Conference Session

Electrical and Computer Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Electrical and Computer

Paper ID #22397A Study on Measuring Self-efficacy in Engineering Modeling and DesignCoursesDr. Muhammad Safeer Khan, Arkansas Tech University Muhammad Khan received Ph. D. degree in Electrical and Computer Engineering from the University of North Carolina at Charlotte, Charlotte, NC, USA in 2013. He is an Assistant Professor in the De- partment of Electrical Engineering at Arkansas Tech University (ATU). His research interests include signal processing for audio and acoustics, Wireless Communications, Internet of Things applications, non-destructive evaluation, engineering and integrated STEM education and K-12 and higher

Conference Session

Teacher Attitudes, Beliefs, & Self-efficacy

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jessica Lauren Sargent, Purdue University, West Lafayette; Beth M. Holloway, Purdue University, West Lafayette; Susan R. Bayley, Purdue University, West Lafayette; Anna Veronica Walter, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

for pre-service teachers, there was no direct measure of self-efficacy, although the investigatorspostulate that confidence is related to self-efficacy [1]. Another study found that there are manyfactors that may encourage or discourage pre-service teachers from implementing open-endeddesign activities during their teacher training [3]. Most commonly cited reasons for notincorporating such projects included lack of host teacher support [3]. It is suggested that usingopen-ended design projects to lead to more formal scientific inquiry may be beneficial for bothelementary students and elementary teachers who lack content knowledge in science [3]. Neitherof these studies directly evaluates the self-efficacy of pre-service teachers, although they

Conference Session

Teacher Attitudes, Beliefs, & Self-efficacy

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rebekah J. Hammack, Albert Einstein Distinguished Educator Fellowship Program

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

instrument used to measure teachers’ perceptions ofengineering and familiarity with teaching engineering, engineering design, and technology. Priorto data analysis in the current study, the internal consistency of the Barriers to Integrating DETsubscale was determined using Chronbach’s α. The Chronbach’s α for the current study of α =0.63 was slightly lower than the value of α = 0.68 reported by Hong et al. [13]. Texas Poll of Elementary School Teachers. The Texas Poll of Elementary SchoolTeachers was a phone interview questionnaire designed to gather information that could be usedto improve science teaching at the elementary level [14]. For the current study, questions 3, 4, 5,6, 9, 10, 26, and 27 of the Texas Poll were modified by replacing

Conference Session

Teacher Attitudes, Beliefs, & Self-efficacy

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tamara J. Moore, Purdue University, West Lafayette; Siddika Selcen Guzey, Purdue University, West Lafayette; Amanda C. Johnston, Purdue University, West Lafayette; Murat Akarsu, Purdue University, West Lafayette; Peter Wesley Odom, Purdue University, West Lafayette; Maurina Loren Aranda, Purdue University, West Lafayette; Richard Lie, Purdue University, West Lafayette

Tagged Divisions

Pre-College Engineering Education

curriculumwriting portion of the EngrTEAMS: Engineering to Transform the Education of Analysis,Measurement, and Science Project. There were nine teachers that participated in all three years.Of these nine, seven had pre-interview data. These seven were invited to participate in thefollow-up interview. Six of the seven responded to our request for an interview. Table 1 providesan overview of the teachers’ demographics. Pseudonyms have been used to preserve the identityof the teachers.Table 1 Participant Background Years of Grade(s) Teaching Teacher Degree experience* taught assignment School information

Conference Session

Postcard Session: Experiential Learning as a High-Impact Student Experience

Collection

2018 ASEE Annual Conference & Exposition

Authors

Addison J. Litton, Utah State University ; Wade H. Goodridge, Utah State University; Benjamin James Call, Utah State University; Sarah E. Lopez, Utah State University

Tagged Divisions

Cooperative and Experiential Education

. Interview data was collected, transcribed, and coded. Results of thecoding process are analyzed and shared.The authors define self-efficacy as a psychological measure of the confidence an individual hastoward their abilities in a specific activity. It is a generative ability that can be developed in anindividual through experiences such as mastery experiences and vicarious experiences. Masteryexperiences pertain to activities or tasks in which the individual is personally engaged that canhelp them develop expertise in a particular field, whereas vicarious experiences are experiencesthe individual has witnessed that can provide insight. These experiences can have either positiveor negative effects on the self-efficacy of an individual. A high level

Conference Session

First-year Programs Division: Self Efficacy

Collection

2018 ASEE Annual Conference & Exposition

Authors

Joshua L. Hertz, Northeastern University

Tagged Divisions

First-Year Programs

naturally uncomfortable towork on open-ended problems, because it feels risky to proceed along an ambiguous solutionpath. Nevertheless, some students seem to be more confidently uncomfortable, ready and willingto begin working on open-ended problems. We sought in this study to understand the factors thatmake a student better able to begin work on these projects without directed guidance from theinstructor. Here, this student ability is ascribed to, in part, a student’s ambiguity tolerance andself-efficacy on open-ended problems. A survey instrument to measure ambiguity tolerance and self-efficacy on open-endedproblems was created and subject to internal validation. Students taking a 2-course sequence ofrequired, foundational courses over

Conference Session

First-year Programs Division: Self Efficacy

Collection

2018 ASEE Annual Conference & Exposition

Authors

Stacey Leigh Kelly, Virginia Tech; Darren K. Maczka, Virginia Tech; Jacob R. Grohs, Virginia Tech

Tagged Divisions

First-Year Programs

has shown to be related to students’ choice to leaveengineering. Jones et al. [8] found that engineering belonging was the most significant predictor of first-yearengineering students’ intention to remain in their selected engineering major.Engineering program expectancy. Expectancy is a subjective evaluation of one’s competence in a particulardomain.19 Self-perceptions of competence are central to many theories in the field of motivation, such as self-concepttheory,20 self-efficacy theory,21 and expectancy-value theory.16 An individual’s expectancy beliefs are influenced bymany factors including past experiences (e.g. how well they performed in a high school math class), the influences ofsocializers (e.g., parents, teachers and peers) and

Conference Session

First-year Programs Division: Self Efficacy

Collection

2018 ASEE Annual Conference & Exposition

Authors

Brenda Read-Daily, Elizabethtown College; Kurt M. DeGoede, Elizabethtown College; Stacey L. Zimmerman, Elizabethtown College

Tagged Divisions

First-Year Programs

] [7].Other tools that are helpful in developing self-awareness are the Myers-Briggs Type Indicator(MBTI), the DiSC profile, and the Kolb Learning Style Inventory. These inventories all measuredifferent aspects of an individual; CSF measures natural talent, MBTI measures preferred modesof psychological processing, DiSC measures behavioral style, and Kolb measures individuallearning styles [8]. Our campus chose to utilize the CSF as our primary tool because of Gallup'sspecific focus on college students with their StrengthsQuest platform. This platform utilizes thesame inventory (CSF), but the information provided after taking the inventory is geared towardstudents.Within the Engineering education community, MBTI has been widely used in team

Conference Session

First-year Programs Division: Self Efficacy

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tanya Dugat Wickliff, Texas A&M University; So Yoon Yoon, Texas A&M University; Jacques C. Richard, Texas A&M University; Noemi V. Mendoza Diaz, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

. AcknowledgementThis work was conducted under the auspices of the National Science Foundation (NSF) undergrant number EEC-1640521. However, any items expressed in this paper do not necessarilyrepresent the views of NSF or its affiliates.ReferencesBandura, A. (1977). Self-Efficacy: Toward a Unifying Theory of Behaviorial Change. Psychological Review, 84(2), 191-215.Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122-147.Engineering Accreditation Commission (2015). Criteria for accrediting engineering programs: Effective for reviews during the 2016-2017 accreditation cycle. Baltimore, MD: ABETFantz, T. D., Siller, T. J., & DeMiranda, M. A. (2011). Pre-collegiate factors influencing the self

Conference Session

Motivation, Attitudes, and Beliefs

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, Purdue Polytechnic Institute; Nathan Mentzer, Purdue Polytechnic Institute; Rebecca Kramer-Bottiglio, Yale University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Black college oruniversity. Carrico and Tendhar [17] also reported evidence of a significant correlation betweenstudents’ self-efficacy, interest, and goals to pursue engineering. While these two studies usedifferent variables to approximate students’ choice, the predictive utility of self-efficacy andinterest is strengthened when the variables are used together.Using this lens of parallel measures, this paper analyzes the content and year one implementationresults of a 9th-grade design curriculum intended to grow students’ self-efficacy, interest, andcareer choice for engineering. Following our research team’s year-long curriculum developmentprocess, we have now been involved in the implementation process of soft robot design lessonsas they

Conference Session

Women in Engineering Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Suzanne Zurn-Birkhimer, Purdue University, West Lafayette (College of Engineering); Mayari I. Serrano, Purdue Polytechnic Institute; Rachel Ann Baker

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

personal impact of the conferenceand included questions related to conference usefulnesses, self-esteem, self-efficacy, and programlogistics, as well as feedback about the overall conference experience. The Heatherton and Polivy 11State Self-Esteem Scale (SSES) was specifically designed to measure state self-esteem, which isdefined as the temporary fluctuations in self-esteem. The SSES is generally considered to be astable qualitative measure that is psychometrically sound and valid in laboratory, classroom, andclinical settings 11 . Table 1 lists the 14 questions from the SSES utilized by this study to measurethe self-esteem subcategories of academic performance (seven questions) and social confidence(seven questions). A 5-point Likert scale was

Conference Session

Middle School Students' Engineering Identity, Efficacy, Attitudes, and Perceptions

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jessica D. Gale, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Jeremy Lingle, Georgia Institute of Technology; Sunni Haag Newton, Georgia Institute of Technology; Roxanne A. Moore, Georgia Institute of Technology; Jeffrey H. Rosen, Georgia Institute of Technology

Tagged Divisions

Pre-College Engineering Education

ofdescriptive sub-codes, such as student discussion of particular stages within the engineeringdesign process or sources of self-efficacy, and magnitude codes, such as student responsesindicative of various levels of understanding. Following coding, interview data were thendescribed using conceptually clustered matrices [32] in order to illustrate variations in patternsbetween students and across the two years for each student. These patterns were thentriangulated with students’ engineering design logs and results from an engineering designprocess assessment and a measure of academic self-efficacy (described below) to confirmwithin- and between-case patterns.Engineering Design Process LogsEngineering Design Process (EDP) Logs for two focal students

Conference Session

Making, Hacking, and Extracurricular Design

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shaunna Fultz Smith, Texas State University; Kimberly Grau Talley P.E., Texas State University; Araceli Martinez Ortiz, Texas State University; Vedaraman Sriraman, Texas State University

Tagged Divisions

Design in Engineering Education

notrequired to take the course, rather they chose to take it as an elective to accompany theireducational technology program courses. They were not required to participate in the researchportion of the course; however, all ten participants did sign IRB-approved consent forms toindicate their willingness to participate.Data Collection and AnalysisPre-/Post-test administration of the Engineering Design Self-Efficacy (EDSE) survey instrument(Carberry, Lee, & Ohland, 2010) serves as the primary data set. The EDSE was chosen for thisstudy because it is a validated instrument for measuring task-specific self-concepts, whichCarberry, Lee, and Ohland (2010) state are “any variable concerning the understanding anindividual has of him or herself for a

Conference Session

FPD and DEEDs Joint Postcard Sessions

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jessica Daniels; Sophia T. Santillan, Duke University; Ann Saterbak, Duke University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education, First-Year Programs

aspirations, level of motivation, andacademic accomplishments” [8]. In the context of engineering, this is essential as students navigatetechnically challenging coursework and rigorous workloads. Self-efficacy has a strong relationshipto both learning and achievements. As Mamaril et al. state, it is most effective to measure self-efficacy at both the general engineering field level and the specific technical skill level [9].Evaluating at these different levels yields a more comprehensive understanding of a student’sconfidence in their overall engineering abilities. A major contributor to a student’s self confidence in completing engineering tasks is theirperceived proficiency in technical skills. Usher et al. investigated students in

Conference Session

Minorities in Engineering Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Abisola Coretta Kusimo, Stanford University - Mechanical Engineering Dept.; Marissa Elena Thompson, Stanford University; Sara A. Atwood, Elizabethtown College; Sheri Sheppard, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

Engineering Students Through an Intersectional LensAbstractHigh-impact academic experiences, particularly research and internship experiences, havepositive impacts for engineering students on engineering task self-efficacy (ETSE), a measure ofstudents’ perception of their ability to perform technical engineering tasks. However, under-represented racial/ethnic minority students (URM) and women in engineering are found to haverelatively lower self-perceptions across several academic and professional self-efficacymeasures. Previous studies examined the impact of research and internship experiences on ETSEfor students categorized by gender and URM status separately. The current study explores theimpact of these experiences on ETSE for the intersection

Conference Session

Robotics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Abhidipta Mallik, New York University; Sheila Borges Rajguru, New York University; Vikram Kapila, New York University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

design tasks also include quantifying and analyzing differences in the self-efficacy held by individuals with a range of engineering experiences. Prior studies on self-efficacyin engineering design tasks have also examined how the self-efficacy values differ with genderand background of the participants [27,33].In this effort, our focus was to measure the change in self-efficacy values before and after thetraining with the objective of improving our PD. For this reason, we did not consider any genderand background related studies, instead we performed a generalized study. This survey had foursections for rating an individual’s perceived confidence, motivation, success expectation, andanxiety in performing several portions of the project-based

Conference Session

Women in Engineering Technical Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrea Nana Ofori-Boadu, North Carolina A&T State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

Paper ID #21489Improving Middle-School Girls’ Knowledge, Self-Efficacy, and Interests in’Sustainable Construction Engineering’ through a STEAM ACTIVATED! pro-gramDr. Andrea Nana Ofori-Boadu, North Carolina A&T State University Dr. Ofori-Boadu is an Assistant Professor with the Department of Built Environment at North Carolina A & T State University. Her research interests are in bio-modified cements, sustainable development, and STEM education. Dr. Ofori-Boadu has served in various capacities on research and service projects, including Principal Investigator for two most recent grants from the Engineering Information

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tameshia Ballard Baldwin, North Carolina State University; Angelitha Daniel, North Carolina State University; Braska Williams Jr., Newport News Public Schools; LaTricia Walker Townsend, North Carolina State University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

InterviewsMSEN teachers, student participants, and mentors participated in either focus groups or interviewsto determine the program’s impact on the items outlined in the evaluation criteria. Semi-structuredinterview protocols were used to guide 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

Conference Session

Problem Solving, Adaptive Expertise, and Social Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Janna H. Ferguson, Northeastern University; Jennifer Lehmann, Northeastern University; Yevgeniya V. Zastavker, Franklin W. Olin College of Engineering; Susan Chang, Northeastern University; Reid P. Higginson, Harvard University; Cigdem P. Talgar, Northeastern University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

], as well as self-efficacy and resilience. Therevised scale included modified items from Fisher and Peterson’s 2001 survey [20], additionalitems of our own construction, and several items based on work by van der Heijden [33],Charbonnier-Voiirin et al., [36], Bohle Carbonell et al., [35], and the General Self-Efficacy Scale(GSES-12) [37], [38].We were guided to include domain skills by the near-consensus in the adaptive expertiseliterature that adaptive expertise is built on top of subject-specific routine expertise. Ourproposed domain skill items address student perception of growth in their field, as well as theirability to pursue expertise and integrate new developments in the field [33], [35]. Innovativeskills by contrast focus on student

Conference Session

Problem Solving, Adaptive Expertise, and Social Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Carolyn Plumb, Montana State University; Rose M. Marra, University of Missouri; Douglas J. Hacker, University of Utah; John Dunlosky

Tagged Divisions

Educational Research and Methods

Research, 16, 235-239.Atman, C., Adams, R., Cardella, M., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners, Journal of Engineering Education 96(4), 359-379.Atman, C. J., & Bursic, K. M. (1998). Verbal protocol analysis as a method to document engineering student design process. Journal of Engineering Education, 87(2), 121-132.Ball, L. J., Ormerod, T. C., & Morley, N. J. (2004). Spontaneous analogizing in engineering design: A comparative analysis of experts and novices. Design Studies, 25(5), 495-508.Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28, 117-148

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Debra A. Major, Old Dominion University; Katelyn R. Reynoldson M.S., Old Dominion University; Xiaoxiao Hu, Old Dominion University; Seterra D. Burleson, Old Dominion University; Kristi J. Shryock, Texas A&M University

Tagged Topics

NSF Grantees Poster Session

an undergraduateengineering program at a large southwestern university. Students were invited to respond toonline surveys using a link sent to their university email address. Participants were surveyedthree times during their first year: prior to entering the engineering program (Survey 1), at theend of their first semester (Survey 2), and at the end of their second semester (Survey 3).Students were given time during summer orientation and during class to complete these surveys.In total, a sample of 2473 participants was used to develop and validate a 5-item engineeringidentity measure, with Surveys 1, 2, and 3 consisting of 1900, 1083, and 481 respondents,respectively.MeasuresEngineering identity and engineering self-efficacy, the belief

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Brock J. LaMeres, Montana Engineering Education Research Center; Jessi L. Smith, Montana State University

Tagged Topics

Diversity, NSF Grantees Poster Session

). “The role of interest in understanding the career choices of female and male college students,” Sex Roles, vol. 44, pp. 295-320. 2001.National Academy of Engineering. (2004). “The Engineer of 2020: Visions of Engineering in the New Century,” National Academies Press, Washington, D.C, 2004.Ponton, M. K., Edmister, J. H., Ukeiley, L. S. & Seiner, J. M. (2001). “Understanding the role of self- efficacy in engineering education,” Jnl of Engineering Education, vol. 90, no. 2, pp. 247-251, 2001.Priniski, S. J., Hecht, C. A. & Harackiewicz, J. M. (2017). “Making Learning Personally Meaningful: A New Framework for Relevance Research,” The Jnl of Experimental Education, vol. 86, no. 1, October 18, 2017

Conference Session

Cognitive Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Benjamin David Lutz, Oregon State University; Allyson Jo Barlow, Oregon State University; Nathaniel Hunsu, University of Georgia; Cassandra J. Groen, Virginia Tech; Shane A. Brown P.E., Oregon State University; Olusola Adesope, Washington State University; Denise Rutledge Simmons P.E., Virginia Tech

Tagged Divisions

Educational Research and Methods

Education Conference (FIE), 2016 IEEE.Smith, K. A., Sheppard, S., Johnson, D. W., & Johnson, R. T. (2005). Pedagogies of engagement: Classroom‐based practices. Journal of Engineering Education, 94(1), 87- 101.Walker, C. O., Greene, B. A., & Mansell, R. A. (2006). Identification with academics, intrinsic/extrinsic motivation, and self-efficacy as predictors of cognitive engagement. Learning and individual differences, 16(1), 1-12.Wang, X., Yang, D., Wen, M., Koedinger, K., & Rosé, C. P. (2015). Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains. International Educational Data Mining Society.Weinstein, C. (1986). The teaching of learning strategies

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tobin N. Walton, North Carolina A&T State University; Robin Guill Liles, North Carolina A&T State University

Tagged Topics

Diversity, NSF Grantees Poster Session

increases in short and long-term student learning are mediated by experiences thathelp students identify needs and develop design solutions (i.e., developmentally instigativebehaviors). These experiences in turn enhance students’ valuation of engineering, beliefs aboutcapabilities, and identification as an engineer; motivating future behaviors. Like a cyberneticsystem then [29], these processes repeat and are self-regulating. Several basic hypotheses will beused to assess both the validity of the scales used to measure engineering values, self-efficacy,and identity and the plausibility of this theoretical framework. Students who engage in moreengineering related activities (e.g., attending an engineering conference, facilitated study group,or

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Debapriyo Paul, Texas A&M University; Bimal P. Nepal, Texas A&M University; Michael Johnson, Texas A&M University

Tagged Topics

Diversity, NSF Grantees Poster Session

summerresidential program geared towards providing high school teachers with insights into the latest inmanufacturing research. The goal was to improve their beliefs and attitudes regarding STEMeducation so that they would feel more capable to impart similar technical information to theirstudents.The next section of this paper (Literature Review) provides an overview of several paperspublished in the area of teaching self-efficacy, its relationship with STEM education, and theinstruments that have been used for its measurement. The Research Design section describes indetail the methodology and instruments used for the purpose of this study. The Data Analysissection provides a description of the data used for this study and the results of the

Conference Session

Women in Engineering Division Technical Session 6

Collection

2018 ASEE Annual Conference & Exposition

Authors

Laura K Alford, University of Michigan; Valeria Bertacco, University of Michigan

Tagged Divisions

Women in Engineering

example, student agreement/disagreement with “I believe that other students in computerprogramming courses will be welcoming of me” could have a disproportionately large effect onthe number of women deciding to major in computer science/computer engineering.After improving the survey process based on recommendations from the initial study, weembarked on a 5 year program to gather data and assess the gender differences in two sequentiallarge programming courses. Our overarching research question is: Do women and men show astatistically significant difference in their perceptions of their abilities and learning environmentas measured by self-efficacy, intimidation by programming, and feelings of inclusion?This paper will present the first set of

Conference Session

Construction Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrea Nana Ofori-Boadu, North Carolina A&T State University

Tagged Topics

Diversity

Tagged Divisions

Construction Engineering

Test of Scientific Literacy Skills (TOSLS) was developed to measures skill related tomajor aspects of scientific literacy [13]. The TOSLS test had multiple-choice questions, and thestudents were required to circle the best responses to the test items. Also, the test items areclassified into several SL categories and data analysis of these categories gave greater insightsinto specific SL skills. The surveys utilized a 5-point Likert scale that allowed the students toself-report and provide a rating on various SL and self-efficacy statements listed in the survey.The students also provided short statement responses to open ended questions. During focusgroup sessions, the students shared the opinions and suggestions to improve their SL

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robin Tuchscherer P.E., Northern Arizona University; Christine Allison Gray, Northern Arizona University; John Tingerthal P.E., Northern Arizona University; Ron Gray, Northern Arizona University

Tagged Topics

Diversity, NSF Grantees Poster Session

designed to positively impact the retention of engineeringmajors in early career engineering courses. We build on prior work in this area through our focuson two important aspects of classroom instruction: classroom community and relevancy. In thistwo-year project, faculty from engineering and science education have teamed together to design,implement, and study a number of interventions related to classroom community and relevancy.As proxies for retention, we used three measures to examine specific constructs: engineeringidentity, engineering self-efficacy, and sense of community. In addition, we used the COPUSobservational protocol to examine instructional differences between treatment and controlcourses.In the first two iterations of the

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Srujal Patel, Georgia Institute of Technology; Maria-Isabel Carnasciali, University of New Haven; Melissa L. Whitson, University of New Haven; Daniel Patrick Schrage, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

-efficacy scale, Riggs and Enochs’ [13]science teaching efficacy beliefs, Bandura’s [14] teacher self-efficacy scale and the Tschannen-Moran and Hoy’s [15] Ohio State teacher efficacy scale.Students' responses to the measures of math/science self-efficacy, math/science outcomeexpectations, and critical thinking were examined over time to see if there were significantchanges from the pre-test completed prior to the camps to the post-test that was completed at theend of the two-week camps. Of the 98 students who completed the pre-test surveys, 67 hadmatching post-test data for analyzing changes on the outcome variables over time. Resultsrevealed that students exhibited statistically significant increases in two of the three variables.Over the two

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 5

Collection

2018 ASEE Annual Conference & Exposition

Authors

Antti Oskari Surma-Aho, Aalto University; Tua A. Björklund, Aalto University; Katja Holtta-Otto, Aalto University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation

-sectionally [1], but also showed an increase in innovativeness when it wasmeasured before and after a project course [2] as well as when measured longitudinally for thesame group of students [3]. These mixed results indicate that a deeper understanding is neededabout the factors influencing the development of innovativeness in engineering students.Recently, two constructs have received special attention with regards to engineer innovativeness:empathy and self-efficacy, i.e. feeling and understanding the experiences of others and believingin one’s own ability to perform tasks. Research suggests that empathy in engineering and designcomprises of intrinsic skills, observable actions, and a holistic mindset [4], and can helpdesigners understand and care