Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ioana A. Badara, Post University; Buket D. Barkana, The University of Akron; Deana A. DiLuggo, University of Bridgeport

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Final lab report 120 points Lab notebook checks 100 points total Weekly reflections 150 points total Oral Hypothesis & update presentations 50 points total communication Poster presentation Poster draft presentation 30 points Final poster presentation 100 points total TOTAL (subject to 900 points total change)2.4. Learning objectivesScientific Method: This course

Conference Session

Educational Research and Methods Division (ERM) Technical Session 13

Collection

2024 ASEE Annual Conference & Exposition

Authors

Greses Perez, Tufts University; Lise Clara Mabour, Tufts University; G. R. Marvez, Tufts University; Ymbar Isaias Polanco Pino, Tufts University

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language and cultural resources and how students draw on differentsets of talk depending on the context, whether near or distal from the activity at hand. It contendsthat without a deeper understanding of the role of non-dominant ways of speaking in the act ofbecoming and belonging, efforts to diversify engineering will remain elusive. Ultimately, thispaper summarizes these ideas through a conceptual model for engineering learning environmentsthat value and leverage the resources that students bring from their communities. By creatingmore equitable and socially just solutions, engineering education can better serve the needs ofdiverse populations and ensure that the profession is truly reflective of the communities it serves.Keywords: language and

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Neha B. Raikar, University of Maryland, Baltimore County; Nilanjan Banerjee

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average grade forgroup A. The blue bars represent anonymous exams, while the red bars indicate non-anonymousexams. As noted earlier, the final exam had a lower average score, which is reflected across the 3ethnicities shown. Figure 4 also shows that anonymizing the exam leads to performanceimprovement for Ethnicity 2. Ethnicities 1 and 3 showed no difference. Figure 4: The average grade by ethnicity for the 4 exams considered for Group A in Class A. The error bars represent the standard error. Group A started with anonymous exams and then switched. Figure 5: The average grade by ethnicity for the 4 exams considered for Group B in Class A. The error bars represent the standard error. Group B started with non

Conference Session

Educational Research and Methods Division (ERM) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Qin Liu, University of Toronto; Greg Evans P.Eng., University of Toronto; Oliver Pan, University of Toronto

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the engineering school. Please note thatthe collection of the 2020 survey data was completed just before the breakout of the COVID-19pandemic in March 2020 in North America; thus the data reflected the student experiences priorto the pandemic.The bulk of these data sets were from the National Student Engagement Survey (NSSE) data thatthe university collected on a three-year basis (that is, 2017 and 2020 data). We included the 5following variables from the NSSE data into our study: 10 engagement indicators that fall underfour themes (i.e., academic challenge, learning with peers, experience with faculty, and campusenvironment),1 six variables

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Luis Delgado Jr., Penn State; Catherine G. P. Berdanier, Pennsylvania State University

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, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the sponsors.References[1] H. Okahana, C. Klein, J. Allum, and R. Sowell, “STEM Doctoral Completion of Underrepresented Minority Students: Challenges and Opportunities for Improving Participation in the Doctoral Workforce,” Innov High Educ, vol. 43, no. 4, pp. 237–255, Aug. 2018, doi: 10.1007/s10755-018-9425-3.[2] R. Sowell, J. Allum, and H. Okahana, Doctoral Initiative on Minority Attrition and Completion. Washington, DC: Council of Graduate Schools, 2015.[3] B. M. Gayle, D. Cortez, and R. Preiss, “Safe Spaces, Difficult Dialogues, and Critical Thinking,” ij-sotl, vol. 7, no. 2, Jul. 2013, doi: 10.20429/ijsotl

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiaping Li, University of Michigan; Robin Fowler, University of Michigan; Mark Mills, University of Michigan

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StatisticsThe descriptive statistics provide insights into the participants’ characteristics and perceptions inthe study. Cumulative GPA, a measure of academic performance, shows a mean of 3.63 (SD =0.350) out of 4.00, indicating that participants generally achieved high levels of achievement.Personality traits such as Extraversion and Task control, which were rated on a 7-point scale,reflect the participants’ tendencies in group settings. The mean of 4.52 (SD = 1.418) forExtraversion indicates a propensity to actively contribute in groups, while the mean of 3.69 (SD= 1.442) for Task control suggests a balanced approach to task delegation. The mean of 7.60 on a9-point scale (SD = 1.52) indicates positive perceptions of team members’ contributions

Conference Session

Educational Research and Methods Division (ERM) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cassie Wallwey, Virginia Polytechnic Institute and State University; Michelle Soledad, Virginia Polytechnic Institute and State University; Tyler Milburn, Virginia Polytechnic Institute and State University

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engineering professoriate, and leveraging institutional data to support reflective teaching practices. She has degrees in Electrical Engineering (B.S., M.Eng.) from the Ateneo de Davao University in Davao City, Philippines, where she previously held appointments as Assistant Professor and Department Chair for Electrical Engineering. She also previously served as Director for Communications and International Engagement at the Department of Engineering Education at Virginia Tech, Lecturer at the Department of Engineering Education at The Ohio State University, and Assistant Professor at the Department of Integrated Engineering at Minnesota State University, Mankato. She holds a Ph.D. in Engineering Education from Virginia

Conference Session

Educational Research and Methods Division (ERM) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Umer Farooq, Texas A&M University; Saira Anwar, Texas A and M University

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learning in your academic setting (pp. 93-110). Society for the Teaching of Psychology.[12] S. Freeman et al., "Active learning increases student performance in science, engineering, and mathematics," Proc. Natl. Acad. Sci. USA, vol. 111, no. 23, pp. 8410-8415, May 2014, doi: 10.1073/pnas.1319030111[13] S. Anwar and M. Menekse, “Unique contributions of individual reflections and teamwork on engineering students’ academic performance and achievement goals,” Int. J. Eng. Educ., vol. 36, no. 3, Art. no. 3, 2020.[14] S. Anwar, "Role of different instructional strategies on engineering students' academic performance and motivational constructs," 2020.[15] A. I. Leshner, "Student-centered, modernized graduate

Conference Session

Educational Research and Methods Division (ERM) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Asif Mohaisin Sadri, International Islamic University, Malaysia; Arif Mohaimin Sadri, University of Oklahoma; Khondhaker Al Momin, University of Oklahoma; Javeed Kittur, University of Oklahoma; Tahrima Rouf, University of Oklahoma

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0.495 Positive little, javascript 4 0.361 Positive learning, engineer 3 0.12 Positive science, engineering 3 0.523 Positive engineering, math 3 0.695 Positive machine, learning 3 0.12 Positive engineering, course 2 0.122 PositiveRQ3: How do social media user sentiments vary when they discuss about engineeringprofession?Table 3 reflects positive sentiments in discussions on professional education

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matthew Bahnson, Purdue University; Eric Trevor McChesney, University of Pittsburgh; Carlie Laton Cooper, University of Georgia; Allison Godwin, Cornell University; Linda DeAngelo, University of Pittsburgh; Kevin R. Binning

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women and BLIstudents often leverage a deficit-based approach, which frames students as the subjects that needto be fixed rather than systems that perpetuate inequities [39], [40]. Ultimately, a deficit frameworkfails to acknowledge the larger ecological context in engineering that shapes student experiencesand the development of their identities as engineers.Theoretical Framework Our research questions seek to identify a variable structure for predicting first-year studentengineering identity recognition by self and others. Engineering role identity reflects the ways inwhich students describe themselves as the kind of people who can do engineering [41] and consistsof three constructs: interest in the subject, beliefs about the ability

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Djedjiga Belfadel, Fairfield University

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, ensuring a personalized match in research interests.The coordination team's efficacy is evident in the program's 100% placement rate last year,successfully pairing students with appropriate mentors and projects, reflecting a keenunderstanding of both student and faculty needs.A key aspect of the program is its dual focus on hands-on research and educational seminars.Students engage directly in real-world research under expert guidance, applying classroomtheories to practical scenarios, fostering innovation and inquiry. Concurrently, weekly seminarscover essential topics like research ethics, intellectual property rights, IRB and IACUCprotocols, and grant writing skills, and technology transfer.The program’s holistic structure develops not just

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

Denise Wilson, University of Washington; Neha Kardam, University of Washington

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significant increase from the 17.8% recorded in 2010[1]. However, this growth has not been reflected in the workplace. Between 2001 and 2019, thenumber of women engineers in the workforce only rose from about 10% to 14% [2]. Theunderrepresentation of women is particularly pronounced in mechanical, electrical, and computerengineering, with only 17.5%, 15.6%, and 20.4% of bachelor’s degrees in these fields awarded towomen [1]. Furthermore, women represent only 9%, 10%, and 12% of working engineers inthese respective fields [3].For underrepresented minorities, the statistics are even more dismal. Bachelor’s degrees inengineering awarded to Black or African American individuals have risen only slightly from4.5% in 2010 to 4.7% in 2021 [1]. Hispanics now

Conference Session

Educational Research and Methods Division (ERM) Technical Session 13

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hoc T. Nguyen, University of Oklahoma; Javeed Kittur, University of Oklahoma

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Indiacoming in second with 21.05%, Mexico with 10.53%, and all other countries with 5.26%. Theresults of the first authors' affiliation country distribution in the mental health field in engineeringeducation research point to an American source for this kind of work. It is crucial to recognize anypotential biases in these results. The inclusion criterion of articles written only in English is onesignificant factor that may distort the representation of nations and thus artificially increase theamount of research from the United States. Moreover, the apparent dominance of Americanresearch may not fully reflect the amount of funding or involvement that practitioners in othercountries have given to research on mental health in engineering education

Conference Session

Educational Research and Methods Division (ERM) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mohammad Shokrolah Shirazi, Marian University; Hung-fu Chang

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learning, enabling students to comprehend, reflect, and apply their learning toward solving new problems. Al- though critical thinking could be used toward solving challenging problems, it is sometimes considered as a similar concept of “challenging level” among students and instructors. This study aims to investigate this similarity issue by evaluating students’ opinions based on critical thinking, and challenging level of course as- signments in computer and software engineering courses. Students are asked to rank each assignment based on how much each assignment stimulated their critical think- ing, and how much it challenged them. Moreover, instructors provide their opinions about critical components of each course assignment for

Conference Session

Educational Research and Methods Division (ERM) Technical Session 11

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matthew Sheppard, Clemson University; Lisa Benson, Clemson University

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students’ navigational capital, and researchers’ schema development through the peer review process. Dr. Benson is an American Society for Engineering Education (ASEE) Fellow, and a member of the European Society for Engineering Education (SEFI), American Educational Research Association (AERA) and Tau Beta Pi. She earned a B.S. in Bioengineering (1978) from the University of Vermont, and M.S. (1986) and Ph.D. (2002) in Bioengineering from Clemson University. ©American Society for Engineering Education, 2024 Work In Progress: An Exploratory Study of Appalachian Students’ Quest for Success in Undergraduate Engineering ProgramsAbstract This work in progress paper reflects

Conference Session

Educational Research and Methods Division (ERM) Technical Session 17

Collection

2024 ASEE Annual Conference & Exposition

Authors

Morgan Haley McKie, Florida International University; Alexandra Coso Strong, Florida International University

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Search TermsFor the search, we carefully selected a set of specific keywords and search terms to ensure athorough search, capturing a wide range of relevant papers. Core themes searched were digitalaccessibility and computer science education. Digital accessibility is central to this study,focusing on accessibility in digital and online environments. Computer science or computingeducation refers to the educational context and curricular aspects of computer science. Fromthose core themes we also included the associated terms online learning and inclusive education.Online learning reflects the shift towards digital education, especially relevant due to impact ofCOVID-19. Inclusive education encompasses broader educational principles that

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

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Virginia Tech. Prior to joining VT, Dr. Pitterson was a postdoctoral scholar at Oregon State University. She holds a PhD in Engineering Education from Purdue University and othDr. Emily Dringenberg, The Ohio State University Dr. Dringenberg is an Associate Professor in the Department of Engineering Education at Ohio State University. She holds a B.S. in Mechanical Engineering (Kansas State ’08), a M.S. in Industrial Engineering (Purdue ’14) and a Ph.D. in Engineering Education. Her current career purpose is to learn about and reveal beliefs that are widely-held as an implicit result of our socialization within systems of oppression so that she can embolden others to reflect on their assumptions and advance equity

Conference Session

Educational Research and Methods Division (ERM) Technical Session 16

Collection

2024 ASEE Annual Conference & Exposition

Authors

Catherine G. P. Berdanier, Pennsylvania State University; Julio Urbina, Pennsylvania State University; Reginald F. Hamilton, Pennsylvania State University; Catherine L. Cohan, Pennsylvania State University; Tonya L. Peeples, Pennsylvania State University; Cynthia Howard Reed, Pennsylvania State University

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are struggling tofind a research advisor conceptualize this struggle as a direct reflection on their competence and worth.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant 2130169. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of the author(s)and do not necessarily reflect the views of the National Science Foundation.References[1] Council of Graduate Schools, “Ph.D. completion and attrition: Analysis of baseline program data from the Ph.D. completion project,” 2008.[2] R. Sowell, J. Allum, and H. Okahana, “Doctoral Initiative on Minority Attrition and Completion,” Washington, DC, 2015. doi: 10.1145/1401890.1402023.[3] R

Conference Session

Educational Research and Methods Division (ERM) Technical Session 26

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lakshmy Mohandas, Purdue University; Nathan Mentzer, Purdue University ; Adrie Koehler; Elnara Mammadova, Purdue University ; Shawn Farrington, Purdue University

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that students’ scores on the first project were significantlyhigher in the HyFlex modality. HyFlex's median ranks were significantly higher in all other grade measures(Project 2, 3, and final semester grades), whereas means were similar for the rest. Between in-person andone-or-more-times-remote students, t-tests and the Mann-Whitney U test indicated similar grades for Project 1.The median ranks were higher for in-person students, whereas the means in both modalities were similar in allother measures.Study 6: Deep Learning (unpublished work, currently in progress)While grades are a traditional measure of academic success and commonly used to determine universityprogression, they may be reflective of effort and or performance (Banta et al

Conference Session

Educational Research and Methods Division (ERM) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Syed Ali Kamal, University at Buffalo, The State University of New York; Syeda Fizza Ali, Texas A&M University; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York

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toconsider the various aspects of wellbeing for the design of instruction as well as policy.Acknowledgements We thank Erin Rowley, the engineering librarian at the University at Buffalo, for hersupport in the database selection and helpful recommendations for conducting this systematicreview. We also thank Joseph McCusker, engineering student at University at Buffalo, and anundergraduate researcher at DARE to CARE lab, for his invaluable assistance with the review ofthe studies. This material was partially supported by the National Science Foundation Grant No.2147193. Any opinions, findings, and conclusions, or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National

Conference Session

Educational Research and Methods Division (ERM) Technical Session 11

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jeffrey Stransky, Rowan University; Prateek Shekhar, New Jersey Institute of Technology

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. Matusovich, and S. R. Brunhaver, “Understanding the socializer influence on engineering students’ career planning,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2018, vol. 2018-June, doi: 10.18260/1-2--31182.[15] J. S. Eccles and A. Wigfield, “Expectancy-Value Theory to Situated Expectancy-Value Theory: Reflections on the Legacy of 40+ Years of Working Together,” Motiv. Sci., vol. 9, no. 1, pp. 1–12, 2023, doi: 10.1037/mot0000275.[16] A. Wigfield and J. S. Eccles, “Expectancy–value theory of achievement motivation,” Contemp. Educ. Psychol., vol. 25, no. 1, pp. 68–81, 2000.[17] J. S. Eccles and A. Wigfield, “Motivational Beliefs, Values, and Goals,” Annu. Rev. Psychol., vol. 53, pp

Conference Session

Educational Research and Methods Division (ERM) Technical Session 30

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jenefer Husman, University of Oregon; Matthew Charles Graham; Kathryn Anne Jacobson, University of Oregon; Cynthia J. Finelli, University of Michigan; Maura Borrego, University of Texas at Austin; Michael J. Prince, Bucknell University; Lea K. Marlor, University of Michigan; Madison E. Andrews, University of Texas at Austin

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day the surveys were distributed. All subscales from the StRIP questionnaireprompted participants to reflect on the class activities in which they were asked to engage duringa specific class period. Additionally, students self-reported their gender identity. We present allmeasures used in the present study in Table 1 and descriptive statistics and correlations betweenmeasures for all students and by students' gender identity in Table 2. Table 1. Abbreviations & Sample Items for Measures Measure Abbreviation Sample Item Belongingness BEL “I have a sense of belongingness in this class.” Affective Response AR “I enjoyed the activities.” Behavioral Response

Conference Session

Educational Research and Methods Division (ERM) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bryce E. Hughes, Montana State University; Emmanuel Tetteh Teye, Montana State University

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questions wasasked twice—once with the phrase “engineering person” and once with “science person.” Weinitially wanted to adapt these items for “person in my field,” but after expert review it wasdetermined that the items would not capture what we were hoping they would capture. Performance/competence reflects the extent to which students perceive their ownknowledge and abilities in engineering. This dimension comprises five items that capturestudents’ confidence in their understanding of engineering in class and out of class, that they cando well on exams, that they understand concepts in engineering, and that others ask them forhelp. These items were adapted from engineering to “my field” for greater applicability. Missing data were

Conference Session

Educational Research and Methods Division (ERM) Technical Session 17

Collection

2024 ASEE Annual Conference & Exposition

Authors

Oluwafemi J. Ajeigbe, Texas A&M University; Talodabiolorun Anne Oni, Washington State University; Oluwafemi J. Sunday, Washington State University ; Olusola Adesope, Washington State University; Olufunso Oje, Washington State University; Bernard J. Van Wie, Washington State University; Jacqueline Gartner Ph.D., Campbell University; Prashanta Dutta, Washington State University; David B. Thiessen, Washington State University

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prior understanding offluid mechanics and heat transport concepts. A worksheet was given to each participant for useby them during the experiment. The experiment's steps were outlined in the worksheet for theparticipants to follow. The worksheet gave the participants a chance to consider and deliberateabout the ideas being covered. Afterward, each participant was given a post-test to examine howmuch they had learned during the instruction. They were then required to respond to thecognitive engagement survey. Participants received links to the online surveys administered viaQualtrics© at the end of the LCDLMs sessions. The cognitive engagement survey prompts askedparticipants to reflect on their LCDLM facilitated instructions and report how well

Conference Session

Educational Research and Methods Division (ERM) Technical Session 13

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rachel E. Durham, Notre Dame of Maryland University; Michael L. Falk, The Johns Hopkins University; Alexis Daniels, The Johns Hopkins University; Allison Reigel, The Johns Hopkins University; Alisha Nicole Sparks, The Johns Hopkins University; Margo K. Williams, The Johns Hopkins University; Emily J Yanisko, American University

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) before treatment5 Demographic characteristics reflect students’ district administrative records; in Maryland students may identifytheir gender as non-binary and as more than one race. Ethnicity is recorded separately from race. n 60 27 Note. Means (and standard deviations) presented. * Group difference significant, p

Conference Session

Educational Research and Methods Division (ERM) Technical Session 29

Collection

2024 ASEE Annual Conference & Exposition

Authors

Justin Charles Major, Rowan University; Richard Tyler Cimino, New Jersey Institute of Technology

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Mindfulness Uniqueness MindfulnessIndicate how frequently or infrequently you currently have each experience. Pleaseanswer according to what really reflects your experience rather than what you thinkyour experience should be. Please treat each item separately from every

Conference Session

Educational Research and Methods Division (ERM) Technical Session 30

Collection

2024 ASEE Annual Conference & Exposition

Authors

Adrian Nat Gentry, Purdue University ; Julie P. Martin, University of Georgia; Kerrie A. Douglas, Purdue University ; Eric Holloway, Purdue University; Cole Thompson, Purdue University

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on them [35]. At their private,four-year liberal arts college, Zayn reflected on the experience of having a nonbinary professorto look up to: I was so excited when [the nonbinary faculty member] came here, and I got to take a class with them last semester. And it’s so nice just feeling like I see someone who is also nonbinary.The participant went on the say: It means a lot. Just because it’s like [nonbinary professor] [has] a very similar experience to me in that [they have] gone through the classes, [they] know what this field is like and how it’s very male dominated. But not just male dominated, but also very heteronormative and cisgendered.Due to the underrepresentation of nonbinary individuals in engineering

Conference Session

Educational Research and Methods Division (ERM) Technical Session 18

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Kane, Utah State University; Marlee Jacobs, Utah State University; Rosemary Yahne, Utah State University; Wade H. Goodridge, Utah State University

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components ofspatial ability which may aid in the creation of more complete training.AcknowledgementsThis material is based upon work supported by the U.S. National Science Foundation underGrant No. 1712887. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] K. S. McGrew, “CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research,” Intelligence, vol. 37, no. 1, pp. 1–10, Jan. 2009, doi: 10.1016/j.intell.2008.08.004.[2] D. F. Lohman, “Spatial Ability and G.” 1993.[3] A. Ramful, T. Lowrie, and T. Logan, “Measurement of Spatial

Conference Session

Educational Research and Methods Division (ERM) Technical Session 11

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anjing Dai, Arizona State University; Xingchen Xu, Arizona State University; Li Tan, Arizona State University, Polytechnic Campus

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discrimination faced byAsian engineering students in postsecondary education. The identified relevantstudies need to be consistent with this research scope. In order to do that, we focus onboth Asian American and Asian international college students within the engineeringdiscipline, reflecting our centered research interest. Considering the scope of ourstudy and the research questions, we established relevant studies in our review asstudies that satisfy the following three conditions: a) the presence of Asian students,b) a focus on college engineering majors, and c) relevance to experiences ofdiscrimination.Selecting Studies We conducted the literature search using a variety of scholarly databases,including Semantic Scholar, Google Scholar, ERIC

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Maimuna Begum Kali, Florida International University; Syed Ali Kamal, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York

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) and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. K. Flatt, “A suffering generation: Six factors contributing to the mental health crisis inNorth American higher education.,” Coll. Q., vol. 16, no. 1, pp. 1–17, 2013, [Online]. Available:https://files.eric.ed.gov/fulltext/EJ1016492.pdf.[2] S. K. Lipson et al., “Trends in college student mental health and help-seeking byrace/ethnicity: Findings from the national healthy minds study, 2013–2021,” J. Affect. Disord.,vol. 306, pp. 138–147, 2022, doi: 10.1016/j.jad.2022.03.038.[3] G. Boyraz, R. Granda, C. N. Baker, L. L. Tidwell, and J. B. Waits, “Posttraumatic stress,effort regulation, and academic outcomes among college students: A longitudinal