is your expected score for this course? 90-100 80-89 70-79 60-69 50-59 0-49As our research focuses on the cognitive perspective rather than programming ability, we do notcollect students’ real grades for this course. Instead, we ask for their expected score for thiscourse at mid and end of the term and match this perceived performance with their otherresponses. The data collection methodology has been approved by the Research Ethics Board(REB) at the University of Toronto.The first survey has a total of N = 83 responses, where 47 are industrial engineering students, 23are mechanical engineering students, and there are also 12 materials science engineering studentsand 1 chemical engineering student included in the responses. Due to the
areas of CAD, geometric and solid modeling, machining and CNC, engineering design and ethics, and machine design.Prof. Jill Davishahl, Western Washington University Jill Davishahl is Associate Professor and First Year Programs Director in the Engineering + Design department at Western Washington University. Jill’s teaching, service, and research activities focus on enhancing the first year student experience by providing the foundational technical skills, student engagement opportunities, and professional skill development necessary to improve success in the major. Her current research focuses on creating inclusive and equitable learning environments through the development and implementation of strategies geared
Paper ID #44133Engagement in Practice: Building Community Engagement into a First-yearDesign-Build-Test CourseDr. Katie Snyder, University of Michigan Dr. Snyder is a lecturer for the Program in Technical Communication at the University of Michigan. She teaches design, ethics, and technical communication as social justice to students in the College of Engineering.Prof. Aditi Verma, University of Michigan Aditi Verma (she/her) is an Assistant Professor in the Department of Nuclear Engineering and Radiological Sciences at the University of Michigan. Aditi is broadly interested in how fission and fusion technologies
, 2018, p. 44‒53.[21] 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.[22] 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.[23] National Academies of Sciences, Engineering, and Medicine, Infusing Advanced Manufacturing into Undergraduate Engineering Education. Washington, D.C.: National Academies Press, 2023, p. 26773. doi: 10.17226/26773.[24] K. M
research,including the scientific method and ethical conduct, and culminated in the development of aresearch proposal, enhancing students' research skills, and understanding. Bridge program co-curricular activities supplemented academic learning with personal and social developmentactivities. Small group formations led by residential peer mentors facilitated discussions onacademic and campus life topics. Additionally, extracurricular activities and speaker seriespresentations complement this holistic approach.First-Year LLC: PTG scholars, although initially not eligible for Honors College membership,were required to reside in the honors residence hall. This arrangement surrounded PTG scholarswith students who were serious about learning and
. Gabitova, A. Gupta, and T. Wood, “Innovations in science education: infusing social emotional principles into early STEM learning,” Cult. Stud. Sci. Educ., vol. 13, no. 4, pp. 889–903, Dec. 2018, doi: 10.1007/s11422-017-9826-0.[8] A. Y. Kim, G. M. Sinatra, and V. Seyranian, “Developing a STEM Identity Among Young Women: A Social Identity Perspective,” Rev. Educ. Res., vol. 88, no. 4, pp. 589–625, Aug. 2018, doi: 10.3102/0034654318779957.[9] M. M. A. De Graaf, “An Ethical Evaluation of Human–Robot Relationships,” Int. J. Soc. Robot., vol. 8, no. 4, pp. 589–598, Aug. 2016, doi: 10.1007/s12369-016-0368-5.
.References[1] ABET Accreditation Criteria https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2022-2023/ Accessed January 20, 2024[2] National Society of Professional Engineers (NSPE) https://www.nspe.org/ Accessed April 22, 2024[3] IEEE Code of Ethics https://www.ieee.org/about/corporate/governance/p7-8.html Accessed April 22, 2024[4] S. M. Lord, B. Przestrzelski, and E. Reddy, “Teaching social responsibility: A Conflict Minerals Module for an Electrical Circuits course,” Proceedings of the 2018 WEEF-GEDC Conference, Albuquerque, NM, November 2018. https://ieeexplore.ieee.org/document/8629755[5] S. M. Lord, B. Przestrzelski, and E. Reddy, “Teaching social
wants will be about coming up withthe right examples, the right training data, and the right ways to evaluate the training process” [9].On the other hand, these researchers think that ethics should become a more important aspect ofteaching computer science. Two studies mentioned potential bias in the data that led to inaccuratecoding. For example, ChatGPT was unable to generate accurate answers for an examinationspecific to the country of India. The authors suspect this is because ChatGPT training dataincludes less information about countries and contexts that are less represented on theinternet [4].My work departs from these studies summarized above because most of them were conducted incollege courses and not high school courses. Also, the
-engineering related problems using AI and ML. Italso discusses the importance of understanding the ethics of AI in engineering, expertise of AI, modelingphysics using AI, and differences between AI and traditional statistics. Finally, a paper describes a softwarepackage based on neural network and expert system technology that emulates the interview and evaluationprocess to measure the intellectual development of engineering students [10].This work-in-progress study sought to incorporate analysis of renewable energy and sustainabilityapplications using ML techniques. There, the objectives of this work-in-progress study are: 1. Develop and implement a project-based learning course to model and analyze renewable energy systems
PIs).The overall goal of our REU Site program is to motivate and retain talented undergraduates inSTEM careers, particularly careers focused on teaching and STEM education research. TheREU program is designed and implemented to promote three philosophies of work ethic thatare found to foster quality intellectual research leadership: individual, collaboration, andproject management leadership. This paper is submitted for poster presentation at the ASEE2024 conference to display a better understanding of participating students’ perceptions ofEED research before and after a 10-week REU participation. In addition, some demographicinformation gathered was factored into the data analysis to see if those variables bearinfluences on those perceptions
prepare for a rapid pace of change and an intrinsic lack ofpredictability in projects, challenges, and employment [1]. Engineering programs face challengesof high attrition, a lack of opportunity for students to transfer into programs, and, in many cases,pedagogies that have remained in place for decades.Successful engineering students should see curricula beyond a rigorous discipline-specific seriesof courses. The holistic engineering plan of study should include leadership, effective teaming,strong technical skills, and a focus on societal, ethical and environmental effects of engineeringdecisions. Students in such programs who build a strong ‘engineering identity’ are typically moresuccessful [2]. A strong engineering identity is tied to
Director and PI. With weekly assignments,the teachers are given timely milestones to make progress on their projects and to uncover anyissues that can be addressed quickly. Table 2 lists some of the workshop topics and activities. Inaddition, the teachers create and maintain their own webpage of their research journey with weeklyupdates.Table 2. Topics of the research “coffee session” workshops to guide the research projects Week 1: Research Proposal with timeline; Posing a research question; Defining research goals & objectives Week 2: Background literature reviews; Creating webpages to document research journey Week 3: Ethical and Responsible research; Elevator pitches; Creating research posters Week 4: Presenting data results; mid-summer
. Once data collection is completed and analyzed, the results andproducts of this 3-year experiment will advance a fundamental understanding of how STEM-oriented CVPs influence psychosocial and scholastic outcomes and, ultimately, persistence inSTEM.2. Research DesignTAMIU’s Institutional Review Board has approved our study protocol (IRB #2020-04-15). As partof our IRB protocol, we adhered to ethical standards by providing potential participants withdetailed information about our study. However, we were careful not to reveal the hypotheses orpredicted outcomes to maintain the integrity of the research. Once we obtained signed consentfrom participants (parental consent and participant assent, in the case of participants under 18 years1 As of this
training. Given the still overall positiveresponse UGTAs had to training, we acknowledge that this is an area of improvement for theworkshop series, reiterating for students that developing leadership skills requires ongoingpractice.Table 4. Example Responses about Challenges Faced by UGTAs Question Example Responses Approaching other TAs when they do or say things that are not What challenges have you in line with an GIDBEA mindset had practicing inclusive When others are not following certain GIDBEA ethics it can be leadership? How can we challenging to confront them. better support you (further
the expresspurpose of encouraging multidisciplinary research. However, we discovered after six months of meetingthat having a group be this broad, while beneficial for many who are highly interested in interdisciplinaryresearch, was not for everyone. Having a group whose purpose was to conduct research projectsspecifically for purposes of integrating disciplines was too vague. Water is a critical issue front of mind formost Texans. It is also a theme that connects many different types of expertise including biology,engineering, technology, data science, agriculture, environmental science, chemistry, policy, economics,communications, education, marketing, and ethics. We converted the group from a theme of“multidisciplinary” to “water”, which
influences from socializers mayinteract with students’ motivation to persist in STEM. Alternatively, future work couldexperiment with facilitating these interactions to improve motivation. Further empirical insightsthat unpack the dynamics of different socializer-interactions can build a deeper understanding ofthe impact of socializers to inform research and practice.References[1] J. P. Martin, D. R. Simmons, and S. L. Yu, “The Role of Social Capital in the Experiences of Hispanic Women Engineering Majors,” J. Eng. Educ., vol. 102, no. 2, pp. 227–243, 2013, doi: 10.1002/jee.20010.[2] National Science Foundation, “U.S. National Science Foundation 2022-2026 Strategic Plan,” 2022.[3] E. McGee and L. Bentley, “The equity ethic
significance of semantics: Person-first language: Why it matters,” Autistic Hoya, 2011.[8] L. Clouder, M. Karakus, A. Cinotti, M. V. Ferreyra, G. A. Fierros, and P. Rojo, “Neurodiversity in higher education: a narrative synthesis,” Higher Education, vol. 80, no. 4, pp. 757–778, Oct. 2020.[9] T. Armstrong, “The Myth of the Normal Brain: Embracing Neurodiversity,” AMA Journal f Ethics, vol. 17, no. 5, pp. 348–352, 2015.[10] J. den Houting, “Neurodiversity: An insider’s perspective,” Autism, vol. 23, no. 2, pp. 271–273, Feb. 2019.[11] N. Walker, Neuroqueer Heresies: Notes on the Neurodiversity Paradigm, Autistic Empowerment, and Postnormal Possibilities. Autonomous Press, 2021.[12] S. Beart, “‘I won’t think of meself as a learning
Paper ID #42543WIP: Using ePortfolios to Enable Life Project Mentoring Among First-YearEngineering StudentsDr. Constanza Miranda, Johns Hopkins University Constanza is a multidisciplinary academic interested in the intersection between the creativity of design, the ethics of cultural anthropology and the tech aspects of engineering. She is the Assistant Dean for Undergraduate Mentoring for the School of Engineering, and faculty in the Biomedical Engineering Department at the Johns Hopkins University in Baltimore. She holds a PhD in Design with a focus in anthropology from NC State University and was a Fulbright grantee
(304),Electrical Engineering Tech (54), Mechanical Engineering (808), and Unspecified (4).A total of 736 students chose "teamwork/collaboration in diverse settings" as their first preferencefor the professional skill they wanted to develop through the co-op program, and 924 studentsselected it as their second preference. Figure 1 displays the distribution of professional skillsstudents choose for development during co-op experience. Notably, a small proportion of studentslisted ethical decision-making as a prioritized skill to develop, instead opting for critical thinkingand communication – followed by teamwork and innovation. The distribution of choices for thesecond prioritized skill was much flatter. Across these two choices, 39% of
Arkansas Dr. Heath Schluterman is a Teaching Associate Professor and the Coordinator for the First-Year Engineering Program at the University of Arkansas. Dr. Schluterman completed his B.S. and Ph.D in Chemical Engineering at the University of ArkansasMs. Gretchen Scroggin, University of ArkansasLatisha Puckett, University of Arkansas ©American Society for Engineering Education, 2024WIP: The Missing Link? Providing Honors Students a Self-Paced Assignment That Fits Their NeedsIntroductionThe University of Arkansas hosts a robust, multidisciplinary Honors College with the mission toprepare students to be leaders with intellectual, economic, cultural, and ethical impact in thewidest
importance of mitigating designer biases. Objective 1 was achieved by anchoring thecourse in the human centered design and universal design frameworks. Objective 2 was achievedthrough diverse perspectives in the guest speaker and prep materials chosen, frequent immersiveactivities on exclusion in design, and many opportunities for student-led course discussions.The topics presented in this course, as detailed in Table 1, were centered in mechanicalengineering design due to the nature of the elective. However, there was an intentional emphasisto discuss relevant social issues in the context of engineering. Module 9 was focused onalgorithmic bias. The responsibility to ethically and equitably designing human-machineinteractions [21], facial
any.Analysis of the data would yield an informative conclusion of effects of the AI intervention inengagement and learning.AcknowledgementThis research was supported by the National Science Foundation’s Innovative TechnologyExperiences for Students and Teachers (ITEST) program under award numbers DRL–1949384and DRL–1949493.References[1]Association for the Advancement of Artificial Intelligence, and Computer Science TeachersAssociation, “Advisory Group Promotes ‘5 Big Ideas in AI’ for K-12 Schools”, June 7, 2023.[Online]. Available: http://ai4k12.org/ Accessed Dec. 26, 2023].[2] H. Zhang, I. Lee, S. Ali, D. DiPaola, Y. Cheng, and C. Breazeal, “Integrating Ethics andCareer Futures with Technical Learning to Promote AI Literacy for Middle School Students
: The Role of Peer Influence in Robotics Engineering Activity. The Journal of the Learning Sciences, 23(4), 490–536. http://www.jstor.org/stable/43828355McGowan, V. C., & Bell, P. (2020). Engineering Education as the Development of Critical Sociotechnical Literacy. Science & Education, 29(4), 981–1005.Philip, T. M., Gupta, A., Elby, A., & Turpen, C. (2018). Why ideology matters for learning: A case of ideological convergence in an engineering ethics classroom discussion on drone warfare. Journal of the Learning Sciences, 27(2), 183-223.Radoff, J., Abdurrahman, F., Turpen, C., Tomblin, D., Agrawal, A., Chen, D., & Chudamani, S. (2022, August). Examining the “narrow” and “expansive” socio
AI courses (Discover AI, AI Ethics, and AI for Business)[10], [11]. This qualitative technique aims to explore the meanings and interpretations that the students make of their experiences, and to observe common themes across the participants allows us to capture the “essence” of the phenomenon [12]. Data collection was through pre-interview questionnaires and semi-structured interviews lasting approximately 60 minutes with each of the 19 participants. Interview transcripts were read several times and key portions of each were coded for meaningful units. Memos were created to summarize key points of each interview in order to ease comparison of common essences and to organize demographic
in aggregateto the Penn State research team as long as the groups were large enough to remain unidentifiablein order to support ethical validity of this work. We feel that having our research partners atClemson send out invitations to the survey helped boost the response rate significantly, and weachieved a 75% response rate from our faculty.Regarding the growth mindset statements (restated below) results show that faculty somewhatdisagree with (1), are neutral/somewhat disagree with (2), and disagree with (3). There is a largestandard deviation with these responses, especially for (2). Although faculty believe, on average,that all students can learn chemical engineering, faculty feel that some inherent intelligence orskill is needed
/dhe0000115.[7] I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, vol. 50, no. 2, pp. 179–211, Dec. 1991, doi: 10.1016/0749-5978(91)90020-T.[8] B. Latané and J. M. Darley, The Unresponsive Bystander: Why Doesn’t He Help? New York, NY: Appleton-Century Crofts., 1970.[9] T. S. Harding, M. J. Mayhew, C. J. Finelli, and D. D. Carpenter, “The Theory of Planned Behavior as a Model of Academic Dishonesty in Engineering and Humanities Undergraduates,” Ethics & Behavior, vol. 17, no. 3, pp. 255–279, Sep. 2007, doi: 10.1080/10508420701519239.[10] M. E. Matters, C. B. Zoltowski, A. O. Brightman, and P. M. Buzzanell, “An Engineering Faculty and an Intention to Make Change for Diversity and
Division (EPPD); Engineering Ethics Division; Equity, Culture,and Social Justice in Education (ECSJ); Liberal Education/Engineering and Society Division(LEES); Minorities in Engineering Division (MIND); and Women in Engineering Division(WIED)]. Participants received information detailing the purpose, informed consent form, andsurvey link. A total of 212 participants completed the survey. Fifty-eight incomplete responses(i.e., completed less than 75%) were removed, and the remaining 154 responses were analyzed.Closed-ended data were processed using SPSS, and open-ended responses were coded in Excel.Quantitative analysis included obtaining frequencies and the disaggregation of data based onrespondent demographic information. Open-ended responses
, and ethic that harmonizes the heretofore conflicting elements of fairness, prosperity, and ecological survival.”[11]ConclusionBecause the employment needs of a city are best known by the local inhabitants, the ways to meetthese needs ought to be left to the local inhabitants to choose and implement. The use of a systemsanalysis approach will allow these urbanites to select and develop highly successful localmicroenterprises based on appropriate technology principles. With the population of many citiesgrowing at a tremendous rate, it is essential for these types of models for economic growth to bedeveloped and implemented to solve local problems in a way that reduces the logistics andtransportation requirements of the city. The long
access by zip code – looking at which cities/states provided access to key gateway courses that are often required to enter engineering programs (high school physics, calculus, AP courses, etc.) • The use of AI in police surveillance, with a heated discussion on the interest in campus police pursuing this on our own campusIn all of these examples, students then had to take the further step of looking at methods forengineers to do better. They had to propose methods to increase STEM access in schools, how theASEE code of ethics requires us to challenge the NIMBY arguments (Not In My Back Yard) thatprivilege rich white neighborhoods, and what should be done to improve technology in policesurveillance. These examples were
represents engineering and technical skills, economic feasibility, ethical considerations, andcultural sensitivity, which can be considered when studying potential solutions [3]. "The Village of Yakutia has about 50,000 people. Its harsh winters and remote location make heating a living space very expensive. The rising price of fossil fuels has been reflected in the heating expenses of Yakutia residents. In fact, many residents are unable to afford heat for the entire winter (5 months). A Northeastern Federal University study shows that 38% of village residents have gone without heat for at least 30 winter days in the last 24 months. Last year, 27 Yakutia deaths were attributed to unheated homes. Most died from