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
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
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
framework presented in thispaper is designed to extend the findings of Lent et al (1986) and the applicability ofBandura’s self-efficacy theory to the process of students’ ability to complete theeducational requirements of various science and engineering fields.In particular, results of this framework can be used to provide a useable means forpredicting student performance in engineering programs based on measurable parameters.The resulting model, based on the possible importance of career-related self-efficacybeliefs and other career-related variables, is expected to provide an explanation of Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington
and post-attendance survey served as participants for this project (N = 204),approximately half of which were middle school students (n = 99, accounting for 48.5% of thesample). Over 60% of the respondents were female (n = 124). A majority of respondents Proceedings of the 2007 ASEE North Midwest Sectional Conference Knowing an Engineer and Engineering Self-Efficacyreported their ethnicity as Black/African-American (n = 97, or 47.8% of sample) orWhite/Caucasian (n = 86, or 42.4% of sample).Materials A survey was designed to measure demographics, engineering self efficacy, courseenrollment and extra-curricular behavior, and expectations and perceptions of the YES! Expo.Of
materials to help facilitate rapid prototyping activities.After survey completion, student data were grouped into two categories based on response to questionsrelated to engineering self-efficacy. The highest responders on the engineering skills scales greater than 4on a 5-point Likert Scale were grouped as high-engineering self-efficacy, or high-ESE, and compared tothose responders that scored less than 4 on a 5-point Likert Scale as low-engineering self-efficacy, or low-ESE.Student perceptions towards different design activities were also measured. To examine the reliability ofthe scales for engineering self-efficacy, rapid prototyping, CAD, and 3D printing, the set of questionsassociated with each scale were assessed using Cronbach’s alpha test
.[3] May, Vicki (2014). “Broadening the Path to Engineering,” Huffington Post. http://www.huffingtonpost.com/vicki-may/broadening-the-path-to- engineering_b_4941739.html. March 2014.[4] Mamaril, Natasha A., Usher, Ellen L., Li, Caihong R., Economy, D. Ross, and Kennedy, Marian, S. (2016). “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study.’ Journal of Engineering Education. Vol. 105, No. 2, pp. 366-395.[5] Hsieh, P., Sullivan, J. R., Sass, D. A., & Guerra, N. S. (2012). Undergraduate engineering students’ beliefs, coping strategies, and academic performance: An evaluation of theoretical models. Journal of Experimental Education, 80, 196–218. http://dx.doi.org
data set measures students’ social cognitions over the course of theSpring 2020 semester in a set of 8 engineering courses using the same group of students beforeand after the unexpected transition to remote learning.BACKGROUNDThis study seeks to determine if the sudden transition to remote learning impacted students’engineering self-efficacy and outcome expectations. If these social cognitions were impacted,then student’s performance, persistence, and approach/avoidance behavior may also be impacted.To understand the basis of the study, the following section reviews the relevant background onsocial cognitions.Social CognitionsBandura’s [2, 3] social cognitive theory postulates that the social cognitions of self-efficacy andoutcome
retainingwomen engineering students? Do the virtual measures foster the same levels of self-efficacy inwomen engineering students as the previously offered face-to-face interactions? Do womenengineering students feel additional isolation from their peer group and perhaps question theircareer path when faced with an increased amount of online presence and the removal of criticalprograms aimed at increasing retention?While it is impossible to know the long-term impact on women engineering students due to thepandemic, it is possible to measure the immediate change in self-efficacy, sense of belonging andconfidence in program of study. This study measured changes in self-efficacy, belonging andconfidence of undergraduate women engineering students at a
Paper ID #34797Impacts of Mentoring on Math and Leadership Self-Efficacy Among CivilEngineering StudentsDr. Mary Katherine Watson, The Citadel Mary Katherine Watson is currently an Associate Professor of Civil and Environmental Engineering at The Citadel. She holds BS and MS degrees in Biosystems Engineering from Clemson University and a PhD in Environmental Engineering from The Georgia Institute of Technology. She enjoys, and has invested significantly, in the development of her undergraduate students, serving as past faculty advisor for numerous student groups. Dr. Watson is passionate about improving access to
first step in leadership development. By their responses they have shown an accurateself-awareness, honesty, and self- discipline. They have demonstrated that they can lead themselves.GrowthStudent’s growth of their leadership was examined through instruments that measured theirLeadership Self-Efficacy (LSE) and Motivation to Lead (MTL). LDP students showed the mostimprovement in efficacy after one year of the program. Similarly, LDP students’ motivationappear to remain consistent throughout the program.Combining this with results from the control group, suggest that LDP students come into theprogram with higher motivation than their peers but develop higher efficacy because of theprogram. Future surveys will incorporate a retrospective pre
-Middle and High School Students [5]will assess students’ attitudes about STEM-related academic course work, STEM-related careers,personal interests and professional contacts, growth mindset and self-efficacy. The survey is partof a set of STEM outreach measurement resources available for educational purposes from TheFriday Institute for Educational Innovation at North Carolina State University College ofEducation.The items assessing attitudes about STEM-related academic courses ask students to rateagreement, using a 5-point Likert scale, with statements related to math courses (3 items), andscience courses (3 items). Students are also asked to indicate agreement with statements assessinginterest in activities related to engineering and
wereencouraged to submit FEDC fabrication requests rather than machining parts themselves due tothese protocol constraints.Design Self-Efficacy and Project Feedback Survey InstrumentIn the final three weeks of each semester, the second-semester senior design students are invitedto participate in an online engineering design self-efficacy and project feedback survey. Thesurvey is voluntary and has no impact on the students’ grades.The Carberry Design Self-Efficacy Instrument was used to measure the students’ beliefs in theirdesign abilities. The 36-item survey has been validated for content, criteria, and construct [18].It considers the four task-specific self-concepts of self-confidence, motivation, expectancy ofsuccess, and anxiety towards the task
Western Michigan University’s College of Engineering and Applied Sciences for since 2010. American c Society for Engineering Education, 2021 Self-Efficacy, Mathematical Mindset, and Self-Direction in First-Year Engineering StudentsIntroductionIncoming first-year students in engineering, engineering technology, and computer science atWestern Michigan University (WMU) are placed into cohorts according to their preferred majorand initial math placement level. Cohort members share at least two courses (usually three orfour) during each of their first two semesters with the goal of encouraging study group formationand peer support. Peer tutoring and
related problems. For students specifically, makerspaces provide opportunities for hands‐on experience in problem solving, design, prototyping, and manufacturing. Given the collaborative‐learning nature of makerspaces, and how prevalently they’re used by students, the question posed is how does makerspace involvement impact student performance. In this longitudinal study, student performance is qualified by experimental measurements of idea generation ability and engineering design self‐efficacy (EDSE). Method The data presented here is a part of a 5‐year longitudinal study (removed). In this paper we focus impact to idea generation. The participants of this study were freshman and senior undergraduate students from
Loyola University Chicago and is currently holds the Walter P. Krolikowski, SJ Endowed Chair in the School of Education at Loyola University Chicago. He is an Associate Editor of the Journal of Counseling Psychology and his research interests span four related areas: multiculturalism, vocational psychology, social justice engagement, and applied psychological measurement. American c Society for Engineering Education, 2021 Exploring the validity of the engineering design self-efficacy scale for secondary school students (Research to Practice)Introduction and BackgroundPre-college engineering education efforts and associated research has seen a
University in Ghana. Pre and post surveys were administered tounderstand changes in students’ self-efficacy as a result of the intervention. The project scopewas to design, build, and fly a quadcopter drone to simulate surveying a mining area inZimbabwe and transporting items between two sites. This scope was significantly morechallenging than anything most of them had done before, as evidenced by less than half of thestudents reporting prior experience designing and building any product, and nearly a thirddescribing the project as “impossible” at first. Significant (p < 1.04 E-2) increases with mediumto large effect sizes (|g| = 0.653 to 1.427) were measured for five of six self-efficacy measures,capturing how students’ belief in their own
research. He is affiliated with the Engineering Education Transformation Institute and the school of Electrical and Computer Engineering. His research interest focuses on instructional design in remote and virtual environments and students’ interaction with learning environments. He is also interested in learning process measures; educational measurement and validation; learning strategies and engagement, and systematic review/meta-analysis research methodology. American c Society for Engineering Education, 2021 Work in Progress: The Effects of Hands-on Learning on STEM Students Motivation and Self-Efficacy: A Meta-Analysis
otherhands-on learning opportunities increase student self-efficacy and have positive effects onretention of minority students, particularly into postgraduate studies. Here we focus on assessingthe short-term effects of “Making” activities. Assessment included pre- and post-student self-efficacy surveys with three distinct areas of measurement: general self-efficacy, self-efficacy incourse outcomes, and self-efficacy in EM-related constructs.Preliminary data suggests that inclusive PSS activities resulted in positive student motivationalresponses comprising high levels of identified regulation and external regulation, with moderatelevels of intrinsic motivation. Relative to the average motivational response of the entire class,underrepresented
. [15]We hypothesize that increased participation in co-curricular activities, especially engineeringstudent organizations, will provide positive experiences that will be a driving force to pursuemore activities and more responsibilities. The more students experience positive outcomes whenperforming responsibilities could lead to increased self-efficacy and increased academic success.[16] The compounding reward system proposes that participation in co-curricular activitiesincreases self-efficacy and academic success in college. Student GPA, time to degree completion,and internships will be used to measure student success. A survey and case study interview willbe used to assess self-efficacy. Figure 1 shows the possible scenarios between self
given the NILA’s leadership framework and curriculum focus onthe development in these areas. The average mean for leadership self-efficacy increased from 4.0to 4.3. The increase was significant, and it shows that NILA had a measurable positive effect.Nevertheless, the effect may or may not be sustainable. Most of the change was explained by thelower values (pre-test minimum=2.6, post-test minimum=3.0), which is reflected in a smallerstandard deviation for the post-survey. This shows that the effect may be larger for those whocome in with lower self-efficacy than those who are already confident in their abilities. While thesample size was small, the EFA analysis is statistically significant to tentatively support ourhypothesis. However, this can
enrolled in theEngineering Technology Department at Texas State University. Freshmen enrolled inConstruction Science and Management, Concrete Industry Management, and Civil EngineeringTechnology will participate in this study. The study will conduct a paired t-test statisticalanalysis to test the first hypothesis –the game-based online animated modules will improveunderstanding and learning of Pre-Calculus concepts among construction science andmanagement majors. Students will be asked to complete identical questionnaires before andafter playing the PCLG to measure immediate changes in self-efficacy, motivation, and Pre-Calculus knowledge. The study will conduct a standard t-test to test the second hypothesis – theexperimental group of students
CT awareness among leaders andpractitioners, builds traction by relating CT to local goals, educational initiatives, or reformefforts, connects teachers to help them explore grade-appropriate implementation, and createsopportunities to practice CT learning activities.Related WorkMalallah investigated complications associated with adopting a U.S.-based STEM outreachprogram into the Kuwaiti educational system. The program focused on teaching CT viaArduino and Scratch to students in grades 6–9. Malallah used pre-post self-efficacy surveys todetermine increased CT awareness. Survey results revealed that, although students wereconfused about some CT concepts, their overall CT knowledge improved after the STEMoutreach program [19]. In a
; Williams, Smiley, Davis, & Lamb, 2018). Non-cognitivefactors are defined as unobservable traits and latent skills related to students academicachievement (Yoon et al., 2014).The Student Attitudinal Success Instrument (SASI; Immekus, Imbrie, & Maller, 2004; Immekus,Maller, Imbrie, Wu, & McDermott, 2005; Reid, 2009; Reid & Imbrie, 2008; Yoon et al., 2014)was developed to quantify non-cognitive characteristics of first-year engineering students beforeentering colleges or universities. The original SASI consisted of 161 items assessing ninespecific non-cognitive constructs: 1). intrinsic motivation, 2). academic self-efficacy, 3).expectancy-value, 4). deep learning approach, 5). surface learning approach, 6). Problem-solvingapproach, 7
Articles which did not focus on McConnell and Dickerson (2017) Engineering undergraduate engineering students consider student arguments about or undergraduate engineering subject the function of external structures matter. on animals for survival. The subjects are fourth-grade students. Examine Process Articles which examined the process Purzer (2011) studied student rather than of argumentation, rather than the arguments, self-efficacy and Product products of argumentation (e.g. a individual student achievements. writing
Attrition: Lessons from Four Departments. The Journal of Higher Education, 76(6), 669–700. https://doi.org/10.1080/00221546.2005.11772304Holbrook, A., Shaw, K., Scevak, J., Bourke, S., Cantwell, R., & Budd, J. (2014). PhD candidate expectations: Exploring mismatch with experience. International Journal of Doctoral Studies, 9, 329–346.Holloway-Friesen, H. (2019). The Role of Mentoring on Hispanic Graduate Students’ Sense of Belonging and Academic Self-Efficacy. Journal of Hispanic Higher Education, 153819271882371. https://doi.org/10.1177/1538192718823716Jaeger, A. J., Mitchall, A., O’Meara, K. A., Grantham, A., Zhang, J., Eliason, J., & Cowdery, K. (2017). Push and pull: The influence of race
cited the team as having contributed to their confidence and identityas an engineer and as one of the reasons they remained in engineering. Survey data is currentlybeing collected from at least 30 existing and 30 former Hot Wheelz and Formula SAE membersto quantify demographic characteristics (including gender and race), year level, and currentlevels of self-efficacy. Pre-existing validated scales for measuring self-efficacy andpsychological safety are being used to assess engineering and career self-efficacy. The surveydata will be used to develop interview and focus group questions that further quantify differencesin self-efficacy for males and females and to inform how team practices and attributes improveself-efficacy and retention of
validatedinstruments used in the study of self-efficacy and social integration and administered thesesurveys to chemical engineering (“ChemE”) students at the beginning and end of the sophomoreyear. Social Cognitive Career Theory was used to hypothesize the expected (positive)relationships between the factors of self-efficacy and social support and the outcomes of studentachievement and persistence. When the data set is large enough, path analysis will be used totest these hypotheses, adjusting for prior achievement using indicators such as first-year GPA.Achievement is measured in the short term by performance in sophomore-level ChemE coursesand in the long term by final ChemE GPA. Persistence is measured in the short term byresponses to survey questions
, Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering. 2012.[5] American Educational Research Association, American Psychological Association, and National Council on Measurment in Education, Standards for Educational and Psychological Testing. 2014.[6] R. J. Jenson, A. N. Petri, A. D. Day, K. Z. Truman, and K. Duffy, “Perceptions of Self- Efficacy among STEM Students with Disabilities,” Journal of Postsecondary Education and Disability, vol. 24, no. 4, pp. 269–283, 2011.[7] Şe. Purzer, “The Relationship Between Team Discourse, Self-Efficacy, and Individual Achievement: A Sequential Mixed-Methods Study,” Journal of Engineering Education, vol. 100, no. 4, pp. 655
instrumentality in the motivationliterature [2]. Both of the frameworks in this study measure different aspects of students' beliefsabout their abilities in math and engineering and are utilized as they can shift due to educationalexperiences [20], [21]. The operationalization of these constructs, along with our population andstudy design, are outlined below.Research QuestionBy building off the body of available literature about student mathematics and the role ofengineering in fostering positive beliefs, we sought to implement an integrated engineering,science, and mathematics unit and answer the following research question:How do 5th-grade students' mathematics and engineering self-efficacy and perceived usefulnessfor abstract mathematics concepts