Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiuhao Ding, University of Illinois at Urbana - Champaign; Meghana Gopannagari, University of Illinois at Urbana - Champaign; Kang Sun, University of Illinois at Urbana - Champaign; Alan Tao, University of Illinois at Urbana - Champaign; Delu Louis Zhao; Sujit Varadhan, University of Illinois at Urbana - Champaign; Bobbi Lee Battleson Hardy, University of Illinois at Urbana - Champaign; David Dalpiaz, University of Illinois at Urbana - Champaign; Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign; Lawrence Angrave, University of Illinois at Urbana - Champaign; Hongye Liu, University of Illinois at Urbana - Champaign

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, factualconsistency, and comprehensiveness. Coherence means the capability to summarize qualitativedata input into a coherent piece of information with cohesion. Factual consistency evaluateswhether each meaning unit in the summary is backed up by the qualitative data. Importantly, wealso added whether information found in the source qualitative data is represented in thesummary. Comprehensiveness evaluates the extent to which the summary reached thecomprehensiveness of the source qualitative data [6]. We dropped “harmfulness” from Tang et al.’s evaluation scheme since the data in this project does not have the clear physiological harms inthe biomedical studies. We adopted a 5-point Likert scale with 1 being “the least satisfied” and 5being “the most

Conference Session

Design in Engineering Education Division (DEED) - Best in DEED

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gail Baura, Loyola University Chicago; Francisca Fils-Aime, Loyola University, Chicago; Nancy Lynn Raschke Deichstetter DNP, RN, CEN, CHSE, Loyola University, Chicago; Joanne O'Grady Dunderdale DNP, RN , Loyola University, Chicago

Tagged Divisions

Design in Engineering Education Division (DEED)

] J. Walther, S. E. Miller, and N. W. Sochacka, "A Model of Empathy in Engineering as a Core Skill, Practice Orientation, and Professional Way of Being," Journal of Engineering Education, vol. 106, no. 1, pp. 123-148, 2017, doi: https://doi.org/10.1002/jee.20159.[9] J. L. Hess, J. Strobel, and A. O. Brightman, "The Development of Empathic Perspective- Taking in an Engineering Ethics Course," Journal of Engineering Education, vol. 106, no. 4, pp. 534-563, 2017, doi: https://doi.org/10.1002/jee.20175.[10] J. O. James, V. Svihla, C. Qui, and C. Riley, "Using Design Challenges to Develop Empathy in First-year Courses," in 2018 ASEE Annual Conference & Exposition, Salt Lake City, UT, 2018: ASEE. [Online

Conference Session

Engineering Inclusivity: Challenging Disparities and Cultivating Resilience in Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Joel Alejandro Mejia, The University of Texas at San Antonio; M. Sidury Christiansen, The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

Conference Session

Educational Research and Methods Division (ERM) Technical Session 28

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mitchell Gerhardt, Virginia Polytechnic Institute and State University; Nicole P. Pitterson, Virginia Polytechnic Institute and State University; Emily Dringenberg, The Ohio State University; Benjamin Ahn, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

. Lebdaoui, “How fashion influencers contribute to consumers’ purchase intention,” J. Fash. Mark. Manag. Int. J., vol. 24, no. 3, pp. 361–380, Jan. 2020, doi: 10.1108/JFMM-08-2019-0157.[11] P. D. Dobbs, P. Branscum, A. M. Cohn, A. P. Tackett, and A. L. Comiford, “Pregnant smokers’ intention to switch from cigarettes to e-cigarettes: A Reasoned Action Approach,” Womens Health Issues, vol. 31, no. 6, pp. 540–549, Nov. 2021, doi: 10.1016/j.whi.2021.07.005.[12] M. S. Hagger, J. Polet, and T. Lintunen, “The reasoned action approach applied to health behavior: Role of past behavior and tests of some key moderators using meta-analytic structural equation modeling,” Soc. Sci. Med., vol. 213, pp. 85–94, Sep. 2018, doi: 10.1016

Conference Session

Sociotechnical Integration and Programmatic Reform

Collection

2024 ASEE Annual Conference & Exposition

Authors

Chelsea Salinas, Colorado School of Mines; Dean Nieusma, Colorado School of Mines

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

Conference Session

Engineering Management Division (EMD) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Diego Alejandro Polanco-Lahoz, Texas Tech University; Jennifer A Cross, Texas Tech University

Tagged Divisions

Engineering Management Division (EMD)

excluded). Remove duplicates Figure 3. Review protocol for the study. In stage two, similarly as done previously, there were five phases. The identification ofresearch was made considering the search phrase used from the review protocol. This phrase wastaken from the previous study and is the one that provides the most results to search for studiesrelating to OR in HEIs contexts. The phrase considers two options for Organizational concept(with z and with s), as well as three options for HEIs (Higher Education, University, andCollege). The phrase was used searching in the “all fields” option for each database. Theselection of studies was made by checking the first

Conference Session

Increasing Engagement in Engineering Ethics Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jessica Wolf, University of British Columbia; Gayatri Gopalan, University of British Columbia; Christoph Johannes Sielmann P.Eng., University of British Columbia

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics Division (ETHICS)

Conference Session

Engineering, Ethics, and Community Engagement

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emma Sophie Stine, University of Colorado Boulder; Amy Javernick-Will, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division (COMMENG)

. Eng.‬‭Educ.‬‭, vol. 24, no. 2, pp. 51–60, Jul.‬ ‭2019, doi: 10.1080/22054952.2019.1693123.‬ ‭[5]‬ ‭S. Niles, S. Contreras, S. Roudbari, J. Kaminsky, and J. Harrison, “Bringing in ‘The‬ ‭Social’ : Resisting and Assisting Social Engagement in Engineering Education,” in‬‭2018‬ ‭World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC)‬‭,‬ ‭Nov. 2018, pp. 1–6. doi: 10.1109/WEEF-GEDC.2018.8629756.‬ ‭[6]‬ ‭J. Smith, A. L. H. Tran, and P. Compston, “Review of humanitarian action and development‬ ‭engineering education programmes,”‬‭Eur. J. Eng. Educ.‬‭,‬‭vol. 45, no. 2, pp. 249

Collection

2013 GSW

Authors

Oscar N. Garcia; Garima Bajwa; Cynthia L. Claiborne; Shanti R. Thiyagaraja; Mohamed Fazeen; Eric H. Pruett

 express the program pthat runs in M and produces s as an output. The smallest possible L(p) for a given s over allprograms and all machines that outputs s is the Kolmogorov measure of information in Xrelative in complexity to M represented as: KM(s) = min(L(p))+CM where CM is the number of bitsthat it takes to describe the machine M, a quantity that is independent of s. Since a Turingmachine may simulate any other machine, it may be used to estimate CM except that we cannot Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright 2013, American Society for Engineering Educationbe sure of a

Conference Session

Educational Research and Methods Division (ERM) Technical Session 13

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ann Shivers-McNair, University of Arizona; Gimantha N. Perera, North Carolina State University; Hannah Budinoff, The University of Arizona; Vignesh Subbian, The University of Arizona; Francesca A López, Penn State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Collection

2009 Pacific Southwest Section Meeting

Authors

Paul Blowers

Conference Session

K-12 Students and Teachers

Collection

2011 ASEE Annual Conference & Exposition

Authors

Tirupalavanam G. Ganesh, Arizona State University

Tagged Divisions

Educational Research and Methods

author(s) and donot necessarily reflect the views of the National Science Foundation (NSF). Page 22.208.2This paper has materials that will appear in: Ganesh, T. G. (in press). Children-produced drawings: aninterpretive and analytic tool for researchers. In E. Margolis & L. Pauwels, (Eds.). The Sage Handbook ofVisual Research Methods. London, UK: Sage. The author thanks Sage for the use of these materials.Review of the LiteratureThe use of children-produced drawings in research is not new. Margaret Mead used subject-produced drawings as contemporary responses by the public to events that represented rapidtechnological change after

Conference Session

Track 2: Technical Session 5: Understanding Decision Processes Related to Pathways of Community College Engineering Students

Collection

2024 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Rene Alberto Hernandez, Virginia Tech; David B Knight, Virginia Polytechnic Institute and State University; Walter C. Lee, Virginia Polytechnic Institute and State University; Amy Richardson, Virginia Tech Department of Engineering Education; Sarah Rodriguez, Virginia Tech; Bevlee A. Watford, Virginia Polytechnic Institute and State University

Tagged Topics

CoNECD Paper Sessions, Diversity

Decision Short-Term Decision MakingNote. Adapted from Where to Go from Here? Toward a Model of 2-Year College Students’Postsecondary Pathway Selection,” by K.R. Wickersham, 2020, Community College Review,48(2), 107-132. MethodsThe current study forms part of a broader investigation into an S-STEM program designed toenhance the academic success of engineering transfer students transitioning from communitycolleges to bachelor's degree programs. This initiative aimed to establish stronger connectionsbetween two community colleges and a partnering 4-year institution. We employed a qualitativeresearch approach to examine the influence of the pre-transfer program, referred to as VirginiaTechs Network for

Collection

2024 South East Section Meeting

Authors

Tim Ransom, Clemson University; Randi Sims, Clemson University; Jessica Allison Manning, Clemson University

Tagged Topics

Diversity

this differs from their understandingof education research through their next sentence: ”But education research is not that way, where there is always a correct answer.” - Participant 4Participant 4’s statement indicates how many graduate students in the ESED department use their linguistic capital fromtheir specific disciplines within education research. Similar to other graduate students within ESED, participant 4 brings theirdisciplinary expertise into the L&L space; which melds with the language from other STEM disciplines, resulting in a richmethod of communicating research to people in and outside of the space. In another statement, participant 4 also explains howthey value the linguistic capital others bring. ”It’s important

Collection

2024 ASEE North Central Section Conference

Authors

Mohammed Ferdjallah, Marshall University; Asad Salem, Marshall University

curve fittedthe plot, generated experimentally39, by an exponential function given by the following expressionas follows: 𝐹(𝑠) = 100(1 − exp (−0.0145𝑠1.165 ) (5)Where s is the size of the particle in m. F(s) is the percent proportion of the particle of a specificsize contained in the coal flay ash. To determine the amount of coal fly ash settled we used thecoal-fired power plant capacity. The power capacity of the coal-fired power plant is used todetermine the amount (in short tons) of coal that is necessary to maintain the electrical capacity ofthe plant. We determine the total yearly coal by the following expression as follows. Proceedings of the 2024 ASEE

Collection

2024 ASEE North Central Section Conference

Authors

Christopher Gioia, Slippery Rock University; Samantha (Sami Bortz

Conference Session

FPD I: Attacking the Problems of Retention in the First Year

Collection

2011 ASEE Annual Conference & Exposition

Authors

Alan D. Niemi, LeTourneau University; Robert W. Warke, LeTourneau University

Tagged Divisions

First-Year Programs

; Exposition, Annual Conference, 2004.4 Flemming, L., Engerman, K., and Williams, D. ―Why Students Leave Engineering: the Unexpected Bond,‖Proceedings of the 2006 American Society for Engineering Education Conference& Exposition, Annual Conference,2006.5 Fortenberry, N., Sullivan, J., Jordan, P., and Knight, D., ―Engineering Education Research Aids Instruction,‖Science, Vol. 317, 2007.6 Ohland, M., Sheppard, S., Lichtenstein, G., Eris, O., Chachra, D., and Layton, R., ―Persistence, Engagement, andMigration in Engineering Programs,‖ Journal of Engineering Education, July 2008.7 Seymour, E., and Hewitt, N., Talking About Leaving: Why Undergraduates Leave the Sciences, Westview Press,Boulder, CO, 20008 Zhang, G., Min,YK., Ohland, M., and

Conference Session

Impacts on K-12 Student Identity, Career Choice, and Perceptions of Engineers

Collection

2014 ASEE Annual Conference & Exposition

Authors

Cheryl Carrico P.E., Virginia Tech; Holly M. Matusovich, Virginia Tech; Marie C. Paretti, Virginia Tech; Matthew Arnold Boynton PE P.E., Virginia Tech

Tagged Divisions

K-12 & Pre-College Engineering

collegemajor, including engineering. However, research has also shown that interest is not necessarilythe primary reason for career choice within underrepresented groups. The purpose of this paperis to present how interest relates to engineering as a career choice for a group historicallyunderrepresented in engineering. Using the Social Cognitive Career Theory as a frame work,high school and college engineering students from Appalachia were interviewed concerningcareer choices to answer the research questions: What role(s) does interest play in engineeringcareer choices of Appalachian students? How do such roles differ for high school and collegestudents? To answer the research questions, qualitative data from a total of 36 junior and seniorhigh

Conference Session

An Examination of Methods to Enhance Transfer Student Enrollment, Retenion, Persistence, and Outcomes

Collection

2014 ASEE Annual Conference & Exposition

Authors

David B. Knight, Virginia Tech Department of Engineering Education; Inger M. Bergom, University of Michigan; Brian A. Burt, University of Michigan; Lisa R. Lattuca, University of Michigan

Tagged Divisions

Two Year College Division

Conference Session

The Nature of Innovation and Entrepreneurship Session 4

Collection

2014 ASEE Annual Conference & Exposition

Authors

William A. Kline, Rose-Hulman Institute of Technology; William D. Schindel, ICTT System Sciences

Tagged Divisions

Entrepreneurship & Engineering Innovation

Conference Session

Research Initiatives

Collection

2013 ASEE Annual Conference & Exposition

Authors

Helena Isabel Scutt, Stanford University; Shannon Katherine Gilmartin, Stanford University; Sheri Sheppard, Stanford University; Samantha Ruth Brunhaver, Stanford University

Tagged Divisions

K-12 & Pre-College Engineering

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hatem M Wasfy, Advanced Science and Automation Corp.; Tamer M. Wasfy, Indiana University Purdue University, Indianapolis; Riham M Mahfouz, Thomas Nelson Community College; Jeanne Peters, Advanced Science and Automation Corp.

Tagged Divisions

Computers in Education

topicabout internal combustion engine dynamics, the system can take the student to prerequisite topicsfrom courses in algebra and physics. In this case the curriculum is not delivered as successivecourses; rather topics from different courses can be seamlessly woven together during curriculumdelivery. This ensures the shortest time span between the time at which the student takes a giventopic and the time at which he/she covers its prerequisite topic(s). Figure 5. Knowledge object from an online centrifugal pump maintenance course. Thehierarchical list on the left has the headings of other knowledge objects that constitute the course.3) Setting Learning GoalsA common problem with traditional learning is that it tends to teach all students the

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Karcher Morris, University of California, San Diego; Jaclyn Duerr, University of California, San Diego; Saharnaz Baghdadchi, University of California, San Diego; Bill Lin, University of California, San Diego

Tagged Topics

NSF Grantees Poster Session

; ReflectionThe results in this section are drawn from ten UCSD EMPOWER scholar responses to the surveyquestionnaire. Summarized responses are categorized into the corresponding survey sections“Transition to a 4-year University”, “Participating in the Program”, “Future Participation in theProgram”, and “Sense of Belonging”. The full, deidentified responses are found in Appendix A.Survey respondents’ demographic information:Figure 3: a) Identified Gender, b) Identified Race or Ethnicity, and c) Highest EducationalDegree Completed by Parent(s)/Guardian(s) for survey respondentsA. Transition to a 4-year UniversityThe first five questions asked to students are intended to gauge their experience transitioning intoa 4-year university. In general, the

Conference Session

Design in Engineering Education Division (DEED) - Emerging and Sustainable Design Practices

Collection

2025 ASEE Annual Conference & Exposition

Authors

Maryam Heidaripour, University of the Pacific

Tagged Divisions

Design in Engineering Education Division (DEED)

Conference Session

Faculty Development: Student Engagement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Connie Syharat, University of Connecticut; Sarira Motaref P.E., University of Connecticut; Marisa Chrysochoou, University of Missouri - Columbia

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division (FDD)

students without requiring significantadditional workload. These findings point toward the key role of instructor mindset in buildingmore neuroinclusive environments. Future efforts may explore the role of AI technology inproviding personalized learning tools and supporting neuroinclusive practices more efficiently sothat educators can maintain these practices without burnout. Longitudinal studies are needed toassess their long-term impact on student success and retention in engineering programs.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1920761. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily

Conference Session

Tech Session 3: Emerging Trends in Engineering Education: AI, Clean Energy, and Curriculum Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Matthew Yukio Takara, Carnegie Mellon University; Fethiye Ozis P.E., Carnegie Mellon University; Allison E. Connell Pensky, Carnegie Mellon University

Tagged Divisions

Environmental Engineering & Sustainability Division (ENVIRON)

Technology and Science (CloudCom), Dec. 2016, pp. 633–638. [Online]. Available: https://doi.org/10.1109/CloudCom.2016.0109 [6] N. Nellore and M. Zimmer, “Towards a Systematic Review of Data Science Programs: Themes, Courses, and Ethics,” in Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2, ser. SIGCSE 2023. New York, NY, USA: Association for Computing Machinery, Mar. 2023, p. 1413. [Online]. Available: https://doi.org/10.1145/3545947.3576356 [7] A. Badir, S. Tsegaye, and L. D. Nguyen, “Data Science in the Civil Engineering Curriculum,” Jun. 2023. [Online]. Available: https://doi.org/10.18260/1-2--42870 [8] D. Asamoah, D. Doran, and S. Schiller, “Teaching the Foundations of Data Science: An

Conference Session

Mechanics Division (MECHS) Technical Session 1A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Dave Kim, Washington State University-Vancouver; Charles Riley P.E., Oregon Institute of Technology

Tagged Divisions

Mechanics Division (MECHS)

(n=60) 7The GAI tools’ compatibility with human assessor assessment results depends on rubric structureand language. We used MECH 309’s Fall 2022 samples to investigate discrepancies betweenhuman assessor scores and GAI-generated scores within the lab using one rubric. The lab’srubric, shown in Table A.2, had four criteria: 1) technical background, 2) tables and figures, 3)data analysis and comparisons, and 4) structure and conventions. Table 2 presents average scoresand % difference for each rubric criterion. The smallest % difference was observed in Criterion1) technical background, as this criterion requires evaluating consistent

Conference Session

AI, Technology, and Data-Driven Learning in Biomedical Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Viswajith Siruvallur Vasudevan, Cornell University; Shivaun D Archer, Cornell University; Jonathan T. Butcher, Cornell University

Tagged Divisions

Biomedical Engineering Division (BED)

Conference Session

Track 4: Technical Session 7: An exploration of the relationship between physical, social, and emotional resource access and the development of engineering identity and belonging

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Anne-Marie C.A. Zamor, Rowan University; Justin Charles Major, Rowan University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

as academic performance and retention.‬‭ ethods‬M‭This‬ ‭particular‬ ‭study‬ ‭is‬ ‭part‬ ‭of‬ ‭a‬ ‭larger‬ ‭project‬ ‭investigating‬ ‭“chosen‬ ‭family”‬ ‭in‬ ‭engineering‬ ‭education‬ ‭[9],[22].‬ ‭Authors‬ ‭[22]‬ ‭describe‬‭chosen‬‭family‬‭as‬‭“person[s]‬‭outside‬‭of‬‭the‬‭[student’s]‬ ‭traditional‬ ‭family‬ ‭with‬ ‭individual‬ ‭or‬ ‭institutional‬ ‭power‬ ‭who‬ ‭genuinely‬ ‭and‬ ‭empathetically‬ ‭support‬ ‭and‬ ‭uplift‬ ‭[students]‬ ‭disrupting‬ ‭the‬ ‭[student’s]‬ ‭place‬ ‭amongst‬ ‭the‬ ‭structure-‬ ‭agency‬ ‭dialectic,‬‭and‬‭in‬‭turn,‬‭instilling‬‭a‬‭strong‬‭sense‬‭of‬‭belonging”‬‭(p.‬‭2-3).‬‭In‬‭short,‬‭chosen‬‭families‬‭are‬ ‭families‬ ‭students‬ ‭choose,‬ ‭who‬ ‭help‬ ‭the‬ ‭student‬ ‭enact‬ ‭agency‬ ‭in‬ ‭light‬ ‭of‬

Conference Session

Track 5: Technical Session 4: Fostering an Inclusive Community Among Electrical Engineering Students with Mixed-Reality Technologies at a Hispanic-Serving Institution

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Preeti De Maurya, New Mexico State University; Hilda Cecilia Contreras Aguirre, New Mexico State University; Theoderic Thomas Platt, New Mexico State University; Cristina Miriam Esparza, New Mexico State University; REDWAN UL HAQ CHOYON, New Mexico State University; Bill Hamilton, New Mexico State University; Marshall Allen Taylor, New Mexico State University; Luis Rodolfo Garcia Carrillo, New Mexico State University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

ECE. Data was aggregated fromthe HSI’s Office of Institutional Analysis for the 2021-2022 academic year.increase their influence in the learning process and their success [10, 11]. However, research hasfound that a lack of sense of belonging is a determinant factor in a student’s decision to leaveengineering [12]. The relationships a student develops with their peers, teachers, and faculty canaffect that sense, influencing student performance, well-being, and the decision to stay/leave theirengineering program [13, 12]. The students who appear to have greater difficulty with their senseof belonging are those who are often underrepresented in the STEM/Engineering field(s), such aswomen or students with minoritized racial/ethnic identities [10