: ME manufacturing & supply chain (business); micro:bit processing signals from inputs & outputs (EngrTech) Goal: Develop a proposal for relocating microchip manufacturing to the US (business); Design lock to protect physical classified files (EngrTech) 9 Let the Chips Fall Where They May (7th – 10th, Geometry) ME Fuse: microchip manufacturing process Goal: Design an efficient layout for microchip dies on a silicon wafer 10 The Past, Present, and Future of Microelectronics (7th – 9th, Career Preparation) ME Fuse: ME products, careers, impact and importance Goal: Debate the use of ME from ethical, social, economic, and environmental perspectives 11 You Light Up
[15]. First-year engineering students as the engineers-to-be should be empowered toform their own ethical views on how they would like to learn and do engineering with generativeAI. Therefore, tinkering-based learning environments have the potential to empower engineeringstudents with various existing perceptions to form new perceptions on using generative AI asengineers.This study describes an introductory engineering course re-designed for first-year engineeringstudents to tinker with generative AI. During the course, students were encouraged to useChatGPT to generate code to program robots and build websites for documentation. Throughthematic analysis of students' responses to the surveys before and after the course, we report onthe themes
undergraduateengineering student. They appear to develop a critical eye for the ethical dimensions of differentengineering professions and these are often in contrast and conflict with the values studentsconstruct while preparing to become an engineer.In this study, I aim to characterize the tensions engineering students experience when doingidentity work related to their future careers. The study is based on a thematic analysis of in-depthinterviews with 6 engineering students at a private university in New England. The interviewprotocol was developed to explore their identity work in engineering school. I seek to understandthe nature of engineering students’ identity work when they consider their career trajectories andoffer engineering schools recommendations
(Table 3) ABET4 Recognize ethical and professional responsibilities in engineering situations and make informed judgements, which must consider the impact of engineering solutions inSignificant global, economic, environmental, and societal contextsLearning - ABET5 Function effectively on a team whose members togetherProfessional provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives ABET7 Acquire and apply new knowledge as needed, using appropriate learning strategies Table 3. “What” code levelsLevels
, 5. Network security, 6. Operating systems security, 7. Cloud security, 8. Software security, 9. Vulnerability analysis, 10. Penetration testing/ethical hacking, 11. Risk management, 12. Digital forensics, 13. Cybersecurity law and policy.BiometricsBiometrics information is playing a significant role in the field of cybersecurity. Three majorareas of biometric information processing in cybersecurity are listed below. 1. Access control: Biometric information is used to verify and authenticate any individual requesting access to confidential information and/or a secure facility. 2. Forensics: Biometric information can be analyzed to identify the person responsible for a malicious activity. 3. Biometric
. In fact, many of the ideas presented by theassociation are extracurricular in nature, which has been found to be ineffective for reachingengineering graduate students, according to meta-synthesis [1]. While librarians are oftenspecialized in the areas engineering graduate students lack and seek personal mentorship in, theyare often stuck in providing that support by ineffective means. The typical engineering curriculum does not have courses on research methods, few havecourses on research integrity or publication ethics, proposing research, writing, peer reviewing,or how your worldview influences your research [4, 5]. Published engineering literature, in fact,often leaves many of these important aspects of research as assumed [5
given transparent The culture of the laboratory research expectations doing research is meaningful has strong morals and ethics 100 100 100 50 50 50 % % % 0 0 0 Overall ND NT Overall
ofpersuasion [3]. While for some students the trustworthiness of an academic might besufficient, other students may expect you to cite your sources, especially with regards tocontentious or novel topics. This helps present the information as being more than just youropinion, assisting students with the evaluation process.Additionally, in areas of Engineering that might be more subjective (such as ethics andprofessional skills) it can be helpful to acknowledge that reasonable minds can come todifferent conclusions based on the same set of facts. Coming across diverse perspectives hasbeen shown to increase empathy and improve ethical decision making in students, as itteaches them their original perspective is not necessarily universal [27].Component 3
entrepreneur (03:36) 5. Constructing database searches with shotgun and snowball (02:42) 6. Constructing database searches with building blocks (03:08) 7. Using Purdue Library databases (03:16) 8. Gathering information from humans (04:13) 9. Considering intercultural communication (04:25)Competitive IntelligenceIn the Competitive Intelligence module, students learn to identify and gather competitor andproduct information for private and public companies and consider how to use this informationin an ethical way to make evidence-based business decisions. The learning outcomes for themodule are as follows:After completing this module, students will be able to: • Identify the steps, categories, uses, and methods of Competitive
organization, relevance, one’s level of interest, etc. The strategy category involves theperceived effectiveness of methods for achieving goals in cognitive undertakings, like a goodway to learn is by writing things down. As Flavell explains, “cognitive strategies are invoked tomake cognitive progress, metacognitive strategies to monitor it” [5].The authors look to allow the students to formulate their own learning objectives specifically inregard to ABET Criterion 3, Student Outcomes in the capstone design course. Criterion 3,Student Outcomes prepares graduates to enter the professional practice of engineering with sevenrequired outcomes that can briefly be articulated as an ability to solve, design, communicate,recognize ethical and professional
unfamiliar (N2 = 181), using the same test toevaluate differences in perceived ease of access and use of these services.Ethical considerationsWe have adhered strictly to ethical principles in our research, which aims to understand theinteraction between the university’s services and the socio-cognitive aspects of sense ofbelonging and self-efficacy.Before data collection, all participants were provided with an informed consent form thatclearly described the purpose of their participation. This form ensured that students were fullyaware of their rights to abstain from answering the survey without any consequences to theiracademic standing or university services. We have ensured that participation was completelyvoluntary, respecting the autonomy of
. ExecutionClass 4: Intervention in the construction site. Implement the planned tasks discussed inClasses 1, 2, and 3. Supervise and adjust as needed during the execution of the interventionproject. Completion of planned tasks considering the materials and the project's Gantt chart.Stage 3. ClosingClass 5: Project Analysis and Continuous Improvement Cycle (PDCA). Review and analysisof the project's development compared to the initial planning. Identification of lessonslearned and areas for improvement. Application of the PDCA cycle: Plan (identify areas forimprovement), Do (implement changes), Check (assess the impact of the changes), and Act(adjust accordingly).Analysis of results and ethical considerationsWe employed SPSS® software and the Wilcoxon
experiences:Communications, Work Ethic, Individual Identity, Life Experience, and Adaptation. Thesethemes were selected from the collective insights of the faculty members who independentlyreviewed the combined dataset. This analysis highlights the multifaceted challenges and learningopportunities students encounter when navigating the complexities of global engineeringenvironments. These themes are further defined in Table 4. Table 4: GES qualitative coding themes Code Coding Theme Definition 1 Communications Response includes major themes around spoken language, non-verbal communications, judgment/perception, temperament, and/or forced/informal
norms and behaviors thatmarginalize underrepresented students, further exacerbating their sense of exclusion andalienation [4]. Engineering's “hidden curriculum” covers things like professional norms,confidence-building, and ethics, taught indirectly in early foundational courses, makingadaptation difficult for transfer students [5].Mentoring has been identified as a valuable strategy for decoding the hidden curriculum andsupporting students in navigating the implicit messages and norms present in educationalsettings [3], [4], [6]. Mentors can provide guidance, share their own experiences, and offerinsights into the hidden curriculum, thereby helping students to understand and navigate theunspoken rules and expectations of the academic
not sign the consent letter to participate in the IRB-approved evaluationresearch.Evaluation MethodsEvaluation of the project consisted of a pre-post survey instrument focused on perceived self-efficacy in universal teamwork and research skills. This instrument was an adaptation of theResearch Self-efficacy scale [9]. Questions focused on things like the perceived ability to“engage in effective team practices,” “follow ethical principles of research,” “identify my ownstrengths within a team setting,” and “present research ideas in oral or written form.” This pre-post survey was augmented by weekly surveys aimed at understanding fellow engagement in theprogram. A final focus group was held with the project evaluator to further elucidate the
about the research project from the expertise of community members,while community members develop skills in conducting research (Israel et al., 1998). Studentswho are integral to the research team also derive benefits from engaging in community-basedprojects. This involvement enhances their awareness of community issues, fosters communitycollaborations, and refines their research skills and methods (Dunbar et al., 2013). Despite thesebenefits, CBR also presents challenges, such as ethical dilemmas between community desireswith respect to research design and methods and outsider researchers scientific rigor (Minkler,2005). Additionally, early career researchers engaging in CBR face challenges due to competingdemands on their time and resources
Paper ID #42501A Department’s Syllabi Review for LLM Considerations Prior to University-standardGuidanceLucas J. Wiese, Purdue University at West Lafayette Lucas Wiese is a PhD student in Computer and Information Technology at Purdue University. He studies AI ethics education and workforce development and works in the Research on Computing in Engineering and Technology Education lab (ROCkETEd) and the Governance and Responsible AI Lab (GRAIL).Dr. Alejandra J. Magana, Purdue University at West Lafayette Alejandra J. Magana, Ph.D., is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and
end of this course, students will be able to 1. Reflect on interests and potential career paths 2. Leverage existing digital technologies ethically and efficiently to solve the problem of how to create professional relationships from scratch 3. Perform outreach and schedule career conversations, via video chat, with professionals via warm networking and cold networking strategies 4. Effectively conduct career conversations (making small talk, active listening, asking smart questions, expressing gratitude, etc.) 5. Develop a professional brand, including an effective LinkedIn profile 6. Utilize newfound relationships to access
ethical considerations in working with K-12 studentsand obtaining authorization from school districts to the EDM community. The objectives of the EDM course are to cultivate an environment where students can acquireknowledge and develop skills associated with data science techniques, advanced software usage for dataanalysis, and learning theories and educational practices to interpret and design educational interventions. Considering that it is very likely that participants in an EDM course may come from strong datascience or education backgrounds, there are two considerations to accomplish the learning outcomes ofthe EDM course. First, students must learn concepts and skills that may not be part of their background,such as
applications in ethical development, equity and accessibility issues (e.g. web scraping) o Future-proofing o Economics o Project management and team software processes o Communication skills o Conflict resolution o Individual software processes, resiliency, self-reflection, self-assessment o Revision control and use of tools o Innovation and creative capacity o Entrepreneurial mindsetOverall, students and faculty both wanted to see more diversity in senior technical electives.These courses also allow students to specialize in specific areas of interest since it is not possibleto cover the immense breadth of software engineering in a limited timeframe. Students, faculty,and
experiences, we can contribute our perspective and add insights intohow engineering education graduate student researchers come to be.Reference[1] F. Goodyear-Smith, C. Jackson, and T. Greenhalgh, "Co-design and implementation research: challenges and solutions for ethics committees," BMC Med. Ethics, vol. 16, no. 78, 2015. https://doi.org/10.1186/s12910-015-0072-2.[2] C. Ellis, T. E. Adams, and A. P. Bochner, "Autoethnography: an overview," Historical Social Research/Historische Sozialforschung, pp. 273-290, 2011.[3] R. Likely and C. Wright, "The Journey of Decolonization as a Scientist and Science Education Researcher," in Equity in STEM Education Research: Advocating for Equitable Attention. Cham: Springer International Publishing
should be developed in the firstyear, including personal and professional effectiveness [1, 2]. Competencies within thesecategories include responsibilities, ethics, communication, teamwork and autonomous work [2,3]. As 3-dimensional modeling needs have increased, some of the other software like wordprocessing and spreadsheet programs may no longer be a requirement in curricula [4]. GoogleClassroom has provided free software for word processing and spreadsheet programs to over 40million users and 30 million students and teachers [5].During the pandemic closures, there was also a variety of non-traditional coursework deliverymethods in order to overcome the lack of interaction in the classroom such as; GroupMe,Remind, Slack, and Zoom [6]. With
clarified that the use of AI tools was permissible, provided that it was recognized inthe report's acknowledgement section. Nearly all student reports acknowledged using ChatGPT,and a few also acknowledging the use of QuillBot [11] and Grammarly [12]. The students wereallowed to work in teams of up to three members, yet many students opted to workindependently. Each report was to have a section describing economic, environmental, andsocietal considerations, as well as a section summarizing the ethical obligations of professionalengineers. Students were given a suggested outline for the report, description of required reportformatting, and a detailed grading rubric.ReportsReports from two semesters are compared. Reports collected in the Spring 2022
broader understanding and appreciation of intellectual/ 3.9 21 64 cultural activity (music, science, literature, etc.) Developing skills in expressing myself orally or in writing 4.5 7 86 Learning how to find, evaluate, and use resources to explore a topic 4.5 0 86 in depth Developing ethical reasoning and/or ethical decision-making 4.4 0 79 Learning to analyze and critically evaluate ideas, arguments, and 4.3 7 79 points of view
Convergent Thinking Processes ● Innovation ● Production of Novel Ideas ● Production of Useful IdeasEmpathy ● Cognitive Empathy ● Emotional Empathy ● Empathic ResponseEntrepreneurial Mindset ● Entrepreneurial Intent ● Entrepreneurial Skills ● IntrapreneurshipEthics ● Ethical Behavior ● Ethical Reasoning ● Knowledge of EthicsGlobal & Cultural Awareness ● Cultural Competence or Awareness ● Diverse Workplace Competence or Awareness ● Global Competence or AwarenessGrit/Persistence/Resilience ● Navigating Hostile Workplace ● Overcoming Setbacks ● Perseverance for Long-Term Goals ● Pivoting when AppropriateLeadership ● Organizational Leadership
. Fromconceptualizing environmentally friendly product designs and optimizing production processes for minimalenvironmental impact, to using industry 4.0 technology such as IIoT, digital cloud computation, and smartsensors, it is the range of sustainability principals’ integration that holds the key to reshaping the future ofmanufacturing education curriculum [3] and [4].This research work studies the technical intersection of sustainability and manufacturing engineeringeducation to exploring the significance of incorporating sustainability principles, practices, methodologies,and ethics into an independent empirical study research project. This approach equips the next generationof engineers with the skills and knowledge needed to navigate complexities and
Medsker is a Research Professor of Physics at The George Washington University (GWU) and at the University of Vermont. He is also a Research Affiliate at George Mason University’s Center for Assured Research and Engineering. He is a member of the GWU Human-Technology Collaboration Lab, and Founding Director of the university’s Master’s Program in Data Science. Larry specializes in areas of artificial intelligence, data science, computer science, neural computing, information systems, physics, and STEM education. He is the author of four books and over 200 publications on neural networks, AI, and physics. He serves as Co-Editor-in-Chief of AI and Ethics, Associate Editor of Neural Computing and Applications, and Policy
FEDT as soon as possible andstop making changes to it to accumulate historic data. As we accumulate historic data,we will look to see if we observe any trends of low success in any topics that requireintervention.With the approval of IRB, we would like to add student background data to the FEDTtest. For the first set of FEDT, we manually divided the students into MNSU studentsand transfer students' groups after all juniors took the test, which was time consumingand may not be accurate. We would like to add the questions FEDT to obtain thisinformation and to factor transferred 1XX – 2XX courses for efficient assessment.Moreover, we would like to add more modules starting from Ethics and ProfessionalResponsibility Disciplines. Since FE results
Paper ID #41888Case Study: Civil Engineering Student Mental Health and Watching Football?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 Integrated Design Engineering (IDE) program. IDE offers a BS degrees accredited under the general criteria of the ABET EAC and a new PhD degree in Engineering Education. Her research interests include sustainability, social responsibility, ethics, and community engagement. Bielefeldt is a licensed P.E. in
extent does the program increase a trainee’s intentions to pursue a research or innovation-related career? o To what extent does the program increase a trainee’s preparedness to perform professional skills related to obtaining a job?To address the evaluation questions, we gathered data from surveys and student reflections. Thebaseline/post-survey assessed research skills (e.g., problem identification, hypothesisconstruction, research design, data analytics, products), socio skills (e.g., ethics, socioeconomicimplications, policy/regulatory challenges, dialogue), professional skills (e.g., leadership,teamwork, and management), communication skills (written, translational, and presentation),community