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

Tagged Divisions

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

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sarah Lynn Ferguson, Rowan University; Christopher J Winkler, Rowan University; Kara P. Ieva; Marjorie Blicharz, Rowan University; Theresa E. Cann; Ashley Elmes

Tagged Topics

NSF Grantees Poster Session

), Salvadorian (onestudent), and Mixed (one student). Additionally, 17% of respondents noted they were of Hispanicor Latino origin or descent. Of the total sample, 52% identified as Male, 45% identified asFemale, and 2% as Non-Binary, with 1 student preferring to not identify their gender for thestudy.A. Data Collection Data collection for the study took place at two points in time, pre and post intervention.Pre-intervention data collection included a student demographic survey recording studentrace/ethnicity, gender, etc. Measures of science interest (Science Motivation Questionnaire II;[18]), career decision self-efficacy (Career Decision-Making and Self-Efficacy Brief Decisionalscale; [15]), and knowledge of engineering technician careers

Conference Session

Cooperative and Experiential Education Division (CEED) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Martell Bell, The University of Iowa; Rachel Vitali, The University of Iowa; Jae-eun Russell

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

incourses related to the AIMS certificate programs. Project-based activities such as AIMS-relatedworkshops offered by the university will be assessed to measure learning outcomes associatedwith engineering self-efficacy, judgment, and leadership skills.Engineering self-efficacy (ESE) is an individual’s belief in their capability to act in the waysnecessary to reach specific goals. Judgment about one’s abilities can influence behavior and goalattainment. We hypothesize that the groups’ self-guidance during the hackathon will improvetheir ESE related to applying AIMS concepts. Next, engineering judgment (EJ) is an individual’sability to make and justify decisions and predict the resulting consequences. EJ is developed inparallel with engineering

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Buket D Barkana, University of Bridgeport; Ioana A. Badara, University of Bridgeport; Navarun Gupta, University of Bridgeport; Junling Hu, University of Bridgeport; Ausit Mahmood, University of Bridgeport

Tagged Topics

Diversity

theiracademic growth and development in science-related fields and a transformation of identity from student toprofessional, thereby promoting field-specific self-efficacy [9,10]. To date, undergraduate students were invited tocomplete the engineering design self-efficacy (EDSE) instrument to evaluate their engineering self-efficacy levels.The EDSE instrument will be used again at the end of the academic year to monitor students' engineering self-efficacychanges during their course participation. This 36-item questionnaire has been designed to measure students' self-concepts toward engineering design tasks [20]. It assesses four areas related to engineering identity development: self-efficacy, motivation, expectancy, and anxiety. Our students showed

Conference Session

Student Division (STDT) Technical Session 5: Motivation and Support for Success

Collection

2023 ASEE Annual Conference & Exposition

Authors

D'Andre Jermaine Wilson-Ihejirika, University of Toronto, Canada; Qin Liu, University of Toronto, Canada; Joanna Meihui Li, University of Toronto, Canada; Mustafa Nisar, University of Toronto, Canada; Jiawen Lin, University of Toronto, Canada

Tagged Topics

Diversity

Tagged Divisions

Student Division (STDT)

SystemsTheory recognizes that variation in individuals’ development “exists across time within contexts,and across contexts within time;” as a result, “differences in time and place constitute vitalcontributors to plasticity across the life span” [13]. Given the variations by time and place, weexpect a diverse range of pathways of individuals who are on their way to the engineeringprofession.The Social Cognitive Career Theory (SCCT) [14] posits that one’s learning experiences caninfluence their self-efficacy and outcome expectations, which in turn influences their interests,goals and, ultimately, career choice actions; these learning experiences are affected by personinputs (such as predispositions, gender and race) and contextual affordances (such as

Conference Session

Engineering Management Division (EMD) Tech Session 2: Course-level strategies to positively impact student learning and experiences

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jonathan Eckhardt, University of Wisconsin - Madison; Minah Park, University of Wisconsin-Madison; Molly Carnes; Jennifer Sheridan, University of Wisconsin - Madison; Markus Brauer, University of Wisconsin - Madison; Brent Goldfarb; Subrahmaniam Tangirala, University of Maryland, College Park

Tagged Topics

Diversity

Tagged Divisions

Engineering Management Division (EMD)

-efficacy by asking four items on a 5-point scale (1= notconfident at all; 5=completely confident): “how confident are you in your ability to engage in thefollowing activities related to being an entrepreneur or an individual who starts a company, eitheralone or with others? 1) successfully identify new business opportunities, 2) create new products,3) think creatively, and 4) start a business with a new idea. The items were averaged to calculatethe entrepreneurial self-efficacy variable.Entrepreneurial identity aspirations We asked six items to assess the entrepreneurial identity aspirations measure on a 5-pointscale (1 = strongly disagree; 5 = strongly agree): “I think I can become an entrepreneur,” “I cansee myself as an entrepreneur

Collection

2023 Rocky Mountain Section Conference

Authors

Angela Bielefeldt; Joan Tisdale; Katherine Ramos; Mike Soltys

areprivileged in different admissions models [2]. Overall, there is a need to better understand andsupport students coming into engineering from different admissions pathways.Previous research has found that self-efficacy, identity, belonging, and interest are importantattitudes that impact student recruitment and retention in engineering [5]. Self-efficacy describesthe extent to which a person feels confident and/or capable of particular tasks. Self-efficacy hasbeen shown to be influenced by past experiences of accomplishment and failure, and inparticular mastery experiences [6]. A student’s self-efficacy regarding engineering andengineering-related knowledge and skills are relevant to this context. Engineering identity is theextent to which a person

Conference Session

Design in Engineering Education Division (DEED) Technical Session 12

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shruti Misra, University of Washington; Denise Wilson, University of Washington; Soyoung Kang, University of Washington

Tagged Divisions

Design in Engineering Education Division (DEED)

practices focused on team- and project-based learning. ©American Society for Engineering Education, 2023 Student perspectives on engineering design, decision-making, adaptability, and support in capstone designAbstractThis study analyzed how students’ sense of support from industry mentors and teammates in acapstone design course was related to their perceived learning regarding engineering design andadaptability when controlling for design self-efficacy and preparedness. An end-of-course surveyprovided the data for this study and included Likert-type items to measure these six factors aswell as open-ended questions regarding students’ experience in capstone design. An explanatory

Conference Session

First-Year Programs Division (FYP) - WIPS 3: Identity & Belonging

Collection

2023 ASEE Annual Conference & Exposition

Authors

Lizandra C. Godwin, University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FYP)

national Ph.D. programs.The scope of this work is to develop a baseline of the data within a single Hispanic servinginstitution. The analysis completed to this point validates the survey instrument in measuring theidentified constructs. This validation is necessary so that this study may be expanded to a largersurvey population.Research QuestionsThis research investigates several factors that are believed to impact the identity of engineeringstudents as researchers. We seek to assess the role of research self- efficacy, researcher identity,and cultural compatibility on research persistence intentions. These variables were selected asthey have been determined to be relevant factors in prior identity studies [16], [29]–[35].Students that self

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Paul Marlowe; Stephen T. Frezza, Franciscan University of Steubenville; Joanne Storm Gallagher, Franciscan University of Steubenville; Marita Anne O'Brien, Franciscan University of Steubenville; Sabrina J. Bierstetel, Franciscan University of Steubenville

Tagged Divisions

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)

(e.g., ARS-30) tend to measure resilience as aprocess by which persons overcome adversity. However, resilience also enables studentsto achieve their goals and improve their learning outcomes. Factors indicative of thisprocess, such as self-efficacy, adaptive coping, exploration, and willingness to changelearning approaches when needed, are not measured in the ARS-30 or other currentresilience scales. The proposed Values Resilience Scale (VRI) under study measuresresilience as a process that enables one to overcome academic adversity so as to achieveone’s fullest academic potential. Such a measure would allow educators to identifystudents who may be hindered from reaching their utmost potential through their lack ofacademic resilience, and help

Conference Session

Faculty Development Division (FDD) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Rachel Ziminski, University of Massachusetts Lowell; Yanfen Li, University of Massachusetts Lowell

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division (FDD)

barriers facultyexperience in providing encouragement to students. Additionally, the creation and validation of atool to measure faculty perceptions of providing encouragement can be used by institutions toidentify critical areas to strengthen how we teach in engineering.Guiding FrameworkAn extensive literature review showed the Academic Encouragement Scale (AES) and theFaculty Encouragement Scale (FES) as the best instruments to guide this research [20, 21]. Bothmeasure students’ perceptions of receiving encouragement in academic settings. Findings fromboth studies indicate that receiving encouragement increases students’ self-efficacy and outcomeexpectations.The Social Cognitive Career Theory (SCCT) guided the development of the survey

Conference Session

Student Division (STDT) Technical Session 2: Student Success and Resources

Collection

2023 ASEE Annual Conference & Exposition

Authors

Katherine Drinkwater, Duke University; Karis Boyd-Sinkler, Duke University; Rebecca Simmons, Duke University

Tagged Divisions

Student Division (STDT)

institution in theSoutheast United States. Given the exploratory nature of the study, a novel survey tool wascreated that focused on: residual time, club participation, design skills before and after clubparticipation, design self-efficacy, and demographic information, see Appendix A. This researchstudy was approved by the IRB at Duke University (protocol #2023-0178). 1) Survey DesignFor the purpose of transparency, we defined engineering clubs as a subset of clubs whosemembership is primarily engineers, the subject matter is technical, and/or they are a pre-professional organization for engineers. The engineering school at Duke University gives clubsthis designation. We divide engineering clubs into three categories: competition design teams

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jan Edwards, College of Lake County; Ana Karen Pizano, College of Lake County; Bradford C. Petersen, College of Lake County

Tagged Topics

NSF Grantees Poster Session

psychosocial construct values forFeelings of Inclusion, Coping Self-Efficacy, and Belonging Relative to Community are nearlyidentical (standard deviation of .04 or less) from spring of 2020 through spring of 2022. The labfocused skill efficacy for Design and Experimental skills, also maintained steady average valueswith a standard deviation of .04 or less. These values imply, that for the students who completedthe survey, the sudden switch to a virtual format was successful in supporting these constructs.Table 2. Constructs measured in surveys to date Construct Average value of mean per semester (S.D

Conference Session

Engineering and Engineering Technology Transfer and the Two-Year College Student Part 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Doris J. Espiritu, City Colleges of Chicago-Wilbur Wright College; Ruzica Todorovic, City Colleges of Chicago-Wilbur Wright College; Bridget O'Connell, City Colleges of Chicago-Wilbur Wright College

Tagged Topics

Diversity

Tagged Divisions

Two-Year College Division (TYCD)

attended the Bridge remotely, still found the experiencetransformational. In a case study interview conducted by Ruxton Consulting, one student attributedtheir success to the Bridge saying, “I really think I wouldn't be here. I wouldn't be studyingengineering without the creation of the Bridge program.” (Ruxton Consulting Evaluation Reportpresented to the PI, 2022).Students also reflected on how their effort, within the structure of the Bridge, contributed to theirimproved self-efficacy in math. As one student shared, “It's not a test of your finances, or yourbrains. It's a test of how hard you can work, and I think that's a great factor to measure someoneby.” Another student acknowledged how much work was ultimately needed in order to be readyfor

Conference Session

Graduate Studies Division (GSD) Technical Session 7: Developing Graduate Students' Competencies and Identities

Collection

2023 ASEE Annual Conference & Exposition

Authors

Julie M. Rieland, University of Michigan; Shamalee Goonetilleke, University of Michigan; Sarah Jane Bork, University of Michigan; Aaron W. Johnson, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies Division (GSD)

structured interviewdata collected through an extracurricular student project. We investigated three key aspects ofgraduate school, particularly experiences with 1) work-life-balance, 2) imposter syndrome, and3) burnout. To develop the survey and interview instruments, we developed a pool of memes andgraduate student oriented advice columns then used thematic analysis to identify 9 thematicquestions about the graduate student experience. For this work, the data set was abbreviated toconsider only the 3 most salient topics. We found that students generally disagreed with thenegative themes identified and that memes tended to exaggerate these features of graduatestudent experience. However, emergent themes of self-efficacy in our analysis demonstrated

Conference Session

Civil Engineering Division (CIVIL) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Bettina Jeanine Casad, University of Missouri, St. Louis; Monica Palomo, P.E., California State Polytechnic University, Pomona; Erika Robb Larkins; Natalie Mladenov; Matthew E. Verbyla, San Diego State University

Tagged Divisions

Civil Engineering Division (CIVIL)

(survey questionnaires) were collectedsimultaneously, and the analysis of those data was completed separately.Participants completed pre-test and post-test surveys. The pre-test survey, completedprior to their departure to Brazil, was a 30 minute online instrument that used a five-pointrating scale to evaluate baseline values of the measures studied: (1) research self-efficacy; (2) research skills; (3) knowledge of water management issues; (4) attitudestoward technology and sustainable development; (5) global competency and interculturalknowledge, attitudes, skills, and awareness; (6) teamwork skills; (7) perceptions ofenvironmental engineering community relevance; (8) attitudes toward interdisciplinaryresearch; and (9) behavioral intentions for

Conference Session

Mathematics Division (MATH) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hui Ma, University of Virginia

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

and measure their course preparedness. Welch's t-test was also used to determineif there was any difference in the students' performance on the common final exam.For the test anxiety Likert questions, a score ranging from 5 to 20 was obtained by summing thescores for all five questions, with 1=almost never and 4=almost always. Paired t-tests wereperformed for both grading methods to identify any changes over the semester after taking thecourse. In the case of the self-efficacy questions, scores for each category (e.g. masteryexperience, vicarious experience, social persuasion, and physiological state) were averaged afterbeing set on a scale of 1=definitely false to 6=definitely true. Paired t-tests were performed forboth grading methods to

Conference Session

Women in Engineering Division (WIED) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Grace J. Liang; Rick Evans, Cornell University; Mojdeh Asadollahipajouh; Stacey E. Kulesza, P.E., Kansas State University; Anna Glushko Evans, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

. 1997, New York: W.H. Freeman and Company.15. Kolar, H., A.R. Carberry, and A. Amresh. Measuring computing self-efficacy. in 2013 ASEE Annual Conference & Exposition. 2013.16. Carberry, A., M. Ohland, and H.S. Lee. Developing an instrument to measure engineering design self-efficacy: A pilot study. in ASEE Annual Conference and Exposition, Conference Proceedings. 2009.17. Yildirim, T., M. Besterfield-Sacre, and L. Shuman. Scale development for engineering modeling self efficacy. in 2010 Annual Conference & Exposition. 2010.18. Baker, D., S. Krause, and S. Purzer. Developing an instrument to measure tinkering and technical self efficacy in engineering. in 2008 Annual Conference &

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Lea K. Marlor, University of Michigan; Cynthia J. Finelli, University of Michigan; Michael J. Prince, Bucknell University; Jenefer Husman, University of Oregon; Matthew Charles Graham; Ariel Chasen, University of Texas, Austin

Tagged Topics

NSF Grantees Poster Session

active learning activities. Finally, they were asked about the barriers that theyfaced when trying to implement active learning in their classrooms. Instructor and student surveys were aligned so that we could learn how student andinstructor perceptions are comparable for each individual class. The student survey asked abouttheir instructor’s use of active learning and if their instructor used different strategies forimplementing active learning. Additionally, we measured the student response to active learningincluding their affective and behavioral responses. Finally, we asked questions about theirfeelings of belongingness in their STEM classes as well as their self-efficacy in these courses.Preliminary Findings To understand

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

Tagged Divisions

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

Biomedical Engineering Division (BED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Loay Al-Zube, University of Mount Union; Sara Dorris, University of Mount Union

Tagged Divisions

Biomedical Engineering Division (BED)

Experience: A large design oriented clinical immersion course based in emergency departments. 2016.13. Carberry, A. R. and Lee, H., Measuring Engineering Design Self-Efficacy. Journal of Engineering Education, 2010. 99(1) :71-79.14. Aultman Website “Student Experiences” [Online]. Available:https://aultman.org/education/students-at-aultman-hospital/#/ [Accessed April 14, 2023].15. Aultman Website “Healthcare Observations” [Online].Available:https://aultman.org/education/students-at-aultman-hospital/ah-job-observation-2/#/[Accessed April 14, 2023].16. Infobase Website [Online]. Available https://infobase.com/ [Accessed April 14, 2023].Appendix I: Career Aspiration QuestionnaireSurvey/Questionnaire No

Conference Session

Pre-College Engineering Education Division (PCEE) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tamecia R. Jones, North Carolina State University at Raleigh; Leah Bug, North Carolina State University at Raleigh

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

identities, epistemologies and values. Volume 2 : engineering education and practice in context. Cham, Switzerland ; Heidelberg, Germany : Springer International Publishing, 2015.[29] Y.-h. Liu, S.-j. Lou, and R.-c. Shih, "The investigation of STEM self-efficacy and professional commitment to engineering among female high school students," South African Journal of Education, vol. 34, no. 2, pp. 1-15, 2014.[30] D. Kiran and S. Sungur, "Middle School Students' Science Self-Efficacy and Its Sources: Examination of Gender Difference," Journal of Science Education and Technology, vol. 21, no. 5, pp. 619-630, 2012, doi: 10.1007/s.[31] T. P. Robinson, "THE DEVELOPMENT OF AN INSTRUMENT TO MEASURE THE SELF

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mary E. Lockhart, Texas A&M University; Noor Hakim; Vainavi Chilukuri, Texas A&M University; Jason Champagne; Karen E. Rambo-Hernandez, Texas A&M University; Robin A.M. Hensel, West Virginia University

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

investigated. Demographic information for thetotal analytic sample is as follows: 76% self-identified as men, 95% White, 50% were onEngineering Track 1, 30% were on Engineering Track 2, and 20% were on Engineering Track 3.Measures Engineering Self-Efficacy. Students’ confidence in their ability to complete necessarysteps for obtaining their engineering degree was measured using a three-item instrumentdeveloped by Lent and colleagues [45]. The items were rated on a 5-point Likert scale (1-noconfidence to 5-complete confidence) where participants indicated their level of confidence intheir ability to complete each step necessary to obtain their engineering degree. Engineeringself-efficacy scale scores were derived as the average of all items

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Alexis Ortiz-Rosario, The Ohio State University

Tagged Divisions

Biomedical Engineering Division (BED)

unique. This restructuring would also allow students to work in an industry-like environment where teams have specific tasks and communication is critical. The particularuse case presented in this paper is to create a remote-sensing application for vital signmonitoring. Some details will not be included to avoid IP infringement with the sponsor of thisproject.The assessment plan is to evaluate if this new team structure improves learning outcomescompared to a traditional team. The two outcomes being compared in this study are ABETstudent outcome 3 and 5 by measuring student's communication and self-efficacy relative toother team structures (e.g. other capstone section). ABET 3 (Communication) relates to theability to communicate effectively with

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jayma Koval, Georgia Institute of Technology; Diley Hernandez, Georgia Institute of Technology; Tom McKlin; Douglas Edwards, Georgia Institute of Technology; Rafael A. Arce-Nazario; Joseph Carroll-Miranda; Isaris Rebeca Quinones Perez, University of Puerto Rico, Rio Piedras; Lilliana Marrero-Solis; Jason Freeman, Georgia Institute of Technology; Taneisha Lee Brown; Pascua Padro; Stephen Garrett; Analia E. Rao; Marion Usselman, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

] and measured to what extent students felt included,valued and respected. We used this scale with the purpose of exploring students’ sense ofbelongingness, specifically in CS, and modified the items to include “in computing.” Adefinition of computing was also included, “Computing is defined as doing things like making anapp, coding, fixing a computer or mobile device, creating games, making digital music, etc.”Sample questions then asked students to indicate the extent to which they agreed with statementssuch as, “I feel comfortable in computing” and “Compared with most other students at myschool, I know how to do well in computing.”Self-Efficacy: Self-efficacy captures students’ beliefs that they can accomplish designated tasks[38] related to

Collection

ASEE Zone 1 Conference - Spring 2023

Authors

Zhiqing Lu; Herschel Pangborn; Katie Fitzsimons

-cost components. Table shows all components in thefinal kit. Comparing with the existing kits, we reduce the modified kit cost about 30% (a reductionof approximately $70USD), and the consolidation reduced the shipping cost by two-thirds.AssessmentTo assess the impact of cross-curricular use of an electronics kit on Mechanical Engineeringstudents. We developed a 6-point Likert Scale pre and post survey based on measures developedby Mamaril et al [20] to evaluate students’ self-efficacy in prototyping, coding, and engineeringskills. The complete pre and post surveys are in Appendix 3 and 4, respectively. The collecteddata is treated as ordinal data, and a Wilcoxon signed rank test is used to analyze paired data. Thecorrelation between students

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Stephanie Jill Lunn, Florida International University; Veon Brewster, Florida International University

Tagged Divisions

Computers in Education Division (COED)

job seekers. The system, called VirtualInterview (VI)-Ready, offers an immersive role-play of interview scenarios with 3D virtual agentsserving as hiring managers. We applied Bandura’s concept of self-efficacy as we investigated: 1)overall impressions of the system; 2) the impact on students’ job interview preparedness; and 3)how internal perceptions of interview performance may differ from external evaluations by hiringmanagers. In our study, we employed a convergent parallel mixed methods approach.Undergraduate and graduate students (n = 20) underwent virtual job interviews using theplatform, each interacting with one of two different agents (10 were randomly assigned to each).Their interactions were video recorded. Participants then

Conference Session

Design in Engineering Education Division (DEED) Technical Session 7

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sonia Travaglini, Stanford University; Sheri D. Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

Design in Engineering Education Division (DEED)

communities of practice. This case study was completed as part of courseevaluation and feedback processes, in order to identify improvements to how the course kits andtools were implemented and supported. All processes were completed under the supervision andwith the approval of the course instructors. The survey questions, shown in Appendix 1 in Table2, included open-ended questions to explore students’ feedback on the benefits of kits and theirvalue in supporting their learning, and any barriers they experienced in using them. Questionswith Likert scale rating for students to rate an item on a 1-to-5 scale [12], were used fordetermining level of student engagement and measuring students’ self-efficacy in developingdesign, experimentation, analysis

Conference Session

First-Year Programs Division (FYP) - Technical Session 5: Supporting Success 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Pamela Bilo Thomas, University of Louisville; Campbell R. Bego, University of Louisville; Arinan De Piemonte Dourado, University of Louisville

Tagged Divisions

First-Year Programs Division (FYP)

of studying engineering, self-efficacy, and contingencies of Academic Competence, Academic Competence subscale. Example items and references for each of these scales are provided in Table 1, and 5. Retention, defined as enrollment in the engineering school in the fall of the second year.AnalysisTwo machine learning techniques were investigated in this work: a neural network and a decisiontree. A neural network works to learn patterns via an iterative process of trial and error to classifydata into categorical outputs [11], and the results are black box (it is not possible to tell why aclassification was made without the aid of explainable methods). For the neural network analysis, Table 1: EVT

Conference Session

NSF Grantees Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Andrea Ramirez-Salgado, University of Florida; Tanvir Hossain; Tamzidul Hoque; Swarup Bhunia, University of Florida; Mary Jo Koroly; Bradford Davey; Pavlo Antonenko, University of Florida

Tagged Topics

NSF Grantees Poster Session

for the games included in the curriculum. Figure 1. Example of the hardware settingTheoretical FrameworkWe developed a conceptual framework for the PICABOO hardware curriculum that reflected ourteam’s shared vision for the structure and the outcomes of our curriculum. Specifically, we aimto promote engineering identity and persistence by gamifying the learning experience to fostersituational interest [7] and to support students’ self-efficacy for engineering [8]. Additionally,educators' self-efficacy also influences their confidence in teaching hardware concepts [9]. Therelationships between these theoretical foundations are illustrated in Fig. 2 and are incorporatedinto the design and development of the modules