Educate High-School Students in Studying Microbial Fuel Cell Dynamics. 2017 ASEE Mid Atlantic Section Spring Conference, ODE Examples of Questions for ChatGPT Implementation with Baltimore, Maryland, April 2017 Models Python in Google Colab
questions, a survey was sent to all engineering undergraduate transferstudents at a mid-sized, Mid-Atlantic university. The survey included basic demographicquestions (age, race, gender, major), transfer status, perception of transfer shock, and questionsregarding the participant’s social network. The social network questions asked the participant toname up to 10 of their closest friends at the university and answer demographic questions aboutthese friends (age, gender, major, and whether a friend is a transfer student). Participants thenidentified how they interacted with each friend and whether the friends they named knew oneanother in order to generate an ego network for each participant.Social network analysis was done using the software
program.Through a case study comprising six semesters at a Mid-Atlantic Historically Black University,this article contributes to exploring the impact of infusing command line programming into anintroductory course (CS2) and an intermediate level object-oriented programming (OOP) course.Moreover, it provides a direct comparative study that explores the impacts of command lineprogramming versus IDE and their respective impact on student learning. Details and outcomespertaining to this case study are discussed after the Literature Review section.2. Literature Review2.1 Tools for Early CS CoursesLiterature has provided much emphasis and empirical evidence as it pertains to programmingtools and their impacts on early CS majors upon exposure. There has been a
-manufacturing-facts[12] U.S. Bureau of Labor Statistics, "Virginia: Nonfarm employment and labor force data, seasonally adjusted, Mid-Atlantic Information Office," Retrieved on September 14, 2021, from https://www.bls.gov/regions/mid-atlantic/data/xg-tables/ro3fx9535.htm[13] U.S. Bureau of Labor Statistics, "17-3027 Mechanical Engineering Technologists and Technicians, Occupational Employment and Wages, May 2020," Retrieved on September 14, 2021, from: https://www.bls.gov/oes/current/oes173027.htm[14] Virginia Employment Commission, "Forecasted Employment and Wages by State and Local Workforce Development Area 1st Quarter 2009 - 4th Quarter 2019," Retrieved on September 14, 2021, from https
,” presented at the 2021 Fall ASEE Middle Atlantic Section Meeting, Nov. 2021, pp. 1–27. [Online]. Available: https://peer.asee.org/38425[12] S. Zhang et al., “Establishing a Research Experience for Teachers Site to Enhance Data Analytics Curriculum in Secondary STEM Education,” in 2021 ASEE Midwest Section Conference Proceedings, Virtual: ASEE Conferences, Nov. 2021, pp. 1–11. doi: 10.18260/1-2-1153-38350.[13] P. J. Harvey, O. Toutsop, and K. Kornegay, “Introducing and Facilitating Internet of Medical Things (IoMT) Research for Undergraduate Students and High School Teachers,” presented at the 2021 Fall ASEE Middle Atlantic Section Meeting, Nov. 2021, pp. 1–11. [Online]. Available: https
large mid-Atlantic institution. As described at 2023 ASEE Annual Meeting, we spentthe past few years increasing the response rate to the end-of-course survey and aim in the longerterm to increase the proportion of students who self-report their attainment of the course learningobjectives as either “Good” or “Excellent.” After reflecting upon these results and learning lessonsfrom previous course offerings, we are now introducing strategies to increase student engagementfurther and attain department metrics for the course. Starting in Fall 2023, 13 activities wereintroduced to improve the course. The activities can be grouped into three categories: (A)Demonstrating the worth of the course to the students; (B) Making class fun; and (C
understand how itinfluenced their sense of belonging on campus. The data for this study are a collection of semi-structured interviews with eight students spanning chemistry, chemical engineering, andbiochemistry at a large public Mid-Atlantic university. While the dataset contains thirty-twointerviews—one each year for four years across eight participants—the bulk of the discussion ofpre-college experiences occurred in the first- and second-year interviews. As noted above, abetter understanding of how students pre-emptively form their picture of the universityenvironment and how they fit into it would allow for better design and implementation ofsupport and interventions for students who are struggling to adjust. Addressing the challengesthat
possible.MethodsInstitutional Context The University of Virginia (UVA) is a mid-Atlantic, Research I and doctoral grantinginstitution with about 17,000 undergraduates of which around 18% entered the university in theengineering school. Each year between 600 to 700 first-time, first year undergraduatesmatriculated directly into engineering as engineering undeclared majors. We described the ethnicmakeup of the engineering students during the two survey periods examined in this study inTable 1.Table 1. Count (%) of Engineering Undergraduate Enrollment by Ethnicity by SurveyYear. African Multi- American Asian Hispanic Race Int’l Unknown White Total 2018 125 577 167 150
, Baltimore , Maryland. 10.18260/1-2—422958) Uhlig, R. P., & Jawad, S., & Sinha, B., & Dey, P. P., & Amin, M. N. (2023, June), Student Useof Artificial Intelligence to Write Technical Engineering Papers – Cheating or a Tool to AugmentLearning Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland.9) Subramanian, R., & Vidalis, S. M. (2023, October), Artificial Intelligence tools: Boon toEngineering Education or a threat? Paper presented at 2023 Fall Mid Atlantic Conference:Meeting our students where they are and getting them where they need to be, Ewing, New Jersey10) Jawad, S., & Uhlig, R. P., & Dey, P. P., & Amin, M. N., & Sinha, B. (2023, June), UsingArtificial Intelligence in
; Exposition, San Antonio, Texas. https://peer.asee.org/214148. Bachnak, R., & Attaluri, A., & Abu-Ayyad, M. (2020, March), Promoting Multidisciplinary Industry-SponsoredCapstone Projects Paper presented at 2020 Mid-Atlantic Spring Conference, Baltimore, Maryland.https://peer.asee.org/33940https://peer.asee.org/339409. Amin, A., & Jaafar, I., & Seibi, A., & Tolman, S., & Ballard, M. (2023, December), The Path to Improving theCapstone Course Paper presented at 2023 Rocky Mountain Section Conference , Golden, CO.https://peer.asee.org/4497010. Kurtanich, D., & Wood, W., & Garchar, E. (2008, June), Engineering Technology's Design Across TheDisciplines Paper presented at 2008 Annual Conference & Exposition, Pittsburgh
classes of first-year engineeringstudents at a large, public university in the Mid-Atlantic region of the U.S..This paper highlights the initial steps of a larger study that seeks to understand the impact of afeedback intervention on peer feedback quality. The potential impact can be elucidated bycomparing comments from students who received the intervention with students from a previousyear who did not. This paper describes the development of a rubric to assess peer feedbackquality that arose from the implementation and evaluation of the intervention. To examine thisprocess, we ask the following research questions: 1. How did exposure to a feedback intervention in a first-year engineering course impact the quality of
attendance and quiz completion in subsequent weeks (after a missed quiz or class).IntroductionThis paper discusses interactions with students and career advisors in a sophomore-level signalsand systems course in the Bradley Department of Electrical and Computer Engineering at VirginiaPolytechnic Institute & State University, a large mid-Atlantic university, that is designated by theNational Science Foundation as a minority-serving institution. The course has been offered eachsemester since Spring 2021 (Spring 2021, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall2023, and Spring 2024) [1]. This paper aims to describe interactions with students’ academicadvisors in a sophomore level Signals and Systems course and how asking the faculty
team satisfactionand team cohesiveness. Therefore, by comparing interdisciplinary and within-disciplinary collaboration, thispaper aims to determine whether and how collaborative learning affects teamwork experienceswhen conducted in interdisciplinary and disciplinary teams.Methods This mixed-methods study lasted seven semesters, from Fall 2019 to Fall 2022, at a largepublic university in the Mid-Atlantic region.A total of 249 undergraduate engineering students (UES) participated in the study. Participantssigned a consent form to enroll in the study. Participating students were assigned to either acomparison or treatment group based on their semester and course section (Table 1). Semester Implementation Fall 2019
, construction sequencing, and potential safety hazards. (Resolve, 2024) Arkio: This VR platform is more to experience the environment of the 3D model. Students can design interiors, sketch/change buildings in their 3D model, and design the environment and surroundings of the building. This allows different design options on-site for the student to create. (Arkio, 2024)Some of these programs have been adopted, used for certain lecture topics, used for senior capstoneprojects, or are under review for future adoption.Examples of VT Usage in Civil Engineering EducationThe VR programs discussed in the previous section are some that have been used in a classroom setting foreducational purposes. Penn State Harrisburg courses
stakeholders, assisting with data collection, and data analysis procedures. She obtained her Bachelor’s degree in Cross-cultural Studies from Palm Beach Atlantic University.Prof. David C. Mays, University of Colorado Denver David Mays is an Associate Professor in the Department of Civil Engineering at the University of Colorado Denver. He earned his B.S. from the University of Pennsylvania in 1995, then taught high school through Teach for America and worked as a contractor at Los Alamos National Laboratory before earning his M.S. and Ph.D. from the University of California Berkeley in 1999 and 2005, respectively. He has been at CU Denver since 2005, where he applies ideas from complex systems science to study flow in
, which is a technical elective course formechanical engineering students during which the study was conducted. Two sections wereoffered with a total of 31 students. The course was taught at two different locations in a combinedmode of instruction – simultaneously online synchronous to the rural location (Tyler) and face-to-face in the urban location (Houston). There were different underrepresented groups in thecombined sections including about 10% of the students were women, about 7% of the studentswere considered to have disabilities or ADA, and about 39% of the students were Hispanic. Theface-to-face section in an urban setting, which also had an online synchronous option during thesemester to accommodate for Covid guidelines per university
searching for alternative waysto actively involve faculty in educational issues related to the mental health of engineering students– such as the implementation of faculty book clubs.Book clubs have been previously used as a professional development tool in higher education [15],[16], [17]. However, the use of book clubs to explore educational issues is less popular in sciencefields, and even less in engineering [18], [19]. Thus, this Lessons Learned paper focuses ondescribing our experience of running a summer book club for supporting engineering facultydevelopment on critical educational issues related to the mental health of college students. Thebook club invited engineering educators from a large R1 institution in the Mid-Atlantic toparticipate
Role Identities and Future-Time Perspectives,” J of Engineering Edu, vol. 109, no. 3, pp. 362–383, Jul. 2020, doi: 10.1002/jee.20324.[19] B. J. Sottile, L. E. Cruz, Y.-A. L. Burleson, and K. McLain, “It’s about time: An analysis of student activities under remote learning,” presented at the 2021 ASEE Virtual Annual Conference, Virtual Conference, Jul. 2021. [Online]. Available: https://peer.asee.org/37412[20] B. J. Sottile, L. E. Cruz, and K. McLain, “Through The Looking Glass: STEM Students’ Changing Relationships with Time Across the COVID-19 Pandemic,” presented at the Spring 2022 ASEE Mid-Atlantic Section Conference, Newark, NJ, 2022. [Online]. Available: https://peer.asee.org/40075[21] J. W. Creswell and V. L
fora rubber band launcher based on this benchmark design (Model PL7920, Funtime).Course EvaluationThe primary aim of the Technical Communications course, as described in the previous section,was for first-year engineering students to develop multiple, industry-aligned communicationskills. A preliminary evaluation was conducted to determine if the course was meeting this goal.The study setting was a large-enrollment introductory design course taken by second semester,first-year, mechanical engineering students at a mid-sized university in the Mid-Atlantic region.Most students in the course had already taken a university-required general composition coursethe prior semester. The course was taught as a single lecture section that met twice weekly
on qualitative analysis ofstudent performance on exam problems administered before and after the project, theirperformance on structural analysis of their prototypes during the project, and their responses toan exit survey. Subsequent to qualitative analyses, we performed statistical analyses to determinewhat quantitative differences existed, if any, in student performance on structural analysis beforeand after the project. This method allowed us to discern the quality of student learning throughconvergent data analysis and triangulation.Context and ParticipantsThe study setting was a single, large-enrollment section of a statics course that enrolled firstsemester sophomore year mechanical engineering students (N = 155) at a mid-sized
. Radford et al., “Language models are unsupervised multitask learners,” OpenAI Blog, vol. 1, no. 8, p. 9, 2019.[5] S. J. Russell and P. Norvig, Artificial intelligence a modern approach. London, 2010.[6] J. White et al., “A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.” arXiv, Feb. 21, 2023. doi: 10.48550/arXiv.2302.11382.[7] R. Budish, “AI’s Risky Business: Embracing Ambiguity in Managing the Risks of AI,” J. Bus. Technol. Law, vol. 16, p. 259, 2021.[8] S. Aggrawal and K. Dittman, “Preparing Engineers for the Future: Project Management for Developing Generative AI,” presented at the 2023 Fall ASEE Mid Atlantic Conference, New Jersey, NJ, 2023.[9] X. Ferrer, T. van Nuenen, J. M. Such, M. Coté, and N. Criado
developing technologies andproducts for all people.MethodsThe following sections will describe Rowan University, the setting for the study, and the datacollection and analysis methods selected to address the posed research questions.Setting/institutional contextRowan University is a public institution located in the mid-Atlantic region of the United States.According to the university’s website (blinded for peer review), 36% of students identify asunder-represented/minoritized groups. Roughly 50% of the student population self-identifies as“woman.” 63% of students self-identify as white. Rowan University has a Division of Diversity,Equity, and Inclusion, which oversees training and professional development opportunities forfaculty, staff, and
? 3. How do students perceive the intervention? Do these perceptions differ based on factors such as sociodemographic, precalculus experience and calculus experience?This research project is supported by HHMI Inclusive Excellence 3 (IE3) Learning Community atthe University of Virginia.ContextThis IRB approved study occurred at the University of Virginia, a large, research-intensive, public,predominately white institution (PWI) in the Mid-Atlantic region of the U.S. At our institution,students apply to and are accepted directly into the School of Engineering & Applied Science. Allengineering students are required to have credits for Single Variable Calculus II and MultivariableCalculus as part of the engineering
techniques into undergraduate CS and SE curricula,” 2013 IEEE Frontiers inEducation Conference (FIE), Oct. 2013. doi:10.1109/fie.2013.6685056[23] X. Liu, R. K. Raj, T. J. Reichlmayr, A. Pantaleev, and C. Liu, “Teaching service-orientedprogramming to CS and SE undergraduate students (abstract only),” Proceedings of the 45thACM technical symposium on Computer science education, Mar. 2014.doi:10.1145/2538862.2539013[24] Greenwood, L. L., Schneider, J., & Valentine, M. S. “Setting a course for student success:standards-based curriculum and capacity-building across risk prevention management systemdomains.” In 2018 ASEE Mid-Atlantic Section Spring Conference, April 6.[25] Greenwood, L., Schneider, J., & Valentine, M. “Environmental management
engineering education. Thesegoals were met by incorporating career exploration, collaboration, self-reflection, and diverselearning opportunities. The effectiveness of the course re-design was evaluated through surveysand interviews with students that took the course. The survey results showed, overwhelmingly,that the course increased their sense of connection to the engineering community. In addition,those students felt more confident in leading outreach activities regarding STEM education.There were two common themes identified from the interviews, sense of belonging andcommunity. Students were also able to identify their enduring goals and reasons for becoming anengineer [6].An intervention at a mid-Atlantic university showcased a positive impact
askedstudents to provide a list of their 10 closest friends in the field of Engineering at a mid-sized 3Mid-Atlantic University (using nicknames or initials to keep the survey anonymous). Thisquestion also asks for the friends’ gender, if they are the same race/ethnicity as the studentcompleting this survey, and how the student interacts with the listed friend (Studying/GroupWork, Extracurriculars, Coworkers, Friends outside of class, or Other), and how the listed friendsinteracted with each other (if at all). This data was used to determine the relationship betweenhomophily, the number and quality of friendships, and engineering students' self-efficacy
Council - Strengthening New York City(nyjobsceocouncil.org)[4] Chicago Apprentice Network. (n.d.). Bridging The Gap Between Talent and Opportunity - Anapprenticeship playbook to help companies address skills and training gaps to provide under-represented groups access to professional jobs. Chicago-ApprenticeNetwork_BridgingtheGap_Digital_Final.pdf (illinoisworknet.com)[5] Lam, R. K., Seo, D., Drini, M., & An, G. (2022, November). Soft Skills Enhanced Project-Based Pedagogy in the Community College Reflecting Apprenticeship and Industry Need. 2022ASEE Middle Atlantic Section Fall Conference, Penn State, Harrisburg, PA.[6] An, G., & Seo, D., & Mannes, D., & Lam, R. K. (2023, October), Promoting SuccessfulTechnical Apprenticeships
experience: One course at a timewhile considering the program as a whole.This WIP paper outlines the approach of introducing sustainability elements integrallythroughout a curriculum at a large mid-Atlantic R1 university, the University of Maryland,College Park. Sustainability is considered broadly to include the three pillars ofsustainability - environmental, social, and economic - but also explicitly addressesaspects from the Engineering for One Planet (EOP) framework - systems thinking andcritical thinking - as well as diversity, equity, and inclusion (DEI) and student agency orempowerment to act. These curricular aspects are often relegated to isolatedassignments, and the current approach is to instead thread these aspects cohesivelythroughout
presented at the Spring 2022 ASEE Mid-Atlantic Section Conference, New Jersey Institute of Technology, Newark, NJ. https://peer.asee.org/40075Sottile, B. J. (2023). Work in progress: What is ethical? A mixed methods study examining student, faculty, and stakeholder views on professional engineering ethics. Paper presented at the Spring 2023 ASEE Zone 1 Conference, The Pennsylvania State University, University Park, PA. https://peer.asee.org/44711Sottile, B. J. (2024a). Catastrophic failure is not an option: Reconsidering post-secondary engineering ethics education in a changing world. [Doctoral praxis, The Pennsylvania State University].Sottile, B. J. (2024b). The modern tenure system in higher
the United States. John has published on engineering-communication ped- agogy for many years, including papers on engineering ethics and communication; active-learning ped- agogies; and the intersection of engineering and theatre. He has also held multiple leadership roles at the section and national levels, including President of the Southeastern Section and the national Zone II Chair, and he presently serves as the ASEE Campus Representative for the University of Georgia. ©American Society for Engineering Education, 2024 The Bioengineering Professional Persona: A New Communication-Intensive Course for a New Program in a New- ish College of