Conference Session

Self-Efficacy & Mindset

Collection

2025 ASEE Annual Conference & Exposition

Authors

Matthew D. Lovell P.E., Rose-Hulman Institute of Technology; Chris Carroll P.E., Trine University; Matthew K Swenty P.E., Virginia Military Institute; Charles Riley P.E., Oregon Institute of Technology; David Weston Johnstone P.E., Ohio Northern University

Tagged Divisions

Civil Engineering Division (CIVIL)

impacts into their assignments. Theassessment and survey results of the course indicated students became more aware of the impactsof their projects and became prepared for the workforce [16]. A research study in an electricaland computer engineering program indicated that the entrepreneurial intention of a student canbe influenced by linking entrepreneurship to activities and research in education programs [8].Another study researched students’ perceived entrepreneurial self efficacy for a group ofbiomedical engineering students in a senior design course. They found an increase in students’abilities to accomplish entrepreneurial tasks after exposing students to EML [14]. A differentgroup, teaching material science classes, incorporated self

Conference Session

Self-Efficacy & Mindset

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michael Oluwafemi Ige, Morgan State University; Samuel Sola Akosile, Morgan State University; Tolulope Abiri, Morgan State University; Grace Yemisi Balogun, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

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Diversity

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Civil Engineering Division (CIVIL)

Paper ID #48745Enhancing self-efficacy among civil engineering undergraduates using hand-onpedagogyMr. Michael Oluwafemi Ige, Morgan State University Michael Ige is a Graduate Research Assistant in the Department of Civil and Environmental Engineering at Morgan State University, Maryland, where he is pursuing his M.Sc. in Civil and Environmental Engineering with a concentration in Construction Management and Transportation Engineering. He earned his B.Tech. in Building Structure from the Federal University of Technology, Akure, Nigeria. Michael has extensive professional experience managing large-scale heavy

Conference Session

Self-Efficacy & Mindset

Collection

2025 ASEE Annual Conference & Exposition

Authors

Evan Taylor, Clemson University; Lisa Benson, Clemson University; Nigel Berkeley Kaye, Clemson University; Makayla Headley, Clemson University

Tagged Divisions

Civil Engineering Division (CIVIL)

teams, a final course grade for each team was calculated by averaging the finalgrades for individual students within a team. While this was not the main research question,engaging in self-reflection can affect self-efficacy and therefore contributed to our understandingof the results of this study.3.4 Analysis MethodsThe primary method used to determine the relationship between PSSE, abstraction level, andperformance is Pearson correlation coefficient. This coefficient is a dimensionless measure of thecovariance between two variables, normalized between -1 and 1 [19]. These extremes representexact linear relationships between the variables. As a result, interpretation of this coefficient canlead to some inferences about the relationship between

Conference Session

Self-Efficacy & Mindset

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ghina Absi, Vanderbilt University

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering Division (CIVIL)

that visits to engineering schools had an impact on thestudents’ decision to enter engineering [3]. Phelps et al. [4] showed that many factors across lifestages are associated with engineering major choices, and highlighted the importance of pre-collegeexperiences in guiding students in that choice. This demonstrates that interactions with undergraduateprograms have a measurable influence on major selection, which provides a great argument for STEMoutreach from engineering schools to middle and high-school students. STEM interest in middle and high-school students is sometimes difficult to predict. It relies onmany socio-economic variables, as well as academic settings in schools. Some studies have attemptedto link these variables to

Conference Session

Self-Efficacy & Mindset

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah Rajkumari Jayasekaran, University of Florida; Idalis Villanueva Alarcón, University of Florida; Jeremy A. Magruder Waisome, University of Florida

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Diversity

Tagged Divisions

Civil Engineering Division (CIVIL)

, Biological Engineer, Analytical Cell Biologist, and Engineering Education Researcher to tackle complex engineering education problems across the learner life span.Dr. Jeremy A. Magruder Waisome, University of Florida Dr. Jeremy A. Magruder Waisome is an Assistant Professor in the Engineering Education Department at the University of Florida (UF). Her research focuses on self-efficacy and critical mentoring. She is passionate about broadening participation in engineering, leveraging evidence-based approaches to improve the engineering education environment. ©American Society for Engineering Education, 2025 "Visualizing and Modeling a Growth Mindset in an AutoCAD course."AbstractThis Work-in

Conference Session

Design in Engineering Education Division (DEED) - Design Cognition and Self-Perception in Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Caleb Z. Smith, Florida Polytechnic University; Elisabeth Kames Ph.D., Florida Polytechnic University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

Self-Efficacy and Demographics of Makerspace Participants Across Three Universities,” Journal of Mechanical Design, vol. 142, no. 10, Oct. 2020, doi: 10.1115/1.4046649.[6] J. A. Marin, J. E. Armstrong, and J. L. Kays, “Elements of an Optimal Capstone Design Experience,” Journal of Engineering Education, vol. 88, no. 1, pp. 19–22, Jan. 1999, doi: 10.1002/j.2168-9830.1999.tb00405.x.[7] 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.[8] E. Kames, D. Shah, M. Clark, and B. Morkos, “A Mixed Methods Analysis of Motivation Factors in Senior

Conference Session

Hands-on Learning and Industry-Relevant in ECE Curriculum Development

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tom J. Zajdel, Carnegie Mellon University; Allison E. Connell Pensky, Carnegie Mellon University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

design. Thecourse’s target audience is undergraduates, serving students majoring in computer science,design, the liberal arts, and business, at a private R1 research institution. The class guidesstudents through a series of laboratory exercises and design experiences to develop theirconfidence and ability in the domains of soldering, breadboard prototyping, circuit fundamentals,and microcontrollers. This paper evaluates the impact 18-095 has had over three semesters (Fall2023, Spring 2024, Fall 2024), analyzing the development of student self-efficacy, identity, andsense of belonging, as measured across three surveys each semester (n = 71). Self-efficacy forcircuit prototyping and design increased by a mean of 45.7 points between the pre-measure

Conference Session

Two-Year College Division (TYCD) Technical Session 3: Identity and Achievement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Paulina Z. Sidwell, McLennan Community College; April K. Andreas, East Texas A&M University; Michelle Pettijohn Powell, Waco Independent School District

Tagged Topics

Diversity

Tagged Divisions

Two-Year College Division (TYCD)

final Engineering Skills Self-EfficacyScale [1]. This scale measures self-efficacy in three key areas: experimental, tinkering, anddesign. The survey will be administered again at the end of each of the following five subsequentsemesters to track changes in self-efficacy based on workshop utilization for various courses’projects.BackgroundWhile it’s widely recognized that nearly half of students who graduate from four-yearuniversities start their education at community colleges [2], the numbers are notably lower forengineering students. Only 43% of engineering graduates have attended a community college,and just 13% have earned an associate degree [3]. Community colleges also enroll a higherpercentage of underrepresented minority groups, with

Conference Session

Computers in Education Division (COED) Track 4.E

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gabriella Marie Haire, University of Florida College of Education; Pavlo Antonenko; Christine Wusylko, University of Florida; STEPHANIE KILLINGSWORTH, University of Florida; Brian Abramowitz, University of Florida; Jeremy A. Magruder Waisome, University of Florida

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Diversity

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Computers in Education Division (COED)

participate but also to explain theimportance of AI in science to their peers and community. This enabled scholars to feel apersonal connection as their scientific project was envisioned within a real-world context. Figure 2. Google Teachable Machine [16].Measures and data sourcesThe self-reports of the children’s self-efficacy for AI were collected via a survey administeredon Qualtrics before and after the Shark AI program. Self-efficacy for AI was assessed using anadapted version of the original Science subscale (9 items) and the Technology and Engineeringsubscale (9 items) of the widely used 37-item S-STEM questionnaire developed by NorthCarolina State University’s Friday Institute [19]. Only the Science and Technology

Conference Session

ENT-7: Approaches to Fostering Self-Efficacy and Data-Driven Decision Making

Collection

2025 ASEE Annual Conference & Exposition

Authors

Catalina Cortazar, Pontificia Universidad Catolica de Chile; Gabriel Astudillo, Pontificia Universidad Catolica de Chile; Isabel Hilliger P.E., Pontificia Universidad Catolica de Chile

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Diversity

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Entrepreneurship & Engineering Innovation Division (ENT)

Paper ID #49062How a Cornerstone Course Impacts Self-Efficacy and Entrepreneurial SkillsProf. Catalina Cortazar, Pontificia Universidad Catolica de Chile Catalina Cort´azar is a Faculty member in the engineering design area DILAB at the School of Engineering at Pontificia Universidad Cat´olica de Chile (PUC). Catalina holds a Ph.D. in Engineering Science with a focus on Engineering Education from PUC, an MFA in Design and Technology from Parsons The New School for Desing, an MA in Media Studies from The New School, and a bachelor’s degree in Civil Engineering, with a concentration in Structural Design.Gabriel

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mary Benjamin, Michigan Technological University; Michelle E Jarvie-Eggart P.E., Michigan Technological University; Leo C. Ureel II, Michigan Technological University; Jon Sticklen, Michigan Technological University

Tagged Topics

NSF Grantees Poster Session

to programming.Two validated scales were used to assess changes in both computer programming andengineering self-efficacy: ​1.​Computer Programming Self-Efficacy Scale (CPSES): Measures programming confidence across constructs such as independence, persistence, and complex task handling [9]. ​2.​Longitudinal Assessment of Engineering Self-Efficacy (LAESE):Assesses confidence in engineering-related tasks, career expectations, and sense of belonging [10].The instruments were administered as pre- and post-surveys to capture baseline andpost-intervention self-efficacy data. The CPSES and LAESE surveys both used a 7-point Likertscale ranging from “not confident at all” to “absolutely confident.Preliminary

Conference Session

ERM Technical Session: Examining Undergraduate Recruitment & Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

VINCENT OLUWASETO FAKIYESI, University of Georgia; ISAAC DAMILARE DUNMOYE, University of Georgia; VARUN KATHPALIA, University of Georgia; Deborah Moyaki, University of Georgia; Animesh Paul, University of Georgia; Nathaniel Hunsu, University of Georgia

Tagged Divisions

Educational Research and Methods Division (ERM)

-avoidance (α = 0.878). These values indicate acceptable to high internalconsistency for the scales in the current study.Self-efficacy for learning performanceThe Self-Efficacy for Learning Performance (SLP) subscale from the Motivated Strategies forLearning Questionnaire (MSLQ) [35] was used to assess students' self-efficacy in this study.This 8-item subscale measures students' confidence in their ability to successfully completeacademic tasks and achieve success in the course. Participants rated each item on a 5-point Likertscale, ranging from 1 (never or only rarely true of me) to 5 (always or almost always true of me).Higher scores indicate a stronger belief in their capacity to succeed academically. Example itemsinclude, “I believe I will

Conference Session

ERM Technical Session: Examining Undergraduate Recruitment & Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

VINCENT OLUWASETO FAKIYESI, University of Georgia; Olanrewaju Paul Olaogun, Merrimack College; Deborah Gbemisola Fabiyi, Washington State University; ISAAC DAMILARE DUNMOYE, University of Georgia; Nathaniel Hunsu, University of Georgia

Tagged Divisions

Educational Research and Methods Division (ERM)

engineering students. One hundred and fiftystudents enrolled in a foundational engineering course at a public university in the southeasternUnited States completed measures with established evidence of validity of goal orientation,resilience, and self-efficacy. Hierarchical regression analysis revealed that resilience and masterygoals significantly predicted self-efficacy, while performance goals showed marginalsignificance. Mediation analysis indicated resilience partially mediated the relationship betweenmastery goals and self-efficacy. Practical implications for fostering resilience and mastery-focused strategies in engineering education are discussed, along with directions for futureresearch.IntroductionStudents’ academic performance and success

Conference Session

Design in Engineering Education Division (DEED) - Best in DEED

Collection

2025 ASEE Annual Conference & Exposition

Authors

Heather Michelle Phillips, University of Pittsburgh; Nicholas Anthony Nobile, University of Pittsburgh; Gabriel Azure Antonio Mendez-Sanders, Carnegie Mellon University; Lee Allen Dosse, University of Pittsburgh; Ahmed Dallal, University of Pittsburgh; Mohamed A. S. Zaghloul

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

. ©American Society for Engineering Education, 2025 Design Curriculum in Introductory Circuits Laboratory Assignments and the Influence on Innovation Self-EfficacyAbstractThis paper examines the impact of integrated design elements in a second-year introductorycircuits course on students’ innovation self-efficacy (ISE). Building upon a pilot study fromSpring 2024, this research focuses on the implementation of updated laboratory assignments inone section of the course while maintaining the original curriculum in a parallel section. Theupdated curriculum emphasizes experiential learning through active learning engagement,simulation exercises, open-ended design challenges, and reflection. This allows students tonavigate the full

Conference Session

Track 6: Technical Session 1: Gendered Impacts of Code Critiquers on Self-Efficacy in First-Year Engineering Students.

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Mary Benjamin, Michigan Technological University; Laura Albrant, Michigan Technological University; Michelle E Jarvie-Eggart P.E., Michigan Technological University; Leo C. Ureel II, Michigan Technological University; Laura E Brown, Michigan Technological University; Jon Sticklen, Michigan Technological University; AJ Hamlin, Michigan Technological University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

scale was employed to measure students' self-efficacy in engineering tasks. Thisinstrument assesses various dimensions of engineering self-efficacy, including students’confidence in their ability to succeed in engineering courses, solve technical problems, andpersist in their engineering studies [15]. The assessment of engineering self-efficacy amongstudents will be focused on several constructs, each measured through specific items that providea comprehensive understanding of students’ confidence and perceived abilities within the field ofengineering, including Factor1: Engineering Self-Efficacy, Factor 2: Engineering CareerExpectations, Factor 3: Sense of Belonging, and Factor 4: Coping Self-Efficacy.Computer Programming Self-Efficacy Scale

Conference Session

Systems Engineering Division (SYS) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mark David Bedillion, Carnegie Mellon University; Laura Ochs Pottmeyer, Carnegie Mellon University; Karim Heinz Muci-Kuchler, Texas State University; Lynn Kojtek, Carnegie Mellon University; Anahita Emami; Cassandra M Birrenkott, South Dakota Mines

Tagged Divisions

Systems Engineering Division (SYS)

Paper ID #46715Assessing Learning and Self-Efficacy in Online Modules on Systems Thinkingand Systems EngineeringDr. Mark David Bedillion, Carnegie Mellon University Dr. Bedillion received the BS degree in 1998, the MS degree in 2001, and the PhD degree in 2005, all from the mechanical engineering department of Carnegie Mellon University (CMU). Dr. Bedillion is currently a Teaching Professor and Director of Academic Operations in the CMU Mechanical Engineering department. His previous experience includes serving as an Associate Professor at the South Dakota School of Mines and Technology and a researcher / manager at

Conference Session

ENT-7: Approaches to Fostering Self-Efficacy and Data-Driven Decision Making

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abigail Tubbs, University of North Dakota; Mercedes Terry, University of North Dakota; Brandon Fugger, University of North Dakota; Blair Dupre, University of North Dakota; Enrique Alvarez Vazquez, University of North Dakota; Ryan Striker P.E., University of North Dakota

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

ininnovation-related tasks, was measured using a validated Innovation Efficacy scale. The studyfurther explores the effect of graduate students acting as learning coaches and project mentors.This work examines whether the learning coaches’ guidance and support contribute to increasinginnovation self-efficacy. The IES scale was modified to include role-specific items for studentsto rate how the coach and mentor contributed to their innovation self-efficacy.Innovation-Based Learning (IBL) is an educational approach designed to foster origination,particularly in science, technology, engineering, and mathematics (STEM) disciplines such asbiomedical engineering. Unlike traditional project-based learning, IBL focuses on solving openproblems, identifying new

Conference Session

Advancing Robotics Education: Frameworks, Platforms, and Teacher Preparation for K-12 Engagement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jennifer Jill Kidd, Old Dominion University; Kristie Gutierrez, Old Dominion University; Min Jung Lee, University of North Dakota; Danielle Marie Rhemer, Old Dominion University; Krishnanand Kaipa, Old Dominion University; Pilar Pazos, Old Dominion University; Stacie I Ringleb, Old Dominion University; Orlando M Ayala, Old Dominion University; Francisco Cima; Isaac Koduah Kumi, Old Dominion University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

Paper ID #47467A Deep Dive in Preservice Teacher Self-Efficacy Development for TeachingRobotics (RTP)Dr. Jennifer Jill Kidd, Old Dominion University Dr. Jennifer Kidd is a Master Lecturer in the Department of Teaching and Learning at Old Dominion University. Her research interests include preservice teachers, engineering education, and educational technology.Dr. Kristie Gutierrez, Old Dominion University Dr. Gutierrez received her B.S. in Biology from the University of North Carolina at Chapel Hill in 2001, M.Ed. in Secondary Science Education in 2005 from the University of North Carolina at Wilmington, and Ph.D. in

Conference Session

Informal Education and Outreach Programs for Women Engineering Students

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lillian Clark Jeznach, Roger Williams University; Maija A Benitz, Roger Williams University

Tagged Divisions

Women in Engineering Division (WIED)

completing her doctoral work jointly in the Multiphase Flow Laboratory and the Wind Energy Center at UMass Amherst. Her teaching and research focuses on ocean hydrodynamics and offshore wind energy. ©American Society for Engineering Education, 2025Longitudinal Examination of Gender Differences in Engineering Self-Efficacy and the Impact of COVID-19: A Six-Year StudyAbstractThis paper presents a longitudinal analysis of gender differences in undergraduate engineeringstudents’ feeling of self-efficacy across a six-year period, including the impact of the COVID-19pandemic. Engineering self-efficacy was measured by the Longitudinal Assessment ofEngineering Self-Efficacy (LAESE) instrument, while pandemic

Conference Session

Track 2: Technical Session 2: "Si no servimos, no servimos": A Pilot Study on the Influence of Perceived Advisor Support on Graduate Student Thesis Self-Efficacy

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Abimelec Mercado Rivera, Arizona State University, Polytechnic Campus; Brooke Charae Coley, Arizona State University, Polytechnic Campus; Samantha Ruth Brunhaver, Arizona State University, Polytechnic Campus

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

psychosocial needs of the students, with statements such as “My advisor takes aninterest in my well-being and life-work balance,” and “My advisor provides emotional supportwhen I need it.” Finally, TSE is our dependent variable and is measured by the Thesis Self-efficacy factor, measured on a confidence-anchored Likert scale and includes items that deal withthe various skills surrounding the completion of a terminal document.Participants and InstitutionsWhile our focus is set on the experiences of Latin* engineering graduate students, our surveywas open to students of all racial and ethnic backgrounds. The target population could bedescribed as engineering graduate students enrolled in master’s and doctoral programs whowere actively working towards

Conference Session

First-Year Programs Division (FPD) Technical Session 4: Fostering Belonging - Identity, Self-Efficacy, and Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile; Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile; Camila Zapata-Casabon, Universidad Andres Bello

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Diversity

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First-Year Programs Division (FPD)

(sense of belonging) are crucial for students pursuing STEM careers. Thesefactors influence persistence, motivation, and identity development, particularly inengineering students, helping them overcome academic challenges and lack of technicalexperience. High self-efficacy fosters resilience, goal setting, and better academic outcomes,while low levels can lead to demotivation, feelings of inadequacy, and increased dropout risk,especially during the first year. Analyzing students’ GPA is vital for understanding first-yearretention, as it serves as an early indicator of academic performance and identifies students atrisk. However, GPA alone is insufficient to capture the complexity behind academic success.Complementing GPA with measures of

Conference Session

AI, Technology, and Data-Driven Learning in Biomedical Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mercedes Terry, University of North Dakota; Abigail Tubbs, University of North Dakota; Brandon Fugger, University of North Dakota; Blair Dupre, University of North Dakota; Enrique Alvarez Vazquez, University of North Dakota; Ryan Striker P.E., University of North Dakota

Tagged Divisions

Biomedical Engineering Division (BED)

quantify the likelihood that changesin CD would lead to measurable improvements in ISE, offering deeper insights into howcognitive dissonance influences innovation self-efficacy over time. The initial logistic regression model, optimized using GridSearchCV, achieved anaccuracy of 71.4%. GridSearch CV is a method used to check how well a predictive model willwork on new data. It does this by splitting the data into multiple parts, training the model onsome parts, and testing it on others, helping to ensure that the results are not just a coincidencebut meaningful. The model's performance varied across the two classes. For Class 0 (low ISE),the model achieved a recall of 100% but had a low precision of 33%, leading to an F1-score of0.50

Conference Session

NSF Grantees Poster Session II

Collection

2025 ASEE Annual Conference & Exposition

Authors

Betsy Chesnutt, The University of Tennessee, Knoxville

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NSF Grantees Poster Session

perceptions ofengineers and engineering. This impacts their self-efficacy with teaching engineering as well astheir willingness to attempt to incorporate engineering practices into their classrooms [6-8].Engineering teaching self-efficacy, which is defined as teachers’ “personal belief in their abilityto positively affect students’ learning of engineering” [7,8], directly affects the ability of teachersto engage students in engineering practices. The Teaching Engineering Self-Efficacy Scale(TESS), a survey developed by Yoon and Strobel to measure the self-efficacy of K-12 teachers,has demonstrated that the engineering teaching self-efficacy of current K-12 teachers is typicallyquite low [7,8].To provide pre-service STEM teachers with exposure to

Conference Session

Computers in Education Division (COED) Track 6.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Annie Hui, zyBooks, A Wiley Brand; Nkenge Wheatland, zyBooks, A Wiley Brand; Chelsea L Gordon, zyBooks, A Wiley Brand; Efthymia Kazakou, zyBooks, A Wiley Brand; Neil Thawani, zyBooks, A Wiley Brand; Michael Goldwasser, Saint Louis University; Yamuna Rajasekhar, zyBooks, A Wiley Brand

Tagged Divisions

Computers in Education Division (COED)

different challenge for repeat attempts. The goal of the pilot was to measure theimpact on students' study habits, self-efficacy, and learning outcomes. Students completed a25-item survey regarding knowledge of course content and self-efficacy, at the start and end ofthe course. At the end of each chapter, students were offered the self-assessment quiz, followedby a brief survey on the insights the student gained about their understanding of the material, andimpact on study habits and self-efficacy. This paper presents exploratory analyses examiningstudents' self-assessment quiz usage patterns through the course, quantifying students'engagement with the self-assessment quizzes, and gathering insights into whether students foundthe self-assessment

Conference Session

Aerospace Division (AERO) Technical Session 4 - Teaching Methodology

Collection

2025 ASEE Annual Conference & Exposition

Authors

Russell William Mailen, Auburn University; Jeffrey LaMondia, Auburn University; Sushil Adhikari P.E., Auburn University; Katharine H. Brown, Auburn University; Christopher Ryan Basgier, Auburn University; Jordan Harshman, Auburn University

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Diversity

Tagged Divisions

Aerospace Division (AERO)

. Student-focused direct measures include students’ self-efficacy and self-regulatoryfactors for writing, collected through the Metacognitive Strategy Knowledge Test (MSKT).[17]This inventory is designed to measure strategies mapped to the three stages of writing(before/planning, during/writing, and after/reflecting) predicted by Metacognitive WritingKnowledge framework,[18], [19] which provides natural subscales. To measure self-efficacy andself-regulation, the Writing Self-Regulatory Efficacy Scale (WSRES) [20] has been adopted andadministered to participating students in the Writing SySTEM. The adoption process will involveminor rewording to items to make them more realistic for a graduate engineering student.Instruments will be given prior to

Conference Session

Aerospace Division (AERO) Technical Session 1 - Experiential Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Iftekhar Ibne Basith, Sam Houston State University; Syed Hasib Akhter Faruqui, Sam Houston State University; Ali Dinc, Sam Houston State University; Joice Hill, Sam Houston State University; Emma Elizabeth Robles; Addym Paul Jackson, Sam Houston State University; Francis Coker, Sam Houston State University

Tagged Divisions

Aerospace Division (AERO)

State UniversityEmma Elizabeth RoblesAddym Paul Jackson, Sam Houston State UniversityFrancis Coker, Sam Houston State University ©American Society for Engineering Education, 2025 Design of a Micro Class Airplane for SAE 2024 Competition: Fostering Engineering Self-Efficacy and Collaboration in Capstone EducationAli Dinc, Emma Robles, Addym Jackson, Joice Hill, Francis Coker, Syed Hasib Akhter Faruqui and Iftekhar Ibne Basith Engineering Technology, Sam Houston State University, Huntsville, TXAbstract This paper presents a multidisciplinary capstone project centered on the 2024 SAE Aero DesignMicro-Class competition, emphasizing both technical achievement and

Conference Session

Cooperative and Experiential Education Division (CEED): Identity, Motivation & Belonging in Experiential Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kenya Crosson, University of Dayton; Elizabeth Generas, Wright State University; Leanne Petry, Central State University; Melissa Karlin, St. Mary's University; Margaret Pinnell, University of Dayton; Camryn Lanise Justice, University of Dayton

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

not Hispanic or Latinx. More participants were also fromPWI institutions rather than HSI, MSI or HBCU schools in this year 1 cohort.Students’ Self-Efficacy Outcomes. The impact of this REU program on students’ self-efficacy andfeeling more confident in STEM was also measured in the anonymous online survey based on themodified TIDES questions. Three-quarters of the students reported increased confidence in overcomingproblems with teachers, understanding articles with STEM content, pursuing a career in STEM, andperforming well in a STEM career.Retention in STEM and Future Career Aspirations Outcomes. While only year 1 results are available,literature from REU experiences consistently demonstrate gains in research skills, academic preparation

Conference Session

Shaping Inclusive STEM Curriculum and Teacher Development for K-12 Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Krista Dulany Chisholm, University of Florida; Sarah Louise Langham, University of Florida; Kassandra Fernandez, University of Florida; Nancy Ruzycki, University of Florida

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

much they enjoyed thatexperience.During the pre-and post-surveys, teachers were asked to rate their skill level using the following4-point scale: None, Basic, Medium, and High. This question was asked to survey the change inteachers’ perceived coding ability after participating in training where they were introduced to andlearned the programming concepts of the camp and the facilitation of the summer camp, teachingstudents programming through engineering design activities.Teacher Self-EfficacyThe Teacher Efficacy and Attitudes Toward STEM (T-STEM) survey tool was delivered in bothpre- and post-surveys to measure the change in STEM self-efficacy among the participatingteachers [19], [20]. This tool was designed to gather information about a

Conference Session

Empowering Pre-College Students through AI and Computer Science: Standards, Self-Efficacy, and Social Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

S. Shailja, Stanford University; Thomas John Williams, University of California Merced; Ayush Pandey, University of California Merced

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

qualitative data? To quantify the two-year impact of the program, we study (RQ2) whether thepre-college program enhanced students’ confidence and readiness for a college major in computerscience or related engineering disciplines. For a deeper understanding of students’ perceptions andchange in psychosocial behavior, we also study: (RQ3) Which specific aspects of self-efficacy andsocial and emotional learning are most affected among students who participated in the summerprogram? Our measurement instruments are pre-/post-course Likert surveys, thematic analysis ofstudent focus groups, and a codebook-based quantitative analysis of student reflections. We reportthe correlations of our thematic analysis results with the pre- and post-course Likert

Conference Session

First-Year Programs Division (FPD) Technical Session 5: Supporting Student Transition

Collection

2025 ASEE Annual Conference & Exposition

Authors

David A. Copp, University of California, Irvine; Anna-Lena Dicke, University of California, Irvine; Dayana Rivas, University of California, Irvine; Analia E. Rao, University of California, Irvine

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

Paper ID #47689A Summer Bridge Program Tech Challenge for Improving Self-Efficacy ofDiverse Incoming Engineering First-Year and Transfer StudentsDr. David A. Copp, University of California, Irvine David A. Copp received the B.S. degree in mechanical engineering from the University of Arizona and the M.S. and Ph.D. degrees in mechanical engineering from the University of California, Santa Barbara. He is currently an Assistant Professor of Teaching at the University of California, Irvine in the Department of Mechanical and Aerospace Engineering. Prior to joining UCI, he was a Senior Member of the Technical Staff at Sandia