individual(s) involved in thematic analysis toengage in a phase of reflexivity [26] after the data have been classified. Reflexivity involvesquestioning the assumptions made during coding of the data to identify potential biases in thecoding and ultimately in the conclusions drawn from the data. Potential reflexivity bias isexplored in the Limitations section of this manuscript.In this study, thematic analysis was initially applied to identify broad themes in the data. Afterinitial patterns in the data were identified, one or more of these broad (primary) themes wereassigned to each student response. Once the dataset was broken down into this primary set ofthemes, responses within each theme were re-examined to determine whether secondary themeswere
new, marketable job skills,including IoT hardware, cloud technologies, cryptography, planning, budgeting, intellectualproperty rights, and networking. However, more importantly, the students delivered a productwith their newfound skills to help protect people's privacy. Team SIHDD (from left to right): Garrett Orwig, Nadaa Elbarbary, Krizia Ragotero, Hayden JonesReferences[1] S. Sami, B. Sun, S. Tan, and J. Han, "LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors," in SenSys '21, Coimbra, Portugal. November 15- 17, 2021. Available: https://dl.acm.org/doi/pdf/10.1145/3485730.3485941[2] Z. Yu, Z. Li, Y. Chang, S. Fong, J. Liu, and N. Zhang, "HeatDeCam: Detecting
autonomous agent that provides automated feedback on students' negotiation skills,” in Proc. of the 16th Conf. on Autonomous Agents and Multiagent Syst., pp. 410–418, May 2017.[4] M. Wheeler, “Introduction to special issue: Artificial Intelligence, technology, and negotiation,” Negotiation J., vol. 37, no. 1, pp. 5–12, 2021.[5] Reuters, “ChatGPT sets record for fastest-growing user base - analyst note,” 2023. [Online]. Available: www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base- analyst-note-2023-02-01/[6] D. Kolb, Experiential Learning: Experience as the Source of Learning and Development, Englewood Cliffs, NJ: Prentice Hall, 1984.[7] S. Brookfield, Understanding and Facilitating
Paper ID #44407Lighting a Pathway to Energy Transitions: Collecting, Interpreting and SharingEngineering Designs and Research Data Across a School-based AgrivoltaicsCitizen Science Network (Pre-College Resource/Curriculum Exchange)Dr. Michelle Jordan, Arizona State University Michelle Jordan is as associate professor in the Mary Lou Fulton Teachers College at Arizona State University. She also serves as the Education Director for the QESST Engineering Research Center. Michelleˆa C™s program of research focuses on social interactMs. Katie Spreitzer, Arizona State UniversitySarah Bendok ©American Society for
for the Course Design Institute and faculty development workshops on Equity in Collaborative Learning, Universal Design for Learning (UDL), and Specifications Grading. As former Director of Undergraduate Research for the UVA School of Engineering and Applied Science, Brian created Starting an Undergraduate Research Experience (SURE), a student-led program to lower barriers to entry in research experiences for 1st-year engineering students. Brian has received the Harold S. Morton Teaching Prize for excellence in 1st- and 2nd-year teaching in engineering, and he is a BMES Fellow. Brian is co-founder and Deputy Editor in Chief of the journal Biomedical Engineering Education. Brian’s science and engineering research
preliminary findings point towards a positive experience. Future researchwill include interview responses and response analysis, which will draw the study conclusionsand recommendations for enhancing practical, authentic learning experiences within engineeringcurricula.VII. References[1] AE Brooks, DL Ewert, "Discovery-Based Learning: A Bridge Between Research andTeaching." ISA Biomed. Sci. Instrum. Symp.. Vol. 53. 2017.[2] D. Gürdür Broo, O. Kaynak, and S. M. Sait, “Rethinking engineering education at the age ofindustry 5.0,” Journal of Industrial Information Integration, vol. 25, p. 100311, Jan. 2022, doi:10.1016/j.jii.2021.100311.[3] [S. R. Brunhaver, R. F. Korte, S. R. Barley, and S. D. Sheppard, “Bridging the Gaps betweenEngineering Education
solving sessions to engage students in a highly theoretical Random SignalAnalysis course.Research has shown that when students are in constructive and interactive modes of engagement,they gain deeper understanding of knowledge. To help students learn better, six interactive andactive problem solving sessions are incorporated in the Random Signal Analysis course. In eachproblem solving session, students are presented with one or multiple non-trivial problem(s).They work in teams of two while interacting with a table of eight students. While students areengaging with problem solving, the instructor and teaching assistants walk around the classroomanswering questions and giving feedback.At the end of each problem solving session, students complete a
Institutional Culture Change. Journal of Learning Analytics, 6(2), 86-94. Retrieved from https://eric.ed.gov/?id=EJ1224131[2] Chan Hilton, A., Blunt, S., and Mitchell, Z. (2022). Capacity-Building to Transform STEM Education Through Faculty Communities in Learning Analytics and Inquiry. ASEE 2022 Annual Conference and Exhibition, June 2022, Minneapolis, MN. Retrieved from https://peer.asee.org/42085[3] Barron, K. & Hulleman, C. (2014). Expectancy-Value-Cost Model of Motivation. In: International Encyclopedia of Social & Behavioral Sciences (Second Edition) (ed. J. D. Wright), 503-509. DOI: 10.1016/B978-0-08-097086-8.26099-6[4] Wigfield, A. & Eccles, J.S. (2000). Expectancy-value theory of achievement motivation
manufacturing engineering in HVAC and Steel Mill. Trisha is currently a Lecturer in the Engineering Studies at Rochester Institute of Technology. She is currently pursuing a Master’s in Manufacturing and Mechanical System Integration at RIT.Mark Davis, Rochester Institute of TechnologyDr. Yunbo Zhang, Rochester Institute of Technology Dr. Yunbo Zhang is currently an Assistant Professor in Department of Industrial & Systems Engineering at Rochester Institute of Technology (RIT). Dr. Zhangˆa C™s research focuses on investigating computational methods for advancing design and manufacturingDr. Rui Liu, Rochester Institute of Technology Dr. Rui Liu is currently an Assistant Professor in the Mechanical Engineering Department at
undergraduates summarize thedetails of the team’s past progress and their future plans in a short write up which gets sent to theM.Eng. student(s). These informative reports help the M.Eng. students stay fully aware ofdetailed progress. The M.Eng. students then pass along the information along with theirconsiderations for timeline and resources to the project sponsors. Faculty are copied on theseregular communications, and students are given credit for completing and sending these reportson time. The undergraduate teams meet with a course instructor every two weeks for a 30-minutecheck-in meeting, which serves to monitor team progress and help students stay on track as thesemester progresses.M.Eng. Roles Throughout the course, M.Eng. students
within science, technology, engineeringand mathematics (STEM). For HBCUs, their success in graduating Black students in STEM washighlighted along with the missed opportunity of advancing their efforts to assist the U. S. goalof staying competitive within the STEM workforce (National Academies of Sciences,Engineering, and Medicine, 2019). For example, scholars found that HBCUs, while onlyaccounting for 3% of all post-secondary institutions in the United States, graduated 17% of allBlack students (Gasman & Nguyen, 2016). Additionally, as of 2019, 14.5% of Black graduateswere from HBCUs even though they made up less than 1% of all ABET-accredited programs(ABET, 2019; Deen, 2019; Fletcher et al., 2023). For Black women, a group representing
, invisible challenges they faceduring promotion and tenure at their respective colleges of engineering. This paper is more thanjust information-sharing, it is a raw, complex look into the stifling that happens to academicmothers of color who are devalued and exploited for their motherhood, their service, empathy,and productivity outputs in systems of higher education that was never made for them.References[1] S. Amsler and S. C. Motta, "The marketised university and the politics of motherhood," Gender and education, vol. 31, no. 1, pp. 82-99, 2019, doi: 10.1080/09540253.2017.1296116.[2] M. Baker, "Gendered families, academic work and the 'motherhood penalty'," Women's studies journal, vol. 26, no. 1, pp. 11-24, 2012.[3] M
advising dynamics of education while highlighting the critical rolesadvisors play in constructing the academic life and future of the international student [5]. Thishas caused a dramatic change in the composition of Ph.D. enrollments in the U.S.The importance of cultural understanding in advising international students cannot be overstated,and several studies have highlighted this fact. For instance, Vakkai et al.'s research has shownthat international students' cultural backgrounds and values cannot be ignored, and havingadvisors who are more attuned to these aspects can significantly impact an individual's academicsuccess [6]. Similarly, Liu et al.'s study highlights the need for increased attention and guidancetowards international students
feelings offailure, and redirect their energies to a positive outcome (even if it involves a change in direction).Mentors whether minoritized or otherwise must recognize, acknowledge and attempt to mitigate racialstress endured by minoritized mentees. This study can inform STEM departments how to effectivelyguide and encourage minoritized students, which can help increase their persistence and completion. ReferencesAchat, H., Kawachi, I., Levine, S., Berkey, C., Coakley, E., & Colditz, G. (1998). Social networks, stress and health-related quality of life. Quality of life research, 7, 735-750.Blake‐Beard, S., Bayne, M. L., Crosby, F. J., & Muller, C. B. (2011). Matching by race and gender in
Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM)program can stimulate engineering identity development among students, particularly thoseunder financial constraints [15]. The role of academic institutions in this process has also beendemonstrated in the literature by highlighting the potential of STEM enrichment programs insteering students toward graduate programs in science [16]. The literature underscores that theseprograms are not merely avenues for academic support but can significantly influence studentperformance, degree completion, and even graduate enrollment. Laanan et al. focused on thedimension of “transfer student capital” and presented a nuanced viewpoint on the experiences ofstudents transitioning from
strategies must be based in thecontext of these strategies, a one-size-fits-all approach would decontextualize the curriculum andwork against successful incorporation of social impacts into technical courses. Concurrentdevelopment of curriculum and accreditation assessment assignments will decrease overhead forcourse design and improve quality. This may be done during initial course design or at any stageof revision or improvement. Limitations to this work include a small sample size of facultyparticipants and continued program rollout.References[1] E. O. McGee, Black, Brown, bruised: How racialized Stem education stifles innovation.Harvard Education Press, 2020.[2] Y.-J. Chang, T.-Y. Wang, S.-F. Chen, and R.-H. Liao, “Student Engineers as Agents
are found to affect construction productivity on construction projects, Adapted from [6] Poor labor supervision Poor construction methodology Delay in payments Unsafe working conditions Poor work environment Inspection delays Lowly skilled labor Lack of rest time(s) during the workday, fatigue Bad weather conditions Excessive overtime Low employee satisfaction Unclear technical specifications Design errors and changes during Delay in responding to “requests for construction information” Reworks
modules were designed to equip engineeringstudents with the essential skills needed to work effectively in an international professionalenvironment.Summaries of each participants’ internship setting and roles in the companies are providedbelow: 1) Participant S1 participated in an internship at a company specializing in creating virtual models of city plans and works with game engines and computer software. The participant’s tasks included conducting research on transportation software and solar panel simulation software, as well as taking photographs of building facades for the company's computer model update. 2) Participant S2’s internship was at a consulting firm focusing on civil and structural projects. The
Economics Research 7, no. 5, pp. 144-150, 2018.[8] G. F. Sassenrath, P. Heilman, E. Luschei, G. L. Bennett, G. Fitzgerald, P. Klesius, W. Tracy, J. R. Williford and P. V. Zimba, "Technology, complexity, and change in agricultural production systems," Renewable Agriculture and Food Systems, pp. 285- 295, 2008.[9] S. L. Wang, R. A. Hoppe, T. Hertz and S. Xu, "USDA-ERS #302: Farm labor, human capital, and agricultural productivity in the United States," 2022.[10] G. L. Baldwin, V. Booth Womack, S. E. LaRose, C. S. Stwalley and R. M. Stwalley III, "Using broad spectrum technological projects to introduce diverse student populations to Biological & Agricultural Engineering (BAE): a work in progress," in
., vol. 17, no. 4, pp. 369–386, Oct. 2005, doi: 10.1080/09540250500145072.[3] N. A. Fouad et al., “Barriers and Supports for Continuing in Mathematics and Science: Gender and Educational Level Differences,” J. Vocat. Behav., vol. 77, no. 3, pp. 361–373, Dec. 2010, doi: 10.1016/j.jvb.2010.06.004.[4] A. Tzovara et al., “Embracing diversity and inclusivity in an academic setting: Insights 19 from the Organization for Human Brain Mapping,” NeuroImage, vol. 229, p. 117742, Apr. 2021, doi: 10.1016/j.neuroimage.2021.117742.[5] J. Misra, J. H. Lundquist, E. Holmes, and S. Agiomavritis, “The Ivory Ceiling of Service Work,” Academe, vol. 97
Our research paper examines the role of climate (e.g., interactions with others) in the skilldevelopment of engineering and physical science doctoral students. Skill development ingraduate school often occurs related to students’ primary funding mechanism, in which theymight interact with a research group or teaching team. Advisors also play a pivotal role in theengineering doctoral student experience; however, less is known about how positive mentoringinfluences skill development for engineering doctoral students. We investigated the followingresearch questions: 1) How, if at all, do interactions with advisor(s), faculty, and peers predict skill development (associated with primary funding mechanism) for engineering and physical
their perspectives on the project.“I feel like it’s valuable because it really gets you to work with those who you think you’d neverwork with. Although, working with an education student has shown me ways that an engineerlike myself would have never done. I think working with such different people is good because itshows how these two different professions can work together even though they know little tonothing about each other’s majors.”Acknowledgment This material is based upon work supported by the National Science Foundation underGrants #1821658 and #1908743. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science
Psicología/Annals of Psychology, vol. 31, no. 1, pp. 268-279, 2015.[11] L. Hsu, “Work motivation, job burnout, and employment aspiration in hospitality and tourism students—An exploration using the self-determination theory,” J. Hosp. Leis. Sport Tour. Educ., vol. 13, pp. 180–189, 2013.[12] W. Bao, “The Measurement and Determinants of Student Satisfaction in Higher Education Institution,” Res. Educ. Dev., vol. 34, no. 3, pp. 22–29+55, 2014.[13] Z. Abdullah, S. A. Alsagoff, M. F. Ramlan, and M. S. Sabran, “Measuring student performance, student satisfaction and its impact on graduate employability,” Int. J. Acad. Res. Bus. Soc. Sci., vol. 4, no. 4, pp. 108–124, 2014.[14] W. Bao, “The Measurement and Determinants of Student
[Contract No. SA-22036.001].References[1] The White House, “FACT SHEET: CHIPS and Science Act Will Lower Costs, Create Jobs, Strengthen Supply Chains, and Counter China,” The White House. Accessed: Jan. 24, 2024. [Online]. Available: https://www.whitehouse.gov/briefing-room/statements- releases/2022/08/09/fact-sheet-chips-and-science-act-will-lower-costs-create-jobs- strengthen-supply-chains-and-counter-china/[2] P. S. Smith, “Obstacles to and progress toward the vision of the NGSS,” Horizon Res. Inc., Mar. 2020. Accessed: Mar. 1, 2024. [Online]. Available: https://horizon- research.com/NSSME/wp-content/uploads/2020/04/NGSS-Obstacles-and-Progress.pdf[3] R. Powers and W. Blubaugh, “Technology in
(EDUCON), May 2023, pp. 1–9. doi: 10.1109/EDUCON54358.2023.10125121.[3] S. Z. Salas-Pilco, Y. Yang, and Z. Zhang, “Student engagement in online learning in Latin American higher education during the COVID-19 pandemic: A systematic review,” Br J Educ Technol, vol. 53, no. 3, pp. 593–619, May 2022, doi: 10.1111/bjet.13190.[4] T. K. F. Chiu, “Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic,” Journal of Research on Technology in Education, Accessed: Jan. 14, 2024. [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/15391523.2021.1891998[5] G. Mude and S. Undale, “Social Media Usage: A Comparison Between Generation Y
performed thatallow students to investigate radial 2-dimensional diffusion from a point source. Thisarrangement, with careful planning of the stationary and mobile phases, could enable students tostudy more complex diffusional dynamics with direct applications to drug delivery. Thisarrangement, coupled with a heating source and various materials such as aluminum, steel, brass,and Pyrex strips coated in thermochromic dyes, should allow the students to create time-lapseheating and cooling curves.AcknowledgementsSpecial thanks to Fall 2023 BEN 361 students for the use of their pictures and data.Bibliography [1] Q. X. Ryan, B. R. Wilcox, and S. J. Pollock, ‘Student difficulties with boundary conditions in the context of electromagnetic
they had and some points they wanted to focus on. They were mostly satisfiedwith ChatGPT’s generated outlines, though they both decided to finetune them on their own.ChatGPT as a Tool for Equitable Access Based on the aforementioned case studies, I believe that I successfully presentedevidence of ChatGPT being leveraged by students to gain more equitable access to courses. Allof these case studies contained evidence of instructors observing how students used ChatGPT toimprove their individual learning and course experiences. Although this is true mostly forinternational students, I also gathered evidence of domestic students using ChatGPT to gainstronger access to course materials and succeed in classes. I draw upon Lalueza et al.’s [42
Grant Nos.2024301 and 2130924. Any opinions, findings, and conclusions or recommendations expressedin these materials are those of the author(s) and do not necessarily reflect the views of theNational Science Foundation.References[1] D. MacMillan and M. Laris, “After midair failure, critics ask: Did Boeing learn from Max crashes?,” Washington Post, Jan. 12, 2024. Accessed: Feb. 07, 2024. [Online]. Available: https://www.washingtonpost.com/business/2024/01/12/boeing-max-safety-crashes/[2] N. Kallioinen et al., “Moral Judgements on the Actions of Self-Driving Cars and Human Drivers in Dilemma Situations From Different Perspectives,” Front. Psychol., vol. 10, p. 2415, Nov. 2019, doi: 10.3389/fpsyg.2019.02415.[3] W. T. Lynch and R
tangible experiences provided by hands-onlabs, they equally recognize the significance of effective communication and personalgrowth.DiscussionThis research explored diverse engineering students’ perspectives on hands-on,remote, and virtual labs. The findings reveal that students have a significantpreference for hands-on and virtual labs. Because the hands-on lab can bring tangibleproblem-solving learning processes compared to the remote and virtual ones.However, students agreed with the remote and virtual labs’ flexible access andunlimited attempts, especially for those students who need more individual study andlive very far from physical labs, such as during the COVID. Specifically, this presentstudy agrees with Jahnke et al.'s (2023) study
determine which fields and methods identified the mostrelevant search terms within three keyword lists – Author Keywords, Keywords Plus, and Titlesand Abstracts.Of the total 78 search terms in the revised search statement, 68 search terms appeared in theTitles and Abstracts keyword list, with 10 not found. Seventeen search terms were not matchedwith keywords from Author Keywords, and the Keywords Plus set did not include thecorresponding search terms for 41. The high number of search terms not found in the KeywordsPlus set is consistent with the findings of Zhang et al.’s [26], which reported that keywords inKeywords Plus alone are not effective at representing the content of the article