Conference Session

Alternatives to Traditional Assessment

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kristen M. Ward, Arizona State University; Yingyan Lou, Arizona State University

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Educational Research and Methods

students. Written assessments imaynot provide adequate direction to help students to reflect on their understanding of a subject andadapt their learning behaviors. The numerical scores given to these assignments and exams coulddistract, and sometimes discourage, students from actual learning. From the instructor’sperspective, written exams may not give an accurate evaluation of their students’ understanding asmany different factors may interfere with a student’s ability to answer written exam questions.One alternative assessment instrument is oral assessment. Oral assessment can take a variety offorms as long as there is a verbal component. Project presentations, thesis defenses, clinicalassessments, and mock trials are all examples of oral

Conference Session

Collaboration and Communication in Problem-based Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mohsen M. Dorodchi, University of North Carolina at Charlotte; Nasrin Dehbozorgi, University of North Carolina at Charlotte; Aileen Benedict, University of North Carolina at Charlotte; Erfan Al-Hossami, University of North Carolina at Charlotte; Alexandria Benedict, University of North Carolina at Charlotte

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Educational Research and Methods

. Her work mainly focuses on CS education and learning analytics, with specific interests in reflective practices and predictive analytics. More recently, she has also been learning more about various topics in machine learning, recommender systems, and mental health.Erfan Al-Hossami, University of North Carolina at Charlotte Erfan Al-Hossami is a Ph.D. student at UNC Charlotte. Erfan has been mentored in teaching CS1 since 2016 and then in CS education research. His work mainly focuses on predictive learning analytics. His research interests include Machine Learning, NLP, and Conversational A.I. and mental health. Recently, he’s been learning more about code generation, transfer learning, and text

Conference Session

Sense of Belonging and Diversity in Engineering Programs, Courses, and Teams

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Gretchen A. Dietz, University of Florida; Elliot P. Douglas, University of Florida; Erica D. McCray, University of Florida

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Diversity

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Educational Research and Methods

and home. He left hisemotional side at home and was a commanding force at work. He identified as an “extremeprofessional.” William described that he deliberately did not bring his family to work events,attend happy hours, or befriend coworkers. Because he described this separation as being “basedon race,” we interpreted his experience as inauthentic in comparison to the White participants.William also experienced isolation because of the lack of peers on his level in the workplace.Structural racism was reflected in various forms throughout the interviews. All three participantsdescribed the hiring process as based on merit. This can prove to be disadvantageous tominoritized individuals, given they often don’t have the same opportunities to

Conference Session

Experiences of Underrepresented Students in Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Abbas Ghassemi, University of California, Merced; Christopher A. Butler, University of California, Merced

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Diversity

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Educational Research and Methods

towards degree completion will be assessed through pre andpost-semester surveys, reflections, and final exam/presentation scores. At the two south valleycampuses, students will be primarily be assessed to identify the length to which FC-E-POGILpedagogy is successful in improving knowledge gains. The impact of the two pedagogies onknowledge gains will be evaluated by conducting a one-way repeated measure analysis ofvariance (ANOVA). The ANOVA analysis will assess the difference in participants’ summativeknowledge gains based on final exams and presentations as the summative assessment method ateach respective campus. Institutional data on student’s majors and progress towards graduationand will indicate if participation in these courses helps meet

Conference Session

Degree Pathways and Cocurricular Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Beata Johnson, Purdue University, West Lafayette; Joyce B. Main, Purdue University, West Lafayette

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Educational Research and Methods

that ourapproach can be replicated in other fields and other student populations.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grants1842166 and 1329283. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation. We thank the SPHERE research group for their helpful feedback.References[1] S. Kovalchuk, M. Ghali, M. Klassen, D. Reeve, and R. Sacks, “Transitioning from university to employment in engineering: The role of curricular and co-curricular activities,” in 2017 ASEE Annual Conference & Exposition, 2017.[2] R. Korte, S. Brunhaver, and S. Zehr

Conference Session

Educational Research and Methods Division (ERM) Best Paper Finalists

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Dina Verdín, Arizona State University; Jessica Mary Smith, Colorado School of Mines; Juan C. Lucena, Colorado School of Mines

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Diversity

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Educational Research and Methods

]–[4]. Engineeringknowledge is not value neutral and—depending on how it is selected, organized, demarcated,delivered, and evaluated—it can have discriminatory effects on different populations (e.g., [5]–[7]. Often students are implicitly asked to leave aspects of themselves at the door before enteringthe classroom in order to learn “objective” engineering knowledge [8]. This history of theengineering profession means that class biases were baked into its educational systems, helping toexplain why students from low-income and working-class backgrounds describe the culture andcontent of undergraduate engineering programs as foreign, if not hostile (e.g., [9]). Critically reflecting on what knowledge “counts” as engineering knowledge is

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Constanza Miranda, Pontificia Universidad Católica de Chile; Julián Iñaki Goñi, Pontificia Universidad Católica de Chile; Bruk T. Berhane, Florida International University; Trinidad Sotomayor, Pontificia Universidad Católica de Chile

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Educational Research and Methods

quantifiable surveys. Most importantly, these themes reflect a morerobust and inclusive concept of entrepreneurship that extends beyond business-relatedentrepreneurial intent. This is particularly relevant in the spirit of educational inclusion. Indeed,not all students may start a new business, but we assert that all students ought to have theopportunity to explore the significance of developing an entrepreneurial mindset.Simultaneously, engineering faculty will potentially benefit from being able to integratecomponents of the entrepreneurial mindset in their courses.To tackle our research questions, we implemented a qualitative research design in order toidentify constructs and items. First, we started by conducting a critical review of the

Conference Session

K-12 and Bridge Experiences in Engineering Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Timothy Ryan Duckett, University of Toledo; Gale A. Mentzer, Acumen Research and Evaluation, LLC

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Educational Research and Methods

down into a series of small, moremanageable problems (decomposition). The smaller problems can be looked at individually, consideringhow similar problems have been solved previously (pattern recognition) and focusing only on the importantdetails, while ignoring irrelevant information (abstraction). Next, simple steps or rules to solve each smallerproblem can be designed (algorithms). Research on CT assessment indicated that focusing on the processstudents follow to solve problems was essential to uncovering CT skills rather than relying upon summativetesting. Assessments should include items that examine how students process, scaffold, and reflect uponinformation as well as the steps they follow to solve problems including reviewing and

Conference Session

Student Approaches to Problem Solving

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ada Hurst, University of Waterloo; Gregory Litster, University of Waterloo; Christopher Rennick, University of Waterloo

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Educational Research and Methods

innovations in engineering design pedagogy, problem- based learning, and effective teamwork in student teams. After completing undergraduate studies in electrical engineering, she continued on to earn a Masters and then a doctoral degree in management sciences, all from the University of Waterloo.Mr. Gregory Litster, University of Waterloo Greg Litster is currently a graduate student pursuing his M.A.Sc in Management Sciences at the University of Waterloo. He received his BKI Honours, Joint Honours in Mathematics from the University of Waterloo in 2019. His research interests are focused on student design education, group dynamics, and reflection as a part of the design process.Mr. Christopher Rennick, University of

Conference Session

Engineering Education Research Practices and Community

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Javeed Kittur, Arizona State University; Brooke Charae Coley, Arizona State University; Nadia N. Kellam, Arizona State University

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Educational Research and Methods

were written for the four interview transcripts using the codes generatedfrom first cycle coding to document and reflect on the code choices, and to know more about theemergent categories and subcategories in the data. In transition from the first cycle coding to thesecond cycle, only in vivo coding was used to recode and reanalyze the data as this coding processrelies heavily on the participants own language for codes [13]. The emergent categories andsubcategories from the analytic memos were used in the after-cycle coding method to categorizethe data.In after first cycle coding, the code mapping technique was used and the details of the same areshown in Table 4. Code mapping is a technique that helps in assembling and organizing the

Conference Session

Faculty and Student Perspective on Instructional Strategies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Guangming Yao, Clarkson University; Kelly Black, University of Georgia; Michael W. Ramsdell, Clarkson University; Matthew K. Voigt, San Diego State University; Kalani Kithuliya Rubasinghe Kattadige, Clarkson University; Wen Li, University of California, Los Angeles

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Educational Research and Methods

. Thegoal is to improve students performance in early STEM courses and increase retention rate. Thecourses feature a calculus sequence that has been redesigned to coincide with the physics courses,and the mathematical concepts are introduced in the concept of physics problems with the goalof examining more abstract mathematical ideas once the concrete notions are formulated. Theprogram identifies students’ needs prior to enrollment using the physics and math scores. Thestudents’ high physics intuition may reflect their higher intuitive understanding of the real-worldphysical problems, while needing support in understanding of abstract mathematical modelingand manipulations skills. COMPASS focuses on taking advantages of students’ physics

Conference Session

Collaboration and Communication in Problem-based Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kakan C Dey P.E., West Virginia University; Md Tawhidur Rahman, West Virginia University; V. Dimitra Pyrialakou, West Virginia University; David Martinelli, West Virginia University; Karen E Rambo-Hernandez, Texas A&M University; Julia Daisy Fraustino, West Virginia University; John Deskins; L Christopher Plein, West Virginia University; Abhik Ranjan Roy, West Virginia University

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Diversity

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Educational Research and Methods

/assignments. Therefore, as part of this study, the participating faculty regularlyengage with two social science research experts in engineering education who serve as mentorsfor survey, focus group, evaluation, and reflection best practices in course design andassessment.In sum, the unique features of the HEPE offer the following features: (i) students working inteams, (ii) students working across disciplines, (iii) students working on an open-ended problem,(iv) students having access to professors from multiple disciplines, and (v) students havingaccess to external expertise and critique. The next section (section 4.2) describes the details ofthe course offering.4.2 Course implementation structureTwenty-one students are enrolled in the initial

Conference Session

Student Perceptions of Self-efficacy, Success, and Identity

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hindolo Michael Kamanda, University of Georgia; Davis George Anderson Wilson, University of Georgia; Joachim Walther, University of Georgia; Nicola W. Sochacka, University of Georgia; Stephen Secules, Florida International University; James L. Huff, Harding University

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Diversity

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Educational Research and Methods

and reflection in engineering learning, and student development in interdisciplinary and interprofessional spaces.Dr. Nicola W. Sochacka, University of Georgia Dr. Nicola Sochacka is the Associate Director for Research Initiation and Enablement in the Engineering Education Transformations Institute (EETI) in the College of Engineering at UGA. Supported by over 1.5M in funding, Dr. Sochacka’s research interests include systems thinking, diversity, STEAM (STEM + Art) education, and the role of empathy in engineering education and practice. Her work has been recognized through multiple best paper awards and keynote presentations at international and national conferences and workshops.Dr. Stephen Secules, Florida

Conference Session

Educational Research and Methods Division (ERM) Best Paper Finalists

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

H. Ronald Clements III, Purdue University, West Lafayette; Brianna Benedict McIntyre, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette; Jacqueline Ann Rohde, Purdue University, West Lafayette; Sherry Chen

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Educational Research and Methods

engineering knowledge and contribute in a classroom setting.In recalling negative interactions with faculty, students reversed the professor’s role in the struggleagainst the content of the course, positioning faculty as an obstacle rather than a support.Participants described their instructors as making their courses difficult, meticulous, or unfair. Incertain circumstances, students simply described their instructors as being bad teachers. Forexample, Charlie described how the faculty who were adversaries were professors, not teachers.This finding reflects the tension faculty experience between research and teaching, as Alpaya andVerschoorb identified how teaching accomplishments are not perceived as high as other aspectsof their role as faculty

Conference Session

Team Facilitation and Effectiveness

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

P.K. Imbrie, University of Cincinnati; Jutshi Agarwal, University of Cincinnati; Gibin Raju, University of Cincinnati

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Educational Research and Methods

clear, long term goals to complete tasks.11. I had confidence in each team member to contribute his/her fair share of what was required.12. This team helped me understand the material presented in this course.13. Deleted – incomplete question-14. Our team did not function well as a team; we did not establish any process to hold one another accountable nor did I ever know what individuals were responsible for. (Reverse)15. Working on this team made me realize that some things about myself (e.g., communication ability, leadership) that I was not aware of.16. My team reflected upon its goals in order to plan for future work.17. My team used a process/method (e.g., code of cooperation) to hold each member accountable.18. This team

Conference Session

Collaboration and Communication in Problem-based Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Taylor Tucker, University of Illinois at Urbana-Champaign; Saadeddine Shehab, University of Illinois at Urbana-Champaign; Emma Mercier, University of Illinois at Urbana-Champaign

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Educational Research and Methods

-quality interactions and higher scores in this study could have beeninfluenced or caused by other variables beyond our control; more controlled studies are neededto validate these findings.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No. 1628976. Anyopinions, findings, conclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] D.H. Jonassen, and W. Hung, “All problems are not equal: implications for problem-based learning,” Interdisciplinary Journal of Problem-Based Learning, vol. 2, no. 2, pp. 6-28, 2008.[2] D.H. Jonassen, “Instructional Design Models for Well

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wonki Lee, Purdue University, West Lafayette; Jeffrey F. Rhoads, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; Jennifer Deboer, Purdue University, West Lafayette

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Diversity

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Educational Research and Methods

reflect the self-regulative learning experiences oflearners.The MSLQ in the Freeform context In 2008, an active, blended, and collaborative (ABC) teaching and learning environmentfor a core engineering science course (Dynamics), named Freeform, was developed and adoptedby a team of mechanics instructors [28]. With the goal of a student-centered classroom, Freeformtransformed a lecture-based pedagogical environment to a highly-networked pedagogicalenvironment. The hybrid nature of course resources (i.e., instructor-produced videos, hybridtextbooks which combined a traditional textbook and significant white space for note taking, anda course blog) allowed the students to actively, collaboratively engage in the class and managemultiple

Conference Session

Experiences of Underrepresented Students in Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Indhira María Hasbún, Florida International University; Alexandra Coso Strong, Florida International University

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Diversity

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Educational Research and Methods

will use the list of themes and codes developed by Garcia etal.’s (2019) servingness framework as a starting point of a priori codes, while also employingopen coding to identify structural characteristics that are specific to this context and do not fit thelist of codes in Garcia’s study. To identify the cultural characteristics, we will utilize valuecoding, defined by Saldaña (2016) as the application of codes unto data that reflects the values,attitudes, and beliefs about the phenomenon under study [21]. In this case, these codes will applyto the institution’s values, attitudes and beliefs about their role in serving Latinx students. Oncethe structural and cultural characteristics have been identified, we will conduct a second round ofcoding

Conference Session

Cognitive Skills Development

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Hannah Smith, Queen's University; Brian M. Frank, Queen's University

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Educational Research and Methods

EffortStudent effort is known to be a significant predictor of performance on low-stakes tests [22].During ESO testing, proctors observed that some students testing in-class clicked throughquestions toward the end of the test, reflecting decreasing effort. Results from the ESO showed acorrelation between time spent on the core test components and final core score, suggesting thatstudent effort did impact achievement.However, previous work on PIAAC engagement suggests that the proportion of disengagedrespondents from Canada with educational attainment greater than high school is less than 5%[30]. Only 4.2% of the students in this sample were filtered out because of low time spent ontest, which aligns with this previous evaluation of disengaged

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

John Chen, California Polytechnic State University, San Luis Obispo; Jenna Michelle Landy, California Polytechnic State University, San Luis Obispo; Matthew Scheidt, Purdue University, West Lafayette; Justin Charles Major, Purdue University, West Lafayette; Julianna Ge, Purdue University, West Lafayette; Camaryn Elizabeth Chambers, California Polytechnic State University, San Luis Obispo; Christina Grigorian; Michelle Kerfs, California Polytechnic State University, San Luis Obispo; Edward J. Berger, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette; Brian P. Self, California Polytechnic State University, San Luis Obispo; James M. Widmann, California Polytechnic State University, San Luis Obispo

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Educational Research and Methods

initiatives to address malleable traits in studentsthat might hinder their academic success.Acknowledgement This material is based upon work supported by the National Science Foundation under GrantNos. DUE-1626287, DUE-1626185, and DUE-1626148.). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation. We would like to thank all thestudents who participated in this study. Without their time spent in thoughtful response, thiswork would not be possible.References1. Gordeeva, T.O. and Osin, E.N. (2011). Optimistic attributional style as a predictor of well- being and performance in different academic settings. Ch. 14

Conference Session

Understanding Student Behavior and Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Nancy Nelson, University of Calgary; Robert William Brennan, University of Calgary

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Educational Research and Methods

’ practices and values also alignedfor both factors indicating they did what they believed was best for their success. There was,however, no alignment between students’ prioritization and their values. Early interventions thathelp balance students’ priorities, supported with ongoing reflective practice, may help bringstudents’ priorities, practices and values into alignment.LimitationsWe believe that the participants in this study represent all Canadian undergraduate engineeringstudents, but recognize they are not statistically representative. The findings of this survey mayhave a bias associated with non-response. Students who chose to complete the survey may havedifferent views from those who did not. It is also not known what other factors may

Conference Session

Experiences of Underrepresented Students in Engineering

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Oleksandr Kravchenko, Old Dominion University; Konstantin Cigularov, Old Dominion University; Phillip Dillulio, Old Dominion University

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Educational Research and Methods

Requirements Through 2018. LuminaFoundation, 2010.[4] A. P. Carnevale, N. Smith, and J. Strohl, “Recovery: Job Growth And EducationRequirements Through 2020,” Jul. 2013.[5] G. Markle, “Factors Influencing Persistence Among Nontraditional University Students,”Adult Educ. Q., vol. 65, no. 3, pp. 267–285, Aug. 2015.[6] “National Center for Educational Statistics: Enrollment in Postsecondary Institutions Fall2011 and graduation rates, selected cohorts 2003-2008. Retrieved fromhttps://nces.ed.gov/programs/digest/d11/tables/dt11_200.asp.”[7] C. Hittepole, “Nontraditional Students: Supporting Changing Student Populations.” StudentAffairs Administration in Higher Education, 2015.[8] R. Brindley and A. Parker, “Transitioning to the classroom: reflections of

Conference Session

Degree Pathways and Cocurricular Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joanna Mirecki Millunchick, University of Michigan; Yixian Zhou, University of Michigan

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Educational Research and Methods

,” J. STEM Educ., vol. 18, no. 2, pp. 10–17, 2017.[4] T. Kinoshita, G. Young, and D. B. Knight, “Learning after learning: Perceptions of engineering alumni on skill development,” Proc. - Front. Educ. Conf. FIE, vol. 2015- Febru, no. February, 2015.[5] L. C. Strauss and P. T. Terenzini, “The Effects of Students’ In- and Out-of-Class Experiences on their Analytical and Group Skills: A Study of Engineering Education,” Res. High. Educ., vol. 48, no. 8, pp. 967–992, Dec. 2007.[6] G. Young, D. B. Knight, and D. R. Simmons, “Co-curricular experiences link to nontechnical skill development for African-American engineers: Communication, Teamwork, Professionalism, Lifelong Learning, and Reflective Behavior Skills,” in 2014

Conference Session

Approaches to Curriculum and Policy

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Afroditi Vennie Filippas, Virginia Commonwealth University; Rebecca Segal, Virginia Commonwealth University ; Alen Docef, Virginia Commonwealth University

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Educational Research and Methods

. Question pertained to the topics currently covered in theDifferential Equations course and their perceived importance by the respondents. There is avariation between these topics and those surveyed in 2017; this reflects the desire of the team tooffer some other topics not covered in 2017.Question 2: What is your perception of what the students learn and/or the level of instruction inMATH 301 (Differential Equations – in terms of topics covered) (Conditional on answering“yes” to Question 1 above).Fourteen people answered this question; the results can be seen in Graph 3. As can be noted, noengineering faculty chose “Exceeded Expectations”, thus confirming the necessity of thisinitiative, but 71% claimed that the course and/or student achievement

Conference Session

Sense of Belonging and Diversity in Engineering Programs, Courses, and Teams

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robert M. O'Hara, Clemson University; Candice Bolding, Clemson University; Jennifer Harper Ogle, Clemson University; Lisa Benson, Clemson University; Rachel Lanning, Clemson University

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Educational Research and Methods

grant from the National Science Foundation (Award # EEC-1730576). 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 NationalScience Foundation. The authors are grateful to Catherine McGough and Rachel Lanning fortheir assistance in collecting and analyzing survey data.References[1] W. Sarasua, N. Kaye, J. Ogle, N. Benaissa, L. Benson, B. Putman and A. Pfirman, “Engaging Civil Engineering Students Through a ‘Capstone-like’ Experience in their Sophomore Year.” Proceedings of the 2020 Annual American Society of Engineering Education (ASEE) Conference and Exposition, Virtual Conference, June 21 – 24, 2020.[2] Ogle, J.H., Bolding

Conference Session

Teaching and Learning in Online Environments

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Stefanos Papanikolaou, West Virginia University

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Educational Research and Methods

outcomes, reflecting the skills and attributes that all MechanicalEngineering students are expected to possess at the time of graduation. These student outcomesare based on documentation collected during the annual assessment process and represent acombination of direct and indirect measures, such as the performance of student work, FE examresults, formal survey data, as well as data of specific curriculum courses' completion. Thecourse of Thermodynamics represents a significant portion of the FE exam (~10%). In thisevidence-based practice study, students were tested weekly under the FE exam format (3 minutesper question, 4-5 questions) in a pre-set time interval. The exams were administered throughGoogle Classroom and Google Forms, and students

Conference Session

Educational Research and Methods Division (ERM) Best Paper Finalists

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Justin Charles Major, Purdue University, West Lafayette; Matthew Scheidt, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette; Edward J. Berger, Purdue University, West Lafayette; John Chen, California Polytechnic State University, San Luis Obispo

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Educational Research and Methods

recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] T. G. Duncan and W. J. McKeachie, “The making of the Motivated Strategies for Learning Questionnaire,” Educ. Psychol., vol. 40, no. 2, pp. 117–128, 2005, doi: 10.1207/s15326985ep4002_6.[2] R. H. Liebert and L. W. Morris, “Cognitive and emotional components of test anxiety: A distinction and some initial data,” Psychol. Rep., vol. 20, pp. 975–978, 1967.[3] R. L. Matz et al., “Patterns of gendered performance differences in large introductory courses at five research universities,” AERA Open, 2017, doi: 10.1177/2332858417743754.[4] B. King, “Changing college majors: Does it

Conference Session

Graduate Education Expectations, Preparation, and Pathways

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kanembe Shanachilubwa, Pennsylvania State University; Catherine G.P. Berdanier, Pennsylvania State University

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Educational Research and Methods

to discuss how their commitment to their interests also led them to mentor and serveothers using their knowledge. This pattern commonly employed by the participantsremarkably reflects the three tenants of Stewardship Theory as if it were a template used toconstruct each personal statement. The guidelines provided for the GRFP orient applicants todemonstrate their aptitude for conserving, generating, and transforming knowledge.Stewardship Theory constitutes the implicit framework applicants are led to use in their bid todemonstrate their viability as graduate students.ConservationEach participant demonstrated how they grew to become stewards of their discipline throughtheir learning and studies. They distinguished themselves from their peers

Conference Session

Graduate Education Expectations, Preparation, and Pathways

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Maya Denton, University of Texas at Austin; Nathan Hyungsok Choe, Ohio State University; Maura J. Borrego, University of Texas at Austin; David B. Knight, Virginia Polytechnic Institute and State University

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Educational Research and Methods

to other STEMdepartments to understand the generalizability of results beyond the discipline and institutionstudied, using this analysis approach as a guide. It is also important to begin to consider howequity considerations factor into graduate funding allocations, meaning what students arereceiving what types of sequential funding and how that impacts persistence and completion forwomen and Students of Color.AcknowledgementsThis research was funded by the National Science Foundation through grants #1535462 and#1535226. Any opinions, findings, and conclusions in this article are the authors’ and do notnecessarily reflect the views of the National Science Foundation. We would like to thank ourcollaborators for their contributions to this

Conference Session

Student Motivation, Identity, and Resilience

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Saira Anwar, Purdue University, West Lafayette; Muhsin Menekse, Purdue University, West Lafayette; Ahmed Ashraf Butt, Purdue University, West Lafayette

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Educational Research and Methods

students' motivation, goals, and self-efficacy on performance," in Proceedings of the 2016 ACM Conference on International Computing Education Research, 2016, pp. 211–220.[49] D. Heo, S. Anwar, and M. Menekse, "The relationship between engineering students' achievement goals, reflection behaviors, and learning outcomes," Int. J. Eng. Educ., vol. 34, no. 5, pp. 1634–1643, 2018.