Project Reference Number:HC200047). Student participants were informed of the study’s purpose and their rights, andwritten informed consent was obtained from 69 students.AI Analysis of Student Teams Meeting TranscriptsDESN2000 was delivered in person but students are required to meet outside of class to plan andcomplete their project tasks throughout the term. Geographic and scheduling constraints meantin-person meetings can be challenging for some students as UNSW Sydney is a commutercampus. Most student teams
projects. • SO4: 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. Students were exposed to use of 3D scanning in an ethical way and its impact on the society in terms of culture preservation. They were also exposed to Intellectual Property laws within their ENGR 4801 Rapid Prototyping and Reverse Engineering course they took earlier. • SO6: an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions. To be able to solve their problems
diverse student populations, whileindustry professionals will shed light on workplace barriers and initiatives designed to promoteinclusion. Ethical integrity is a cornerstone of this study, ensuring that all research activities areconducted responsibly and with respect for participants. Prior to data collection, approval will beobtained from the Institutional Review Board (IRB) to guarantee compliance with ethical researchstandards. Participants were fully informed about the study's purpose, procedures, and their rights,including the voluntary nature of their involvement and the ability to withdraw at any time withoutrepercussions. Informed consent forms were provided and signed, emphasizing confidentiality andthe measures taken to protect
of 25 second-year engineering students were selected using stratified random sampling toensure demographic and academic diversity.4.1.3 Data Analysis:Surveys were administered online and in-person.Statistical Techniques: • Descriptive statistics (mean, standard deviation) to summarize survey responses. • Correlation analysis to assess relationships between hands-on preparation and academic outcomes. • Regression analysis to identify predictors of success in engineering coursework.4.2 Qualitative Methods4.2.1 Interviews and Focus Groups: Semi-structured interviews were conducted with 25 students, lasting 30–45 minutes each.4.3 Ethical ConsiderationsThis study adhered to ethical research
the profession of environmental engineering, six specific items were highlighted. First, in2010, the AAEES added an eighth subspeciality for the in the area of environmentalsustainability [7]. Second, in 2015, the AAEES launched the, “Patrons Program,” as a way toformally increase engagement with and financial support from organizations such as consultingfirms and utilities. Third, in 2019 the NASEM published, “Environmental engineering for the21st century: Addressing grand challenges,” which outlined five areas where the profession ofenvironmental engineering is uniquely poised to help to solve [8]. Fourth, in 2021, the AAEESBoard of Trustees adopted the, “AAEES Ethics Statement,” which identifies four canons. Thefour canons include: 1
1, highlight that the bestperformance was achieved with Adam optimizers for 100 epochs. The comparison in Figure 2further confirms that our hybrid model significantly outperformed standalone traditional modelsin terms of classification accuracy.Even though results show how effective our approach is, there are significant ethical concernsraised by using AI to predict students' academic performance, especially with regard to bias andfairness. The OULAD dataset might have inherent biases related to demographics,socioeconomic status, or institutional regulations because it is based on real student records.Machine learning models run the risk of sustaining current educational disparities if these biasesare not addressed properly. A major concern
designs. The deductive coded themes for this qualitative analysis were established before dataanalysis based on the seven ITEEA Standards for Technological and Engineering LiteracyPractices: Communication, Optimism, Critical Thinking, Making and Doing, Creativity, SystemsThinking, Attention to Ethics, and Collaboration as defined in Table 2 as these are elements ofwhat engineering education encourages to possess and demonstrate[6]. In addition to theresearcher's analysis of qualitative data, an AI-assisted qualitative analysis was conducted toassist in filling any potential gaps. Table 2: Definition of Standard for Technological and Engineering Literacy Practices Practice: Definition: Evidence in Responses
students viewsocial and contextual skills and knowledge as central to careers in IE and their reflections on howtheir required coursework has prepared them for their future careers. Implications for futureresearch and practice are discussed.IntroductionEngineering is increasingly recognized as a discipline that requires attention not only to thetechnical work aspects but also to the social contexts in which the work occurs and the broaderimpacts of engineering on communities and society [1] - [4]. The social and contextual nature ofengineering work has been recognized by the Accreditation Board for Engineering andTechnology (ABET), which outlines student outcomes that recognize the importance ofconsidering the social, cultural, ethical, and
students’ professional identities.Almost every single one of our students shared feeling ambivalence about pursuing engineeringas an undergrad and then an “ah-ha” moment when they found a graduate program thatemphasized the inherent social dimensions of engineering. One student said that he never reallyhad a strong engineering identity because of “engineering education, culture, and what isemphasized and what’s not emphasized.” He described a chemical engineering unit on processsafety, which was used to think about ethics. He recalled, “The opening line is, if you blow upyour plant, you’re not gonna make any more money… that’s always been such a turnoff for me. Iwas not motivated by, I would say, those traditional engineering ideals of efficiency
Paper ID #45818Coming to America and Helping Communities: Stories from Women in AcademiaDr. 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 for the Engineering Education Program. She conducts research related to engineering ethics, sustainability, social responsibility, and community engagement. Bielefeldt is a Fellow of the American Society for Engineering Education and a licensed P.E. in Colorado. ©American Society for Engineering
ethical andprofessional responsibilities inengineering situations and makeinformed judgments, which mustconsider the impact of engineeringsolutions in global, economic,environmental, and societal contexts.5. an ability to function effectively on x x x xa team whose members togetherprovide leadership, create acollaborative environment, establishgoals, plan tasks, and meetobjectives.6. an ability to develop and conduct xappropriate experimentation, analyzeand interpret data, and useengineering judgment to drawconclusions.7. an ability to acquire and apply new xknowledge as needed, usingappropriate learning strategies.ABET-ETAC Student Outcomes1. an ability to apply knowledge, x xtechniques, skills
. Participating inwhole-class conversations during engineering design experiences can also help students expandtheir engineering thinking to include perspectives of care (McGowan & Bell, 2020) and socio-ethical deliberations.In a multi-year collaboration of university researchers and classroom teachers in first- throughsixth-grade classrooms, we have been enacting and studying five different types of whole-classengineering design conversations, which we refer to as Design Talks. Examples, including videoclips and transcripts, can be found on the project website at www.engineeringdesigntalks.org andin prior publications (Wendell et al., 2024; Wendell, Watkins, Andrews, & Malinowski, 2023;Wendell et al., 2022).As a teacher-researcher community of
computations. Achieving a balance between computational efficiency and highdetection accuracy is critical for real-time performance in dynamic driving environments.Additionally, AV deployment raises regulatory and ethical issues. In critical scenarios, AVsystems may need to make moral decisions, such as choosing between two harmful outcomes,which introduces complex ethical dilemmas [25]. Furthermore, the lack of standardizedregulations governing AV deployment across regions creates additional barriers to large-scaleadoption. Mask R-CNN Mask R-CNN is a groundbreaking model in deep learning, designed to perform instance segmentation by identifying and segmenting individual objects at the pixel level. Introduced by He et al. (2017
must not only possess technical expertise but also the ability to connectethical theories with engineering practices. An ethics-of-care approach, for instance, can enhancestudent understanding of sustainability by encouraging them to consider the broader social andenvironmental implications of their work [19]. By embedding these competencies into curricula,higher education institutions can ensure that their graduates are well-equipped to drive sustainabledevelopment in their respective fields.2.2 Sustainability in Curricula in Civil Engineering and Related DisciplinesCivil engineering, as a discipline, is uniquely positioned to contribute to global sustainabilityefforts due to its direct impact on infrastructure development and resource
, and Songdo. Highlight practical implementations of energy-efficient practices and discuss the challenges encountered. Encourage critical thinking through comparative studies of various Smart City models worldwide. B-2 Interdisciplinary Collaboration Capstone Project: Facilitate joint projects involving CM, CE, and Architecture students to solve Smart City design challenges collaboratively. Promote knowledge-sharing and integrated thinking across disciplines. Organize student participation in real-world projects or competitions to develop energy-efficient smart city prototypes. B-3 Policy and Ethical Considerations
] Attribute CEPs have the characteristic WP1 and some or all of WP2 to WP7: Depth of knowledge required WP1: Cannot be resolved without in-depth engineering knowledge at the level of one or more of WK3, WK4, WK5, WK6 or WK8 which allows a fundamentals-based, first principles analytical approach. Range of conflicting requirements WP2: Involve wide-ranging and/or conflicting technical, non-technical issues (such as ethical, sustainability, legal, political, economic, societal) and consideration of future requirements. Depth of analysis required
as they work on programmingtasks. Students with extended error resolution times are perceived to display strugglingbehaviors. By tracking the duration and frequency of error corrections, instructors can gaininsight into students’ debugging strategies.Furthermore, by integrating unit tests with the keystroke analysis, the tool enables theinstructors to dynamically assess code correctness. The pass/fail rates of the unit tests areclear measures of students’ progress.5 Ethical ConsiderationsGiven the focus of this research on student data collection and analysis, the study adheres toestablished ethical guidelines in order to protect the students’ privacy and maintain datasecurity. This research has been approved by our University’s
Ethics Pedagogy Can Accommodate Neurodivergent Students and Expose Ableist Assumptions," Building Inclusive Ethical Cultures in STEM, vol. 42, pp. 289-311, 2024.[36] M. Pilotte and D. Bairaktarova, "Autism spectrum disorder and engineering education - needs and considerations," in IEEE Frontiers in Education Conference, Erie, 2016.[37] J. L. Kouo, A. E. Hogan, S. Morton and J. Gregorio, "Supporting Students with an Autism Spectrum Disorder in Engineering: K-12 and Beyond," Jounral of Science Education for Students with Disabilities, vol. 24, no. 1, pp. 1-21, 2021.[38] D. R. Delp, ""Where Resources End and Teaching Begins: Experience with Students with Autism Spectrum Disorders in the Freshman Engineering Curriculum," in ASEE
methods of engineering; introduce skills which are basic to engineering; and acquaintstudents with the interaction of skills, techniques, logic, ethical responsibility[2], and creativity inengineering problem formulation and solving. Although the curriculum is common, the actualschedule for each student is based on their incoming background and their anticipated major. Thescience and general education requirements are the same regardless of whether they enter the FirstYear Engineering Program or as a first-year student or as a transfer student. Upon the successfulcompletion of the first-year curriculum, students choose their major from any of the tendepartments or programs.First year students (and transfer students) also participate in an