pharmaceutical treatment, achieving automated epilepsymanagement, potentially leading to more rapid and effective acteristic. The treatment options available to patients withseizure suppression. epilepsy do not work for one-third of people with drug- The implementation utilizes the MPU6050 accelerometer for resistant epilepsy (DRE), thus requiring different therapeuticactivity recognition and AD8232 for ECG activity recognition, approaches [1]. Ethical standards endorse Vagus Nerve Stim-combining these data with ECG readings to minimize false ulation (VNS) as an effective treatment solution for
, Analysis, and Impact Assessment2.4.1 Data CollectionThe data for this study were retrospectively collected from Canvas, the learning management sys-tem utilized for the courses. Four datasets were analyzed: two for Exam 1 (2022 Fall and 2023Spring) and two for Exam 2 (2022 Fall and 2023 Spring). These datasets contain aggregated itemanalysis reports that summarize question-level metrics such as Correct Ratio, Difficulty Index, andPoint Biserial correlations. No individual student information was included, ensuring the analysiswas entirely anonymized and ethically sound.The 2022 Fall data represent baseline student performance prior to the implementation of anyenhanced teaching strategies. In contrast, the 2023 Spring data reflect the impact of
them navigatesocial situations. Kyle noted that while student friendships have helped to support himacademically, they also encouraged him to maintain a consistent diet.Resistant CapitalWhen asked whether they believed completing their degree would contribute to combatingstereotypes about those who share their social identities, participants acknowledged theunderrepresentation of their identities in STEM but expressed not viewing it as a significant issue.Similarly, participants believed their peers shared values and attitudes like their own. Althoughpolitics was mentioned, it was not seen as important for undergraduate degree completion.Rather, they focused on shared academic values, work ethic, and morals. Contrary to findings inthe
skills such as manufacturing process selection, costestimation, and making and interpreting engineering drawings. Incorporating speakers and providingopportunities for tours of local manufacturing businesses also allowed students to understand theconnections between business and technical considerations in manufacturing. By fostering a culture ofinnovation, connecting students to practical resources, and emphasizing inclusivity, this initiative has thepotential to produce entrepreneurial engineers ready to tackle real-world challenges.8. ReferencesBielefeldt, A. R., Polmear, M., Knight, D., Swan, C., & Canney, N. (2018). Intersections between Engineering Ethics and Diversity Issues in Engineering Education. Journal of Professional
colleges/universities.Another benefit is that CTE programs can enhance valuable skills such as work ethics,perseverance, and communication. These valuable skills can lead to an increase in life outcomesfor CTE students [29]. CTE classrooms are a blend of academic and real-world experiences, aswell as hands-on training. These components are essential for success in the labor force post-graduation [30]. The direct learning in the classroom CTE students endure helps strengthen thenon-cognitive skills students will use in any job.Evidence of the success of vocational/ CTE educationThe success of vocational students after joining the workforce is demonstrated in the job growthrate of different occupations in the construction industry. According to the
but also societal, ethical, and business considerations in robotics. The interdisciplinary approach helped students develop a holistic view of robotics and its applications, preparing them for leadership roles in robotics research and development. In several interviews conducted with development engineers responsible for creation and development of HRI models at several companies, most indicated that they had not been formally trained in interaction design or other related fields, and instead tended to use their personal judgment when developing interaction models. 5. Educational Model for Other Institutions: The curricular design, including the integration of HRI, interdisciplinary learning, and
research. Handbook of the arts in qualitative research: Perspectives, methodologies, examples, and issues, 71-81.Fricker, M. (2007). Epistemic injustice: Power and the ethics of knowing. Clarendon Press.Guba, E. G., & Lincoln, Y. S. (1989). Fourth generation evaluation. Sage.Harding, S. (1991). Whose science? Whose knowledge? Thinking from women’s lives. Cornell University Press.Heilig, J. V., Cole, H., & Aguilar, A. (2010). From Dewey to No Child Left Behind: The evolution and devolution of public arts education. Arts Education Policy Review, 111(4), 136-145.Irwin, R. L. (2013). A/r/tography as living inquiry through art and text. Qualitative Inquiry, 9(2), 67-71.Keet, A. (2014). Epistemic ‘othering’ and the
) Year 3 – Spring (UA) DASC 2594 Multivariable Math for Data SEVI 2053 Business Foundations Scientists INEG 2313 Applied Probability and Statistics INEG 2333 Applied Probability and Statistics for Engineers I for Engineers II DASC 2133 Data Privacy & Ethics DASC 3203 Optimization Methods in Data Science DASC 3103 Cloud Computing & Big Data DASC 3213 Statistical Learning RRRR NNN3 Required Concentration Course RRRR NNN3 Required Concentration Course 16 hours Total
constraints. The study recognized thatthough public policy is typically taught at the post-graduate level, its incorporation at theundergraduate level has much to gain [6]. Oswald Beiler’s approach was integrating publicpolicy discussions into a required, upper-level civil engineering course [6]. The course addressedthe fundamental concepts of leadership, ethics, and sustainability introduced during earlier years.It elaborated further with the students on how to apply those concepts to more complex policyapplications. For example, students worked on case studies on climate change mitigation andinfrastructure resilience, applying real examples to understand how engineering and policy cometogether. In addition to advancing their technical knowledge
science is separate from the scientists involved. (Mejia &de Paula, 2019). Moreover, the false notion of objectivity presents science and engineering asapolitical and neutral, influencing students in the U.S. to believe that science and engineeringdesign are devoid of social, ethical, and political contexts. The concept of objectivity can lead topsychological conflicts, such as feelings of alienation for those raised in different cultures (Cajete,2020). Thus, teaching science exclusively from a Western perspective may negatively impactstudents. While Western science has potential drawbacks, Indigenous communities understand theimportance of integrating Western and Indigenous knowledge (Cajete, 2020). Some engineeringeducation researchers also
, steel design, reinforced concrete design,and structural dynamics. This paper summarizes the details of two iterations of the workshopand each of the associated modules. The paper also includes a summary of pre and postassessments of the faculty participants from both workshop cohorts. The assessments includeevaluation of each participants’ active learning practices and their incorporation andunderstanding of EM principles.Introduction An ABET accredited undergraduate engineering program in civil engineering requires theinclusion of a variety of topics. In the Civil Engineering Program Criteria (CEPC) the list oftopics includes sustainability, risk, resilience, diversity, equity, inclusion, an engineering code ofethics ethical dilemma along
analyze changes in individual studentresponses from the beginning to the end of the course.3.4 Institutional Review Board (IRB) ReviewThe study design and its components were submitted to the Institutional Review Board (IRB) at FloridaGulf Coast University and approved under protocol ID 2025-28. Ethical considerations were maderegarding the collection of personal information; therefore, the surveys were anonymous, and nodemographic data were collected from participants. The IRB also raised concerns about the potential forstudent coercion. To address this, the surveys were both anonymous and voluntary, which helpedminimize the risk of coercion. Because the data collection was anonymous, students could declineparticipation without their identity
design, fabrication, and testing. 8 I can plan and manage time, tasks, and resources effectively across the lifecycle of a long- term engineering project. 9 I feel well-prepared to enter the professional engineering workforce and contribute meaningfully in technical roles. 10 I am confident in analyzing test results, assessing design performance, and using feedback to drive iterative design improvements. 11 I can evaluate the feasibility of multiple design concepts and select solutions based on analysis, data, and stakeholder input. 12 I understand how to apply safety, regulatory, and ethical considerations within the context of an aerospace engineering project. 13 I
learningenvironment.We foresee that this study will provide valuable insights for both research and practice inengineering education. For researchers, it offers a framework to explore the potential of AI-driven text personalization in improving student outcomes and addressing diverse learning needs.For practitioners, the tool’s ability to adjust academic texts provides a practical means ofenhancing engagement and comprehension in engineering classrooms. By addressing privacyconcerns through anonymized profiles and ensuring ethical oversight through human-in-the-loopprocesses, the study highlights a thoughtful approach to integrating AI into educational contexts.While further work is needed to evaluate broader applications, this study represents a stepforward in
comprehensive overview of Python libraries and implications,” in Ethics, Machine Learning, and Python in Geospatial Analysis, 2024, pp. 22, doi: 10.4018/979-8-3693-6381-2.ch004.[16] L. A. Rossman, Storm Water Management Model User’s Manual, 2010.[17] M. Rocklin, “Dask: Parallel computation with blocked algorithms and task scheduling,” in Proc. 14th Python in Sci. Conf., 2015, pp. 126–132.[18] S. J. Pan and Q. Yang, “A survey on transfer learning,” IEEE Trans. Knowl. Data Eng., vol. 22, no. 10, pp. 1345–1359, 2009.[19] B-E. B. Semlali et al., “Hadoop paradigm for satellite environmental big data processing,” Int. J. Appl. Environ. Inf. Syst., vol. 11, no. 1, pp. 23–47, 2020.[20] W. McKinney, Python for Data Analysis: Data Wrangling
as well as our Collegeof Liberal Arts. Learning outcomes include understanding and applying AI in the student’s primary disciplineand evaluating the ethics of AI and ML uses. There are three required and five total courses – a required AIethics and Policy course, a statistics course, and an AI/ML focused applications course. Multiple departmentshave an AI applications course, and students are able to choose from those courses based on the types of AI/MLapplications they are interested in – with an encouragement to learn cross-disciplinarily. Other opportunities forstudents to learn about AI include elective courses, seminars, research, and free computing services through aspecialized Artificial Intelligence Makerspace built in partnership
." The event's capacity to appeal to a broadspectrum of interests while keeping a laser-like focus on current concerns influencing thetechnology landscape is reflected in this balancing. For example, individuals working at thenexus of technology and society found great resonance in conversations about AI ethics and IoTsecurity, while those interested in automation and engineering applications were excited byrobotics demos.Another significant advantage of the symposium was networking, as 63% of participants said theopportunities were "very effective." Participants stressed the importance of interacting withmentors and peers who were as passionate about innovation and discovery as they were. Anumber of participants reported making contacts that
advance a advance a ethical, cultural, with diverse diverse groups. ↕ definition. design design social, health, audiences. Informed problem. problem environmental, (physically, safety, and digitally). economic dimensions.Current WorkIn this work-in-progress paper, we demonstrate a method for using statistical analysis to inspectstudents’ competency development. These findings are used to inform future course developmentefforts as
in this course, the authors intentionally included multiplediscussions throughout the course either as classroom discussions or by inviting in a relevantguest speaker. Several of our two-hour class meetings were used to invite speakers from manyUAB offices to present special topics that we feared students would not be formally introducedto otherwise – these departments and topics are listed below in Table 2.Table 2. Invited speakers for graduate Technical Communication for Engineers course fromuniversity partners. Department Topic UAB University Writing Center Academic Writing vs Pitching UAB Libraries Ethical AI Usage UAB Libraries, Office
in prominence. funding grants. Accreditation ABET accreditation focuses on defined UK accreditation bodies (e.g., student outcomes, including teamwork, Engineering Council, IET, IChemE) communication, and problem-solving. emphasize evidence-based assessment of Programs must demonstrate continuous learning outcomes covering technical, improvement. practical and professional skills. Professional Skills Communication, leadership, ethics, and Integrated Engineering Program at UCL for Engineers focus entrepreneurship all emphasized across focuses on project
forDeveloping Hands-on Competency in Generative AI with Ethical Considerations," in 2024 ASEE AnnualConference & Exposition, 2024.[9] D. DiCarlo, N. Greenfield and A. S. Jariwala, "Artificial Intelligence in Makerspaces–Repurposing industryapplications to serve makerspace needs," IJAMM, 2022.[10] Z. Sun, Z. Li, Z. Qian, H. Qi and C. Shi, "Exploration and Research on the Open and Shared NewEngineering Maker Practice Education," in 2023 IEEE Frontiers in Education Conference (FIE), 2023.[11] R. Hadad, "The use of makerspaces for the development of computational thinking skills and dispositions:pedagogical practices facilitators use," Computer Science Education, p. 1–40, 2024.[12] V. Wilczynski, "A classification system for higher education
establishedinstruments in peer-reviewed literature, such as the Multifactorial Leadership Questionnaire(MLQ) and the Scale for Effective Communication in Teams (SECTS), modified for aneducational context [20,46,47], and can be seen in Table 1.The collected data were processed using the Qualtrics platform, which allowed for filtering andcleaning, facilitating numerical analysis. The Pearson correlation coefficient was applied to thedata from the questionnaires, with the results exported to statistical software for further analysis.The quality of the research was ensured through expert evaluation of the instrument’s validity, andits reliability was confirmed with a high Cronbach's alpha coefficient of 0.887, indicating stronginternal consistency. Ethical
education. During her time at Iowa, she has built a research program focused on developing better drug delivery systems to treat infections in the lungs and on the skin. More recently, she began conducting research in engineering education with a focus on the development of engineering students as effective learners and ethical thinkers. ©American Society for Engineering Education, 2025 A 52-Week, Scaffolded Faculty Journey into Engineering Culture and ClimateIntroductionEngineering culture and climate play a crucial role in shaping the academic environment andexperiences of students, staff, and faculty in engineering educational institutions. Research hasshown that
design or engineering ethics. Future workbeing considered in this course is to expand the use of these real world applications beyondlectures and into homework assignments and student discussion activities. Table 2: Summary of Quantitative Survey Responses Statement 1 Statement 2 Statement 3 Statement 4 Response Creating Connections Curiosity Creating Future Value Value Agree Start: Combined 65.0% 62.8% 54.4% 65.6% End: Control 71.8% 75.0% 68.5% 70.2% End: Test 80.5% 74.2
subcommittee chair on ABET’s Accreditation Council Training Committee. He was previously a Member-At-Large on the Computing Accreditation Commission Executive Committee and a Program Evaluator for both computer engineering and computer science. Estell is well-known for his significant contributions on streamlining student outcomes assessment processes and has been an invited presenter at the ABET Symposium on multiple occasions. He was named an ABET Fellow in 2021. Estell is also a founding member and current Vice President of The Pledge of the Computing Professional, an organization dedicated to the promotion of ethics in the computing professions. Estell is Professor of Computer Engineering and Computer Science at
students is key toproviding a positive experience for REU students.Effective communication was also important when students had multiple mentors. The structureof the NHERI REU Program contains a network of mentors. A student can have anywhere fromtwo (2) to four (4) mentors supporting their summer research goals. Sharing information tosupport students across this mentor network is also important. As another REU studenthighlighted, “My mentors were very good at communicating. I think it was vital for me to haveboth a faculty mentor and graduate mentor because they understood each other, and helpedexplain everything to me as well.”Demonstrated authentic care. Nel Noddings (YEAR) presents how the ethic of care isactionable. Faculty mentors displayed
Ansys GrantaEduPack™ in a computer lab (see example in Fig. 8). This provided the learners with more in-depth insights about material properties and introduced them to the concepts of materials selection.3.2 Survey QuestionnaireEthical approval of the survey was obtained from the University of Victoria Ethics Board(Protocol# 24-0472). The survey includes questions regarding the students’ experiences in thematerials science tutorials. Students were sent a survey link via email through the University-approved software SurveyMonkey, whereby students could decide to participate in the shortsurvey and submit their answers anonymously. To mitigate instructor influence on survey results,the survey link was sent out by neutral third-party
majoring in aerospace engineering. Guest Speaker topics will address the concerns ofprofessional aerospace engineers such as engineering ethics, continuing education, engineeringeconomy, social and safety considerations, and professional registration. Guest lecturers will beprimarily aerospace engineering practitioners, providing the students with an opportunity tointeract with professionals in their major field of interest.AE473 Stability and Control: This course introduces aircraft static and dynamic stability andcontrol. The course develops and provides the tools required to analyze and design the stabilityand control attributes of an aircraft in preparation for aircraft designAE481 Aerodynamics: A course on the fundamentals of incompressible
University of Prince Edward Island.In Sept/Oct 2023, each of these schools sent a link to their voluntary anonymous survey to allundergraduate engineering students from their institution. Each survey contained approximately45 questions, typically taking students 10-30 minutes to complete. Questions were primarilyyes/no, multiple-choice (inc. Likert scale), multi-choice, or sliding scale, and several included anopen-ended “other” response option. There were several fully open-ended questions that askedrespondents why they had responded as they did, to a prior question. Surveys were approved bythe human research ethics boards of all six participating institutions, and survey data wasgathered using SurveyMonkey™.The responses used in this specific
of cybersecurity principles and concepts,as well as cybersecurity tools. The course was offered in Spring 2019 and Spring 2020. The cy-bersecurity LOs were integrated into the coursework and contributed to students’ overall grades.The student learning outcomes for the course are as follows. The students should be able to: • Describe the fundamental cybersecurity principles, protocols, and standards; • Identify some of the common problems and solutions in the cybersecurity domain; • Use cybersecurity tools and operations to implement cybersecurity principles and protocols; • Analyze cybersecurity breaches and provide appropriate solutions; • Describe cybersecurity hygiene, ethics, auditing, and management of software