of domain expert interaction in creating a robustly labeleddataset for the faculty support survey question. This interaction was critical in achieving highprecision, recall, and F1 scores (91.3% to 99.3%) in supervised learning models, indicating asuccessful prediction of themes in student responses.Our research provides evidence that the integration of expert knowledge can improve theefficiency and effectiveness of ASAC systems. It also demonstrates the potential to replacemanual coding with automated NLP coding, supported by moderate to substantial agreement(Cohen's kappa) between expert raters and between expert and NLP coding.This study not only presents a methodological innovation by merging expert interaction withunsupervised learning
. Mellat-Parast, "Effectiveness of case study in enhancing student learning in operations and supply chain management," Oper. Supply Chain Manag.: An Int. J., vol. 3, no. 1, pp. 49-58, 2014. http://doi.org/10.31387/oscm060037.[18] R. K. Yin, Case study research and applications: Design and methods, Sixth edition, SAGE, 2018.[19] J. Biggs, C. Tang, and G. Kennedy, Teaching for Quality Learning at University, 5th ed. Open University Press, 2022.[20] C. Bryan and K. Clegg, Eds., Innovative Assessment in Higher Education: A Handbook for Academic Practitioners, 2nd ed. Routledge, 2019.[21] M. Blaser, "Combining pre-class preparation with collaborative in-class activities to improve student engagement and
[37]. This perpetuates a systemic bias that undermines the agencyand expertise of disabled engineers and further marginalizes their presence within engineeringcommunities. By failing to recognize the diverse talents and contributions of disabled individuals,engineering education not only limits the representation of disabled professionals but also missesout on valuable insights and innovations that could enrich the field as a whole. Thus, there is anurgent need to shift the narrative surrounding disability in engineering towards one thatacknowledges and celebrates the expertise, lived experience, and potential of disabled engineers.On Disability Researchers in Engineering EducationThe absence of statistical evidence regarding disabled
increased the demand for workers who have good math, communication, problemsolving, and teamwork skills. Therefore, there is a need to equip students at early stage of highschool with the right transferable technology skill set, which fosters innovation and adapts to theever-changing industry needs.Northwest Ohio has the highest African American population within the state of Ohio (27%) [13],yet only 13% of our engineering technology students are minority students. Female students arealso disproportionately low (12%) in engineering technology program. The proposed projecttargets these two underrepresented populations (UP’s) by recruiting representative (includingminority and female) HS and CC educators who teaches predominantly minorities and
) includingengineering drawing, CAD, descriptive statistics, physical prototyping and design research skillsgrounded in humanistic inquiry. For the 8-week design project in the course, students work withour project partners - a school that supports individuals with extensive support needs, to designassistive technologies. I also teach Innovation through Design Thinking, a first year course thatfulfills students “introduction to design” engineering requirement and an open-ended projectbased engineering analysis lab for students in their second year.Debates about sociotechnical integration in engineering educationOne way in which we are conceptualizing engineering as conflict as a generative analyticalcategory is to connect it to ongoing debates about the social
, K. V., & Arment, A. R. (2013). Minority Student Perceptions of the Impact of Mentoring to Enhance Academic Performance in STEM Disciplines. Journal of STEM Education: Innovations and Research, 38-46.Kuh, G. D. (2008). High-Impact Educational Practices: What They Are, Who Has Access to Them, and Why They Matter. Washington D.C.: American Association of Colleges and Universities.Kuh, G. D. (2013). Ensuring Quality and Taking High-Impact Practices to Scale. Washington D.C.: American Association of Colleges and Universities.Lee, J. (2012). College for All: Gaps Between Desirable and Actual P–12 Math Achievement Trajectories for College Readiness. Educational Researcher, 43-55.Marshall, J. (2012). A
. This paper focuses on developing an integrated pedagogicalapproach tailored for this purpose. We propose a novel method that combines thesparrow-dissection and scaffolding technique with active and project-based learning (SDS-AL).This approach is designed to enhance students’ skills in designing, implementing, debugging, andoperating graph-based methods for robot path planning, filling a critical void in electricalengineering education.Sparrow-Dissection and Scaffolding (SDS) in engineering education is an innovative pedagogicalapproach that combines hands-on experiential learning with scaffolding techniques. This methodinvolves students dissecting real-world engineering problems, akin to how a biologist dissects asparrow to understand its
deeper insights into the long-term effects of using Scrum in educational settings. Additionally, incorporating quantitative measures, such as performance metrics or grades, could offer a more objective evaluation of the impact of Scrum on student learning and feedback processes. Exploring the adaptation of other agile methodologies in education could also provide valuable comparative insights. Overall, the study contributes to the growing body of literature on the application of agile methodologies in education and highlights the potential of Scrum in enhancing feedback accessibility and improving learning outcomes in undergraduate research settings. The findings of this study provide a foundation for further exploration into innovative
problems in healthcare. ©American Society for Engineering Education, 2024 Ideation Method Efficacy StudyIntroduction A key component of the engineering discipline is the ability to solve problems and comeup with innovative solutions. This study seeks to understand how introducing differentengineering ideation methods to participants during a problem-solving workshop impactsparticipants’ productivity, creativity, and confidence in their ideas during a short problem-solvingsession. Additionally, through analyzing how the different methods impact participants’ problem-solving processes, it is possible to understand the strengths of the different ideation methods andassess when they could
expressed that crops grown by our ancestors were more compatible with ourDNA, (b) an engineering teacher found that the ingenuity of family ancestors solved real-worldproblems which engineers still face today, and (c) language arts teachers discovered a multitudeof Spanish words that are not common and felt the need to find innovative and creative ways topreserve them through education. This program allows a connection between family andeducation.The evolution of AVE Frontera over the years revealed that sharing the ancestral knowledge offamily leaders could be used to enrich curricula and teaching practices within the classroom.These contributions by family leaders complemented Shelly’s urge to bring her students’ parentsinto her classroom to
, theideation of solutions that are responsive to both stakeholders needs and engineeringrequirements, and the use of prototyping as a mechanism to test ideas, communicate withstakeholders, and try innovative solutions. The goal of these sessions is to provide a frameworkto conduct socially engaged engineering design, providing students with opportunities to activelytry out a set of tools and practices that will support their design decisions and the generation ofengineering solutions.When C-SED works with an instructor or instructional team to implement engineering anddesign skills sessions, this partnership can range from a single session in a semester to acomprehensive collaboration to co-define course goals and outcomes and facilitate a series
, and engineering education efforts to create inclusive classrooms and programming.Dr. April Dukes, University of Pittsburgh Dr. April Dukes is the Faculty and Future Faculty Program Director for the Engineering Educational Research Center (EERC) and the Institutional Co-leader for Pitt-CIRTL at the University of Pittsburgh. April’s research and teaching efforts engage graduate students, postdocs, and faculty to inform and support systemic change toward excellence and inclusivity in higher education.Dr. Amy Hermundstad Nave, Colorado School of Mines Amy Hermundstad Nave is a Faculty Developer in the Trefny Innovative Instruction Center at the Colorado School of Mines. She earned a BS in Mechanical Engineering from
Paper ID #42162Constructing Consistent Comprehensive Searches in Large Engineering Databases—Tipsand Recommendations for Literature ReviewsDr. Sarah Over, Virginia Tech Dr. Sarah Over is the Engineering Collections and Research Analyst at Virginia Tech, serving as their Engineering Librarian and representative for their new Patent and Trademark Resource Center. She is also part of a team focused on research impact and intelligence to support the College of Engineering and Office of Research and Innovation at Virginia Tech. Dr. Over’s background is in aerospace and nuclear engineering, with years of experience teaching
working with multiple other setups in a network. The initialimplementation showed a high usability score, which means that the robotic platforms and theteaching modules were engaging to the students. The qualitative data confirmed these results.Future work includes attaching more end effectors and hardware like a conveyor belt, utilizing thecamera to add image recognition functions, and creating learning modules for different concepts.AcknowledgmentThe authors would like to thank the School of Engineering Design and Innovation at Penn Stateand the School of Engineering at Penn State Behrend, for their support and funding of this projectthrough the Research Development Fund program.References[1] A. Khanlari and F. M. Kiaie, "Using robotics for
current design methods. Dr. Walton-Macaulay believes that fostering diversity in teaching breeds innovation and is currently focused on engineering education research on socio-economic inequities in infrastructure.Dr. Moses Tefe, Norwich University Moses is currently an Associate Professor of Transportation Engineering at Norwich University, where he instructs students in Transportation Engineering, Surveying and Site Development. He graduated from the University of Alabama in August 2012 with a PhDDr. Scott R Hamilton P.E., York College of Pennsylvania Scott Hamilton is a Professor of Civil Engineering at York College of Pennsylvania. He is a registered Professional Engineer and has both a MS and PhD in civil
(Nind & Lewthwaite, 2017). It has also been applied in engineering education research (Case &Light, 2011; Godfrey & Parker, 2010; Stevens et al., 2013). Recently, story-driven learning has gained attention as an innovative pedagogy within thecontext of engineering education (Morgan et al., 2021). One of its aims is to improve students’entrepreneurial mindset in engineering education, which aligns well with the broader landscapeof engineering education. However, despite the important role of story-driven learning ingrowing the entrepreneurial mindsets of engineering students (Morgan et al., 2021; Turner et al.,under review), there has been little research examining the ways instructors use pedagogicalpractices that are unique
throughout the interviews.The general goal of the project was described to participants at the beginning of the interview asfollows: “The purpose of the research is to gain insight into how instructors in higher educationmake instructional design decisions, such as whether and how to incorporate research-basedpedagogical innovations. We are particularly interested in how instructors’ environments,including department culture, university policies, resources, etc., contribute to those decisions,which in turn affect students.” At the end of each interview, the interviewer asked participants ifthey had any other comments that might be useful for the project.Transcription was performed using Microsoft Word, and qualitative coding was performed
crafting a teaching philosophy, guiding students througharticulating their teaching strengths, and designing innovative teaching approaches that alignwith their strengths. Students use the art of “storytelling” to effectively communicate theirteaching ideas and approach. Additionally, teams of 2-3 students work together on a semester-long, hands-on project to design and create new courses or course material. As part of theproject, they must design a syllabus, course modules, projects, and assessments for theirhypothetical course. This gives them a unique opportunity to develop teamwork and sharemultidisciplinary ideas, creating inclusivity within the classroom.Figure 3. “In Class Poster Expo”, Fall 2023. Graduate students from different
Industrial and System Engineering. With a focus on bridging theory and practice, I intend to uncover the factors that shape the identities of doctoral engineering students, thereby contributing to enhancing academic programs and support mechanisms. Through rigorous analysis and innovative methodologies, I aim to generate insights that will inform policies and interventions to foster a conducive environment for the growth and success of future engineering scholars. ©American Society for Engineering Education, 2024 WIP: Preliminary Findings from NSF Award No. 2205033 - Research Initiation: Mapping Identity Development in Doctoral Engineering
.McGee, Ebony Omotola. Black, brown, bruised: How racialized STEM education stifles innovation. Harvard Education Press, 2021. Mondisa, J. L., & McComb, S. A. (2018). The role of social community and individual differences in minority mentoring programs. Mentoring & tutoring: Partnership in learning, 26(1), 91-113.National Academies of Sciences, Engineering, and Medicine (NASEM). (2020). The science of effective mentorship in STEMM. National Academies Press. O’Brien, E. (2000). Are we supposed to be colorblind or not? Competing frames used by whites against racism. Race and Society, 3(1), 41-59. Patton, L. D., & Bondi, S. (2015). Nice white men or social justice allies?: Using critical race theory to examine how
andapproved by the University of California, San Diego in accordance with its conflict of interestpolicies. In addition, a Small Business Innovation Research (SBIR) grant was awarded to eGroveEducation, Inc., by the NSF (Award # 1648534).References1) Bairaktarova, D., Van Den Einde, L., & Bell, J. (2019, June). Using digital sketching and augmented reality mobile apps to improve spatial visualization in a freshmen engineering course. In 2019 ASEE Annual Conference & Exposition.2) Clason, D. L., & Dormody, T. J. (1994). Analyzing data measured by individual Likert-type items. Journal of agricultural education, 35(4), 4.3) Delson, N., Qi, H., & Van Den Einde, L. (2023, July). The Impact of Freehand Sketch Training on Engineering
Paper ID #42410Credit-Hour Analysis of Undergraduate Students Using Sequence DataTushar Ojha, University of New Mexico Tushar Ojha is a graduate (PhD) student in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM). His work is focused on researching and developing data driven methods that are tailored to analyzing/predicting outcomes in the higher education space. He works as a Data Scientist for the Institute of Design & Innovation (IDI), UNM.Don Hush, University of New Mexico Dr. Hush has worked as a technical staff member at Sandia National Laboratories, a tenure-track
, and N. Ruggeri, “Mentored discussions of teaching: An introductory teaching development program for future STEM Faculty,” Innovative Higher Education, vol. 41, no. 3, pp. 237–254, Nov. 2015. doi:10.1007/s10755-015-9348-1[5] N. T. Buswell, “The purpose of a Phd in engineering: Where does teaching fit in?,” Studies in Engineering Education, vol. 1, no. 1, p. 83, Jan. 2021. doi:10.21061/see.8[6] R. M. Felder, “How students learn: Adapting teaching styles to learning styles,” Proceedings Frontiers in Education Conference, 1988. doi:10.1109/fie.1988.35029[7] N. S. Raj and V. G. Renumol, “A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020,” Journal of
developing innovative solutions The ability to comprehend data structures and the Data handling, Q8-Q15, Q17-Q18, language of data manipulation technology to harness Management and Database Q25, Q27, Q31, Q33, technology effectively for managing and proficiency - Big Data, Q36, Q41-Q42, Q48. Data Management12 Data Preparation and & Handling Skill manipulating both small and big data sets to explore Exploration proficiency. and prepare data, ensuring its
learning," 2016 IEEE 8th International Conference on Engineering Education (ICEED), Kuala Lumpur, Malaysia, 2016, pp. 137-142, doi: 10.1109/ICEED.2016.7856059.[19] E. F. Redish, “A Theoretical Framework for Physics Education Research: Modeling Student Thinking,” Paper presented at the International School of Physics, "Enrico Fermi", Course CLVI, Varenna, Italy, July 15-25, 2003.[20] Y. Jin, J. Sun, H. Ma and X. Wang, "The impact of different types of scaffolding in project-based learning on girls' computational thinking skills and self-efficacy," 2021 Tenth International Conference of Educational Innovation through Technology (EITT), Chongqing, China, 2021, pp. 362-366, doi: 10.1109/EITT53287.2021.00077.[21] A. Saparon, B. C
, conference presentations,and plan for future research.AcknowledgementsFunding was provided by National Science Foundation grant EEC- 2306099.References[1] A. Godwin, “The development of a measure of engineering identity,” in 2016 ASEE annual conference & exposition, New Orleans, Louisiana, 2016.[2] J. P. Martin, D. R. Simmons, and S. L. Yu, “The Role of Social Capital in the Experiences of Hispanic Women Engineering Majors,” J. Eng. Educ., vol. 102, no. 2, pp. 227–243, 2013, doi: 10.1002/jee.20010.[3] “Engineering by the Numbers,” ASEE, 2019.[4] M. S. Aruguete and A. V. Katrevich, “Recognizing Challenges and Predicting Success in First-Generation University Students,” J. STEM Educ. Innov. Res., vol. 18, no. 2, Jul. 2017
. (2004). The language of science. The collected works of M.A.K. Halliday ; v. 5. New York ; London: Continuum.Hart-Davidson, W. (2018). “Writing with robots and other curiosities of the age of machine rhetorics.” In The Routledge handbook of digital writing and rhetoric, Ed. Jonathan Alexander and Jacqueline Rhodes. 248-255.Hodges, A. & Ponce, T. (2022, July). “Anti-Racism, Linguistic Diversity, and Technical Editing.” In 2022 IEEE International Professional Communication Conference (ProComm) (pp. 53-56). IEEE.Holly, J., & Comedy, Y. (2023). Whitey on the moon: Racism’s maintenance of inequity in invention & innovation. Technology & Innovation.Huttner-Koros, A. (2015) “The Hidden Bias of
. His dedication, attention to detail, andanalytical skills greatly enhanced the quality of our findings. We are grateful for his hard work,enthusiasm, and commitment throughout the project.This material is based upon work supported by the National Science Foundation under AwardNumber 2130398. Any opinions, findings, and conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.REFERENCES[1] A. Kapoor and C. Gardner-McCune, “Understanding CS Undergraduate Students’ Professional Identity through the lens of their Professional Development,” in Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education
Maintaining Effective Research Teams. IEEEComputer Society.[7] Bernat, A., Teller, P.J., Gates, A., Delgado, N., & Della-Piana, C.K. (2000, July). Structuringthe student research experience. In Proceedings of the 5th Annual SIGCSE/SIGCUE ITiCSEConference on Innovation and Technology in Computer Science Education, pp. 17-20[8] Gates, A. Q., Hug, S., Thiry, H., Aló, R., Beheshti, M., Fernandez, J., & Adjouadi, M. (2011).The Computing Alliance of Hispanic-Serving Institutions. ACM Transactions on ComputingEducation, 11(3), 1–21. doi:10.1145/2037276.2037280[9] Villa, E. Q., Kephart, K., Gates, A. Q., Thiry, H., & Hug, S. (2013). Affinity Research Groupsin practice: Apprenticing students