Conference Session

Engineering Design Graphics Division (EDGD) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Katrina Carlson, Michigan Technological University; Michelle E. Jarvie-Eggart, Michigan Technological University; Kyla Richardson, Michigan Technological University

Tagged Divisions

Engineering Design Graphics Division (EDGD)

pastexperience, observation, persuasion, and emotion. A link exists between self-efficacy, academic achievement, andthe ability to overcome phobias. Experiences like successes and failures, specific feedback, and scaffolded learningexperiences may increase or decrease self-efficacy in a particular skill set, which can change outcome expectations,motivation, and future goals [11].Spatial visualization has been defined in many different ways. This work utilizes Bodner and Guay’s [12] definitionof “spatial orientation factor as a measure of the ability to remain unconfused by changes in the orientation of visualstimuli,” and states, “The spatial visualization factor measures the ability to mentally restructure or manipulate thecomponents of the visual

Conference Session

Cooperative and Experiential Education Division (CEED) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kimberly LeChasseur, Worcester Polytechnic Institute; Fiona Levey, Worcester Polytechnic Institute; Ahmet Can Sabuncu, Worcester Polytechnic Institute; Alireza Ebadi, Worcester Polytechnic Institute; John McNeill, Worcester Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

sustained critical investigation; and develop ideas.4.2.3 Self-efficacyFive survey items using the same prompt were used to create a composite score measuring self-efficacy. These items included: feelings that your ideas are valuable, feelings that you could“make a difference,” ability to take responsibility for your own learning; ability to succeed inbusiness or industry, and ability to function effectively in the “real world.”4.2.4 Career PreparednessSurvey respondents were asked, “How well did your project experience at WPI prepare you foryour current career?” Response options were a five-point bi-directional Likert scale from verypoorly (1) to very well (5), with an option to indicate “not applicable” if the respondent was notworking.4.2.5

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Azadeh Bolhari, University of Colorado Boulder; Angela R Bielefeldt P.E., University of Colorado Boulder

Tagged Topics

Diversity, NSF Grantees Poster Session

, “Measuring entrepreneurial self-efficacy to understand the impact of creative activities for learning innovation,” Intl J Mgmt Educ, 12, pp. 456-468, 2014.[9] J.H. Dyer, H. B. Gregersen, and C.M. Christensen, “Entrepreneur Behaviors, Opportunity Recognition, and the Origins of Innovative Ventures,” Strateg. Entrepreneurship J, 2 (4): pp. 317–38, 2008.[10] G. Balau, D. Faems, J. van der Bij, “Individual characteristics and their influence on innovation: A literature review,” Proceedings of the 9th International Conference on Innovation and Management, Nov. 14-16, Eindhoven, The Netherlands. Eds. G. Duysters, A. de Hoyos, K. Kaminishi, Wuhan University Press, pp. 887-901, 2012.[11] A. Bolhari, & S. Tillema

Conference Session

DSA Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Safia Malallah, Kansas State University; Ejiro U Osiobe, Baker University; Zahraa Marafie, Kuwait University; Patricia Henriquez-Coronel; Lior Shamir, Kansas State University; Ella Lucille Carlson, Kansas State University; Joshua Levi Weese, Kansas State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

Paper ID #44344Developing an Instrument for Assessing Self-Efficacy Confidence in Data ScienceDr. Safia Malallah, Kansas State University Safia Malallah is a postdoc in the computer science department at Kansas State University working with Vision and Data science projects. She has ten years of experience as a computer analyst and graphic designer. Besides, she’s passionate about developing curriculums for teaching coding, data science, AI, and engineering to young children by modeling playground environments. She tries to expand her experience by facilitating and volunteering for many STEM workshops.Dr. Ejiro U Osiobe

Conference Session

First-Year Programs Division Technical Session 5: Identity & Belonging

Collection

2024 ASEE Annual Conference & Exposition

Authors

Javeed Kittur, University of Oklahoma; Moses Olayemi, University of Oklahoma; Tierney Harvey, University of Oklahoma; Haley Taffe, University of Oklahoma

Tagged Divisions

First-Year Programs Division (FYP)

), we focus on the potential of leveraging the CPPs as a way to increase students’ self-efficacy, persistence within engineering, and sense of belonging. This study addresses thefollowing research question, “What factors influence first-year engineering students’ perceptionsof their engineering self-efficacy, design self-efficacy, intentions to persist, and sense of belongingthrough the application of community-partnered projects?”Methods1. Development of the Survey InstrumentThe survey instrument was developed during the fall of 2023 by an undergraduate student andthree faculty members. The instrument included a total of six scales (please refer Table 1). Thesurvey instrument measures the perceptions of first-year engineering students

Conference Session

Student Division Technical Session 5: Self- Efficacy

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xinyi Ma, University of Toronto; Janet Lam, University of Toronto

Tagged Divisions

Student Division (STDT)

still suggested to apply parametric tests if both groupshave sample sizes larger than n=15 even when some test assumptions are not met [16].When data collection from the mid-term and end-of-course surveys are completed, we propose touse two-way mixed ANOVA to measure how the two groups of students’ programming attitudesand self-efficacy evolve over the semester. Ordinal logistic regression might also be conducted totake more factors that could affect attitudes and efficacy levels into account. Besides, qualitativeanalysis will also be performed on the courses they have taken and the courses they think thathave prepared them for the lab activities to provide additional information on the findings.ResultsAccording to the survey data, previous

Conference Session

Student Division Technical Session 5: Self- Efficacy

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jeffrey Luke Morrison, University of South Florida; Chris S Ferekides, University of South Florida; Dhinesh Balaji Radhakrishnan, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Student Division (STDT)

Paper ID #44125Examining Imposter Syndrome and Self-Efficacy Among Electrical EngineeringStudents and Changes Resulting After Engagement in Department’s RevolutionaryInterventionsMr. Jeffrey Luke Morrison, University of South Florida Jeffrey Luke Morrison is an undergraduate student pursuing his bachelors in Electrical Engineering at the University of South Florida with focuses in wireless circuits and nano-scale systems. He is an IEEE member and also a member of the USF Honor’s College. In addition to pursuing his EE degree, he is also pursuing a BS in Quantitative Economics and Econometrics.Dr. Chris S Ferekides, University

Conference Session

Student Division Technical Session 5: Self- Efficacy

Collection

2024 ASEE Annual Conference & Exposition

Authors

Karen Elizabeth Nortz, Cornell University; Allison Godwin, Cornell University; Linda DeAngelo, University of Pittsburgh; Danielle V. Lewis; Kevin Jay Kaufman-Ortiz, Purdue University; Charlie Díaz, University of Pittsburgh; Carlie Laton Cooper, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Student Division (STDT)

Their Own Words: How Aspects of Engineering Education Undermine Students’ Mental Health,” in 2022 ASEE Annual Conference & Exposition Proceedings, Minneapolis, MN: ASEE Conferences, Aug. 2022, p. 40378. doi: 10.18260/1-2–40378.[33] N. Mamaril, E. Usher, C. Li, D. Economy, and M. Kennedy, “Measuring Undergraduate Students’ Engineering self‐efficacy: A validation study,” J. Eng. Educ., vol. 105, no. 2, pp. 366–395, Apr. 2016, doi: 10.1002/jee.20121.[34] K. J. Jensen and K. J. Cross, “Engineering stress culture: Relationships among mental health, engineering identity, and sense of inclusion,” J. Eng. Educ., vol. 110, no. 2, pp. 371–392, Apr. 2021, doi: 10.1002/jee.20391.[35] S. Farrell, A. Godwin

Conference Session

Student Division Technical Session 5: Self- Efficacy

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Myers, Rowan University; Matthew Currey, Rowan University; Luciano Miles Miletta, Rowan University; Darby Rose Riley, Rowan University; Kaitlin Mallouk, Rowan University

Tagged Divisions

Student Division (STDT)

Paper ID #42380The Effect of Ego Network Structure on Self-efficacy in Engineering StudentsDavid Myers, Rowan UniversityMatthew Currey, Rowan UniversityLuciano Miles Miletta, Rowan UniversityDarby Rose Riley, Rowan University Darby Riley is a doctoral student of engineering education at Rowan University. She has a special interest in issues of diversity and inclusion, especially as they relate to disability and accessibility of education. Her current research is focused on the adoption of pedagogy innovations by instructors, specifically the use of reflections and application of the entrepreneurial mindset. Her previous

Conference Session

Educational Research and Methods Division (ERM) Technical Session 27

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aturika Bhatnagar, New Jersey Institute of Technology; Prateek Shekhar, New Jersey Institute of Technology; Jeffrey Stransky, New Jersey Institute of Technology

Tagged Divisions

Educational Research and Methods Division (ERM)

disparities between engineers’ practices and their micro- and macroethics. Dr. Stransky is passionate about developing innovative educational interventions that measurably enhance students’ skills and competencies. https://orcid.org/0000-0002-4247-4322 ©American Society for Engineering Education, 2024 Exploratory Factor Analysis of Students’ Entrepreneurial Self-efficacy: Implications for Survey ValidationINTRODUCTIONHuman skills can take on a variety of forms as they evolve. These various functional domainsrequire unique knowledge and abilities. Given no one can embody all knowledge and abilities,one's perceptions of their efficacy in various activity domains vary one’s efficacy belief

Conference Session

Design in Engineering Education Division (DEED) - Research Investigations in the Context of Design Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Samantha Butt, University of Toronto; Elizabeth DaMaren, University of Toronto; Alison Olechowski, University of Toronto

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

in their capabilities of using CAD software. Therefore, there iscurrently a lack of research investigating how students develop self-efficacy in relation to CADprior to their undergraduate degree.As there currently does not exist a validated scale to measure CAD self-efficacy, in this paper,we explore the related concepts of undergraduate engineering students’ initial 3D Modeling andEngineering Design self-efficacy before formal CAD instruction at the university level.Bandura’s Theory of Self-Efficacy suggests there are four main sources of self-efficacy: masteryexperiences, social persuasion, vicarious experiences and physiological states [1]. Therefore, weaim to answer the question: “What prior CAD learning experiences influence

Collection

2024 ASEE North Central Section Conference

Authors

Christopher Joseph Gioia; Louis Edward Christensen, The Ohio State University

’ perceptions of their own ability, or their self-efficacy, has been the topic of study fornumerous education papers in engineering and other fields. As with most topics self-efficacy is acomplex topic that is not constant for a person for all fields or times. Someone may be confidentin their ability to do one task, but at a different time they may be unsure of themselves due tooutside events. If the topic of that task changes so does their own perceived efficacy. In thecontext of engineering self-efficacy, Mamaril et al. described three different measures: generalacademic-self-efficacy, domain-general engineering self-efficacy, and skill based self-efficacy3.General academic self-efficacy refers to the students’ belief in their ability to accomplish

Conference Session

Materials Division (MATS) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ryan Barlow, zyBooks; Adrian Rodriguez, zyBooks; Lauren Fogg; Linda Ratts, Wiley; Yasaman Adibi, zyBooks; Jenny Welter, Wiley; Mary Fraley, Michigan Technological University

Tagged Divisions

Materials Division (MATS)

Psychology, vol. 54, no. 6, pp. 1063–1070, 1988. doi:10.1037//0022-3514.54.6.1063.[11] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering self‐efficacy: A validation study,” Journal of Engineering Education, vol. 105, no. 2, pp. 366–395, 2016. doi:10.1002/jee.20121.[12] Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R., & Kennedy, M. S. (2016). Measuring undergraduate students' engineering self‐efficacy: A validation study. Journal of Engineering Education, 105(2), 366-395.[13] Baker, D., Krause, S., & Purzer, S. (2008, June). Developing an instrument to measure tinkering and technical self efficacy in engineering. In 2008 Annual

Conference Session

Civil Engineering Division (CIVIL) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Adebayo Iyanuoluwa Olude, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering Division (CIVIL)

extrapolating these subgroup results. Greatersample sizes would yield more solid proof of the effects on a diverse learner’s body.According to [22], there is a high practical significance and potential for real-world impact dueto the very large effect size (d=1.03). However, depending solely on self-report measures has itslimitations due to its potential for bias. The conclusion that effects are meaningful would bestrengthened by the inclusion of objective competence measures. Long-term monitoring is alsorequired to ascertain whether effects endure over time [21]. All things considered, thispreliminary study offers a promising foundation for future research on self-efficacy andexperiment-centric pedagogy.ConclusionThis study demonstrates that

Conference Session

Mr. Burns' Brainchild: AI in the Springfield STEM Classroom, Release the Hounds!

Collection

2024 ASEE Annual Conference & Exposition

Authors

S. Shailja, University of California, Santa Barbara; Satish Kumar, University of California, Santa Barbara; Arthur Caetano, University of California, Santa Barbara; Ayush Pandey, University of California, Merced

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

’ increased proficiency. Moreover, 90% of the students developed models either fromscratch or by ensembling multiple models. This involves significant coding in Python (Figure 2A).Increase in student self-efficacy. We report the change in student self-efficacy measured usingthree related variables: (1) student confidence on speaking up about a technical area like AI, (2)student self-assurance and positive outlook for success in an AI career, and (3) outlook towards thefield of AI. First, we observe an increase in the students’ ability to understand and communicateAI research. As shown in the post-survey results (see Figure 5A), students’ showed a significantincrease in confidence in speaking up about topics in AI. The students’ ability to handle

Conference Session

Lisa's Legacy: Guiding Students Toward Engineering Careers, Excellent!

Collection

2024 ASEE Annual Conference & Exposition

Authors

Britta Solheim, Wartburg College; Jack Saylor Priske, Wartburg College; Murad Musa Mahmoud, Wartburg College; Cristian Gerardo Allen, Wartburg College; Kurt Henry Becker, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

students’ self-efficacy and interest in aSTEM field, we analyzed student responses to the following questions/statements (stronglydisagree/disagree/neither agree or disagree/agree/strongly agree): 1. I am able to get a good grade in my science class. 2. I am able to do well in activities that involve technology. 3. I am able to do well in activities that involve engineering. 4. I am able to get a good grade in my mathematics class.These four questions served as an indicator of self-efficacy among the student participants. Eachquestion measures the self-reported self-efficacy in each of the four major fields in the acronymSTEM (each question respectively). We then tabulated the responses to another set of statements: 1. I like

Conference Session

Cooperative and Experiential Education Division (CEED) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Karina Ivette Vielma, University of Texas at San Antonio; Robin Lynn Nelson, University of Texas at San Antonio; JoAnn Browning P.E., The University of Texas at San Antonio

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

undergraduatesfrom marginalized groups in engineering and to undergraduates who may not have the resourcesduring the academic year to participate in research at their institutions. Students are selectedusing holistic measures by each of the sites. The curriculum for the summer program aims tofoster self-efficacy in research through (1) participation in authentic research work, (2) facultyand experienced graduate student researcher mentoring, and (3) community building across thenatural hazards engineering and research communities.Students meet weekly through virtual means to discuss their research progress, address anychallenges, and discuss the rhetoric of scholarly publications and other activities. REU studentsalso participate in career development

Conference Session

Women in Engineering Division (WIED) Technical Session 8: Leadership and Persistence

Collection

2024 ASEE Annual Conference & Exposition

Authors

Christine Michelle Delahanty, National Science Foundation

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

Paper ID #41572Gender-Based Comparison of Creative Self-Efficacy, Mindset, and Perceptionsof Undergraduate Engineering StudentsDr. Christine Michelle Delahanty, National Science Foundation Dr. Delahanty is a Program Director at NSF in the Division of Undergraduate Education (EDU/DUE), and has a background in physics, electrical engineering, and STEM Education, with a concentration in creativity and innovation. Her research focuses on creative self-efficacy, creative mindset, and perceptions of engineering majors, particularly women, to offer insight into why there are so few women in the major and in the profession. She

Conference Session

Applications and Computational Tools for Mechanics Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Andrew R. Sloboda, Bucknell University; Kimberly LeChasseur, Worcester Polytechnic Institute; Sarah Wodin-Schwartz P.E., Worcester Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Mechanics Division (MECHS)

explored the app, but did notregularly use it, which justified combining the two into a single comparison group.3.2 Data Collection and MeasuresData were collected using the retrospective Student Assessment of their Learning Gains - anNSF-funded and validated survey [14] that asks students how much they learned for each of a setof learning objectives and the extent to which they attribute their learning to specific learningactivities. The SALG has been used to date by more than 22,000 instructors to assessapproximately half a million students.3.2.1 Student OutcomesItems were averaged to construct measures of growth in content mastery, self-efficacy related tostatics, and willingness to seek help. Each of the items included the same question stem

Conference Session

First-Year Programs Division: Best of FPD

Collection

2024 ASEE Annual Conference & Exposition

Authors

Angela R. Bielefeldt, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FYP)

– extremely)Post survey items to measure engineering self-efficacy (response options strongly disagree – strongly agree): I will be able to achieve most of the engineering-related goals that I have set for myself When facing difficult tasks within engineering, I am certain that I will accomplish them I believe I can succeed at most any engineering-related endeavor to which I set my mind I am confident that I can perform effectively on many engineering-related tasksPost survey items to measure commitment to engineering (response options): I have no doubt that I will graduate with a degree in engineering (strongly disagree – strongly agree) It is my intention to pursue a career in engineering (strongly disagree – strongly agree

Conference Session

Cooperative and Experiential Education Division (CEED) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kamryn G. Zachek, University of New Mexico; Anjali Mulchandani, University of New Mexico; Sydney Donohue Jobe, University of New Mexico

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

in academia at a R1 Hispanic servingUniversity in the American Southwest. The research was guided by the following question: Towhat extent does participation in undergraduate level research affect student’s self-efficacy andconfidence to succeed in undergraduate level academia/research? Students’ confidence and self-efficacy was measured using a Likert-scale survey. Responses were compared before and afterparticipating in the program to determine whether students’ confidence improved. We used SPSSfor statistical analysis of data which focused primarily on changes to mean response values.Following the conclusion of the Fellowship, interviews of the students were conducted via emailto gain further qualitative data on the impacts of the

Conference Session

Broadening Perspectives in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jose Manuel Fuentes-Cid; Monica Quezada-Espinoza, Universidad Andres Bello, Chile

Tagged Divisions

Construction Engineering Division (CONST)

Signed-Rank Test to analyze the data. Dataanalysis was conducted using quantitative techniques for survey responses, which includedboth descriptive and comparative analyses. Informed consent was obtained from allparticipants before the administration of the surveys, and the confidentiality of the gatheredinformation was maintained. Privacy was respected, and an ethical protocol consistent withresearch standards was adhered to throughout the study.ResultsIn this study, we used SPSS® to analyze our quantitative data. We applied the WilcoxonSigned-Rank Test to compare scores before and after the Sense of Belonging and Self-efficacy Survey (SBSS). This test is helpful for small sample sizes and compares two relatedsamples or repeated measurements on

Conference Session

Hands-On Learning in ET I

Collection

2024 ASEE Annual Conference & Exposition

Authors

Krystal Corbett Cruse, Louisiana Tech University; Casey Kidd, Louisiana Tech University; William C. Long, Louisiana Tech University

Tagged Divisions

Engineering Technology Division (ETD)

quantities related to the First Law of Thermodynamics.The students purchased a low-cost TeCS kit consisting of individual components, which theyassembled. Beginning in the first week, the students utilized the TeCS to apply thermodynamicsconcepts and continued to use it throughout the course. The students measured temperatures, airflow rates, mass, electrical current, and voltage to analyze the energy inputs and outputs of thesystem. The course material was designed to increase their understanding and intuition offundamental principles through the hands-on projects related to their systems, culminating in athorough analysis of the entire system.This study assesses the impact of the TeCS on engineering self-efficacy using a validated pre- andpost

Conference Session

Community Building and Student Engagement

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tridib Kumar Saha, Purdue University ; Jason Morphew, Purdue University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

composition of teams (considering factors like gender, ethnicity, major, GPA, prior circuit experience, and year in school) influence student perceptions of the CLE and, consequently, student outcomes?To address these questions, we investigate the relationships in our survey data set throughquantitative analysis, focusing on two dependent variables: student performance, in terms of theirexam scores (Exam), and Collaborative Learning Experience (CLE), a measured variable from asurvey questionnaire at the end of the semester about the student’s perception of thecollaborative learning experience. We in turn examine how these dependent variables may beaffected by other collected measures, such as task and general self-efficacy, test anxiety

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nada Elfiki, Stanford University; Helen L. Chen, Stanford University; George Toye; Micah Lande, South Dakota School of Mines and Technology; Felix Kempf, King's College London; Lauren Marie Aquino Shluzas, Stanford University; Sheri Sheppard, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

-Efficacy Measure and Social Cognitive Career TheoryIn the realm of human behavior, self-efficacy holds profound importance, particularly ininnovation and entrepreneurship. Several self-efficacy measures have been developed in theinnovation and entrepreneurship research fields and tailored to the specific tasks that areassessed in this context (e.g., [20]–[24]). Innovation Self-Efficacy (ISE) refers to theindividuals’ confidence in their ability to innovate and engage in specific behaviors thatcharacterize innovative people [23], [25], whereas Entrepreneurial Self-Efficacy (ESE) is thebelief and confidence individuals have in their own capabilities to execute tasks aimed atentrepreneurial outcomes and pursuing new venture opportunities [20], [21

Collection

15th Annual First-Year Engineering Experience Conference (FYEE)

Authors

Joseph A Lyon, University of Notre Dame; Mayari I. Serrano, Purdue University at West Lafayette (PPI)

taking the course [18], [19]. The MUSIC model of motivationsurvey can be found in the literature [19]. All statements were based on a 6-points Likert scaleranging from strongly disagree (1) to strongly agree (6). One qualitative question was also askedof the students: how has being part of this class changed your perspective on computerprogramming and computation?Data AnalysisThe data was analyzed using two approaches. First, the quantitative data was analyzed usingsimple descriptive statistics and correlation coefficients to understand if the two measures ofmotivation and self-efficacy may be related. Additionally, a thematic analysis process was usedto analyze the qualitative data responses from the students [20].ResultsHow are students

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nigel Berkeley Kaye, Clemson University; Lisa Benson, Clemson University; Makayla Headley, Clemson University; Komal Rohidas Sonavane

Tagged Topics

NSF Grantees Poster Session

data set is collected over the comingsemesters. Table 1. Mean and standard deviation for each measure of problem-solving self-efficacy. Civil Engineers (n=34) Non-Civil Engineers (n=36) Mean Standard Mean Standard Deviation Deviation Problem definition (/100) 81.6 9.0 83.3 10.4 Representation & 82.0 10.1 82.6 12.0 Organization (/100) Calculations (/100) 87.3 10.0 84.6 11.1 Evaluate Solution (/100) 87.9 8.4

Collection

2024 PNW Section Annual Meeting

Authors

Jennifer I. Clark; Sage Kittelman; Faqeer ur Rehman; Molly R. Schmitt

–676, 1992, doi: 10.3102/00028312029003663.[10] A. R. Carberry, H. S. Lee, and M. W. Ohland, “Measuring engineering design self- efficacy,” Journal of Engineering Education, vol. 99, no. 1, pp. 71–79, 2010, doi: 10.1002/j.2168-9830.2010.tb01043.x.[11] M. A. Hutchison, D. K. Follman, M. Sumpter, and G. M. Bodner, “Factors influencing the self-efficacy beliefs of first-year engineering students.,” Journal of Engineering Education, vol. 95, no. 1, pp. 39–47, Jan. 2006, [Online]. Available: http://search.ebscohost.com.proxybz.lib.montana.edu/login.aspx?direct=true&db=a9h&A N=19552472&site=ehost-live[12] M. K. Ponton, “Motivating Students by Building Self-Efficacy,” Journal of Professional

Conference Session

Marge's Mission: Empowering STEM Innovation

Collection

2024 ASEE Annual Conference & Exposition

Authors

Faiza Zafar, Rice University; Carolyn Nichol, Rice University; Mariana Elizabeth Quinn, Rice University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

allparticipantsInstrument To assess the impact of the course on teachers’ engineering self-efficacy, data wascollected using the Teaching Engineering Self-Efficacy Scale (TESS) [15], [16]. TESS is avalidated instrument consisting of 23 items with five subscales: Engineering PedagogicalContent Knowledge Self-efficacy (KS), Engineering Engagement Self-efficacy (ES),Engineering Disciplinary Self-efficacy (DS), and Engineering Outcome Expectancy (OE) [16].The TESS demonstrates high internal consistency reliability, with Cronbach's α ranging from0.89 to 0.96 across the four factors [16]. These high-reliability coefficients indicate that theTESS consistently measures teachers' engineering self-efficacy with precision and accuracy. Byutilizing the TESS in this

Collection

15th Annual First-Year Engineering Experience Conference (FYEE)

Authors

Charity Obaa Afi Ampomah, Ashesi University; Heather Beem, Ashesi University

Tagged Topics

Diversity

levels of confidence (self-efficacy) in their ability to design, code, and fabricatesolutions, and self-reported levels of self-determination and agency. The post-survey capturedthe same Likert-scale responses for self-efficacy, self-determination, and agency. Itadditionally captured open-ended responses on students’ experiences working on their finalproject, dwelling on how they felt about the project from the beginning until completion.Approval was obtained from the authors’ institution’s review board with an approval ID1282023 to conduct research through this project, maintaining student anonymity throughout.Survey questionsIn designing the items used to measure the three constructs in view, existing scales wereconsidered and, in some cases