builtinto smart phones such as Siri, was a polarizing issue for most of the participants. Thirteenparticipants have VAs installed in their homes and use them regularly, expressing satisfactionwith how well they worked. Five of the remaining nine participants that did not use VAs werequite adamant that they did not use them and were not planning to do so, citing privacy concernsof installing passive monitoring devices in their homes. A wide variety of smart devices were mentioned by participants. The most commondevice, mentioned by twelve participants, was smart outlets that were used primarily to remotelycontrol Christmas lights, regular lights, and fans. Seven participants discussed security-relatedsmart devices such as Ring doorbells
as a result. Separately, any excerpts that were reflective of the strength ofthe participants’ anticipatory and initial—prior to and following their first year of study,respectively—SoB were captured, often In Vivo to maintain the students’ individual voices [31].In a second round of coding, the socialization experiences were then sorted into two categoriescapturing the participants’ exposure to their university and their planned discipline. Finally, theparticipants’ anticipatory and initial belonging was mapped against their pre-college experiencesto find themes across the eight students.PositionalityThe author recognizes his own positionality with respect to the work done in this study. Heacknowledges his privilege in having been able to
Paper ID #42446Implications of Engineering and Education Professor’s Problem-Solving Mindsetson Their Teaching and ResearchMs. Alexis Suzanne Capitano, Colorado School of Mines Alexis currently attends the Colorado School of Mines. She is a senior majoring in Electrical Engineering and simultaneously pursing a Masters of Science in STEM Education with a planned graduation date of December 2024.Ryan Miller, Colorado School of MinesDr. Kathryn Johnson, Colorado School of Mines Kathryn Johnson is a Professor at the Colorado School of Mines in the Department of Electrical Engineering. In the Fall 2021, she visited the
,” in Learning and Teaching Across Cultures in Higher Education, D. Palfreyman and D. L. McBride, Eds., London: Palgrave Macmillan UK, 2007, pp. 93–113. doi: 10.1057/9780230590427_6.[21] D. N. Ugwu and M. Adamuti-Trache, “Post-Graduation Plans of International Science and Engineering Doctoral Students Attending U.S. Universities,” J. Int. Stud., vol. 7, no. 1, pp. 1–21, Jan. 2017, doi: 10.32674/jis.v7i1.242.Appendix A5.1 Narrative 1: AuthorXI came to the United States as an international student from India to study a literacy education Ph.D.program at a midwestern Historically White Institution (PWI) high research (R2) university. I came froma heavily quantitative mindset due to my background in psychology in India
(Hispanic, black, native, and others) were combined toform an underrepresented minorities (URM) category. Most students in the spring semester wereenrolled in the mechanical engineering (ME) major, whereas in the fall semester, a majority werepursuing degrees in electrical or computer engineering. This disciplinary distribution can beattributed to the way these courses are structured in the students' degree study plan. Industrialengineering (IE) was the next most popular major among the students who took this course,while the remaining majors were categorized as “other.” Table 1: Descriptive Statistics by Semester Spring 2021 Fall 2021 Male Female
: https://doi.org/10.1115/1.2020-SEP3.[4] NSPE Advisory Committee, “Why Should I Care About Diversity in Engineering? | National Society of Professional Engineers,” PE Magazine, no. July/August 2020, Aug. 2020. Accessed: Dec. 12, 2021. [Online]. Available: https://www.nspe.org/resources/pe- magazine/july-2020/why-should-i-care-about-diversity-engineering[5] J. M. Trenor, S. L. Yu, C. L. Waight, K. S. Zerda, and T.-L. Sha, “The Relations of Ethnicity to Female Engineering Students’ Educational Experiences and College and Career Plans in an Ethnically Diverse Learning Environment,” J. Eng. Educ., vol. 97, no. 4, pp. 449–465, Oct. 2008, doi: https://doi.org/10.1002/j.2168-9830.2008.tb00992.x.[6] H. S. Mosatche
describes the relationship between these factors, where perceived ease ofuse and perceived usefulness are predictors of behavioral intention to use, and behavioralintention to use predicts actual use [17]. In the TAM model, perceived usefulness is defined as the degree to which an individualbelieves that using a system would enhance their performance, perceived ease of use is definedas the degree to which a person believes that using a system would be free of physical or mentaleffort, behavioral intention to use is defined as the cognitive processes, plans, and motivations anindividual has to perform a behavior, and actual use is defined as the specific use of atechnology, including how frequency of use, time spent using it, and more [17
will work on this endeavor. Describe the job titles and roles for the various biomedical engineers who would aid in the development and translation of this proposed medical device. If you do not know of any, please type "don't know".3. What experiences and/or skills do you think you (i.e., an undergraduate) should plan to pursue/obtain during your undergraduate tenure to prepare for a career? If you don't know of any, please type "don't know".Appendix B: Alumni Panel Questions1. How/why did you choose the post-graduation route that you did?2. For those who went into industry, why did you choose to go into industry directly with a B.S. or after obtaining your M.S.? How difficult was it to find a job?3. What kinds of extracurriculars
scalability of mechatronic components with IoT. Soft Skill: Innovation in design. Project management across disciplines, following re- quirements, planning, and critical solutions. Key performance Indicator: Effectiveness in the integration of mechanical and elec- tronic components. Innovation in design solutions, support report of the different config- urations used or analyzed, and the reason for the implemented methodology.4. Focus Area: Electrical/Electronic Learning Objective: Create IoT/IIoT-based electronic circuits that enable smart pick- and-place operations and seamless data flow for production analytics. Practice: Assemble and test an IoT-based electronic circuit that controls a pick-and- place system
Saturdayprogramming and a summer camp experience.There are two curricular developers for the course: (1) a retired engineer, and (2) a former K-12STEM teacher, both of whom now work to create STEM outreach opportunities for children. Withinput from industry partner representatives and the two program teachers, the curriculum developerscreated a dynamic curricular guidebook that includes engineering content, a variety of activities, andcomprehensive lesson plans that are used by the teachers. All information can be customized to meetspecific school and student needs, within the pace of a traditional nine-week class time frame (shownin Figure 1 below). Specialty materials needed to conduct lessons (e.g., Arduino boards, mousetraps,materials for 3D printing
offering moresmall-group interactions, “low risk” activities, and online options. Libraries may need to adjusthow they plan orientations to create a positive and welcoming experience for cautious students.We learned that students primarily use the library as a solo study space, but also see it as a safespace to gather for group work and networking. Given all these considerations, our survey did tell us more about the lived experiences ofwomen identified students within our consortia. We learned that women identified students are atrisk of gender-based discrimination, but impacts aren’t reported until the third and fourth years ofa program. Most students work, and this influences their participation in extracurriculars. Welearned that
create inclusive environments that allow students to form chosenfamilies. Potential methods for educators to act upon this could include allowing studentsextra time in class to get to know each other and creating an inclusive classroom culture inwhich students feel comfortable approaching the educator for various kinds of support.Chosen families provide students an ability to be their authentic self with others. Chosenfamilies also help students find solutions to their problems with others who are likeminded.The sense of belonging resulting from Chosen Family support likely supports students’persistence.In future research, we plan to deepen our understanding of how support networks impactundergraduate engineering students' success and well-being
environmental engineering capstone design experience. She is a licensed Civil Engineer (CA) with over 17 years of specialized academic and industry experience, specializing in stormwater management, watershed-based planning, and microbial water quality engineering. In addition to her teaching and mentoring responsibilities, Dr. Hanley is working to expand the undergraduate Environmental Engineering program at NYU Tandon.Dr. Tanya Kunberger P.E., University of Pittsburgh at Johnstown Dr. Kunberger is Division Chair for Engineering and Computer Science at the University of Pittsburgh Johnstown.Dr. Monica Palomo P.E., California State Polytechnic University, Pomona Professor B.S. Civil Engineering, University of
detect color when shown on the Video Display. • My favorite part of the project was learning how to code the arm to move. Figure 8. Student Survey Questions and Student ResponsesLessons learnedMany things were learned over the course of the summer. One of the main lessons learned by thestudents was time management. For the first time, the students had to produce specific results ina limited amount of time, but with proper instruction and planning, the project was successful.Being able to complete this project gave the students the knowledge that with proper planningand time management, anything can
surveyed institutionsalready used Artificial Intelligence (AI) in their admissions process, and an additional 30%planned to do so in 2024. AI gives universities the advantage of increased efficiency, allowingthem to focus their limited resources on other critical tasks like selecting students for financialaid and scholarships [5]. Therefore, it is essential to innovate AI systems that assist in theadmissions process while still minimizing the possibility of biased outcomes.The rapid development of the technology industry led to an increased number of graduate degreeholders yet the diversity among these graduates has not shown comparable growth. For instance,the male-to-female ratio among master's graduates has remained nearly constant in the
impact. A significantaddition to our study will be the involvement of a second instructor and their teaching team,offering a fresh perspective on the course's effectiveness. We plan to conduct focus groups withthis new cohort to gain deeper insights into their experiences and impressions. For future offerings of the course, we are developing a comprehensive student survey thatwill explicitly address the five key themes central to our course design and implementation.These themes include fostering a sense of belonging, supporting self-regulation skills in theonline learning environment, enhancing self-efficacy in engineering, promoting learning andmotivation through innovative online pedagogies, and evaluating the effectiveness of
serves as a Research Assistant. He holds a bachelor’s degree in Civil Engineering from the Federal University of Technology, Akure (FUTA). His current research focuses on the sustainability and resilience of transportation infrastructure in the face of sea level rise, with a particular emphasis on coastal vulnerability and adaptive planning for future climate scenarios. Tolulope is passionate about engineering education and research, with a strong appreciation for field experiences that bridge theory and practical application.Grace Yemisi Balogun, Morgan State University Grace Yemisi Balogun is a Ph.D. student in Bio-Environmental Sciences at Morgan State University & an Environment, Social and Governance analyst
International Programs (CIP) at the University of Dayton. The CIP provides coordination, strategic planning and administrative support forMrs. Marjorie Langston LangstonMr. Douglas Picard, Greene County Career Center Doug Picard is an engineering and manufacturing instructor at the Greene County Career Center in Xenia, Ohio. In 2023 and 2024, he participated in the Global STEM RET, facilitated by University of Dayton and Central State University, with in- and pre-service teachers from Dayton and surrounding area. He traveled to Banagalore, India, to observe and research how solar and other renewable energies are incorporated into developing areas and developed/published classroom curriculum. As part of this research
(not replace) teachers.”These recommendations highlight a strong desire to instill ethical awareness and critical thinkingas part of AI use in education, ensuring that AI tools are pedagogically supportive and not misused.2. Customization and PersonalizationParticipants suggested that AI tools should be better tailored to meet the diverse learning needsof students and the instructional preferences of educators. Recommendations in this themeincluded: “Offer personalized learning based on student pace and style.” “Let educators customize AI outputs, lesson plans, and prompts.” “Provide multimodal support (e.g., visuals, audio, interactive tools).”These responses reflect a call for
provided more accurate and detailed explanations than ChatGPT in some cases.This has prompted us to consider integrating these tools into future iterations of the study.Moving forward, we plan to develop more structured and clearly defined activities for students,with the aim of repeating the study in the following year. By then, we anticipate that universitieswill have clearer instructions and policies regarding the use of AI in classroom settings, whichwill help us refine the design and execution of the study.References[1] R. Subramanian and S. M. Vidalis, “Artificial Intelligence tools: Boon to Engineering Education or a threat?,” in 2023 Fall Mid Atlantic Conference: Meeting our students where they are and getting them where they
Paper ID #47096Fruitful Endeavors: Continuous Peer Feedback to Develop Positive TeamDynamicsBrian Patrick O’Connell, Northeastern University Dr. O’Connell is an associate teaching professor in the First-Year Engineering program at Northeastern University. He studied at the University of Massachusetts at Amherst in 2006 then worked in industry as a Mechanical Engineer working on ruggedized submarine optronic systems. He returned to academia in 2011 at Tufts University planning to work towards more advanced R&D but fell for engineering education and educational technologies. His research now focuses on developing