Conference Session

Choice and Persistence in Engineering Education and Careers

Collection

2014 ASEE Annual Conference & Exposition

Authors

Brianna L. Dorie, Purdue University, West Lafayette; Tamecia R. Jones, Purdue University, West Lafayette; Meagan C. Pollock, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

support girls’development of awareness, understanding and interest in engineering. Research can be extendedto investigate the impact of parents for other underrepresented groups.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grants No.HRD-1136253 and EEC 1129342. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. Meagan Pollock is supported through the National ScienceFoundation Graduate Research Fellowship program. This work was also supported by INSPIRE,Purdue’s Institute for P-12 Engineering Research and Learning. We would also like toacknowledge the

Conference Session

Research on Diversity, Equity, and Inclusion

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Dina Verdin, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

belong there, I don’t feel like I connect with the school … I just have that mentality of, “I just need to go through this part. I’m just passing by” … And I’m fine with that, that doesn’t bother me anymore [interview 4]Decades of research focused on college student’s college departure affirm that students are morelikely to withdraw from their institution, all together, when they are not sufficiently integratedsocially and academically [31]–[38]. Kitatoi’s resignment to “just passing by” and her lack ofconnectedness with the institution are worrisome. Seymour and Hewitt [39] and Marra et al.’s [40]work emphasized that women who leave STEM disciplines decide to switch into non-engineeringdegree programs due to feeling as though they didn’t

Conference Session

Undergraduate Students' Professional Skills and Reflection

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Andrew Olewnik, University at Buffalo; Hala Alfadhli, University at Buffalo; Lucas Wickham, University at Buffalo; Ashley Cummings, University at Buffalo; Randy Yerrick, Fresno State University

Tagged Divisions

Educational Research and Methods

? response describes their action(s) relevant to the situation Why? Any specific examples where you and task. used verbal communication to articulate an 3. Results - rate the degree to which the student's important point? Were you successful? response describes the results of their actions. Any specific examples where you used written communication to articulate and important point or communicate something important? Were you successful?3.2 Qualitative AnalysisToward understanding the ways in which student mock interview responses may have changedfrom pre to post, we conducted a qualitative analysis of the interview

Conference Session

Studies of Student Teams and Student Interactions

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Javeed Kittur, Arizona State University; Samantha Ruth Brunhaver, Arizona State University; Jennifer M. Bekki, Arizona State University; Eunsil Lee, Florida International University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brianna Benedict McIntyre, Purdue University, West Lafayette; Kayla R. Maxey, Purdue University, West Lafayette; Dina Verdin, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

, “Students’ agency beliefs involve how students see andthink about STEM as a way to better themselves and the world along with being a critic ofthemselves and science in general [20, p. 939]. The critical thinking perspective is intimately tiedto engineering agency beliefs, where students become “evaluator[s] of STEM as well as becomecritics of themselves and the world around them through self-reflection” [39, p. 13]. In essence,agency beliefs in this framework are based on a spectrum of how students view engineering as away to change their world or the world at large.Most agentic frameworks in engineering education used qualitative research methods. However,Godwin and colleagues [40] and Verdín and Godwin [41] used quantitative measures to

Conference Session

Graduate Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Erika Mosyjowski, University of Michigan; Shanna R. Daly, University of Michigan; Diane L. Peters, Kettering University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

found allthree cost subscales were significantly and negatively related with students’ intentions to persistin science, with the effort subscale having the strongest negative relationship with persistence.Informed by Perez et al.’s evidence of potential multidimensionality of the cost construct, Flakeet al.21 developed a new cost scale intended for broader use in an academic context. Similar tothe scale developed by Perez and colleagues, Flake et al.’s scale included task effort, loss ofvalued alternatives cost, and emotional cost. Flake et al. also suggested a new dimension, thecost of outside efforts, related to other demands on an individuals’ time and energy that mayincrease the cost associated with a particular task. Their preliminary

Conference Session

Survey and Assessment Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

David L. Little II, Oregon State University; Kathleen Quardokus Fisher, Oregon State University; Shane A. Brown P.E., Oregon State University; Milo Koretsky, Oregon State University; Jana Bouwma-Gearhart, Oregon State University

Tagged Divisions

Educational Research and Methods

intelligent tutoring systems and peer collaboration. In B. P. Woolf, E. Aimeur, R. Nkambou, & S. Lajoie (Eds.), Intelligent tutoring systems (pp. 636–645). Amsterdam, The Netherlands: IOS.[6] Menekse, M., Stump, G., Krause, S., & Chi, M. T. H. (2013). Differentiated overt learning activities for effective instruction in engineering classrooms. Journal of Engineering Education, 102, 346–374.[7] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.[8] Hora, M. T., & Ferrare, J. J. (2013

Conference Session

Open-Ended Problems and Student Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

Nora Siewiorek, University of Pittsburgh; Larry J. Shuman, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh; Rosa Goldstein, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

to the Reflection Tool QuestionsAn excerpt of the responses Instructor 1 gave during the interview is summarized below in Table2. The comparisons to student responses are also listed, which includes only the top responses(or top two if the difference in number of responses was 2 or less). A discussion of thecomparison of the two responses follows Table 2.Table 2: Instructor 1’s perception of student responses to reflection questions in the Engineering Page 22.351.6Economic Analysis CourseReflection Tool Questions Instructor 1 perception MEA specifics Comparison to

Conference Session

Student Experiences with Undergraduate Research

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Caitlin Donahue Wylie, University of Virginia; Kathryn A. Neeley, University of Virginia; Brian P. Helmke, University of Virginia

Tagged Divisions

Educational Research and Methods

most interesting emerging trend is students’ conception of what anengineer is and does. In response to the question “How would you define "engineer"?”, themost common words students (n = 641) used were “problem[s]” (n = 398, 62%) and “solv[e,er, ing]” (342, 53%). Strikingly, only 2 responses mentioned “research” and only 2mentioned “stud[y, ies]”. This result suggests that students do not consider research as part ofengineering work or identity.Furthermore, coursework, and particularly “real-world” or applied projects and problems,seems to be students’ primary experience with engineering work and identity. In the question“Please describe an experience that made you feel like an engineer,” students (n = 498)mentioned “course[s, work]”/”class[es

Conference Session

Educational Research and Methods Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Christine Allison Gray, Northern Arizona University; Robin G. Tuchscherer, Northern Arizona University; Ron Gray, Northern Arizona University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Persons with Disabilities in Science and Engineering: 2011, National Science Foundation, Arlington, VA.[6] Seymour, E. and Hewitt, N.M. 1997. Talking about leaving: Why undergraduates leave the sciences, Boulder, CO: Westview Press.[7] Rovai, A. P. 2002. “Development of an instrument to measure classroom community.” The Internet and Higher Education, 5(3), pp. 197-211.[8] Courter, S. S., Millar, S. B., and Lyons, L. 1998. “From the students' point of view: Experiences in a freshman engineering design course.” Journal of engineering education, 87(3), pp. 283-288.[9] Smith, M. K., Jones, F. H., Gilbert, S. L., and Wieman, C. E. 2013. “The Classroom Observation Protocol for Undergraduate STEM (COPUS): A new

Conference Session

STEM Pipeline: Pre-College to Post-Baccalaureate

Collection

2008 Annual Conference & Exposition

Authors

Venetia Dover, Howard University; Lorraine Fleming, Howard University; Dawn Williams, Howard University; Viara Quinones, Howard University

Tagged Divisions

Educational Research and Methods

) professionals is significantly disproportionate to minority representation inthe U.S. general population and workforce, thereby impacting the current pool of primarilyWhite male STEM professionals’ ability to meet the rapidly changing demands facing theengineering industry. Instead, the U.S. must increase the numbers of women and minorities(defined for the purpose of this study as African Americans, Hispanics, and Native Americans)that earn degrees in STEM fields not just at the baccalaureate level, but at all levels1.Minorities, particularly African Americans, are showing an increase in enrollment andsubsequent degree attainment in science and engineering (S&E)1. Data from 1987 and 2000show an increase in the percentage of S&E degrees awarded

Conference Session

Works in Progress: Classroom Practice

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ada Hurst, University of Waterloo; Oscar G. Nespoli, University of Waterloo

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Reformulate 3 Generating Documentation and Data Management Controlling Storing DistributingAs mentioned, the need analysis stage is regarded as the most important part of the designprocess. It is a process of problem finding and representing as opposed to problem solving. It isdivided into three (3) phases: identification, representation and communication. These divisionsare based on Karuppoor et al.27’s design philosophy, emphasizing the

Conference Session

Concepts and Conceptual Knowledge

Collection

2015 ASEE Annual Conference & Exposition

Authors

Lauren Suzanne Wallace; Floraliza Bornilla Bornasal, Oregon State University; Shane A. Brown P.E., Oregon State University

Tagged Divisions

Educational Research and Methods

Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hannah Kolar, Arizona State University; Adam R Carberry, Arizona State University; Ashish Amresh, Arizona State University

Tagged Divisions

Educational Research and Methods

experience in computing improves computing self-efficacy.Universities should obtain this data from students to identify when material should beadded to a course that allows all students to be brought up to speed on their computingskills before launching into STEM-based majors. Future investigations utilizing this toolwill attempt to understand the impact of computing self-efficacy on student performance,i.e. time to complete a task and academic achievement.Bibliography1. Bandura, A. 1995. “Self-Efficacy in Changing Societies.” Cambridge University Press.2. Bandura, A. 1997. “Self-efficacy: The exercise of control.” New York, NY: W.H. Freeman and Company.3. Baker, D., Krause S., and Purzer S. Y. 2008. “Developing an instrument to measure

Conference Session

Assessment of Student Learning 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jesse Pappas, James Madison University

Tagged Divisions

Educational Research and Methods

Conference Session

The Role of Peers in Promoting Learning and Persistence

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Neha Prabhu, University of Illinois Urbana - Champaign; Michelle Perry, University of Illinois Urbana - Champaign; Renato F. L. Azevedo, University of Illinois Urbana - Champaign; Lawrence Angrave, University of Illinois Urbana - Champaign; Suma Bhat, University of Illinois Urbana - Champaign

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

outcomes. Engineering a welcoming space where women canfind each other—to lean on and learn from each other—seems like a good place to start.AcknowledgementsThis work was funded by the Institute for Inclusion, Diversity, Equity, and Access in the GraingerCollege of Engineering, University of Illinois, grant number GIANT202005.References [1] J. Ehrlinger, E. A. Plant, M. K. Hartwig, J. J. Vossen, C. J. Columb, and L. E. Brewer, “Do gender differences in perceived prototypical computer scientists and engineers contribute to gender gaps in computer science and engineering?” Sex roles, vol. 78, no. 1, pp. 40–51, 2018. [2] J. Hunt, “Why do women leave science and engineering?” ILR Review, vol. 69, no. 1, pp. 199–226, 2016. [3] S. S. Silbey

Conference Session

Diversity and Inclusion

Collection

2017 ASEE Annual Conference & Exposition

Authors

Dan Haskett, Georgia Southern University; Jonathan C. Hilpert, Georgia Southern University; Jenefer Husman, University of Oregon

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

strategies and style). Presumably,improved instructional support would mitigate the damaging impact of negative perceptions such asstereotype threat (Steele & Aronson, 1995) or avoidance orientation (Midgely, 2001) that limitengagement, and at the same time support student tendencies related to cultural norms and practices.Future research that can untangle the complex combination of these factors can provide new insights intohow to support UREM’s in engineering education contexts. ReferencesBenson, L., Kirn, A., & Faber, C. (2013, June). CAREER: Student motivation and learning in engineering. In ASEE Annual Conference Proceedings.Borrego, M., Cutler, S., Prince, M., Henderson, C., &

Conference Session

ERM Technical Session 7: Learning and Research in Makerspaces

Collection

2019 ASEE Annual Conference & Exposition

Authors

Louis Nadelson, University of Central Arkansas; Idalis Villanueva, Utah State University; Jana Bouwma-Gearhart, Oregon State University; Sarah Lanci, Colorado Mesa University; Kate Youmans, Utah State University; Cindy Ann Lenhart, Oregon State University; Alexis K. Van Winkle, University of Central Arkansas

Tagged Divisions

Educational Research and Methods

Paper ID #26249Knowledge in the Making: What Engineering Students are Learning in Mak-erspacesDr. Louis S. Nadelson, University of Central Arkansas Louis S. Nadelson has a BS from Colorado State University, a BA from the Evergreen State College, a MEd from Western Washington University, and a PhD in educational psychology from UNLV. His scholarly interests include all areas of STEM teaching and learning, inservice and preservice teacher pro- fessional development, program evaluation, multidisciplinary research, and conceptual change. Nadelson uses his over 20 years of high school and college math, science, computer science

Conference Session

ERM Technical Session 9: Persistence and Retention

Collection

2019 ASEE Annual Conference & Exposition

Authors

Bryce E. Hughes, Montana State University; William J. Schell IV P.E., Montana State University; Brett Tallman P.E., Montana State University; Romy Beigel, Montana State University; Emma Annand, Montana State University; Monika Kwapisz, Montana State University

Tagged Divisions

Educational Research and Methods

research into engineering identity is the extent to which it reflects a commitment toengineering as a career [19]. Nora et al.’s model leads to the proposition that engineering identityis an intermediate outcome preceding the decision to reenroll, and increasing degree productivityhas become an important policy goal for the field of engineering [1]. Figure 1 depicts theconceptual framework of this study.Nora et al.’s model also identifies and organizes other factors that affect students’ decisions topersist in their studies [14]. These factors also impact student persistence. Differences have beenobserved among students based on their background characteristics in terms of their likelihood ofbeing retained, such as gender, underrepresented racial

Conference Session

Identity and Engineering: ERM Roundtable

Collection

2015 ASEE Annual Conference & Exposition

Authors

Renata A Revelo, University of Illinois, Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Conference & Exposition, Vancouver, Canada. Page 26.629.11    [4] Meyers, K. L., Ohland, M. W., Pawley, A. L., Silliman, S. E., Smith, K. A. (2012). Factors relating to engineering identity. Global Journal of Engineering Education, 14, 119-131.[5] Tonso, K. L. (2006). Student engineers and engineer identity: Campus engineer identities as figured world. Cultural Studies of Science Education, 1, 273.[6] Camacho, M. M., & Lord, S. M. (2011). Quebrando Fronteras: Among Latino and Latina undergraduate engineers. Journal of Hispanic Higher Education, 10, 134-146.[7] Pew Research Center: U.S

Conference Session

Student Success III: Affect and Attitudes

Collection

2016 ASEE Annual Conference & Exposition

Authors

Casey Marie Williamson, James Madison University; Mariafé Taeví Panizo, James Madison University; Olga Pierrakos, James Madison University; Robin D. Anderson, James Madison University

Tagged Divisions

Educational Research and Methods

different disciplines. Finally, it could be that the student engagement survey does not capture all facets of student engagement, specifically within the domain of engineering. In the future, a different measure of student engagement could be used to see if these relationships hold true.[1] A. Wigfield, and J. S. Eccles, "Expectancy–value theory of achievement motivation," in Contemporaryeducational psychology, vol. 25.1, 2000, pp. 68-81.[2] J. S. Eccles, T. F. Adle, R. Futterman, S. B. Goff, C. M. Kaczala, J. L. Meece, and C. Midgley,"Expectancies, values, and academic behaviors" in Achievement and achievement motives: Psychologicaland sociological approaches, J. T. Spence Eds. San Francisco: W.H. Freeman and Company. 1983, pp. 75–138.[3] K

Conference Session

Changing the Engineering Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Rania Al-Hammoud P.Eng., University of Waterloo; Arshia Khan, University of Minnesota, Duluth; Ona Egbue, University of Minnesota, Duluth; Stephen Phillips, University of Waterloo

Tagged Divisions

Educational Research and Methods

theory or concept based questions as opposed toproblem or application questions). In cases where the instructor notices lack of depth in thequestions, they can stimulate the discussion by injecting deeper questions on Piazza withoutproviding the answer.Stage 2 - Learning: The second phase, learning, happens periodically throughout the term in theday(s) before upcoming mini-tests. Students are given a schedule of when mini-tests occur at thestart of the semester. In this phase, discussion on Piazza is frozen, and students are given theopportunity to study each other’s questions in preparation for the mini-test.Stage 3 - Quiz: In the third phase students are required to take the test (individually), where thequestions in the quiz will be only from

Conference Session

Understanding Our Students II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Michele L. Strutz, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

Career Development model is based on a life-long process where individualsreflect on their changing self concepts as they pass through stages of growth, exploration,establishment, maintenance, and disengagement with each career decision and transition. 6, 7Super used the “growth” and “exploration” stages to develop a children’s model that he believed“contribute[s] to career awareness and decision making”. 8 This model includes stages of Page 25.907.3curiosity, exploration, using occupational information, identifying helpful people, naming likesand dislikes, recognizing locus of control, and understanding one’s self-concept. 8Identifying helpful

Conference Session

Epistemic Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ji Hyun Yu, Purdue University, West Lafayette; Johannes Strobel, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

everyday experiences.into sub-factors. Second, to come up with multidimensional scales of Engineering-related Beliefsitems, a content validity test was conducted.Systematic Literature ReviewWe selected three representative journals of engineering education: such as Journal ofEngineering Education (JEE), European Journal of Engineering Education (EJEE), andInternational Journal of Engineering Education (IJEE). The search for JEE and IJEE wereperformed in Web of Science (up to January 2012) with the following search terms: "beliefs" or"perception" or "understanding" – AND – "survey" or "test(s)" or "questionnaire" or "scale"–AND – journal name (i.e. “Journal of Engineering Education”, “International Journal ofEngineering Education”). The search for

Conference Session

Learning From Experts

Collection

2011 ASEE Annual Conference & Exposition

Authors

Alejandra J. Magana, Purdue University, West Lafayette; Ruth A. Streveler, Purdue University, West Lafayette; Natalie Barrett, Purdue University

Tagged Divisions

Educational Research and Methods

discussion ofwhat it takes to make sense of nanoscale phenomena. This discussion could lead touncovering what Wiggins and McTighe 2 called the “enduring understanding” of acontent area together with potential effective pedagogical approaches. This model couldultimately lead to integrating the enduring understandings needed to make sense ofnanoscale phenomena with effective pedagogical methods. We hope that this modelmight become a framework for the design of nanoscale science and engineering curricula.AcknowledgmentsWe thank the seven researchers who volunteered their precious time to be interviewed forthis study.  References:  1 M. C. Roco, W. S. Bainbridge, Journal of Nanoparticle Research 2005, 7, 1--13.2 G. Wiggins, J. McTighe

Conference Session

Trends in Engineering Education 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Maura J. Borrego, Virginia Tech; Michael J. Prince, Bucknell University; Christopher Evan Nellis, Virginia Tech; Prateek Shekhar, Virginia Tech; Cindy Waters, North Carolina A&T State University; Cynthia J. Finelli, University of Michigan

Tagged Divisions

Educational Research and Methods

, dissemination, and institutionalization of a college level initiative Springer; 2008.4. Prince M. Does active learning work? A review of the research. Journal of Engineering Education. 2004;93(3):223-231.5. Seymour E, Hewitt NM. Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press; 1997.6. Tobias S. They’re not dumb, they’re different: Stalking the second tier. Tucson, AZ: Research Corporation; 1990. Page 24.1120.107. Smith K, Sheppard S, Johnson D, Johnson R. Pedagogies of engagement: Classroom-based practices. Journal of Engineering Education. 2005;94(1):87-101.8

Conference Session

Preparing for Practice

Collection

2013 ASEE Annual Conference & Exposition

Authors

Presentacion Rivera-Reyes, Utah State University - Engineering Education; Raymond Edward Boyles, Technology and Engineering Education

Tagged Divisions

Educational Research and Methods

-domain tasks in theprocess of solving-problem, indicating in step 8 “Take pride in your solution,” and step 9“Prevent future occurrences of this problem.” Page 23.1261.14References 1. Axton, T. R., Doverspike, D., Park, S. R., & Barrett, G. V. (1997). A model of the information-processing and cognitive ability requirements for mechanical troubleshooting. Int. J. Cogn. Ergon. 1(3): 245–266. 2. Brown, J. S., Burton, R. R., Bell, A. G. (1975). SOPHIE: A step toward creating a reactive learning environment. International Journal of Man-Machine Studies 7(5): 675–696. 3. Career Guidance and Students Welfare

Conference Session

Innovative Pedagogies Afforded Through Technology and Remote Learning

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Cijy Elizabeth Sunny, Baylor University; Gregory Warren Bucks, University of Cincinnati

Tagged Divisions

Educational Research and Methods

approaches (adaptingitems from existing instruments) to the development of the two survey instruments: (1) a facultysurvey to identify engaging strategies, and (2) a student survey to evaluate these strategies in aself-reported Likert format along with open-ended questions. This paper primarily presents thedevelopment of the two surveys and the validation of the student engagement survey usingexploratory structured equation modeling technique. It only briefly presents students’ evaluationof the engagement strategies as this is not the primary focus of this paper.Background and Motivation:Distance learning has been a staple of educational systems around the world since the 1700’s [1],but has only become a major topic of research in recent decades

Conference Session

Cognitive and Motivational Issues in Student Performance I

Collection

2007 Annual Conference & Exposition

Authors

Kelli Higley, Pennsylvania State University; Thomas Litzinger, Pennsylvania State University; Peggy Van Meter, Pennsylvania State University; Christine B. Masters, Pennsylvania State University; Jonna Kulikowich, Pennsylvania State University

Tagged Divisions

Educational Research and Methods

students are making. These errorsin turn can be used as a starting point for identifying the interventions that are required. Moreinsight into the differences among the clusters and the types of interventions required to addressthem will be obtained through ongoing analysis of the cluster results and through the think-aloudportion of the study that is currently underway.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under GrantEEC- 0550707. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the National

Conference Session

Graduate Education

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jillian Seniuk Cicek, University of Manitoba; Patricia Kristine Sheridan, University of Toronto; Liz A. Kuley, University of Saskatchewan; Robyn Paul, University of Calgary

Tagged Divisions

Educational Research and Methods

us to explore the process-oriented framework that Walther, Sochacka, & Kellamconceptualized and to attend to the procedural validation of our research process6. Walther et al.situate their framework in the understanding that ‘the nondualist ontology of interpretive researchdemonstrate[s] that neutral observation is, in principle, impossible.’6 Through the process ofwriting this research paper, we are developing ‘methodological awareness’ by explicitlyreflecting on how our own experiences created biases in developing the survey, which willultimately support us in ‘fostering a deeper understanding of the social system underinvestigation.’6 The qualitative framework conceived by Walther et al., and used by other EngEdresearchers in their