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
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
impacts into their assignments. Theassessment and survey results of the course indicated students became more aware of the impactsof their projects and became prepared for the workforce [16]. A research study in an electricaland computer engineering program indicated that the entrepreneurial intention of a student canbe influenced by linking entrepreneurship to activities and research in education programs [8].Another study researched students’ perceived entrepreneurial self efficacy for a group ofbiomedical engineering students in a senior design course. They found an increase in students’abilities to accomplish entrepreneurial tasks after exposing students to EML [14]. A differentgroup, teaching material science classes, incorporated self
Paper ID #48745Enhancing self-efficacy among civil engineering undergraduates using hand-onpedagogyMr. Michael Oluwafemi Ige, Morgan State University Michael Ige is a Graduate Research Assistant in the Department of Civil and Environmental Engineering at Morgan State University, Maryland, where he is pursuing his M.Sc. in Civil and Environmental Engineering with a concentration in Construction Management and Transportation Engineering. He earned his B.Tech. in Building Structure from the Federal University of Technology, Akure, Nigeria. Michael has extensive professional experience managing large-scale heavy
teams, a final course grade for each team was calculated by averaging the finalgrades for individual students within a team. While this was not the main research question,engaging in self-reflection can affect self-efficacy and therefore contributed to our understandingof the results of this study.3.4 Analysis MethodsThe primary method used to determine the relationship between PSSE, abstraction level, andperformance is Pearson correlation coefficient. This coefficient is a dimensionless measure of thecovariance between two variables, normalized between -1 and 1 [19]. These extremes representexact linear relationships between the variables. As a result, interpretation of this coefficient canlead to some inferences about the relationship between
that visits to engineering schools had an impact on thestudents’ decision to enter engineering [3]. Phelps et al. [4] showed that many factors across lifestages are associated with engineering major choices, and highlighted the importance of pre-collegeexperiences in guiding students in that choice. This demonstrates that interactions with undergraduateprograms have a measurable influence on major selection, which provides a great argument for STEMoutreach from engineering schools to middle and high-school students. STEM interest in middle and high-school students is sometimes difficult to predict. It relies onmany socio-economic variables, as well as academic settings in schools. Some studies have attemptedto link these variables to
, Biological Engineer, Analytical Cell Biologist, and Engineering Education Researcher to tackle complex engineering education problems across the learner life span.Dr. Jeremy A. Magruder Waisome, University of Florida Dr. Jeremy A. Magruder Waisome is an Assistant Professor in the Engineering Education Department at the University of Florida (UF). Her research focuses on self-efficacy and critical mentoring. She is passionate about broadening participation in engineering, leveraging evidence-based approaches to improve the engineering education environment. ©American Society for Engineering Education, 2025 "Visualizing and Modeling a Growth Mindset in an AutoCAD course."AbstractThis Work-in
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
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
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
, 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
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
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
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
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
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
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
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
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
Self-Efficacy and Demographics of Makerspace Participants Across Three Universities,” Journal of Mechanical Design, vol. 142, no. 10, Oct. 2020, doi: 10.1115/1.4046649.[6] J. A. Marin, J. E. Armstrong, and J. L. Kays, “Elements of an Optimal Capstone Design Experience,” Journal of Engineering Education, vol. 88, no. 1, pp. 19–22, Jan. 1999, doi: 10.1002/j.2168-9830.1999.tb00405.x.[7] A. R. Carberry, H. S. Lee, and M. W. Ohland, “Measuring engineering design self-efficacy,” Journal of Engineering Education, vol. 99, no. 1, pp. 71–79, 2010, doi: 10.1002/j.2168- 9830.2010.tb01043.x.[8] E. Kames, D. Shah, M. Clark, and B. Morkos, “A Mixed Methods Analysis of Motivation Factors in Senior
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
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
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
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
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
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
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
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
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
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