learning. The overview of cave setting isillustrated in Error! Reference source not found.. Figure 3. The CAVE learning setting.Data Collection After obtaining approval from the institutional review board (IRB), ethical protocols werefollowed, securing written consent from each participant through their endorsement of aninformed consent form. By implementing this process, participants were able to make informeddecisions about their participation, emphasizing their right to withdraw at any time. CT scaleswere then administered to students prior to exposure to the CAVE at the beginning of thesemester. Following the CAVE exposure, focus group interviews and non-participant directclassroom observation provided
Research in Rural Education, vol. 26, 2011.[8] D. Urquidi, “Exploring the Pathway of Rural Students into the Engineering Field.,” Teachers College Record, vol. 115, no. 10, p. 100305, 2019.[9] D. Boykin, “Pennsylvania Engineering Professors Mix Creativity with Ethics Education,” PE Magazine: The Magazine for Professional Engineers, p. 10, Dec. 2015.[10] M. Milligan, “Engineering a Better World Through Diversity, Equity and Inclusion,” ABET. Accessed: Feb. 05, 2024. [Online]. Available: https://www.abet.org/engineering-a- better-world-through-diversity-equity-and-inclusion/[11] Engineering for sustainable development: delivering on the Sustainable Development Goals. UNESCO, International Centre for Engineering Education, 2021
training. Other presentations included an eclectic mix of ethics training,interpretation of artistic images (one of the student’s favorite discussions), and giving betterpresentation. The students especially enjoyed discussion topics that were much different thannormal engineering classes. There was typically above average student participation in theseclasses.c. industrial internshipIndustrial internships can be a vital part of a student’s education. One of the main goals of theprogram was to strongly prepare students to compete for engineering internship opportunities.Students noted that the resume critiques, mock interviews, and discussions with hiring managersgave them extensive preparation. Unfortunately, the COVID-19 epidemic significantly
, and P. A. Ralston, “Why Engineering?: Students’ reasons forchoosing an engineering major,” 2017 ASEE Annual Conference, Columbus, OH.[22] M. K. Watson, S. T. Ghanat, D. Michalaka, K. Bower, and R. W. Welch, “Why DoStudents Choose Engineering? Implications for First-Year Engineering Education,” 7th FirstYear Engineering Experience Conference, August 3-4, 2015, Roanoke, VA.[23] G. A. Rulifson, A. R. Bielefeldt, and W. Thomas, “Understanding of Social Responsibilityby First Year Engineering Students: Ethical Foundations and Courses,” 2014 ASEE AnnualConference, Indianapolis, IN.[24] A. R. Bielefeldt, “Disengaged or Disappearing? Losing the most Socially MotivatedStudents from Engineering?” 2017 ASEE Annual Conference, Columbus, OH.[25] E. H
, A., Blythe, J., & Neville, A. J. (2014). The use of triangulation in qualitative research. Oncology Nursing Forum, 41(5), 545-547. https://doi.org/10.1188/14.ONF.545-547Case, J. M., & Light, G. (2011). Emerging research methodologies in engineering education research. Journal of Engineering Education, 100(1), 186-210. https://doi.org/10.1002/j.2168-9830.2011.tb00008.xDerry, S. J., Pea, R. D., Barron, B., Engle, R. A., Erickson, F., Goldman, R., ... & Sherin, B. L. (2010). Conducting video research in the learning sciences: Guidance on selection, analysis, technology, and ethics. Journal of the Learning Sciences, 19(1), 3-53. https://doi.org/10.1080/10508400903452884Ellis, A
remains critical. The constraints of current GenAI models 2 This protocol paper hasn’t included any result analysis. We plan to publish the raw data and analyzed results infuture publications.need careful assessment before wide deployment. There are outstanding questions surroundingoptimizing these tools to avoid harm, embed ethical principles, and promote equitable access thatrequire further research.Beyond the primary outcomes, our trial will also attempt to uncover insights into how studentsinteract with GenAI tools compared to standard materials. Analyzing usage patterns, queries,focus from eye tracking information, and qualitative feedback will reveal opportunities to optimizethese systems for even greater effectiveness. Our findings
. Minichiello and A. Iqbal, "Perceived Factors Contributing to the SubjectiveWellbeing of Undergraduate Engineering Students: An Exploratory Study," International Journal ofEnvironmental Research and Public Health, vol. 19, (23), 2022. DOI: 10.3390/ijerph192316284.[3] D. Kim and B. K. Jesiek, "Work-in-Progress: Emotion and Intuition in Engineering Students’ EthicalDecision Making and Implications for Engineering Ethics Education," 2019. DOI: 10.18260/1-2--33666.[4] N. N. Kellam et al, "Uncovering the role of emotion in engineering education within an integratedcurricular experience," in 2011 ASEE Annual Conference & Exposition, 2011.[5] L. F. Barrett, "The theory of constructed emotion: an active inference account of interoceptionand categorization
International handbook of the learning sciences, F. Fischer, C. E. Hmelo-Silver, S. R. Goldman, and P. Reimann, Eds., New York London: Routledge, Taylor & Francis Group, 2018, p. 44‒53.[44] R. Curry, “Insights from a cultural-historical HE library makerspace case study on the potential for academic libraries to lead on supporting ethical-making underpinned by ‘critical material literacy,’” J. Librariansh. Inf. Sci., vol. 55, no. 3, pp. 763–781, Sep. 2023, doi: 10.1177/09610006221104796.[45] J. Johannessen and B. Olsen, “Aspects of a cybernetic theory of tacit knowledge and innovation,” Kybernetes, vol. 40, no. 1/2, pp. 141–165, Mar. 2011, doi: 10.1108/03684921111117979.[46] National Academies of Sciences, Engineering
locations in the middle of the span. In actualpractice, mechanical engineers are more likely to design machines which are not strictlycomposed of two-force members and have non-obvious failure locations. There is therefore aneed to provide students in Statics with learning experiences that allow for open-ended,conceptual (rather than procedural) approaches to problem-solving.Effective Problem-Solving Approaches in EngineeringSupporting and improving students’ analytical and problem-solving skills is critical forproducing engineering graduates who can generate technological solutions that are safe, ethical,and meet the needs of end users [10]. As a fundamental engineering course, Statics requiresstudents to develop and use disciplinary analytical
Paper ID #44504Toward an Integrated Framework of Empathy for Users among EngineeringStudent DesignersDr. Nicholas D. Fila, Iowa State University of Science and Technology Nicholas D. Fila is an assistant teaching professor in the Department of Electrical and Computer Engineering at Iowa State University. He earned a B.S. in Electrical Engineering and a M.S. in Electrical and Computer Engineering from the University of Illinois-Urbana-Champaign and a Ph.D. in Engineering Education from Purdue University. His research interests include empathy, ethics, design thinking, and course design.Dr. Justin L. Hess, Purdue University
learning, 5. providing mentorship, not supervising, as students choose objectives, methods, and testing and assessment process of their project, 6. enabling students to reflect on what they learned from their projects and how these projects relate to the real world through survey and open discussions, 7. having consistent follow-up through scaffolded PBL assignments, as well as providing formative feedback for improvement, and 8. making project prepared and presented for external audience to motivate student accomplishment [16].Although PBL activities have been employed in courses to help students quickly learn newconcepts as well as prepare students with skills such as leadership, team building, ethical
Skills Skills Use knowledge of Identify and apply Identify and apply Consider design Lead, support, and Lead, support, andOverview of HCED to empathic processes iterative processes to problem and solution participate in participate in effectiveProgression synthesize to advance a design advance a design through ethical, effective collaboration with working definition problem (e.g., problem cultural, social, communication with diverse groups. empathic design; (physically, digitally
Developing Hands-on Competency in Generative AI with Ethical Considerations,” in ASEE Annual Conference & Exposition 2024.[38] Ryan Chan. “Closed Loop System in Technical Training – How to Initiate and Maintain a Student-Led Makerspace,” Proceedings of the international symposium on academic makerspaces (ISAM). Pittsburgh, PA. 2023.[39] Natalie Chan. “Scaling Up Student Tutor Programs in Academic Makerspaces: Best Practices and Challenges,” Proceedings of the international symposium on academic makerspaces (ISAM). Pittsburgh, PA. 2023.[40] Natalie Chan, Chun Kit Chui. “Embrace Diversity and Inclusion in Academic Makerspaces with a Network of Tutors (Work in progress),” in ASEE Annual Conference & Exposition 2024.[41] Match WL
math have been empirically provenbeneficial [7]. Additionally, intervention or implementation of social determinants of health, suchas education, socioeconomics, community, and health care have substantive value in fosteringenvironments facilitating a student’s work ethic and retention.Females enrolled in STEM programs, particularly electrical engineering, often do not completethe program. The sense of unbelonging in electrical engineering is more prevalent amongunderrepresented groups. These students change programs during the second or third semestersafter enrollment [8-9]. Academic and workplace environments in engineering are not alwayswelcoming to female counterparts, leaving females with a sense of unbelonging [10-11]. Withpaucity of
experiences, including study, research, internships, and service learning.Dr. Elliot P. Douglas, University of Florida Elliot P. Douglas is Professor of Environmental Engineering Sciences and Engineering Education, and Distinguished Teaching Scholar at the University of Florida. His research interests are in engineering problem solving, diversity and inclusion, and social justice for engineering ethics. ©American Society for Engineering Education, 2024 WIP: Understanding Experiences of Engineering Students on Faculty-Led Internship Abroad ProgramAbstractIn recent years, engineering colleges in the United States have
. Eng. Ethics, vol. 26, no. 1, pp. 275–292, Feb. 2020, doi: 10.1007/s11948-019-00097-0.[5] L. Bresler, “Out of the trenches: The joys (and risks) of cross-disciplinary collaborations,” Bull. Counc. Res. Music Educ., pp. 17–39, 2002.[6] E. O. McGee et al., Diversifying STEM - Multidisciplinary Perspectives on Race and Gender. Rutgers University Press, 2019. Accessed: Apr. 30, 2024. [Online]. Available: https://www.rutgersuniversitypress.org/diversifying-stem/9781978805675/[7] E. M. Brodin and H. Avery, “Cross-disciplinary collaboration and scholarly independence in multidisciplinary learning environments at doctoral level and beyond,” Minerva, vol. 58, no. 3, pp. 409–433, 2020.[8] A. Shivers-McNair, L. Gonzales, and T
Creativity, 41, 100888.[5] M. L. How, S. M. Cheah, Y. J. Chan, A. C. Khor, and E. M. P. Say, "Artificial Intelligence for Advancing Sustainable Development Goals (SDGs): An Inclusive Democratized Low-Code Approach," in The Ethics of Artificial Intelligence for the Sustainable Development Goals, pp. 145-165, Cham, Springer International Publishing, 2023.[6] J. Metrôlho, F. Ribeiro, P. Graça, A. Mourato, D. Figueiredo, and H. Vilarinho, "Aligning Software Engineering Teaching Strategies and Practices with Industrial Needs," Computation, vol. 10, p. 129, 2022.[7] Avishahar-Zeira and D. H. Lorenz, "Could No-Code Be Code? Toward a No-Code Programming Language for Citizen Developers," in Proceedings of the 2023 ACM SIGPLAN International
coursework. Thereare strong arguments on both sides of this debate. Some believe that the use of artificial intelligenceto complete coursework is an academic integrity violation and should not be used, while othersbelieve artificial intelligence can be used ethically and within academic integrity standards to be aresource for students. And of course, there are academics that stand somewhere in between. Thelack of clarity on the use of AI in the classroom and the disjointed opinions among professors, evenwithin the same college or university, has led to confusion among students on whether ChatGPT istaboo or a powerful tool. To try and understand whether students that are majoring in ArchitecturalEngineering should be introduced to AI Chatbots, a
this week capturing at least five photos that you feel best capture yourexperiences and some of the challenges you may face participating in an REU for the first time.You can find some guiding questions below to help you: ● What are your experiences and some of the challenges you may face participating in an REU? ● How has your participation in this program changed your view on computer science/computing? ● How has your participation in this program affected your life?Each photo should have a unique title and caption. The caption should be no more than a few sentences.Keep in mind some of the technical and ethical considerations we discussed in the introduction.Step 2: Turn in pictures.Initial photo submissions are due by [due date
department andSchool of Engineering, and learn about engineering ethics and environmental justice. Thesubsequent two months of class time are used for students to work on their design projects,including group deliverables and presentations. In the final two weeks of the course, studentsdeliver individual presentations on the civil engineering/construction management major or field.Socio-technical design challengesThe course was structured as two group-based design challenges that each took one month tocomplete. Each challenge was structured in a series of deliverables that were worked on as ateam to address research of the problem, design and test of a proposed solution, stakeholder andcustomer analysis, proposal of design solution that integrated
without a license’,” PRISM, vol. 24, no. 1, p.10, 2014.[20] S.L.Titus and J.M. Ballou, “Faculty members’ perceptions of advising versus mentoring: Does the name matter?” Sci. Eng. Ethics, vol. 19, no 3, p.1267–1281, 2013.[21] B. J. Barnes and A. E. Austin, “The role of doctoral advisors: A look at advising from the advisor’s perspective,” Innovative Higher Ed., vol. 33, no. 5, pp. 297–315, 2009.[22] A. Lee, “How are doctoral students supervised? Concepts of doctoral research supervision,” Studies in Higher Ed., vol. 3, no. 3, pp. 267–281, 2008.[23] B. A. Burt, “Toward a theory of engineering professorial intentions: The role of research group experiences,” Am. Ed. Res. J., vol. 56, no. 2, pp. 289–332, 2019
filter and clean data, facilitating numerical comparisons of theLikert scale. Data analysis involves employing specific procedures for the establishedquestionnaires, with Pearson's correlation coefficient applied to the section developed in theresearch. The data are exported to statistical software for analysis. Quality of Research: Theresearch's quality is buttressed by the validity of the instrument, evaluated through expertjudgment, and reliability assessed by Cronbach's alpha coefficient. The instrument's reliability isset at a high level (0.887), indicating internal consistency. Despite adhering to ethical protocols,the study's limitations include the potential for bias in participants' responses and the limitedgeneralizability of results
, terminal blocks, and a circuit breaker. 2) PLC networking and ladder logic programming of the PLC via the CLICK Programming Software and the investigation of the security features in the CLICK Programming Software, including default credentials, password policies, and firmware CVEs. 3) Installation of open-source tools for the Modbus protocol and penetration testing on a Kali Linux virtual machine, as well as network simulation configuration with the Kali Linux machine, laptop with the CLICK Programming Software, and the PLC for the ethical hacking simulation. 4) Using the security open-source tools on the Kali Linux machine to perform scanning, reconnaissance, and Modbus and Ethernet/IP-based injection attacks
• Impact of a product lifecycle tool on design solutions • How to have a mindset for sustainability • Ethical considerations Module 2 – Introduction to Industry 4.0 & • History of major industrial revolutions Technologies • What is Industry 4.0 and remaining challenges from Industry 3.0 • Top technologies that comprise Industry 4.0 and examples of how they are used in the
,” Internet Things Cyber-Phys. Syst., vol. 4, pp. 19–23, Jan. 2024, doi: 10.1016/j.iotcps.2023.06.002.[6] P. P. Ray, “ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope,” Internet Things Cyber-Phys. Syst., vol. 3, pp. 121–154, Jan. 2023, doi: 10.1016/j.iotcps.2023.04.003.[7] “The Perception by University Students of the Use of ChatGPT in Education - ProQuest.” Accessed: Mar. 24, 2024. [Online]. Available: https://www.proquest.com/docview/2871836873?pq-origsite=gscholar&fromopenview=tru e&sourcetype=Scholarly%20Journals[8] G. Kiryakova and N. Angelova, “ChatGPT—A Challenging Tool for the University Professors in Their Teaching Practice,” Educ. Sci
’ experiences in STEM education: An ecological systems approach,” Career Development Quarterly, vol. 65, no. 3, pp. 192–206, 2017, doi: 10.1002/cdq.12092.[23] E. K. Jeronen, J. Ylä-Mella, M. Huuhtanen, E. Jeronen, and R. L. Keiski, “Ethical Conceptions of Undergraduate Students on Research and Acting as a Researcher-A Case Study in Process and Environmental Engineering Education,” 2004, doi: 10.13140/2.1.3614.4009.[24] A. Swan, “Experiential and contextual factors that shape engineering interest and educational decision-making processes among female students,” NASPA Journal About Women in Higher Education, vol. 8, no. 1, pp. 82–100, 2015, doi: 10.1080/19407882.2014.987087.[25] A. K. Swan, “Exploring
organizational development in the collegiate and professional sphere, and diverse representation in STEM fields. With a background in public policy, he takes his ethical stances into conversations around tough issues to make sure all voices are included. In his professional life, Carr has convened numerous diversity leadership forums in STEM education – bringing together over 100 deans and diversity administrators to talk about underrepresented students persistence, diverse faculty recruitment, and creating inclusive campus climates. Carr has also been a champion for access to opportunities for those from historically oppressed groups. He worked to see outreach efforts exponentially expand to Historically Black Colleges and
females and 5 were males. Additionally, 6 were White, and 1 wasAsian. Some relevant comments from the focus group discussion are presented in this paperas well. It is important to mention that we secured ethical clearance through our IRB office(IRB # 22-379). Quantitative data were analyzed using descriptive statistics, and some of theresponses were analyzed by different variables to see if there were any importantdifferences to show between participants. Qualitative focus group data was analyzed bymemoing and coding strategies. Demographic and company-related data are presented next. First, we classified results based on gender and race, demographic data is shown inFigures 1 and 2. About gender diversity (Fig. 1), 75% identified
. In M. A. Moodian (Ed.), Contemporary leadership and interculturalcompetence: Exploring the cross-cultural dynamics within organizations (pp. 219-232).Hammer, M. R., Bennett, M.J., & Wiseman, R. (2003). Measuring intercultural sensitivity: Theintercultural development inventory. International Journal of Intercultural Relations, 27(4).Hammer, M. R. (2015). Intercultural competence development. In J. M. Bennett (Ed.), TheSAGE encyclopedia of intercultural competence. Thousand Oaks, CA: SAGE Publishing, Inc,pp 483-486.Hargman, E, Morris, C & Blache-Cohen, B. (2014). Fair Trade Learning: Ethical standards forcommunity-engaged international volunteer tourism. Tourism and Hospitality Research, 14(1–2),108–116. https://doi.org/10.1177
, creativity, structural engineering, science, and mathematics analysis, data modeling, 2. an ability to apply engineering design to produce problem solving, industry solutions that meet specified needs with consideration of skills, creativity, attention to public health, safety, and welfare, as well as global, detail cultural, social, environmental, and economic factors 3. an ability to communicate effectively with a range of communications audiences 4. an ability to recognize ethical and