Conference Session

Insights for Teaching ECE Courses - Session I

Collection

2019 ASEE Annual Conference & Exposition

Authors

Safeer M. Khan P.E., Arkansas Tech University; Mohamed Ibrahim, Arkansas Tech University; Nansong Wu, Arkansas Tech University

Tagged Divisions

Electrical and Computer

, wireless communication, and IoT applications. c American Society for Engineering Education, 2019 Measuring Self-Efficacy in Engineering Courses – Impact of Learning Style PreferencesAbstractSelf-efficacy is an important outcome of engineering education as it relates to students' feelings,thoughts, motivations and behaviors. The key element of self-efficacy construct is a self-belief inone's abilities and has been described in detail in terms of Bandura's Social Cognitive Theory.Measuring self-efficacy of students in engineering courses is an important element of evaluatingthe overall effectiveness of engineering education. Traditional methods of judging student learningoutcomes

Conference Session

It's All About the Student: Integration, Problem Solving, Critical Thinking, and Self-Efficacy

Collection

2019 ASEE Annual Conference & Exposition

Authors

Mary Katherine Watson, The Citadel; William J. Davis P.E., The Citadel; Timothy W. Mays, The Citadel; Ronald W. Welch P.E., The Citadel; John C. Ryan, The Citadel

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering

Engineers for over 24 years including eleven years on the faculty at the United States Military Academy.Prof. John C. Ryan, The Citadel c American Society for Engineering Education, 2019 Measuring Undergraduate Student Design Self-Efficacy within an Undergraduate Civil Engineering CurriculumIntroductionAs infrastructure is becoming deteriorated and outdated, there is a need for diverse, design-savvycivil engineers to develop the infrastructure of the future. In fact, the American Society of CivilEngineers has issued a grade of D+ for America’s infrastructure and declared a need for morediverse civil engineering talent to tackle the complex issues related to our infrastructure systems[1

Conference Session

Advancing Research on Engineering Leaders’ Confidence, Careers, and Styles

Collection

2019 ASEE Annual Conference & Exposition

Authors

William J. Schell IV P.E., Montana State University; Bryce E. Hughes, Montana State University; Brett Tallman P.E., Montana State University; Emma Annand, Montana State University; Romy M. Beigel, Montana State University; Monika B Kwapisz, Montana State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Leadership Development

appropriate since individual student cases are grouped by schools, and predictorvariables include both student-level and institution-level variables. The leadership construct,referred to as leadership self-efficacy in this work, includes self-rated growth in leadership ability,self-rating of leadership ability relative to one’s peers, participation in a leadership role and/orleadership training, and perceived effectiveness leading an organization.The primary independent variable of interest was a factor measuring engineering identitycomprised of items available on both the TFS and CSS instruments. Including this measure ofengineering identity from two different time periods in the model provides the relationshipbetween engineering identity in the

Conference Session

Design in Engineering Education Division: Postcard and Student Essays

Collection

2019 ASEE Annual Conference & Exposition

Authors

Roxana Maria Carbonell, University of Texas, Austin; Madison E. Andrews, University of Texas, Austin; Audrey Boklage, University of Texas, Austin; Maura J. Borrego, University of Texas, Austin

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

attitudes and skillsets as they relate to the makerspace. Ourresearch team surveyed 172 undergraduate students in 6 unique courses that incorporate amakerspace based project into their curriculum. These courses varied by student year,department, subject matter, and project complexity. Each student was surveyed at the beginningand end of the semester, before and after they had completed a course project in the makerspace.The survey measured students’ affect towards design, design self-efficacy, technology self-efficacy, innovation orientation, and sense of belonging within the makerspace. Survey itemswere validated through exploratory and confirmatory factor analysis. Subsequently, paired t-testswere used to analyze if, and how, these metrics

Conference Session

Pre-College Engineering Education in the Formal Classroom

Collection

2019 ASEE Annual Conference & Exposition

Authors

Cara N. Morton, Washington State University; Kira J. Carbonneau, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

small groups (60 min total). Results from the Repeated-Measures Analysis of Variance (RM-ANOVA) demonstrated that participants reported higherperceived ability to engage in scientific learning processes (d = .17) and in science learningbehaviors (d = 0.15). Both theoretical and practical implications are discussed.Objective Self-efficacy is the judgement an individual makes regarding their ability to performvarious tasks and this judgement is domain and task specific (Bandura, 1977, 1982). Since theway in which people act, think, and feel, is a direct reflection of their own beliefs in theircapabilities, learners’ beliefs promote both engagement and learning (Linnenbrink & Pintrich,2003), as well as long-term achievement (Parker

Conference Session

Design in Engineering Education Division: Design Mental Frameworks

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joanna Tsenn, Texas A&M University; Heather S. Lewis, Texas A&M University; Astrid Layton, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

help students develop a high level of design self-efficacy, the belief in one’s ability to complete engineering design tasks. Engineers problem-solve by practicing design tasks. As a result, design self-efficacy is a critical component of asuccessful engineer [1]. Preparing students to become successful engineers, in both industry andacademia, therefore demands that design tasks be taught to a level where students may obtainself-efficacy [2, 3]. The importance of design tasks has also been acknowledged by theAccreditation Board for Engineering and Technology (ABET). This work seeks to measure theimpact of different variables on design self-efficacy, based on the specific project experiences ofthe students at the end of their two-semester

Conference Session

Minorities in Engineering Division Technical Session 3

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jeremy A. Magruder Waisome, University of Florida; Kyla McMullen, University of Florida; Tiffanie R. Smith, University of Florida; Simone A. Smarr, University of Florida; Juan E. Gilbert, University of Florida

Tagged Divisions

Minorities in Engineering

data was collected across three instruments. Thedemographic questionnaire collected data about participants’ demographic information andacademic background. The Doctoral Student and Development and Outcomes Survey, createdusing the research of Nettles and Millet (2006) and Lovitts (2001), was used to assess thesatisfaction and scholarly engagement of the students’ academic experience20,21. The CareerDecision Self-Efficacy Scale (CDSEC), which was originally derived from the Competence Testportion of the Career Maturity Inventory, included five sub-scales measuring self-appraisal(knowing yourself), occupational information (knowing about careers), goal selection (selectinga job), planning (looking ahead to the future) and problem solving (what

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kenie R. Moses

Tagged Divisions

Computers in Education

were asked tocomplete scales measuring self-efficacy and anxiety at three time points that coincided withmidterm examinations. Multilevel longitudinal modeling (MLM) was used to assess theeffects of the assistive MLEs on problem-solving self-efficacy and anxiety. MLM was alsoused to assess effects of problem-solving self-efficacy (NTSEI) scores and problem-solvinganxiety (PSA) scores on student examination scores. Results showed a significant negativeeffect of CircuitITS on NTSEI scores but a positive significant effect of NTSEI scores onexam scores for both tutors. This research study provides results that are counterintuitive tothe proposed outcome suggesting that CircuitITS produced a reduction in problem-solvingself-efficacy among its

Conference Session

Design in Engineering Education Division: Student Empathy & Human-centered Design

Collection

2019 ASEE Annual Conference & Exposition

Authors

Marsha Maraj, Imperial College London; Colin Paul Hale; Andreas Kogelbauer; Klaus Hellgardt

Tagged Divisions

Design in Engineering Education

’ perceptions of their experiences withintheir Mechanical Design Project module and use this to examine the following researchquestions: 1. To what extent do students believe that their interactions within this module have resulted in academic self-efficacy, peer learning and team efficacy? 2. How does team efficacy impact peer learning and the academic self-efficacy of students within this module? 4Research MethodologyOur research questions were examined using an anonymously self-administered (online),semi-structured questionnaire which evaluated students’ feedback at the end of theirMechanical Design Project module. Twenty-five closed-ended descriptors were used to mapand measure the three

Conference Session

Assessment of Student Learning and Skills

Collection

2019 ASEE Annual Conference & Exposition

Authors

S. Cyrus Rezvanifar, University of Akron; Rouzbeh Amini, University of Akron

Tagged Divisions

Biomedical Engineering

-efficacy that must be considered in educational psychological researchis that it is domain specific: self-efficacy measures are particular to certain tasks in certainsituations [4, 5, 14]. To put it differently, self-efficacy shall be defined and studied for a specifictask and situation, as opposed to a “general” measure for an individual’s behavioral characteristic.Over the past two years, we investigated the hypothesis that project-based active learningtechniques used in a biomedical computing class enhance the computer programming academicand career self-efficacy of undergraduate BME students.MethodThis study was carried out under an official exemption by the Institutional Research Board at theUniversity of Akron. Both project- and problem

Collection

2019 Fall Mid Atlantic States Conference

Authors

Alexander John De Rosa, Stevens Institute of Technology (School of Engineering and Science); Maxine Fontaine, Stevens Institute of Technology (School of Engineering and Science)

. Alexander J. De Rosa & Maxine Fontaine Stevens Institute of TechnologyIntroduction MethodologySpatial visualization skills (SVS) are critical to success in STEM. To answer this question, student affective skills were measured pre-These skills have been correlated with high-level problem-solving and post- workshop using the “Self-Efficacy Formativeability, particularly in science and mathematics. Numerous studies Questionnaire” developed by Erickson & Noonan [3

Conference Session

Women in Engineering Division Technical Session 4

Collection

2019 ASEE Annual Conference & Exposition

Authors

Andrea Nana Ofori-Boadu, North Carolina A&T State University; Dongyang Deng, North Carolina A&T State University; Cheryl Monique Stevens, North Carolina A&T State University; Kayla Gore; Iyshea Borders-Taylor, North Carolina A&T State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

wereattributed to mastery experiences and positive emotional states as the maximum percentage ofgirls who used words related to the four Bandura self-efficacy categories were: masteryexperiences (86%); emotional states (62%); vicarious experiences (59%); and verbal persuasion(36%). The broader 18 emergent themes of girls’ learning experiences included knowledge,doing, national priorities, fun, emotions, sustainability, civic responsibility, mentors, arts, softskills, minority, and persistence. Most girls had positive learning experiences, with sometransitioning from ‘difficult’ to ‘easy’ as they gained mastery experiences. A few girls expresseddifficulty and discomfort with mathematics, measurements, equipment usage, and outdoorenvironments. The

Conference Session

CEED Technical Session II: Developing Research and Design Skills Through Experiential Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Rylan C. Chong, Chaminade University

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education

self-efficacy. In addition, thisstudy examined whether the relationship was different between genders. The students in the classwere from eight universities and worked in teams with a mentor from a government agency orlab who provided them with a real unclassified cybersecurity problem. The study was conductedin 2016 and included a sample of 18 students (males=13 and females=5) who responded to a pre-survey and a post-survey (Cronbach’s alphas for both surveys =.96) that measured researchedself-efficacy using a 100-point Likert scale (0=complete uncertainty and 100=completecertainty). Due to a small sample, a Wilcoxon Signed Rank Test and a Mann-Whitney U Testwere used to analyze the data. As part of the posttest, students were asked open

Conference Session

Engineering Design Process Activities with Secondary Students

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jessica D. Gale, Georgia Institute of Technology; Beth Ann White

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

, provided additional context for theengineering design activities students engaged in as part of the project. Whenever possible, theseshort interviews were audio recorded and transcribed for analysis. When discussions were notrecorded, relevant comments were captured in field notes.Engineering Design Self-Efficacy InstrumentSelf-efficacy was measured using the engineering design self-efficacy instrument [18] which wasadministered online at the beginning and end of the course. This instrument is designed tomeasure students’ self-efficacy as it relates to engineering design generally and to each of thestages of the engineering design process. The full instrument includes a total of thirty-six items,with the same nine items aligned to the engineering

Conference Session

Interest & Identity

Collection

2019 ASEE Annual Conference & Exposition

Authors

Amy Annette Rogers, Delaware State University; J. Jill Rogers, University of Arizona; James C. Baygents, University of Arizona

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

enrolledexhibit an engineering self-efficacy of at least 3.5 out of 5, and over 67% of the students reportthe ENGR 102 HS course increased their interest in becoming an engineer [2, 3, 4]. Teachereffectiveness is also measured and is consistently high year after year with 86% of studentsreporting that their teacher is always or usually effective.With the successful launch of the Advanced Placement (AP) Computer Science course in 2016,engineering educators, NSF and the College Board accelerated the development of anIntroduction to Engineering AP course. College of Engineering deans from across the countrywere surveyed and multiple meetings of engineering thought-leaders and educators wereconvened to decide on a course of action [5]. With these strides to

Conference Session

Informal Engineering Education with Secondary Students

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tameshia Ballard Baldwin, North Carolina State University; Latricia Walker Townsend, North Carolina State University; Braska Williams Jr., North Carolina State University; Angelitha Daniel, North Carolina State University; Javon Marcell Adams, North Carolina State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

discussions with participants. Interviews and focus groupswere digitally recorded and transcribed. A reflective analysis process was used to analyze andinterpret interviews and focus groups.Test of Students’ Science KnowledgeA student science content knowledge assessment aligned to the instructional goals of the researchcourse was developed and administered at the onset and conclusion of each part of the course.S-STEM SurveyThe S-STEM Student Survey measures student self-efficacy related to STEM content, interest inpursuing STEM careers, and the degree to which students implement 21st century learning skills.The survey was administered in a pre/post format at the beginning and end of each project year.FindingsResults are organized by evaluation

Conference Session

It's All About the Student: Integration, Problem Solving, Critical Thinking, and Self-Efficacy

Collection

2019 ASEE Annual Conference & Exposition

Authors

Todd M. Brown P.E., University of Hartford; David Pines, University of Hartford; Don Quinn

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering

is also known as visual-spatial skills and these are different from other forms ofintelligence such as verbal ability, reasoning ability, and memory skills. Spatial skills are linkedto professional and academic success [3], [4]. For example, when designing or constructing apumping station or piping systems within a treatment plant, it is always challenging to develop athree-dimensional mental picture of the space when looking at plan view and section views of aspace. Those who are skilled in developing that clear mental picture make fewer mistakes andare more efficient designers or constructors. Spatial training has been shown to have a strongimpact on developing these visual-spatial skills as measured by success on standardized

Conference Session

It's All About the Student: Integration, Problem Solving, Critical Thinking, and Self-Efficacy

Collection

2019 ASEE Annual Conference & Exposition

Authors

Aliye Karabulut Ilgu, Iowa State University; Suhan Yao, Iowa State University

Tagged Divisions

Civil Engineering

assesses or evaluates his/her own or others’ ideas or contribution to the topic discussed.Even though the number of units for positive indicator of this category was relatively high (148total) the critical ratio was relatively low (0.54) compared to other categories. This indicator wasoften identified when the students accepted or rejected others’ opinions with reasonableexplanations. For example: I see your point but I would say it can't be the case every time. Sometimes a project may not even need the advanced technologies to make it sustainable and it may pass the CHPS standards by using the simple green design measures only. (G3 W3)DiscussionResults of this study indicated small group format enabled students more equally

Conference Session

It's All About the Student: Integration, Problem Solving, Critical Thinking, and Self-Efficacy

Collection

2019 ASEE Annual Conference & Exposition

Authors

Sean Lyle Gestson, Oregon State University; Shane A. Brown P.E., Oregon State University; Matthew Stephen Barner, Oregon State University; Masoud Ghodrat Abadi, California State University, Sacramento; David S. Hurwitz, Oregon State University

Tagged Divisions

Civil Engineering

results show that students use a common set of problem-solving factors thatmotivate and guide the them through the solution process. This research can help engineeringeducators to more holistically understand the problem-solving process of engineering students.References[1] D. Bolden, P. Barmby, S. Raine, and M. Gardner, “How Young Children View Mathematical Representations: A Study Using Eye-Tracking Technology,” Educ. Res., vol. 57, no. 1, pp. 59–79, 2015.[2] A. Elby, “What students’ learning of representations tells us about constructivism,” J. Math. Behav., vol. 19, no. 4, pp. 481–502, 2000.[3] M. Hill and M. D. Sharma, “Students’ Representational Fluency at University: A Cross- Sectional Measure of How

Conference Session

Educational Research and Methods Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Dina Verdin, Purdue University-Main Campus, West Lafayette (College of Engineering); Allison Godwin, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Educational Research and Methods

using the four cognitive processes of forethought,intentionality, self-reactiveness, and self-reflectiveness as outlined by Bandura [6], [11]. The studyby Yoon [25] used the personal agency constructs to examine the relationship between agency,vocational identity, and career decision self-efficacy workforce education and development forundergraduate students broadly. Our search yield no new literature on the development of personalagency measures. Yoon [25] also claimed that before his study, no scale using Bandura’s personalagency constructs had been developed.We used survey items from Yoon’s [25] original scale, making modifications and changes toseveral items. However, we did not adopt Yoon’s [25] survey items for the latent construct self

Conference Session

Experimentation and Laboratory-Oriented Studies Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Matthew Vincent Bartolomeo, The Cooper Union; Amanda Lombardo, The Cooper Union; Michael Colella, The Cooper Union; George J. Delagrammatikas, The Cooper Union

Tagged Topics

Diversity

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

applied to two different drivers on the same track.With this metric, areas for driver improvement could be identified and potentially be used toguide an event-specific driver selection process or personalize driver training.Student learning objectives linked to ABET outcomes are described in the context of how theyare assessed in this course. Results from student self-efficacy surveys and student achievementon assignments are presented and discussed as they apply to ABET outcomes b, g, i, and k.IntroductionAuthentic engineering experiences, such as student competitions, sponsored projects, designclinics, and project-based learning modules have been incorporated broadly within theundergraduate curricula to enhance student learning. The challenges

Conference Session

ERM Technical Session 12: Creativity and Problem Framing

Collection

2019 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University; Kaela M. Martin, Embry-Riddle Aeronautical University, Prescott

Tagged Divisions

Educational Research and Methods

and Equity Research (PEER), The Urban Institute, Washington, DC, 2005.[47] M. T. Jones, A. E. L. Barlow and M. Villarejo, "Importance of Undergraduate Research for Minority Persistence and Achievement in Biology," The Journal of Higher Education, vol. 81, no. 1, pp. 82-115, 2010.[48] M. W. Ohland, C. E. Brawner, M. M. Camacho, R. A. Layton, R. A. Long and e. al., "Race, Gender, and Measures of Success in Engineering Education," Journal of Engineering Education, vol. 100, no. 2, pp. 225-252, 2011.[49] J. A. Raelin, M. B. Bailey, J. Hamann, L. K. Pendleton, R. Reisberg and e. al., "The Gendered Effect of Cooperative Education, Contextual Support, and Self-Efficacy on Undergraduate Retention," Journal of Engineering

Conference Session

ERM Technical Session 12: Creativity and Problem Framing

Collection

2019 ASEE Annual Conference & Exposition

Authors

Lindsey D White, University of New Mexico; Vanessa Svihla, University of New Mexico; Yan Chen, University of New Mexico; Todd Hynson, University of New Mexico; Ian A. Drackert, University of New Mexico; Jordan Orion James, University of New Mexico; Claire Yvonne Saul; Austin C. Megli, University of New Mexico

Tagged Divisions

Educational Research and Methods

reduction of facultytime. To enhance reliability, we worked with instructional designers to develop an online, self-paced training.Introduction and research purposeThe idea of using evidence to inform instruction undergirds faculty development anddepartmental change initiatives, many of which include threading team design challengesthrough core courses. While there are assessments that measure conceptual understanding andsurveys that measure perceptions (e.g., design beliefs, engineering identity, design self-efficacy,team skills, etc.), these provide an incomplete understanding of student individual progress ondesign problem framing ability. Students typically get a lot of practice solving problems, butcomparatively little practice framing

Conference Session

Graduate Student Writing and Communication

Collection

2019 ASEE Annual Conference & Exposition

Authors

Juan M. Cruz, Virginia Tech; Mayra S. Artiles , Virginia Tech; Holly M. Matusovich, Virginia Tech; Gwen Lee-Thomas, Quality Measures LLC; Stephanie G. Adams, Old Dominion University

Tagged Topics

Diversity

Tagged Divisions

Graduate Studies

intended to imply a degree of severity or sequential progression. The first obstacle categorywas the task of writing the dissertation. Students facing this obstacle were commonly in the veryfinal stages and described experiencing ‘writer’s block’ or inability in expressing their researchresults in writing. The second category was students who believed they lacked motivation.These students expressed a lack of self-efficacy in being able to commit to the work necessary tocomplete the degree. They described often procrastinating because they no longer wanted toconduct the research (or related activities), and in more advanced cases, inability to communicateclearly with the doctoral advisor. The third category was students that struggled in

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Behin Elahi, Indiana University Purdue University, Fort Wayne

Tagged Divisions

Industrial Engineering

factors and found the best setting forfactor level which results in higher yield. In the second project, they were asked to determine apotential optimized structure of 3D-printed material to be used for future space suits. Theydesigned different structures and analyzed the fabric strength versus fabric shape and structureusing tensile test. The uniqueness of this project learning paper is the key findings from the studyand the associated survey. They demonstrate that the project-based learning approach improvesthe students’ attitudes towards engineering, results in higher-order cognitive learning, booststheir self-efficacy, enhances learning through high retention of the learning material and thesubject matter, strengthens team working and

Conference Session

Graduate Student Writing and Communication

Collection

2019 ASEE Annual Conference & Exposition

Authors

Sarah Jane Bork, University of Michigan; Joi-lynn Mondisa, University of Michigan

Tagged Divisions

Graduate Studies

that social support, such as having regular contact with friends or having ahigher functioning relationship with one’s advisor, decreases graduate and professional students’needs [4]. This literature, overall, shows how social support can influence student mental health.This paper, therefore, is focusing on graduate student’s ability to engage in these socialinteractions. To do so, the three following measures are being pursued: self-sufficiency, sense ofbelonging, and social self-efficacy. Self-sufficiency for this study is being defined as an individual’sability to operate independently on a day-to-day basis. In this context, this could be perceived as astudent’s ability to perform their daily work duties as well as any social obligations

Conference Session

NSF Grantees Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tobin N. Walton, North Carolina A&T State University; Stephen B. Knisley PhD, North Carolina A&T State University; Matthew B. A. McCullough, North Carolina A&T State University

Tagged Topics

NSF Grantees Poster Session

. c American Society for Engineering Education, 2019 Model Building in Engineering Education This paper reports on research that is part of a lager project taking place at a mid-sizedpublic HBCU funded through the National Science Foundation’s Revolutionizing Engineeringand computer science Departments (RED) program. The purpose of the RED program is toencourage and support innovation projects that develop new, revolutionary approaches andchange strategies that enable the transformation of undergraduate engineering education [1]. Avital component of this particular RED project involves the development and validation ofsurvey-based measures of Engineering Values, Self-Efficacy, and Identity: and a model thatcombines

Conference Session

Design in Engineering Education Division: Design Mental Frameworks

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jenni Buckley, University of Delaware; Amy Trauth, University of Delaware; Sara Bernice Grajeda, University of Delaware; Dustyn Roberts P.E., Temple University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

significantly higher self-efficacy for tinkering and engineering applications than females. (2) Students from majority groups (i.e., White or Asian) would report significantly higher self-efficacy for tinkering and engineering applications and higher self-confidence in math and science than those from underrepresented minority groups (non-White, non- Asian).MethodsWe developed and validated a composite survey that merged items from the APPLES instrument[6,10,14], which focuses on self-confidence in interpersonal skills, problem solving, and mathand science theory, with an established but unvalidated instrument [15] that measures self-efficacy in “tinkering” – that is, prototyping and modeling – and the application of

Conference Session

First-Year Programs: Focusing on Student Success

Collection

2019 ASEE Annual Conference & Exposition

Authors

Melissa Lynn Morris, West Virginia University; Robin A. M. Hensel, West Virginia University; Joseph Dygert, West Virginia University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

administered X X X MSLQ X X X X XThe GRIT survey is a questionnaire consisting of 12, 5-point Likert scale (1 = not gritty to 5 =very gritty) questions that were developed by Angela Duckworth from the Department ofPsychology at the University of Pennsylvania. [23]. Duckworth has identified grit as a unique trait,defining it as “perseverance and passion for long term goals” [22].During the first-year, students’ academic self-efficacy has been directly related to academicperformance [10]. Among other things, the LAESE survey measures a student’s academic self-efficacy. The LAESE survey instrument is a validated instrument developed via the NSF

Conference Session

Assessment of Student Learning and Skills

Collection

2019 ASEE Annual Conference & Exposition

Authors

William H. Guilford, University of Virginia

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering

measured using the 36-item “Engineering design self-efficacy instrument” [12] – that is, whether students feel: 1. Able, and 2. Motivated to engage in certain engineering design tasks, whether they will be 3. Successful in doing so, and how 4. Apprehensive they would be in performing such tasks. These tasks included: 1. Conduct engineering design 6. Prototype the solution 2. Identify a need 7. Test a design 3. Conduct research 8. Communicate 4. Develop solutions 9. Iterate the process 5. Select the best design A three-level Likert scale was