Conference Session

Student Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Renee M. Desing, The Ohio State University; Rachel Louis Kajfez, The Ohio State University

Tagged Topics

Diversity

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Student

Paper ID #30541How to Use Q Methodology in Engineering Education ResearchMs. Renee Desing, The Ohio State University Renee Desing is currently a PhD Candidate at the Ohio State University in the Department of Engineering Education. Ms. Desing holds a B.S. in Industrial Engineering from the Georgia Institute of Technology and a M.S. in Industrial Engineering and Operations Research from the Pennsylvania State University. Most recently, Ms. Desing worked as a managing consultant for IBM Public Sector Advanced Analytics.Dr. Rachel Louis Kajfez, The Ohio State University Dr. Rachel Louis Kajfez is an Assistant Professor in the

Conference Session

Student Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Katherine M Ehlert, Clemson University; Marisa K. Orr, Clemson University

Tagged Divisions

Student

expansion of the content itself. Many educators argue that authentic engineering unknown in the field of engineering education research: The Q-methodology. The Q-methodology tasks and prepare students for engineering in the 21st century. Co-operative education (co-op) can is a quantitative analysis approach that is intended to systematically measure and document provide such experiences. Studies have shown that students who have participated in co-op perspectives or viewpoints. Twenty-five students will first sort a set of subjective statements related programs

Conference Session

SD Technical Session: Tricks of the Trade

Collection

2014 ASEE Annual Conference & Exposition

Authors

Rachel Louis Kajfez, Ohio State University; Colleen Marie Croyle, The Ohio State Univeristy ; Alison N. Snyder; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Divisions

Student

search process are like. Wehypothesize that as the field has evolved so has the job search process and market for individualswith these types of degrees. This “Tricks of the Trade” paper provides information related to thehypothesis through a mixed methods research project grounded in Q methodology that targetedthose who have recently received a Ph.D. specifically in engineering education.IntroductionAlthough engineering education has been studied for many years, it has only recently become arecognized field of formal research, with the first Ph.D. in Engineering Education granted byPurdue University in 2006.1 Before this time, there were many researchers in engineeringeducation who joined the field through different pathways, but now the number

Conference Session

Student Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Mehdi Lamssali, North Carolina Agricultural & Technical State University; Olivia Kay Nicholas, RAPID; Alesia Coralie Ferguson, North Carolina A&T State University; Andrea Nana Ofori-Boadu, North Carolina Agricultural and Technical State University; Angela M. White, NC A&T State University

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Diversity

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Student

or deductive coding. This manual theming was supplemented using theNVIVO software to identify common words and phrases leading to any additional or missedthemes. Throughout this process, discussions and checks were conducted with the research teamfor agreement on final themes. Table 1: Interview questions with faculty Question Question No. Q.1 Tell me about yourself. Q.2 Explain how and why COVID pandemic impacted the functioning and behavior of your STEM students. Q.3 Explain how and why COVID pandemic impacted the performance of your STEM students. Q.4 Explain how and why you responded to changes in STEM student

Conference Session

Student Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Abigail Clark, Ohio State University

Tagged Topics

Diversity

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Student

. . [5] Tai, R. H., Liu, C. Q., Maltese, A. V, & Fan, X. (2006). CAREER CHOICE: Enhanced: Planning Early for Careers in Science. Science, 312(5777), 1143–1144. https://doi.org/10.1126/science.1128690 eed.osu.edu

Conference Session

Student Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Alaa Abdalla, Virginia Tech; Nicole P. Pitterson, Virginia Tech ; Jennifer M Case, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity

Tagged Divisions

Student

Bret Male Caucasian Frankie Male Caucasian Devi Female Indian Kai Male White/Pacific islander Qiang unreported unreportedThe interview questions were framed around the students’ experiences in general during theirtime in the university, with few questions focusing particularly on how they spend their time in agiven week, and the kind of activities they are involved in. The questions used for the analysisfor this paper are:Q. Could you please walk me through a recent week of studying? What does your timetable oftaught sessions and studying look like during a week?Q

Conference Session

Student Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Pearl Elizabeth Ortega-Darwin, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Student

available for four weeks in order togive students adequate time to take the exam, review their material, and remediate any mathknowledge that the students would need to know for the course.Competency-based assessments give students equal opportunities to be successful in their classesas many students have different backgrounds of learning. Flagging “at-risk” students and givingthem the tools they need to learn the course prerequisite material can help build their sense ofbelonging and positive attitude in the classroom. Similar competency and remedial assessmentsfrom other departments and universities have proved to be helpful to their students by loweringthe D/F/Q rates, creating shifts in letter grades, and increasing the rate of students

Conference Session

SD Technical Session: Tricks of the Trade

Collection

2014 ASEE Annual Conference & Exposition

Authors

Gurlovleen K. Rathore, Texas A&M University; Alexandra Coso Strong, Georgia Institute of Technology; Adam R. Carberry, Arizona State University

Tagged Divisions

Student

3.26 i Technology in the classroom 3.24 j Engaging in service & outreach activities 3.13 k Reviewing scientific publications 3.11 l Developing teaching portfolios 3.11 m Developing collaborations & managing teams 3.07 n Finding non-research related opportunities (industry, policy, etc.) 3.07 o Managing diversity in the classroom 3.02 p Starting a research lab/lab management 2.80 q Work-life

Conference Session

Research on Diversification & Inclusion

Collection

2015 ASEE Annual Conference & Exposition

Authors

Erin A. Cech, Rice University

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering, Liberal Education/Engineering & Society, New Engineering Educators, Student, Women in Engineering

Satisfaction Measures:question was missing). (m) Personal satisfaction from work (n) Satisfaction with quality of work unitSurvey respondents were asked “do you consider (o) Satisfaction with working conditionsyourself to be one or more of the following,” with (p) Employee empowermentthe following response categories offered: (q) Co-workers cooperation“Heterosexual or Straight,” “Gay, Lesbian, (r) Satisfaction with procedures (s) Overall job satisfactionBisexual, or Transgender,” or “Prefer not to say.”Respondents who answered “prefer not to say” were excluded from

Conference Session

Tricks of the Trade - Reflections and Advice on the Educational Process

Collection

2016 ASEE Annual Conference & Exposition

Authors

Christopher Emmanuel Early, The University of Houston-Clear Lake; Jose Daniel Velazco, University of Houston-Clear Lake; Miguel Rosales, University of Houston-Clear Lake; Edgar Cantu, AutoSol Inc.

Tagged Topics

Diversity

Tagged Divisions

Student

after of a TechFriday. Q: My Current level of interest in learning about Charlieplexing is: Figure 1. Pre Survey of Charlieplexing with Arduino Tech Friday Q: After participating in today’s Tech Friday, my current level of interest in Charlieplexing is: Figure 2. Post Survey of Charlieplexing with Arduino Tech FridayStudent Mentoring and TutoringOur mentoring program helps recruit STEM major students from community colleges. As a teamof

Conference Session

Student Division Technical Session 4

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Maral Kargarmoakhar, Florida International University; Stephanie Jill Lunn, Florida International University; Monique S. Ross, Florida International University; Zahra Hazari, Florida International University; Mark A. Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Ken Christensen P.E., University of South Florida; Tiana Solis, Florida International University

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Diversity

Tagged Divisions

Student

-9411- y.[26] J. M. Holland, D. A. Major, and K. A. Orvis, “Understanding How Peer Mentoring and Capitalization Link STEM Students to Their Majors,” Career Dev. Q., vol. 60, no. 4, pp. 343–354, Dec. 2012, doi: 10.1002/j.2161-0045.2012.00026.x.[27] R. T. Fitch, “Characteristics and Motivations of College Students Volunteering for Community Service.,” J. Coll. Student Pers., vol. 28, no. 5, pp. 424–31, 1987.[28] J. L. Holland, The self-directed search professional manual. Odessa, FL: Psychological Assessment Resources., 1985.[29] I. Simon Rampasso et al., “Preparing future professionals to act towards sustainable development: an analysis of undergraduate students’ motivations towards voluntary

Conference Session

Student Division Diversity and Persistence Related Technical Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jeannie Marie Purchase, Virginia Tech ; Denise Rutledge Simmons P.E., Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Student

. (2015). Developing the Postsecondary Student Engagement Survey (PosSES) to Measure Undergraduate Engineering Students’ Out of Class Involvement. Paper presented at the ASEE Annual Conference and Exposition, Seattle, WA.14. Simmons, D. R., & Yu, R. (2015). Conducting a Q Study to Refine and Develop New Measures of Engineering Student Co-Curricular Involvement. Paper presented at the Research in Engineering Education Symposium 2015, Dublin, Ireland.15. Stake, R. E. (1995). The art of case study research: Sage.16. Creswell, J. W. (2012). Qualitative inquiry and research design: Choosing among five approaches: Sage publications.17. Patton, M. Q. (1987). How to use qualitative methods in evaluation: Sage.18

Conference Session

Student Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alexis Rae Walsh, University of Tennessee, Knoxville; Emily Diehl, The University of Tennessee, Knoxville; Courtney June Faber, University of Tennessee, Knoxville

Tagged Divisions

Student

problem- based learning and predict performance,” PLoS One, vol. 13, no. 9, pp. 1–21, 2018.[6] E. Nogueira and D. F. Tsunoda, “A Proposed Model for Consumer-Based Brand Equity Analysis on Social Media Using Data Mining and Social Network Analysis,” J. Relatsh. Mark., vol. 17, no. 2, pp. 95–117, 2018.[7] X. Lin, X. Hu, Q. Hu, and Z. Liu, “A social network analysis of teaching and research collaboration in a teachers’ virtual learning community,” Br. J. Educ. Technol., vol. 47, no. 2, pp. 302–319, 2016.

Conference Session

Student Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Maha Sultan Alsheeb, Texas A&M University at Qatar; Amy Hodges, Texas A&M University at Qatar

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Diversity

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Student

, pp. 271–286, May 2007.[8] T. E. Basford, L. R. Offermann, and T. S. Behrend, “Do You See What I See? Perceptions of Gender Microaggressions in the Workplace,” Psychol. Women Q., vol. 38, no. 3, pp. 340–349, Nov. 2013.[9] N. F. Sulaiman and H. AlMuftah, “A Qatari perspective on women in the engineering pipeline: an exploratory study,” Eur. J. Eng. Educ., vol. 35, no. 5, pp. 507–517, 2010.[10] A. Berrais, “Arab Women in Engineering Education: Current State and Future Perspective,” in Symposium Female Higher Education: Trends and Perspectives, 2011.[11] A. Powell, B. Bagilhole, and A. Dainty, “How Women Engineers Do and Undo Gender: Consequences for Gender Equality,” Gender, Work & Organization, vol. 16, no. 4. pp. 411

Conference Session

Student Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wei Yao, School of Public Affairs, Zhejiang University; Chu Zhaowei, ZheJiang University; hu shunshun, zhejiang university; Bifeng Zhang, Zhejiang University

Tagged Divisions

Student

, USIT and ASIT[J]. Science & Technology Progress and Policy, v.35; No.448 (12): 7- 14.[25] Darrell Mann, Simon Dewulf, Boris Zlotin, Alla Zusman, “"Matrix 2003" Publication Announcement of the Japanese Edition and Q&A Documents for the English Edition”, Apr 2005. [Online]. Available: https://www.osakagu.ac.jp/php/nakagawa/TRIZ/eTRIZ/elinksref/eSKIBooks/eMa trix2003/eMatrix2003-050329.html#PaperMann. [Accessed Dec. 15, 2019].

Conference Session

Student Division Early Introduction to Engineering Technical Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Md Tarique Hasan Khan, Wayne State University; Kamyar Raoufi, Oregon State University; Kijung Park, Iowa State Univerisity; Tasnia Reza; Carolyn E Psenka, Wayne State University; Kathy Schmidt Jackson, Pennsylvania State University, University Park; Karl R. Haapala, Oregon State University; Gül E. Okudan Kremer, Iowa State University; Kyoung-Yun Kim, Wayne State University

Tagged Divisions

Student

. Comput.-Integr. Manuf., vol. 19, no. 4, pp. 315–328, Aug. 2003.18 L. G. Yesilbas, B. Rose, and M. Lombard, “Specification of a repository to support collaborative knowledge exchanges in IPPOP project,” Comput. Ind., vol. 57, no. 8–9, pp. 690–710, Dec. 2006.19 Q. Hao, W. Shen, Z. Zhang, S.-W. Park, and J.-K. Lee, “Agent-based collaborative product design engineering: An industrial case study,” Comput. Ind., vol. 57, no. 1, pp. 26–38, Jan. 2006.20 J. M. Carroll, M. B. Rosson, G. Convertino, and C. H. Ganoe, “Awareness and teamwork in computer- supported collaborations,” Interact. Comput, vol. 18, no. 1, pp. 21–46, Jan. 2006.21 J. C. Tang, “Findings from Observational Studies of Collaborative Work,” Int J Man-Mach Stud, vol. 34

Conference Session

Student Division Technical Session 5

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jennifer Shaffer Brown, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Student

. 144–152, 2013.[10] I. Drewelow, “Exploring graduate teaching assistants’ perspectives on their roles in a foreign language hybrid course,” System, vol. 41, no. 4, pp. 1006–1022, 2013.[11] J. Paulsen and A. C. McCormick, “Reassessing Disparities in Online Learner Student Engagement in Higher Education,” Educ. Res., vol. 49, no. 1, pp. 20–29, 2020.[12] K. Sobel, S. Avery, and I. J. Ferrer-Vinent, “Teaching Them to Teach: Programmatic Evaluation of Graduate Assistants’ Teaching Performance,” Public Serv. Q., vol. 12, no. 3, pp. 189–213, 2016.[13] B. C. O. Neal, M. Wright, T. Perorazio, and J. Purkiss, “The Impact of Teaching on Student Retention in the Sciences,” 2002.[14] B. Melton and Y. Bodur, “Effects of a

Conference Session

Student Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Karina Sylvia Sobieraj, Ohio State University; Rachel Louis Kajfez, Ohio State University

Tagged Divisions

Student

curricula effectively. Mentorship programs can rely on this basestructure to give students the options and resources to find a mentor that is best suited for theiracademic and research needs.References[1] D. Lopatto, “The Essential Features of Undergraduate Research Faculty Responses,” Counc. Undergrad. Res. Q., no. March, pp. 139–142, 2003.[2] “Mentoring Workshop Series - CEAT - Session 2 - Reading_1996.” .[3] L. Benson et al., “Assessing students’ researcher identity and epistemic cognition,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2017-June, 2017.[4] J. K. Petrella and A. P. Jung, “2_Research 2008_Benefits,” vol. 1, no. 3, pp. 91–95.[5] T. D. Allen, L. T. Eby, and E. Lentz, “Mentorship behaviors and mentorship quality

Conference Session

Graduate Student Experience

Collection

2011 ASEE Annual Conference & Exposition

Authors

Irene B. Mena, Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette; Brenda Capobianco, Purdue University

Tagged Divisions

Graduate Studies, Student

Doctoral Education [Electronic Version]. Retrieved November 12, 2008, from www.phd-survey.org12. Altalib, H. (2002). Situated Cognition: Describing the Theory (No. IR 021 877 Document ED 475 183) (ERICdocument).13. Driscoll, M. P. (2005). Psychology of Learning for Instruction. Boston: Pearson Education, Inc.14. Lave, J., & Wenger, E. (1991). Situated Learning. New York: Cambridge University Press.15. Wenger, E. (1998). Communities of Practice. New York: Cambridge University Press.16. Morgan, D. L. (1997). Focus Groups as Qualitative Research. Thousand Oaks, CA: Sage Publications, Inc.17. Creswell, J. W. (2008). Educational Research. Upper Saddle River, NJ: Pearson Education, Inc.18. Patton, M. Q. (2002). Qualitative Research and Evaluation

Conference Session

Student Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jorge Jimenez, University of Pittsburgh; April A. Dukes, University of Pittsburgh; Morgan V. Fedorchak

Tagged Topics

Diversity

Tagged Divisions

Student

“Yes” was observed for Q . Lastly, for Q5, hada positive shift towards “Yes” in survey data. In addition to awareness, pre- and post-survey data was used to gauge student’s familiarity on SDOH (Figure 3A) and theimportance of SDOH (Figure 3B). Students (response count N = 25) were as ed, “How familiar are you with socialdeterminants of health?” using a 5-point Likert scale of familiarity (Figure 3A, 1-notfamiliar, 2- slightly familiar, 3 – moderately familiar, 4- very familiar, and 5 – extremelyfamiliar). A positive trend toward familiarity was observed when comparing pre surveydata (N = 4) to post survey data (N = 16) for students indicating they were “veryfamiliar” and “e tremely familiar”. When prompted in the post survey “Here is a

Conference Session

Student Division Innovative Research Methods Technical Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Rachel K. Anderson, Clemson University; Julie P Martin, Clemson University

Tagged Divisions

Student