Conference Session

Entrepreneurship and Inventive Thinking & Student Beliefs

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ying Wang, Georgia Institute of Technology; Joy Harris; Karthik Ramachandran, Georgia Institute of Technology

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Educational Research and Methods Division (ERM)

HarrisKarthik Ramachandran, Georgia Institute of Technology ©American Society for Engineering Education, 2023 Measuring Engineering Students’ Entrepreneurial Self-Efficacy in an Entrepreneurship Education ProgramAbstract In this research paper, we developed and examined an Entrepreneurial Self-Efficacy forEngineering Students (ESE-E) instrument. Entrepreneurial self-efficacy refers to individuals’perceived capabilities to perform entrepreneurial tasks and produce entrepreneurial-relatedoutcomes. It is critical to develop and test the measurement of entrepreneurial self-efficacy withthe engineering student population. Further, entrepreneurship education programs are increasingand play a crucial

Conference Session

Research Methodologies – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Todd M. Fernandez, Georgia Institute of Technology; David S. Ancalle, Department of Civil and Environmental Engineering, Kennesaw State University

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Educational Research and Methods Division (ERM)

self-efficacy with engineering students1 IntroductionIn this research paper, we re-evaluate structural aspects of validity for two instruments, the CurrentStatistics Self-Efficacy (CSSE) scale and the Statistical Reasoning Assessment (SRA) [1, 2]. The CSSE isa self-report measure of statistics self-efficacy while the SRA is a scored and criterion-based assessment ofstatistical reasoning skills and misconceptions. Both instruments were developed by statistics educationresearchers and have been consistently used to measure learning and interventions in collegiate statisticseducation. Our re-evaluation is part of a broader study of the effect of using a reflection-based homeworkgrading system in a biomedical engineering statistics course [3, 4

Conference Session

Student Experiences and Development – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tejas Gupta, Nanyang Technological University ; Ibrahim H. Yeter, Nanyang Technological University; Michael Jin Khoo, Singapore University of Technology and Design

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Diversity

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Educational Research and Methods Division (ERM)

scores for all eight items were averaged to calculate the mean self-efficacystrength scores. Lower scores were indicative of weaker self-efficacy percepts, while higherscores were indicative of stronger self-efficacy percepts. The computed Cronbach’s α was.89, reflecting adequate internal consistency.Outcome Expectation (OE). Ten measures were used to determine participants’ OE, inspiredby Lent et al. (2003). Participants were required to answer their level of understanding withstatements that contained positive outcomes resulting from obtaining a Bachelor of Sciencedegree in engineering (e.g., “graduating with a BS degree in engineering will likely allow meto earn an attractive salary”). Their answers were ranked from 1 (strongly disagree) to 5

Conference Session

Work-in-Progress Session: Supporting Students To, Through, and Beyond Transitions

Collection

2023 ASEE Annual Conference & Exposition

Authors

Cody D. Jenkins; Thien Ngoc Y. Ta, Arizona State University; Ryan James Milcarek, Arizona State University; Gary Lichtenstein, Quality Evaluation Designs; Samantha Ruth Brunhaver, Arizona State University; Karl A. Smith, University of Minnesota, Twin Cities

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Educational Research and Methods Division (ERM)

Paper ID #39089Work in Progress: PEERSIST – A Formation of Engineers Framework forUnderstanding Self-Efficacy and Persistence among Transfer StudentsCody D. JenkinsMs. Thien Ngoc Y. Ta, Arizona State University Thien Ta is a doctoral student of Engineering Education Systems and Design at Arizona State University. She obtained her B.S., and M.S. in Mechanical Engineering. She has taught for Cao Thang technical college for seven years in Vietnam. She is currentlyDr. Ryan James Milcarek, Arizona State University Ryan Milcarek obtained his B.S., M.S. and Ph.D. in the Mechanical & Aerospace Engineering Department at

Conference Session

Instrument Design and Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Alicia Nicki Washington Ph.D., Duke University; Anna Romanova, Winthrop University; Philip Nelson; Siobahn Day Grady, North Carolina Central University; Legand Burge, Howard University

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Diversity

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Educational Research and Methods Division (ERM)

. Thisforces students to (re-)enter the same harmful environments with the expectation of developingenough “grit” to “persist” [13]. These efforts place the responsibility on the most minoritized,with no focus on those from dominant identities who create/enable these environments. Creatingand sustaining more equitable and inclusive environments requires improving everyone’scultural competence (not just increasing sense of belonging and self-efficacy in those who aremost harmed).As more computing departments develop interventions to increase diversity, equity, andinclusion that target all students [2], [14], an instrument for measuring their impact beyondenrollment, retention, and graduation rates is needed. This work details the development andtesting

Conference Session

Formation and Development of Engineers

Collection

2023 ASEE Annual Conference & Exposition

Authors

Denise Wilson, University of Washington; Jennifer J. VanAntwerp, Calvin University; Shruti Misra, University of Washington

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Educational Research and Methods Division (ERM)

Paper ID #38149Engineering CAReS: Measuring Basic Psychological Needs in theEngineering WorkplaceProf. Denise Wilson, University of Washington Denise Wilson is a professor of electrical and computer engineering at the University of Washington, Seattle. Her research interests are split between technical research in sensors and sensor systems and engineering education with an emphasis on the role of self-efficacy, belonging, and other non-cognitive aspects of the engineering classroom and engineering workplace.Dr. Jennifer J. VanAntwerp, Calvin University Jennifer J. VanAntwerp is Professor of Engineering at Calvin University

Conference Session

Reviewing Methods for Educational Research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Xiaoye Yang, University of Massachusetts, Lowell; Hsien-Yuan Hsu, University of Massachusetts, Lowell; Giovanni Bautista, University of Massachusetts, Lowell; Yanfen Li, University of Massachusetts, Lowell

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Diversity

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Educational Research and Methods Division (ERM)

STEM education for future researchers. He is currently participating in an NSF-funded grant (#1923452) to spearhead research into middle school students’ digital literacies and assessment. Recently, Dr. Hsu has received a seed grant at UML to investigate how undergradu- ate engineering students’ digital inequalities and self-directed learning characteristics (e.g., self-efficacy) affect their learning outcomes in a virtual laboratory environment during the COVID-19 pandemic. Dr. Hsu’s research interests include advanced quantitative design and analysis and their applications in STEM education, large-scale assessment data (e.g., PISA), and engineering students’ perception of faculty en- couragement and

Conference Session

Entrepreneurship and Inventive Thinking & Student Beliefs

Collection

2023 ASEE Annual Conference & Exposition

Authors

Joanna K. Garner, Old Dominion University; Melissa G. Kuhn, Old Dominion University; Jayme M. Cellitioci; Matthew Carter

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Diversity

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Educational Research and Methods Division (ERM)

and a possible solution,(Conradty, Sotiriou & Bogner, 2020). Self-report measures of design self-efficacy also tend toreflect subject domains such as science (self-efficacy for designing experiments; Hushman &Marley, 2015) and the arts (designing in a visual arts environment; Catterall & Peppler, 2007).Notably, we did not find a self-report measure for problem-finding, ingenuity, or inventivenessthat could be used in elementary and middle school settings.1 Models of the invention process are analogous to the pedagogical guidance provided in models of the engineeringdesign process or the scientific method.Rationale for the Study Using Inventive Mindset measure data from 252 elementary and middle school agedchildren, Garner

Conference Session

Instrument Design and Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Felicity Bilow, Clarkson University; Mohammad Meysami, Clarkson University ; Jan DeWaters, Clarkson University

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Educational Research and Methods Division (ERM)

profession.DiscussionWe developed a questionnaire to measure student attitudes toward and perceptions ofengineering using items adapted from two previously vetted questionnaires. The instrument’sreliability and validity were confirmed through item analysis and an iterative EFA in which weexplored four models, with the number of factors ranging from three to six. Most adequate wasthe 6-factor structure, which assesses students’: (1) academic self-confidence and self-efficacy;(2) sense of belonging in engineering; (3) attitudes toward persisting and succeeding inengineering; (4) understanding of the broad nature of engineering; and perceptions of theimportance of (5) non-technical and (6) technical skills in engineering.Although the scree plot (Figure 1

Conference Session

Instrument Design and Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Wei Zhang, Zhejiang University; Liang Wang, School of Public Affairs, Zhejiang University; 帅 王, the School of Public Affairs, Zhejiang University

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Educational Research and Methods Division (ERM)

between authentic engineering learning and student engagement [35],professional identity or learning interest [36] , student-perceived learning outcomes [37], reasonableassumptions and problem-solving abilities [32], engineering learning self-efficacy [38] and so on.RESEARCH PURPOSEThe current study was situated in the engineering learning in communities of practice. Communities ofpractice were seen as an effectively collaborative learning situations with a group of learners sharingprofessional knowledge and common career enthusiasm. In our previous study, we found community ofpractice is an important engineering learning context and engineering learning happening in communitiesof practice usually focused on solving the authentic engineering

Conference Session

Student Experiences and Development – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Maham A Godil, Purdue University West Lafayette; Jennifer Deboer, Purdue University at West Lafayette (COE); Dhinesh Balaji Radhakrishnan, Purdue University at West Lafayette (COE)

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Diversity

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Educational Research and Methods Division (ERM)

in our courses to see students' attitudes towardengineering and analyze the engineering course progress.As the assessment team (authors), we develop new learning models and assessment methodsspecifically tailored to the LED program. These methods allow us to measure the effectivenessof the program in promoting engineering understanding and attitudes among students. Byanalyzing the results of our assessments, we provide instructors and researchers with valuableinsights into how the LED program can be improved and how it compares to other engineeringeducation programs. We are particularly interested in examining the influence of the LEDprogram on students' self-determination, motivation, and self-efficacy, as these factors haveshown to be

Conference Session

Disciplinary Engineering Education Research – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Joreen Arigye, Purdue University; Alejandra J. Magana, Purdue University at West Lafayette (COE); Joseph A. Lyon, Purdue University; Elsje Pienaar

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Educational Research and Methods Division (ERM)

.[13] P. Yantraprakorn, P. Darasawang, and P. Wiriyakarun, “Enhancing self-efficacy through scaffolding,” Proceedings from FLLT, 2013.[14] A. Bandura, “Self-efficacy: toward a unifying theory of behavioral change.,” Psychological review, vol. 84, no. 2, p. 191, 1977.[15] R. M. Klassen and E. L. Usher, “Self-efficacy in educational settings: Recent research and emerging directions,” The decade ahead: Theoretical perspectives on motivation and achievement, vol. 16, pp. 1–33, 2010.[16] M. J. Scott and G. Ghinea, “Measuring enrichment: the assembly and validation of an instrument to assess student self-beliefs in CS1,” in Proceedings of the tenth annual conference on International computing education research, 2014, pp. 123

Conference Session

Exploration of Written and Team Communication

Collection

2023 ASEE Annual Conference & Exposition

Authors

D'Arcy Randall, Dept. of Mechanical Engineering, The University of Texas at Austin; Hyesun You, The University of Iowa; Daniel S. Puperi, The University of Texas at Austin; Thomas E. Lindsay, The University of Texas at Austin; Rhya Moffitt Brooke, The University of Texas at Austin

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Educational Research and Methods Division (ERM)

“illustrating quantitative results withqualitative findings” [25, p. 68]. Quantitative data from the surveys were analyzed to measurethe students’ self-efficacy in targeted writing skills. In addition, quantitative data from theassessed student writing samples were analyzed to measure improvements from draft to final,and from control to intervention. The qualitative data from students’ reflections supported thequantitative results.BME Laboratory Course, Writing Assignment, and Intervention BackgroundEntering BME students enroll in the laboratory course during their first year; for fall semesterstudents, it is one of their first university courses. Unlike the engineering undergraduates studiedin [12]-[13], most students in this study had not completed a

Conference Session

Reviewing Emergent Topics and Theory in Engineering Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Alexander V. Struck Jannini, Purdue University, West Lafayette; Muhsin Menekse, Purdue University, West Lafayette

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Educational Research and Methods Division (ERM)

year. Another important finding was that expectancy beliefs werepositive predictors of academic achievement in the form of higher GPAs, while value beliefswere predictors of more concrete career plans. Another study that found differences based on sexwas looking into intelligence beliefs and social comparisons [50]. The results of this papershowed that strong self-efficacy, which relates to expectancy measures, was more beneficial tofemales than males regarding final course grades. Another interesting, and concerning, findingwas that intelligence growth mindsets had no correlational effect on self-efficacy for women andthat students concerned with social comparisons were just as detrimental to self-efficacy for bothmales and females. Social

Conference Session

Self-Regulation and Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Taiwo Raphael Feyijimi, University of Georgia; Olanrewaju Paul Olaogun, University of Georgia; ISAAC DAMILARE DUNMOYE, Engineering Education and Transformation Institute, College of Engineering, University of Georgia, Athens, GA, USA; Nathaniel Hunsu, University of Georgia

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Educational Research and Methods Division (ERM)

," Annual Review of Organizational Psychology and Organizational Behavior, vol. 9, pp. 339-363, 2022.[28] T. Sitzmann, K. Ely, K. G. Brown, and K. N. Bauer, "Self-assessment of knowledge: A cognitive learning or affective measure?," Academy of Management Learning & Education, vol. 9, no. 2, pp. 169-191, 2010.[29] E. M. Kissling and M. E. O'Donnell, "Increasing language awareness and self-efficacy of FL students using self-assessment and the ACTFL proficiency guidelines," Language Awareness, vol. 24, no. 4, pp. 283-302, 2015.[30] A. Knight, "Using self-assessment to build self-efficacy and intrinsic motivation in athletes: a mixed methods explanatory design on female adolescent volleyball players

Conference Session

Student Teams and Teamwork

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yiyi Wang, San Francisco State University; Xiaorong Zhang, San Francisco State University; Fatemeh Khalkhal; Stephanie Claussen, San Francisco State University; Ana Karen Biviano

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Diversity

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Educational Research and Methods Division (ERM)

through P3). Also, students who reported better interactions withteammates (B.5) had a stronger sense of self-efficacy in engineering classes in a statisticallysignificant way. Except for interactions with teammates, all behavior metrics were positively andsignificantly linked to the EI dimension that measured how much they were perceived as a goodengineer by their professors and peers. Similarly, when a student was perceived as a goodengineer by their peers, he or she tended to do a better job keeping the team on track (B.2), at asignificance level of 0.001. Results were detailed in Appendix Table A.4.Teamwork behaviors were linked to team conflicts in modest ways. Students who ratedthemselves lower on interactions with teammates tended to

Conference Session

Promoting Well-Being in Engineering Education: Strategies and Perspectives

Collection

2023 ASEE Annual Conference & Exposition

Authors

Haleh Barmaki Brotherton, Clemson University; Marisa K. Orr, Clemson University

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Educational Research and Methods Division (ERM)

can increase the enrollment of students in Engineering. In addition, women’s self-beliefsplay a significant role in choosing their Engineering career. While compared to their maleengineering students, women’s self-perception of their performance and skills in Engineering arelower which could contribute to decreased desire in choosing and remaining in Engineering.Similarly, themes on the shared experience of Engineering identity (Huff, Smith, Jesiek,Zoltowski, & Oakes, 2019)showcase that stable career patterns are associated with higherdegrees of self-efficacy. According to (Byrnes, 1998) self-efficacy beliefs directly impactdecision-making behaviors in a way that college students with higher self-efficacy abilities aremore prone to

Conference Session

Investigating Student Pathways to and through Undergraduate and Graduate Programs

Collection

2023 ASEE Annual Conference & Exposition

Authors

Joyce B. Main, Purdue University; Tram Dang, Purdue University; Beata Johnson, Purdue University at West Lafayette (COE); Qian Shi, Purdue University; Cesare Guariniello, Purdue University; Daniel Delaurentis, Purdue University

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Diversity

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Educational Research and Methods Division (ERM)

study following over 23,000 students from 2009 to 2016.The data were analyzed using multiple regression analyses to correlate high school,demographic, academic achievement factors from the 2009 and 2012 data collection waves to astudent’s likelihood of attending college and majoring in a STEM field. The high school levelfactors that were found to be significant predictors for college STEM major declaration includethe student’s family background, high school STEM GPA, and measures for math/scienceidentity. The findings are mixed and suggest further research is needed, particularly indisaggregating the math/science self-efficacy, identity, and utility measures, as well as ininvestigating potential differences in major choice by field separately

Conference Session

Student Assessments and Tests

Collection

2023 ASEE Annual Conference & Exposition

Authors

Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska Lincoln; Nathaniel Hunsu, University of Georgia

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Educational Research and Methods Division (ERM)

learning goals in a bid to improve their learning [8]. Also, by self-assessingtheir learning, students are brought into the learning process thereby making them active and notpassive contributors to their own learning [6]. On the other hand, instructors also find self-assessments to be valuable as they take advantage of it to improve students' self-efficacy therebymaking the students commit to learning outside of the classroom [6], [7], [10]. It was found in anengineering course that final grades were higher for students who took self-assessmentscompared to those that didn’t [11]. As a result, Baisley [11] argued that self-assessment eitherimproves the performance of students or that high-performing students are more likely to takeself

Conference Session

Problem- and Project-Based Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Micah Lande, South Dakota School of Mines and Technology

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Diversity

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Educational Research and Methods Division (ERM)

their way through these learning experiences too, issomething that provides, in the face of ambiguity, to create agency and build self-directedlearners: “Yeah, so I think there are there are course aspects and there's general, general thought process that come through. So, one of the big themes … is self-efficacy. Given a problem, figure out how to solve it. Right. It’s open ended. Is that right? You may not be the technical expert. You may not be even aware of the background, but it's on you to figure it out. And you can do it right. You don't you don't need to be an expert to solve a problem. This whole project-based learning thing, sort of coupling design thinking leads to this increase in self

Conference Session

Student Experiences and Development – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Qin Liu, University of Toronto; Greg Evans P.Eng., University of Toronto; Yunze Wei, University of Toronto; Milad Moghaddas, University of Toronto; Kashish Mistry, University of Toronto, Faculty of Applied Science and Engineering; Tamara Kecman, University of Toronto

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Educational Research and Methods Division (ERM)

, self-efficacy in problem solving, academic performance, and knowledge retention as indicators oflearning effectiveness.Some students also used achieved outcomes to gauge their learning effectiveness. The outcomesidentified by focus group participants included enhanced conceptual understanding (ST11),increased confidence in problem solving (ST9), better grades (ST11, ST12) and betterknowledge retention (ST10), particularly after some time (ST12). The three student responsesalso illustrated the importance they placed on understanding the course structure (ST9) and theconnections among topics (ST9, ST10). It was also a math-based course, but the whole course was structured around problems. We started the class every day with a problem

Conference Session

Exploration of Written and Team Communication

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kristin L. Schaefer P.E., UH; Jorge Rosales; Jerrod A. Henderson, University of Houston

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Diversity

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Educational Research and Methods Division (ERM)

presence of the words, rather than the same % as the standarddictionary. This still gives a measure of relative usage when comparing across papers.Refer to Table 8 for our custom dimension findings related to the following discussion. Allpapers used generic study jargon (e.g., data, research, etc.). While all papers used somedemographic jargon, they primarily communicated age, race, and sex dimensions ofdemographics rather than meaningfully discussing location or socioeconomic status. EnEdJargon was unsurprisingly the highest category for most papers [17]–[19], [22]. Besides thegeneric eID Jargon, these papers tended to focus on the identity dimensions of attitude,intersectionality, and mentors rather than self-efficacy or competence. Besides the

Conference Session

Self-Regulation and Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

Gabriel Astudillo, Pontificia Universidad Católica de Chile; Isabel Hilliger P.E., Pontificia Universidad Catholica de Chile; Jorge Baier, Pontificia Universidad Catholica de Chile; Sofía Helena María Olmedo Saavedra, Pontificia Universidad Catholica de Chile

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Educational Research and Methods Division (ERM)

other underrepresented groups in engineering degrees, whoexperience more difficulties to feel welcome in college settings as future engineers [4].Prior work has shown that several factors can influence an individual’s well-being and mentalhealth, including social factors, motivation, and academic discipline, among others [1]. Otherconcepts that have been explored are self-sufficiency, sense of belonging, and social self-efficacy[1]. Studies have also examined the relationships among self-reported stress, anxiety, anddepression; engineering identity; and perceptions of inclusion of undergraduate engineeringstudents [3].In this context, it has become critical to determine the predictive factors of student well-beingand how well-being affects

Conference Session

Disciplinary Engineering Education Research – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

G. R. Marvez, Tufts University Center for Engineering Education and Outreach; Greses Perez, Tufts University

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Diversity

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Educational Research and Methods Division (ERM)

reflect students’ lived experiences?RQ2: How can serious games like Next Stop provide an opportunity for students to experiencecomplex transportation engineering and urban design collaborative problem solving?RQ3: What is the role of playful experiences in engaging students into difficult conversationsabout complex engineering problems that affect their communities?We intend to conduct interviews with bilingual students about their experiences with the gameand how they identify as an engineer through self-efficacy STEM student measures [28]. Thesedata sources will help us explore the ways that games can shift students into the mindset of anengineer and how best to meet the educational materials needs of multilingual students. We willalso video

Conference Session

Student Teams and Teamwork

Collection

2023 ASEE Annual Conference & Exposition

Authors

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

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Diversity

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Educational Research and Methods Division (ERM)

between team dynamics. The findings in this study also have limitations at the team forming stage. While UDO scoreswere used a criteria in different ways, it wasn’t the only criteria for team forming. Traditionalcriteria used in the course were given priority and UDO was used as a last criteria in formingteams. This could have significant implications to the interpretation of findings. A trulyexperimental setup was not feasible for a course offered at such a large scale. Furthermore, teameffectiveness can also vary with different factors in the course such as different instructors, priorexperience of students with teamwork, self-efficacy in course content, personality difference, andteam player disposition. These confounding factors need to be

Conference Session

Instrument Design and Development

Collection

2023 ASEE Annual Conference & Exposition

Authors

Madalyn Wilson-Fetrow, University of New Mexico; Vanessa Svihla, University of New Mexico; Andrew Olewnik, University at Buffalo, The State University of New York

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Diversity

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Educational Research and Methods Division (ERM)

previous EFA,indicating that the Framing Agency Survey provides data that are valid for uses like instructionalrefinement and further studies into the role that framing agency plays in the professionalformation of engineers. However, such studies will require a larger dataset, as well as analysisexamining the structure of the survey that includes measures of relevant constructs, such asengineering identity, engineering self-efficacy, and persistence intentions. Our ongoing researchaims to develop full structural models that include demographic covariates to permitinvestigation of varied impacts on privileged and minoritized students.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.1751369

Conference Session

Student Assessments and Tests

Collection

2023 ASEE Annual Conference & Exposition

Authors

Chinedu Alexander Emeka; Craig Zilles, University of Illinois at Urbana-Champaign; Matthew West, University of Illinois at Urbana-Champaign; Geoffrey L. Herman, University of Illinois at Urbana-Champaign; Timothy Bretl, University of Illinois at Urbana-Champaign

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Educational Research and Methods Division (ERM)

, “The development and validation of a new multidimensional test anxiety scale (mtas),” European Journal of Psychological Assessment, 2020.[23] R. Driscoll, “Westside test anxiety scale validation.” Online submission, 2007.[24] J. Taylor and F. P. Deane, “Development of a short form of the test anxiety inventory (tai),” The Journal of General Psychology, vol. 129, no. 2, pp. 127–136, 2002.[25] C. D. Spielberger, “Manual for the state-trait anxietry, inventory,” Consulting Psychologist, 1970.[26] E. S. Cerino, “Relationships between academic motivation, self-efficacy, and academic procrastination.” Psi Chi Journal of Psychological Research, vol. 19, no. 4, 2014.[27] P. Steel, “The nature of procrastination: a meta-analytic and

Conference Session

Pedagogy and Instructional Practices

Collection

2023 ASEE Annual Conference & Exposition

Authors

Rohini N. Abhyankar, Penn State University, State College; Sarah E. Zappe, Penn State University; Stephanie Cutler, Penn State University

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Educational Research and Methods Division (ERM)

disciplines, CBE—Life Sciences Education, 19(3), ar46, 2020.[18] C. S. Dweck, “Mindset: The new psychology of success,” Random House, 2006.[19] R. W. Hass, J. Katz-Buonincontro, and R. Reiter-Palmon, “Disentangling creative mindsets from creative self- efficacy and creative identity: Do people hold fixed and growth theories of creativity?” Psychology of Aesthetics, Creativity, and the Arts, 10(4), 436, 2016.[20] K. Schumann, J. Zaki, and C.S. Dweck, “Addressing the empathy deficit: beliefs about the malleability of empathy predict effortful responses when empathy is challenging,” Journal of Personality and social psychology, 107(3), 475, 2014.[21] Q. Cutts, E. Cutts, S. Draper, P. O'Donnell, and P. Saffrey

Conference Session

Virtual Training, Online and Open Education; Instructional Technology

Collection

2023 ASEE Annual Conference & Exposition

Authors

Behlul Kula, Michigan State University; Andreana Louise Roxas; Kristen Sara Cetin P.E., Michigan State University; Annick Anctil; George Berghorn, Michigan State University; Ryan Patrick Gallagher

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Educational Research and Methods Division (ERM)

. Ahmad, "Learning styles and critical thinking skills of engineering students," in 2017 IEEE 9th International Conference on Engineering Education (ICEED), 2017.[5] E. E. Miskioğlu and D. W. Wood, "That's not my style: Understanding the correlation of learning style preferences, self-efficacy, and student performance in an introductory chemical engineering course," in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, 2014.[6] R. J. Kapadia, "Teaching and learning styles in engineering education," in 2008 38th Annual Frontiers in Education Conference, 2008.[7] D. Rohrer and H. Pashler, "Learning Styles: Where's the Evidence?.," Online Submission, vol. 46, p. 634–635, 2012.[8] J

Conference Session

Work-in-Progress Session: Understanding Issues Faced by Graduate Students and Faculty

Collection

2023 ASEE Annual Conference & Exposition

Authors

Eduardo Rodriguez Mejia, Rowan University; Cheryl A. Bodnar, Rowan University

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Educational Research and Methods Division (ERM)

resources must be invested while doing the task)[12].Viewing doctoral attrition through the lens of EVT allows us to map graduate students’ concernswith each one of the STVs. For instance, the connection between a sense of belonging and self-efficacy can be observed in the attainment STV. Additionally, doctoral students need to bewilling to persist to engage in tasks and spend time and effort, two traits that map with theintrinsic and the cost STV [6]. Finally, the role of peers and faculty relationships as part of thestudent’s daily life (i.e. socialization) during their doctoral degree process, can be linked withintrinsic, attainment, and utility [1].Expectancy Value Theory and Engineering EducationIn a review of the application of EVT within