. The linking of the CS1 problem-solving course in an LC withEG1 further integrates narrative elements into computer problem-solving courses; thisintegration should result in improved and more transferable computer problem-solving skills.2.3 Introduction to Computer Systems (CS0)In this foundational course for Computer Systems, students engage in an overall inspection of theworld of computing. As part of this course, students also learn introductory concepts related to theinner workings of the computer, such as operating systems, networks, and database systems. Thisoverview of machine architecture, software development, data organization, ethics, computersecurity, and the theory of computing is presented to introduce students to the key threads
intentions to persist in male-dominated fields, such as engineering. 5 However, women who have had internships or otherforms of engineering-related employment tend to be less likely to perceive conflicts betweencareer and family, which can influence their decisions to persist in engineering.16Professional Development and SocializationStudents’ socialization or learning about the professional culture within engineeringorganizations can contribute to their professional development.17 Just as important is learninghow to function within an organization.15 Researchers argue that internships and co-ops providestudents with organizational and cultural experiences that facilitate mastery of communicationskills, professional ethics, and collaboration.17-19
choosewhich topic was most interesting and join the team. Timing was such that the first item (theAgreement of Cooperation19) was due at the end of the first week of class so that the teams werestarted quickly with a clear, immediately milestone. Feedback was given on these agreements sothat students had all discussed how to deal with conflict, differing work ethic, and how to bestrespect each other’s ideas. The schedule and plan of progress reports were outlined in thesyllabus on the first day of class for the students. The progress reports were: • Team’s Agreement of Cooperation: Outline goals and guidelines of group participation. • Progress Report 1: Introductory description of proposed, novel analytical
thought in ModerateInnovative Thinking imaginative and creative waysGE-6 Assessing and weighing of moral and political beliefs and MinimalEthical Reasoning practices, and their applications to ethical dilemmasGE-7 Locating, evaluating, citing, and effectively using ModerateInformation Literacy informationGE-8 Applying mathematical, statistical, and symbolic reasoning StrongQuantitative Literacy and Symbolic to complex problems and decision makingReasoningTable IV represents the connections made to the 3 area-specific learning objectives. Area
. Lelli Van Den Einde, University of California, San Diego Lelli Van Den Einde is a faculty lecturer (LPSOE) in the Department of Structural Engineering at UC San Diego’s Jacobs School of Engineering. Dr. Van Den Einde’s interest in teaching has influenced her current research efforts towards improving engineering education pedagogy through the use of technology in the classroom. She is involved in promoting academic integrity as a way to prepare our students to be ethical practicing engineers, and is the chair of the External Advisory Committee for the IDEA center, which promotes inclusion, diversity, excellence and advancement in engineering. She has conducted research in performance-based earthquake engineering and
by improving social interactions and personalized learning. Italso discusses the limitations of existing AI tools, emphasizing the need for future developmentsto focus on personalization to cater to individual learning needs more effectively while takingprivacy and ethical considerations into account.Rather than focusing purely on NDDs, Bhatti et al. [17] analyzed diverse applications of AItechnologies aimed at assisting students with not only dyslexia and dyscalculia but also a widerspectrum of learning disabilities. Similar to the review by Barua et al., this study also examinedliterature involving facial expressions and eye-tracking analysis to monitor students’engagement. The authors highlight the potential of AI to provide personalized
additional questions thatprompt questions aimed to explore individual experiences and capture nuanced recruitmentexperiences.The study's protocol was submitted for Institutional Review Board (IRB) review and was exemptfrom full review. To ensure the confidentiality of all participants in this study, the researchersexplained the interview's purpose and format, obtaining consent for recording, and consent toparticipate in the study. Moreover, a direct line of contact information was provided forfollow-up inquiries, and participants were given the verbal option to omit or add any informationwithin two months from the start of the interview. Adhering to ethical standards and privacylaws, all participants were fully informed about the terms of their
ChemE educators seekinnovative ways to engage and retain students, interventions like PORPs offer valuable insightsinto how contextualized learning can shape students’ perceptions of the field and their futurecareer prospects.Institutional Review Board ConsiderationsThis study, titled “Impact of People-Oriented Recitation Problems,” was reviewed anddetermined to be exempt under the 2018 Common Rule 45 CFR 46.104.d by the CarnegieMellon University Review Board (IRB). The exemption was granted on August 26, 2024, undercategories (1) educational settings and (2)(i)-(iii) tests, surveys, interviews, or observation.Limited IRB review was conducted where necessary, ensuring compliance with ethical researchstandards. The study's IRB determination is
that its main beneficiaries are “vulnerable communities that can be rural, urban ormixed, and face social, environmental and economic problems.”[39] The main objective of theecosystem is to “generate transformations in the quality of life of vulnerable communitiesthrough collaboration between diverse actors (academic, private, social, etc.) and the applicationof engineering following frameworks of social justice, equity and sustainability, and the socialappropriation of knowledge as a bridge between technical solutions and community needs.” [39]The fundamental principles of the landscape are:o Respect for the diversity of knowledge and dialogue of knowledge.o Empathy, professional ethics and cooperation.o Co-creation: collaborative solutions
liaisons to onboard them to the project, checked in regularly, and provided opportunitiesfor survey instrument feedback. Several campuses experienced shutdowns and disturbances due to protests during thefour-week period the survey was open. During those periods of heightened institutional response,survey release dates were staggered. Each campus was offered an equal number of days tocomplete the survey.3. Participants and procedures This study followed ethical procedures approved by the Institutional Review Boards atUniversity of California, Santa Cruz, where data was collected and housed (HS-FY2024-218),and the University of California, Los Angeles (IRB#24-000478). The fully anonymous surveywas open to self-identified women graduate
thedocument if one focuses on the research and scientific skills of statistical analysis, creativity andinnovation, ethical research, and technical skills (Figure 1). Figure 1: An example of how to write an IDP for research and scientific skills, taken from the Purdue University College of Engineering Individual Development PlanThe third step is for the student to meet with their PhD advisor to discuss the IDP and identifyguidelines for their relationship. Brief paragraphs are included for what makes a good researchmentor and mentee to remind each party about honesty, communication, and mutual respect(Figure 2). During this meeting, the student and advisor should answer each of the seven sets ofquestions to
’ effects, a convergent parallel mixed methods research design 3was employed based upon Lent and colleagues’ Social Cognitive Career Theory [24]. Theguiding research questions were: • RQ1: What effect does program participation have on math proficiency, as indicated by mastery of the algebra I benchmark skills targeted? • RQ2: What effect does BOAST have on students’ math self-efficacy? • RQ3: What effect does BOAST have on students’ STEM choice goals? • RQ4: What are the effects of math self-efficacy on change in STEM career goals?3 Randomization of students and schools was infeasible, due to school leaders’ ethical concerns about encouragingstudents to apply to the program without knowing ahead of time what
“strongly agree,” which eventually helped in measuring teachers’ attitudes in the role of being computer science teachers.Lastly, the survey incorporated items from Teachers’ Self-Efficacy in Computational Thinking(TSECT), which is meant to capture a sense of students’ self-efficacy in utilizing programmingand Computational Thinking [4]. All of these instruments were put together to providea comprehensive evaluation of the impact of the teacher training program in expandingComputer Science Education.3.4 Ethical ConsiderationsParticipants in the study were informed prior to the commencement of the program aboutthe purpose of the study, what it entails and their right to opt out at any time.Identifiable information was collected for the purpose of
of McCourt School of Public Policy at Georgetown University, Washington, DC. She is involved in projects in the intersection of education, data mining, machine learning, ethics, and fairness. Her research interests include data mining, recommender systems, predictive models within educational contexts, and the fairness concerns that arise from their use. Her goal is to help students succeed using data and machine learning models.Dr. Peter J Clarke, Florida International University Peter J. Clarke received his B.Sc. degree in Computer Science and Mathematics from the University of the West Indies (Cave Hill) in 1987, M.S. degree from SUNY Binghamton University in 1996 and Ph.D. in Computer Science from Clemson
: Engineering Design: Problem Framing, Project Management, Ideation, Engineering Prototyping, Decision Making, Design Methods, Engineering Graphics, Design Practices Communication Material Processing: Manufacturing, Management & Precision, Fabrication, Classification, Casting, Molding & Forming, Separating & Machining, Joining, Conditioning & Finishing, Safety Quantitative Analysis: Computational Thinking, Data Collection, Analysis & Communication, System Analytics, Modeling & Simulation Professionalism: Ethics, Workplace Behavior & Operations, Intellectual Property, Technological Impacts, Role
Paper ID #46517How Microelectronics and Microcontrollers are Integrated into First-yearand Sophomores Engineering Programs.Udeme Idem, Purdue University at West Lafayette (COE) Udeme Idem is a PhD student and graduate research assistant at the School of Engineering Education at Purdue University, West Lafayette. She received her B. Eng from Federal University Oye-Ekiti in Electrical and Electronics Engineering. She has 13 years of industry experience as a Reliability Engineer (Electrical) in the manufacturing Industry. Her research interests involve advancing ethics, empathy, and policies in engineering education
Paper ID #47634Illustrating Meritocracy: (How) Do Canadian Engineers See Social Structure?Ms. Saskia van Beers, University of Toronto Saskia van Beers (she/her) is a current MASc. student studying engineering education under the supervision of Dr. Cindy Rottmann. Her research interests include engineering culture, cultural reproduction and transformation, and structural inequity within engineering.Dr. Cindy Rottmann, University of Toronto Cindy Rottmann is an Assistant Professor of Engineering Leadership Education at the University of Toronto. Her research interests include engineering leadership, ethics, and equity in the
required an assumption, design choice or information gathering.Successive assignments contained increasing levels of ambiguity related to the sub-system, andthe final project was open-ended, affording teams latitude in design choices of sub-systems andthe system as a whole.Students were expected to consider broader implications of their project, including socio-economic, ethical, geographic and environmental issues. All teams needed to include a sectionon the broader context of their work as part of their final project report.Using valid assumptions and determining if the scale and scope of the proposed solution wasreasonable was also an ongoing topic of discussion amongst teams and during open office hours.Students were able to compare their
work together. It is unclear if these students, the majority of whom areGeneration Z, tend to think of themselves as self-reliant or if the COVID-19 pandemiclockdowns have made lasting effects of isolationism in their work ethics. Another possibleexplanation comes from students lacking confidence in the advice or feedback from peers, as onecomment stated (Q18).3.3 Perceived Design and CAD Skills and Students’ Benefits After Design ReviewMore than half of the students agreed with the statement that they had strong CAD and designskills coming into the course, much higher than anticipated when examining the Part II surveyresponses. The question then becomes about who benefits from design review and how. Basedon the students’ perceived design
[6]. During the Middle Ages, professionalguilds established regulations akin to codes of ethics, ensuring the quality of construction andpenalizing breaches with financial loss or expulsion from the guild [7]. The term “civil engineer”emerged in the 18th century, distinguishing engineers working on civilian infrastructure frommilitary projects. With the formal establishment of engineering societies such as the AmericanSociety of Civil Engineers (ASCE) in 1852, efforts to standardize practices gained momentum,culminating in the formation of key organizations like ASTM International (1898), AASHTO(1914), and NIST (1901) [8].Standards, specifications, and codes are typically developed in response to identified needsarising from industry
provide students with a chance toreflect on the design of the system, rather than just providing an analysis of the dataset, and toencourage students to recall and incorporate other thermodynamic concepts.DiscussionThe project described in the paper was administered during the Fall 2023 semester. The lastdeliverable, in which the students had to provide recommendations to improve the system asdescribed above, was also used as the performance indicator to collect assessment data for ABETStudent Outcome 4: “An ability to recognize ethical and professional responsibilities inengineering situation and make informed judgments, which must consider the impact ofengineering solutions in global, economic, environmental, and social contexts” [3
regarding the nature of the decisions requested [52]. Examples of this areexperiments [53], medical procedures [54], and the use of data from digital technologies [55]. Whendeveloping processes of consent, participants must be informed of the different consequences upondeciding [56]. This notion arose from the development of ethical principles while performing researchexperiments that involved human subjects and has been translated into frameworks such as theBelmont Principles [57]. A crucial aspect in the process of informing is the development of methodsthat provide individuals and communities with sufficient and useful information to understand therisk and benefits of their decisions [58]. However, many of these interactions are based on the
empower them toevaluate both the positive and negative impacts of their projects. This not only enhances their technicalabilities but also nurtures a sense of social responsibility. Tools like the computational action toolkit helpstudents analyze the ethical implications of their designs, fostering a deeper connection between theirwork and societal outcomes. The Computational Action Toolkit provides structured tools to guidestudents through problem-solving, design, and project management. It includes: • Ideation Tools: A mind map for brainstorming meaningful problems. • User Research Tools: Templates for user research, user personas, and a collaborative analysis framework. • Design and Impact Tools: An impact matrix, a
. Paul, Minnesota. He completed his B.S. and M.S. in electrical and computer engineering at Iowa State University, with a focus on Computing and Networking Systems in his graduate program.Dr. 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. Henry Duwe, Iowa State University of Science and
suggestsalternative perspectives or analogies to inspire new ideas and solutions based on the framing andreframing of human inputs. This conversational interface allows for a fluid exchange of ideasbetween designer and AI which creates interactive dialogue that helps to create novel conceptsthat may not be possible though traditional DM (10).There are numerous drawbacks associated with GenAI that are noted throughout the literature. Itcan be non-deterministic, uncontrollable, or overly generic which means that many trials need tobe taken to reach a desired outcome (5). It is also a challenge to incorporate into the curriculumas educators need to be trained and educational frameworks need to be updated (8, 11, 12).Additionally, there are ethical concerns with
and use those insights to drive informed decisions. ● Recognize ethical considerations relevant to data gathering and data visualization. 6. Maximizing the ● Describe the impact level of your research, including listing key results Impact of Your and identifying the groups most interested in those results. Research ● List a variety of options for sharing undergraduate research, including both traditional academic venues (conferences, journal articles) as well as venues for reaching audiences outside of the academic context. ● Identify the venues that might be most appropriate for
a detailed description for each category and achievement level was given. Thecomplete rubric is provided in Appendix B.The EME as a class project is tied to ABET Student Outcome Three: “an ability to communicateeffectively with a range of audiences” and Seven “an ability to acquire and apply new knowledgeas needed, using appropriate learning strategies” [22]. For fall 2025, ABET SO4 (“an ability torecognize ethical and professional responsibilities in engineering situations and make informedjudgments, which must consider the impact of engineering solutions in global, economic,environmental, and societal contexts”) will be tied to the EME. For SO3, science communicationas a tangible skill feeds into an engineer’s ability to create value for