Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hannah Kolar, Arizona State University; Adam R Carberry, Arizona State University; Ashish Amresh, Arizona State University

Tagged Divisions

Educational Research and Methods

ToolAbstractThis study was based around the creation of a tool to measure students computing self-efficacy. The tool was an eight-question survey that was validated using content andcriterion-related validity. Content validity was conducted to make sure that the questionsrelated to each other and related to the subject of computing self-efficacy. Criterion-related validity allowed us to validate that our tool could test people with different levelsof computing skills based on previous experience. The study allowed us to furthervalidate our tool as well as analyze the computing self-efficacy of 270 students inscience, technology, engineering, and mathematics (STEM) majors.IntroductionUniversities play a key role in creating future innovations and providing

Conference Session

Measurement Tools

Collection

2009 Annual Conference & Exposition

Authors

Adam Carberry, Tufts University; Matthew Ohland, Purdue University; Hee-Sun Lee, Tufts University

Tagged Divisions

Educational Research and Methods

and development of science curriculum, technology, and assessment that can help middle and high school students develop an integrated understanding across topics and disciplines over time. Page 14.450.1© American Society for Engineering Education, 2009 Developing an Instrument to Measure Engineering Design Self-Efficacy: A Pilot StudyKeywords: self-efficacy, engineering designAbstractThe following pilot study is an investigation of how to develop an instrument thatmeasures students’ self-efficacy regarding engineering design. 36 items weredeveloped and tested using three types of validity evidence

Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Rachel McCord, Virginia Tech; Holly M Matusovich, Virginia Tech

Tagged Divisions

Educational Research and Methods

as repeating questions thatwere reverse coded. The final Motivation section for the Phase 1 Survey contains 25 questions that cover 8motivation constructs: extrinsic and intrinsic motivation, interest, attainment value, cost value,identification with academics, self-efficacy and instrumentality. All constructs are measured on a7-point Likert scale ranging from not true at all (1) to very true (7).Developing the Learning Strategies Section To develop an appropriate survey to measure learning strategies used in collegethermodynamics courses, we started with a literature review to identify existing learningstrategies instruments. The following learning strategies inventories were considered for the

Conference Session

Entrepreneurship and Inventive Thinking & Student Beliefs

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ying Wang, Georgia Institute of Technology; Joy Harris; Karthik Ramachandran, Georgia Institute of Technology

Tagged Divisions

Educational Research and Methods Division (ERM)

HarrisKarthik Ramachandran, Georgia Institute of Technology ©American Society for Engineering Education, 2023 Measuring Engineering Students’ Entrepreneurial Self-Efficacy in an Entrepreneurship Education ProgramAbstract In this research paper, we developed and examined an Entrepreneurial Self-Efficacy forEngineering Students (ESE-E) instrument. Entrepreneurial self-efficacy refers to individuals’perceived capabilities to perform entrepreneurial tasks and produce entrepreneurial-relatedoutcomes. It is critical to develop and test the measurement of entrepreneurial self-efficacy withthe engineering student population. Further, entrepreneurship education programs are increasingand play a crucial

Conference Session

Educational Research and Methods (ERM) Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Jacob Marszalek, University of Missouri - Kansas City; Michelle Maher, University of Missouri - Kansas City

Paper ID #37178A Measure of Problem-Solving Self-Efficacy forUndergraduate Engineering StudentsJacob Marszalek Professor, Department of Psychology, UMKC Interim Associate Dean, School of Education, UMKCMichelle Maher (Professor) © American Society for Engineering Education, 2022 Powered by www.slayte.comA Measure of Problem-Solving Self-Efficacy for Undergraduate Engineering StudentsThis Work-In-Progress examines higher education’s struggles to increase the retention rate ofengineering students despite scholarly attention and government funding

Conference Session

Exploring the Entrepreneurial and Innovation Mindset

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mark Schar, Stanford University; Shannon Katherine Gilmartin, Stanford University; Angela Harris, Stanford University; Beth Rieken, Stanford University; Sheri Sheppard, Stanford University

Tagged Divisions

Entrepreneurship & Engineering Innovation

Paper ID #18064Innovation Self-Efficacy: A Very Brief Measure for Engineering StudentsDr. Mark Schar, Stanford University The focus of Mark’s research can broadly be described as ”pivot thinking,” the cognitive aptitudes and abilities that encourage innovation, and the tension between design engineering and business management cognitive styles. To encourage these thinking patterns in young engineers, Mark has developed a Scenario Based Learning curriculum that attempts to blend core engineering concepts with selected business ideas. Mark is also researches empathy and mindfulness and its impact on gender participation in

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

Engineering Education Research Practices and Community

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Javeed Kittur, Arizona State University; Samantha Ruth Brunhaver, Arizona State University

Tagged Divisions

Educational Research and Methods

studies of new engineering pedagogy that help to improve student engagement and understanding. c American Society for Engineering Education, 2020 Developing an Instrument to Measure Engineering Education Research Self-EfficacyAbstractThis research paper focuses on the design and development of a survey instrument to measureengineering education research self-efficacy (EERSE), or the self-perceived ability to conductresearch in the area of engineering education. A total of 28 items were initially written to measurethis construct along three dimensions: general research tasks such as synthesizing literature andpresenting research findings at a conference (12 items

Conference Session

Two-year College Division: Authors Address Transfer Matters-Part I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Carl Whitesel, Mesa Community College; Adam R. Carberry, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Two Year College Division

c American Society for Engineering Education, 2015 Measuring Community College Student’s Self-Efficacy toward Circuit AnalysisIntroductionDC circuit analysis has been identified in the literature as being particularly difficult for studentsto learn1,2,3. Research on the difficulties students face regarding this topic focuses solely on 4-year university students, which neglects students studying this topic in alternative institutionslike community colleges. The one common link between research on university and communitycollege students is self-efficacy. This is rooted in the fact that many strategies to increasestudent interest, achievement, retention and persistence in both engineering and

Conference Session

Influences on Female Interest in Pursuit of STEM Fields

Collection

2008 Annual Conference & Exposition

Authors

James Concannon, University of Missouri, Columbia; Lloyd H. Barrow, University of Missouri

Tagged Divisions

Minorities in Engineering

imaginepossible situations and respective outcomes for performing successfully and unsuccessfully; 3) aperson’s ability to learn though observing others; 4) a person’s influence by verbal persuasionsfrom external sources; 5) psychological states; and 6) emotional states 3.In the early 1980s and into 1990s, the self-efficacy construct was taken from Bandura’s initialdefinition and tied to a person’s confidence in passing a course, finishing an engineering degreeprogram, or one’s confidence in finding a job that he or she will like. In 1981, Betz and Hackett4, 5 established field of occupational self-efficacy research, where a person’s confidence in careerrelated pursuits. Lent 6 established the first academic milestones measure of self-efficacy, a

Conference Session

Student Attitudes and Perceptions

Collection

2010 Annual Conference & Exposition

Authors

Tuba Yildirim, University of Pittsburgh; Mary Besterfield-Sacre, University of Pittsburgh; Larry Shuman, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

iterations and updates to their solution methodology (process). A student with highlevels of self-efficacy should, in theory, persist longer in modeling iterations and perform betterin creation of conceptual and calculational models. In contrast, low self-efficacy may inhibit thestudent’s effort even when the skill is present leading to discouragement.A common approach to measure self-efficacy, particularly in the context of student work, hasbeen to ask students to what extent they believe they can perform a certain task. However, asself-efficacy is task dependent and there is no common single method to measure it, we proposethat a separate scale needs to be developed for modeling. This is particularly true forengineering students; as how self

Conference Session

Entrepreneurship & Engineering Innovation Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Carolin Christin Dungs, Stanford University; Sheri Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

Entrepreneurship & Engineering Innovation

data on the ISE.6measure, as well as statistical outliers in ISE.6, where outliers were extreme cases that werevery different from the other responses. Those cases were identified, i.e., the mean and weredetected using the SPSS boxplot function, and excluded in order to avoid any bias in thestatistical analyses,4.2 Innovation Self-EfficacyThe innovation self-efficacy measure consists of six items that correspond to Dyer’s fivediscovery skills, important for innovative behavior: Associating, Questioning, Observing,Experimenting and Networking (Dyer et al., 2011a). The items are shown in Table 1.Table 1: Mapping of Self-Efficacy Items in the Engineering Majors Survey to Dyer’sDiscovery Skills(A) How confident are you in your B

Conference Session

Women in Engineering Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Christine Delahanty, Bucks County Community College ; Jason Silverman, Drexel University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

Paper ID #33241Creative Self-Efficacy of Undergraduate Women Engineering MajorsDr. Christine Delahanty, Bucks County Community College Dr. Delahanty is the Area Coordinator of Science and Engineering, and Professor of Engineering and Physics at Bucks County Community College (Bucks). She worked as an electrical engineer at General Electric Co. for nine years in both military and commercial communication satellite operations. Her research interests include investigating creativity within STEM education as a factor in cultivating diver- sity. She establishes technical, college level, programs of study for modernized

Conference Session

Women in Engineering Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Amrita Dhakal Ghimire, Mississippi State University; Litany H Lineberry, Mississippi State University; Sarah B. Lee, Mississippi State University

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

programmingincreased from 5.5% to 7.0 % in spring 2019, and that measure decreased from 7.1% to 3.6% infall 2019. Males who indicated they are good in computer programming in comparison to theirpeers increased from 16.7% to 29.6% in spring 2019. Similar patterns can be seen in fall 2019 pre-to post- results where self-efficacy grew from 29.8% to 42.9% for male students, but remained flatfor females.Figure 3. Perceptions of Male vs Female between pre-post survey in Spring 2019 and fall 2019 (Column labels are in percentage).With the post-survey results across semesters presented in Figure 4, gaps between positiveperceptions of programming ability among males versus females is evident. The perception ofmale students reporting to be better at computer

Collection

1999 Annual Conference

Authors

David R. Haws

measures of self-efficacy change is the general expression of overall self-efficacy belief indicated by the student’s answer to the last question on the self-efficacyevaluation form: “How would you rate your ability to learn the material contained in this courseand similar courses?” The second expression of self-efficacy could be determined from theaverage change in self-efficacy belief relative to the learning objectives that were contained inthe course content (excluding the problems that were addressing pre-requisite skills). Because itwas anticipated that self-report might under or over estimate the actual achievement levels, andthat the degree of under or over estimation might also be expected to change over the course ofthe semester in

Conference Session

Assessing Hard-to-Measure Constructs in Engineering Education: Assessment Design and Validation Studies

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Donna Jaison, Texas A&M University; Hillary E. Merzdorf, Purdue University, West Lafayette; Blake Williford, Sketch Recognition Lab; Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University; Kerrie A. Douglas, Purdue University, West Lafayette; Tracy Anne Hammond, Texas A&M University

Tagged Divisions

Educational Research and Methods

self-efficacy of users along with drawingability. Having a method to measure learner self-efficacy is intrinsic to understanding the process ofdrawing skill development.The absence of an instrument to assess drawing self-efficacy prevents usfrom evaluating the impact of the intelligent tutoring system on user’s drawing self-efficacy. Hence,there is a need for an instrument that assesses drawing self-efficacy to make sure that studentsare mastering sketching and thereby gaining skills that contribute to their success in engineering.In addition, it is critical to gauge the drawing self-efficacy of individuals to compare traditionalpedagogy with new teaching methods such as intelligent tutoring systems. Hence, the focus ofthis work was to define

Conference Session

Student Beliefs, Motivation and Self Efficacy

Collection

2014 ASEE Annual Conference & Exposition

Authors

Anthony Bourne, Wright State University; Nathan W. Klingbeil, Wright State University; Frank W. Ciarallo, Wright State University

Tagged Divisions

Educational Research and Methods

SRI showed low correlation between the self-confidencemeasure and student success, while this study showed a strong correlation between high schoolGPA and academic self-confidence. Further study into specific self-confidence measures, suchas mathematics self-efficacy, may provide greater understanding of how self-confidence mayaffect academic success. Previous research has shown a strong link between mathematics self-efficacy and academic success, and tying this to the APCM could be beneficial for fulleridentification of differences across the engineering student population.Bibliography(1) Klingbeil, N.W., Bourne, A.L. (2012). The Wright State Model for Engineering Mathematics Education: A Longitudinal Study of Program Impacts

Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Philip Reid Brown, Virginia Tech; Holly M Matusovich, Virginia Tech

Tagged Divisions

Educational Research and Methods

task, the expected outcome of a task16-18 and belief about one’s abilityto perform a task.24 To clarify our terms, we consider a theory is a big-picture idea of how aphenomenon works (expectancy-value theory offers an explanation of the entire process ofchoosing to perform a task) and a construct to be a single, measureable component of a theory(e.g., self-efficacy). The pursuit of a career in engineering and the completion of an engineering degree canboth be thought of as tasks, and research around them lends itself to motivation theories.Applications of motivation theories to tasks that are ultimately relevant to career choice includestudies using motivation to study enrollment and persistence in engineering programs21,26,student

Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Robert Melendy Ph.D., George Fox University

Tagged Divisions

Educational Research and Methods

instrument items measure anunderlying (latent) construct. Confirmatory factor analysis indicates that these two scales areindependent, thus adding to the construct validity of this instrument. The paper concludes with adiscussion concerning how students’ SE and OE beliefs are postulated to affect students’problem solving skills of upper-division electrical and mechanical engineering problems.IntroductionCalculus, linear algebra, and differential equations are a foundational and distinguishing analyticcourse of study central to any four year engineering curriculum. Engineering students’ beliefs intheir ability to successfully apply the mathematical concepts from these courses to their upper-division course work (i.e., students’ self-efficacy) was

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

Biomedical Engineering Division (BED) Technical Session 1: Sense of Self in Biomedical Engineering Students

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nathan Zhang, Vanderbilt University; Stacy S. Klein-Gardner, Vanderbilt University; Michael I. Miga, Vanderbilt University

Tagged Divisions

Biomedical Engineering Division (BED)

also the co-PI and co-Director of the Youth Engineering Solutions (YES) Middle School project focusing on engineering and computational thinking. Dr. Klein-Gardner is a Fellow of ASEE.Dr. Michael I. Miga, Vanderbilt University Michael I. Miga, Ph.D. received his B.S. and M.S. from the University of Rhode Island in Mechani- cal Engineering and Applied Mechanics, respectively. He received his Ph.D. from Dartmouth College specializing in biomedical engineering. He joined the facul ©American Society for Engineering Education, 2023 Measuring Biomedical Engineers’ Self-Efficacy in Generating and Solving Provocative Questions about SurgeryAbstractSelf-Efficacy has shown to be

Conference Session

Research Methodologies – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Todd M. Fernandez, Georgia Institute of Technology; David S. Ancalle, Department of Civil and Environmental Engineering, Kennesaw State University

Tagged Divisions

Educational Research and Methods Division (ERM)

self-efficacy with engineering students1 IntroductionIn this research paper, we re-evaluate structural aspects of validity for two instruments, the CurrentStatistics Self-Efficacy (CSSE) scale and the Statistical Reasoning Assessment (SRA) [1, 2]. The CSSE isa self-report measure of statistics self-efficacy while the SRA is a scored and criterion-based assessment ofstatistical reasoning skills and misconceptions. Both instruments were developed by statistics educationresearchers and have been consistently used to measure learning and interventions in collegiate statisticseducation. Our re-evaluation is part of a broader study of the effect of using a reflection-based homeworkgrading system in a biomedical engineering statistics course [3, 4

Conference Session

Systems Engineering Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Marsha Lovett, Carnegie Mellon University; Mark David Bedillion, Carnegie Mellon University; Cassandra M. Birrenkott, South Dakota School of Mines and Technology; Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology; Laura Ochs Pottmeyer, Carnegie Mellon University

Tagged Divisions

Systems Engineering

science on student learning. American c Society for Engineering Education, 2021 Building and Revising an Assessment to Measure Students’ Self-Efficacy in Systems Thinking Mark D. Bedillion1*, Cassandra M. Birrenkott2, Marsha C. Lovett3, Karim H. Muci-Kuchler2, and Laura O. Pottmeyer3 1 Mechanical Engineering Department, Carnegie Mellon University 2 Mechanical Engineering Department, South Dakota School of Mines and Technology3 Eberly Center for Teaching Excellence and Educational Technology, Carnegie Mellon University

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

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

K-12 & Pre-College Engineering Division: Fundamental: K-12 Student Beliefs, Motivation, and Self Efficacy

Collection

2016 ASEE Annual Conference & Exposition

Authors

Michael A. de Miranda, Colorado State University; Karen E. Rambo-Hernandez, West Virginia University; Paul R. Hernandez, West Virginia University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division

the assessment of student learning, particularly the assessment of academic growth, and evaluating the impact of curricular change.Dr. Paul R. Hernandez, West Virginia University c American Society for Engineering Education, 2016 Measuring Student Content Knowledge, iSTEM, Self Efficacy, and Engagement Through a Long Term Engineering Design InterventionAbstractThe current study reports on the outcomes of a classroom-based long-term engineering designintervention intended to increase high school students’ perceptions of the integrated nature ofSTEM disciplines (iSTEM) and to assess the effect of the intervention on student participation inan extracurricular STEM activity (i.e., a research poster

Conference Session

Cooperative and Experiential Education Division Technical Session 3 - Co-op Recruitment and Factors Affecting Success

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Amy Huynh, University of California, Irvine; Helen L. Chen, Stanford University; Krishnaswamy Venkatesh Prasad, Ford Motor Company; Sheri Sheppard, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Cooperative and Experiential Education

Paper ID #29854Exploring how innovation self-efficacy measures relate to engineeringinternship motivations and outcomesAmy Huynh, University of California, Irvine Amy Huynh is a mechanical and aerospace engineering undergraduate student at the University of Cal- ifornia, Irvine. She is interested in better understanding and supporting the experiences of female and underrepresented engineers in the classroom and in industry. She is a Brooke Owens Fellow and has interned at NASA Goddard, Made In Space, and NASA Ames.Dr. Helen L. Chen, Stanford University Helen L. Chen is a research scientist in the Designing Education Lab

Conference Session

Student Engagement and Motivation

Collection

2008 Annual Conference & Exposition

Authors

Dale Baker, Arizona State University; Stephen Krause, Arizona State University; Senay Purzer

Tagged Divisions

Educational Research and Methods

AC 2008-633: DEVELOPING AN INSTRUMENT TO MEASURE TINKERING ANDTECHNICAL SELF-EFFICACY IN ENGINEERINGDale Baker, Arizona State University Dale Baker, Arizona State University Dale R. Baker is a Professor of Science Education in the Department of Curriculum and Instruction at ASU and is the Co-Editor of The Journal of Research in Science Teaching. She teaches courses in science curricula, teaching and learning, and assessment courses with an emphasis on constructivist theory and issues of equity. Her research focuses on issues of gender, science, and science teaching. She has won two awards for her research in these areas.Stephen Krause, Arizona State University Stephen Krause, Arizona

Collection

2017 ASEE Midwest Section Conference

Authors

Muhammad Khan; Nansong Wu

2017 ASEE Midwest Section Conference On Measuring Personal Perception of Self-Efficacy of Students in Engineering Modeling and Design Courses Muhammad Khan and Nansong Wu Department of Electrical Engineering, Arkansas Tech UniversityAbstractOne of the primary objectives of engineering education is to develop skills and competencies inengineering students to enable them to design, construct and maintain objects and systems asfuture engineers. The engineers are expected to undertake design process within the constraintsimposed by safety, practicality, and cost criterions. Engineering education needs to maintain itsfocus on principles of

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