Paper ID #38028Board 145: Possible Relations between Self-Efficacy, SociodemographicCharacteristics, Dropout and Performance of Freshman Students inEngineering CoursesDr. Cristiane Maria Barra Da Matta, Instituto Mau´a de Tecnologia Master’s degree in Food Engineering at the Instituto Mau´a de Tecnologia and PhD in Psychology at the Universidade Metodista de S˜ao Paulo (2019). Assistant professor and coordinator of the Student Support Program (since 2007) at Instituto Mau´a de Tecnologia. It investigates themes of School and Educational Psychology: academic experiences, self-efficacy, school performance and dropout in
enrolledexhibit an engineering self-efficacy of at least 3.5 out of 5, and over 67% of the students reportthe ENGR 102 HS course increased their interest in becoming an engineer [2, 3, 4]. Teachereffectiveness is also measured and is consistently high year after year with 86% of studentsreporting that their teacher is always or usually effective.With the successful launch of the Advanced Placement (AP) Computer Science course in 2016,engineering educators, NSF and the College Board accelerated the development of anIntroduction to Engineering AP course. College of Engineering deans from across the countrywere surveyed and multiple meetings of engineering thought-leaders and educators wereconvened to decide on a course of action [5]. With these strides to
,” Applied Thermal Engineering, vol. 112, pp. 841–854, Feb. 2017, doi: 10.1016/j.applthermaleng.2016.10.134.[4] B. A. Al-Sheeb, A. M. Hamouda, and G. M. Abdella, “Modeling of student academic achievement in engineering education using cognitive and non-cognitive factors,” JARHE, vol. 11, no. 2, pp. 178–198, Apr. 2019, doi: 10.1108/JARHE-10-2017-0120.[5] M. Khan, M. Ibrahim, and N. Wu, “Measuring Self-Efficacy in Engineering Courses – Impact of Learning Style Preferences,” in 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida: ASEE Conferences, Jun. 2019, p. 33092. doi: 10.18260/1-2-- 33092.[6] M. Khan and M. Ibrahim, “Women in Engineering – Focus on Self-Efficacy in Modeling and Design through
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
Page 26.732.5not know personally”. In addition, participants were asked to report the genders of the mentorand role model and indicated if that person works in the construction industry.Administration, Data Collection, and AnalysisThe survey was administered to a convenience sample of 828 students enrolled in undergraduate-level construction management courses at three universities (University 1, n = 286; University 2,n = 349; University 3, n = 193) during the spring semester of 2014. A total of 679 surveys werereturned, yielding a response rate of 82%. The intent of this study was to measure the self-efficacy and motivation of adult undergraduate construction management students. Participantswere classified as construction management students
learning program to college choice. The remaining two questions are open-ended and allow students to describe their favorite ENGR 102 HS design and build project andcomments about their teacher. Many of the Likert scale questions for the online survey wereobtained from the on-campus course evaluations handed out to undergraduates in the ENGR 102course and deal with the quality of instruction and content. Additional questions, those dealingwith self-efficacy, were selected from the Longitudinal Assessment of Engineering Self-Efficacy(LAESE) instrument measuring student self-efficacy [36]. The LAESE instrument is a validatedinstrument that was developed with NSF funding as part of the Assessing Women in Engineering(AWE) project and can be found at
] E. Fast and E. Horvitz, "Long-Term Trends in the Public Perception of Articial Intelligence," AAAI, vol. 31, no. 1, 2017.[2] M. Borrego, "Conceptual difficulties experienced by trained engineers learning educational research methods," Journal of Engineering Education, vol. 96, no. 2, pp. 91-102, 2007.[3] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy and M. S. Kennedy, "Measuring Undergraduate Students' Engineering Self-Efficacy: A Validation Study," Journal of Engineering Education, vol. 105, no. 2, pp. 366-395, 4 2016.[4] R. M. Marra and B. Bogue, "Women Engineering Students' Self Efficacy-A Longitudinal Multi- Institution Study," 2006.[5] J. S. Weedon, "Judging for Themselves: How Students Practice Engineering
discussions with participants. Interviews and focus groupswere digitally recorded and transcribed. A reflective analysis process was used to analyze andinterpret interviews and focus groups.Test of Students’ Science KnowledgeA student science content knowledge assessment aligned to the instructional goals of the researchcourse was developed and administered at the onset and conclusion of each part of the course.S-STEM SurveyThe S-STEM Student Survey measures student self-efficacy related to STEM content, interest inpursuing STEM careers, and the degree to which students implement 21st century learning skills.The survey was administered in a pre/post format at the beginning and end of each project year.FindingsResults are organized by evaluation
is also known as visual-spatial skills and these are different from other forms ofintelligence such as verbal ability, reasoning ability, and memory skills. Spatial skills are linkedto professional and academic success [3], [4]. For example, when designing or constructing apumping station or piping systems within a treatment plant, it is always challenging to develop athree-dimensional mental picture of the space when looking at plan view and section views of aspace. Those who are skilled in developing that clear mental picture make fewer mistakes andare more efficient designers or constructors. Spatial training has been shown to have a strongimpact on developing these visual-spatial skills as measured by success on standardized
participate in the program from the same cohorts. The study investigatesthe relationship between self-efficacy, pre-college academic preparedness measures and theeffect of these factors on early college success outcomes (e.g., term GPA) for URM students whoparticipated in STP as well as URM students who did not participate.LITERATURE REVIEWSelf-efficacy is defined as confidence in one’s ability to perform specific tasks or courses ofaction necessary to attain a specific goal or function in a specific capacity. (Bandura, 1997).When measuring self-efficacy respondents are asked to rate their level of confidence forattaining a specific goal. A student’s self-efficacy has an influence on the decisions that he/shemakes regarding their demonstrated efforts
needs. We not only investigated the low-stakesassessments, students’ perceived learning, but also their social learning metrics includingbelongingness and self-efficacy because belonging and self-efficacy in learning are knownimportant factors that positively influence students academic performance [7], and students’success should not be limited to only performance based measurements. Furthermore, we studieda new instrument (PAIM) based on the POUR model [8] that measured students’ perceivedaccessibility. PAIM was found to be predictive of SWD perceived learning [8].Background Perceivable Users can use their available senses, such as sight, hearing, and touch, to fully process information in their electronic
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
Paper ID #45360Impact of a Femalized Architecture, Engineering, and Construction KinestheticLearning Model on the AEC Career Knowledge, Self-efficacy, and OutcomeExpectations of African American Middle School GirlsMiss Mercy Folashade Fash, North Carolina A&T State University Mercy Fash is a dedicated and accomplished PhD candidate in the Applied Science and Technology program at North Carolina Agricultural and Technical State University (NC A&T). Her research is primarily focused on increasing racial and gender diversity in STEM careers, addressing critical gaps and promoting inclusivity in these fields. Mercy’s
-Lopez, Changes in Latino/a Adolescents’ Engineering Self-efficacy and Perceptions of Engineering After Addressing Authentic Engineering Design Challenges, in Proceedings of American Society for Engineering Education Annual Conference. 2015, ASEE: Seattle, WA. p. 1-14.18. Mejia, J.A., et al., Funds of Knowledge in Hispanic Students’ Communities and Households that Enhance Engineering Design Thinking, in Proceedings of American Society for Engineering Education Annual Conference. 2014, ASEE: Indianapolis, IN. p. 1-20.19. Olitsky, S., Structure, agency, and the development of students’ identities as learners. Cultural Studies of Science Education, 2006. 1(4): p. 745-766.20. Kennedy, M., The Ownership
measured the degree to which teachers’ lesson implementations showed evidence of theengineering design practices encouraged by the project, and students’ scores on the contentknowledge post-tests for each design task. The results are shown in Table 11 (for grade 5 tasks)and Table 12 (for grade 6 tasks).The results indicate that there were small to moderate positive correlations between teachers’implementation rubric scores and students’ knowledge post-test scores in both grades 5 and 6.These correlations ranged from a low of r = 0.14254 (for the relationship of teachers’ WaterFilter implementation scores and students’ Water Filter post-test scores) to a high of r = 0.45466(for the relationship of teachers’ Solar Tracker implementation scores and
a specific task such as problem solving or design.1 Results have indicated thatstudents with higher self-efficacy (a task-specific motivation2) have been shown to have improvedlearning and understanding in introductory engineering courses.3 Work focused on long-termgoals, such as graduating with an engineering degree, has shown that students who have higherexpectancies for their performance in engineering have significantly higher grade point averages(GPAs).4,5 Connections between these two scales of motivation have been proposed, yet little workhas been done to examine how these levels are connected and influence one another.6 Theoverarching purpose of our research is to understand the connection between multiple levels of
], 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
. Thisforces students to (re-)enter the same harmful environments with the expectation of developingenough “grit” to “persist” [13]. These efforts place the responsibility on the most minoritized,with no focus on those from dominant identities who create/enable these environments. Creatingand sustaining more equitable and inclusive environments requires improving everyone’scultural competence (not just increasing sense of belonging and self-efficacy in those who aremost harmed).As more computing departments develop interventions to increase diversity, equity, andinclusion that target all students [2], [14], an instrument for measuring their impact beyondenrollment, retention, and graduation rates is needed. This work details the development andtesting
project. Importantly, thisscholarship program aims to increase the number of engineers in the state and nation, reachingout to those students who have an interest in the field but who are unable to pursue the educationnecessary to acquire a degree.IntroductionIn order to understand the unique needs of the transfer student, an intensive questionnaire wasdeveloped to assess the Pathway to Success program effectiveness. The questionnaire has severalcomponents, including: demographic information, beliefs about self-efficacy in engineering,anticipated and experienced hurdles throughout the program, and scholarship programassessment. Many of the questions posed aimed to better understand the distinctive challengesfaced by transfer students so that the
theirbachelor’s degrees in engineering. We focus on these individuals due to the scarcity of researchon their experiences and the relevance of their perspectives to engineering education.29-31Implications of this work will focus on recommendations for educational research and practice.Framework and LiteratureThe overall EPS project is broadly situated in social cognitive career theory (SCCT) which positsthat a variety of factors influence career choice including self-efficacy beliefs, outcomeexpectations, and learning experiences.32 SCCT has been used extensively in the study ofengineering students’ career choices.33-37 A main goal of our study has been to identify theschool and workplace factors related to the career choices made by engineering
to understand andembrace, but once we did, we knew there was no going back” 30. This acknowledgement ofstudents’ emotional experiences changes the direction for reform efforts from the narrow scopeof pedagogy and curricular support to a broader conversation that includes student engagementand the development of a supportive community. Efforts to understand student self-efficacy haveincluded studies of identity, or whether students think of themselves as engineers 31,32, anddefining what is meant by “continuing motivation,” other than simply staying in a degreeprogram 33.Some efforts should concentrate, then, on creating supportive environments within engineeringto help retain students, while others focus on developing courses and projects
STEM education for future researchers. He is currently participating in an NSF-funded grant (#1923452) to spearhead research into middle school students’ digital literacies and assessment. Recently, Dr. Hsu has received a seed grant at UML to investigate how undergradu- ate engineering students’ digital inequalities and self-directed learning characteristics (e.g., self-efficacy) affect their learning outcomes in a virtual laboratory environment during the COVID-19 pandemic. Dr. Hsu’s research interests include advanced quantitative design and analysis and their applications in STEM education, large-scale assessment data (e.g., PISA), and engineering students’ perception of faculty en- couragement and
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
the content against bothprior analysis and relevant literature. Content validity through expert review We drafted materials for expert review, including a 1-page definition of framing agency and its sub-constructs, a version of the survey, and a scoring sheet. Given the relatively novel nature of the construct (e.g., as compared to developing a scale for self-efficacy in a new domain), we were concerned about the possibility of inclusion bias (i.e., in not having true expertise due to the newness of the construct, would experts tend to rate every question as relevant?). We developed 17 distractors to evaluate experts’ tendency to include constructs that may be interesting but not included as
factors or sub-constructs commingle to form the self-concept of a student inengineering undergraduate education is the crux of this study. To accomplish that, a systematicreview was performed over recent studies, related to engineering education, that assessed self-concept as part of their methodology.This paper first introduces self-concept and self-efficacy, the two constructs that are often usedinterchangeably in literature, followed by a database search for recent studies measuring self-concept. Based on the results this study enlists the variables assessing either of the constructs thatwere introduced. Then a detailed analysis of the differences between the two constructs isprovided. Extensions to the current structure of self-concept and
space, the teams were able to use them efficiently and createand test multiple prototypes in a short period of time and make the necessary adjustment to theirdesign such that it better meets the identified requirements. As shown in Figure 3, theperformance of the final prototypes for both teams was tested using press test method and it wasobserved that both designs increase the weight-bearing limit of the patient as much as 12-15pounds. Figure 2: Prototyping in the maker space Figure 3: The final prototype was tested using press test methodSurvey InstrumentThe Engineering Design Self-Efficacy tool (Carberry et al, 2010) was used to measure anychanges in the students
and a possible solution,(Conradty, Sotiriou & Bogner, 2020). Self-report measures of design self-efficacy also tend toreflect subject domains such as science (self-efficacy for designing experiments; Hushman &Marley, 2015) and the arts (designing in a visual arts environment; Catterall & Peppler, 2007).Notably, we did not find a self-report measure for problem-finding, ingenuity, or inventivenessthat could be used in elementary and middle school settings.1 Models of the invention process are analogous to the pedagogical guidance provided in models of the engineeringdesign process or the scientific method.Rationale for the Study Using Inventive Mindset measure data from 252 elementary and middle school agedchildren, Garner
moving fromconcrete experiences into reflective observation is essential for learning.This learning was assessed by direct assessment of students’ performance on an in-lab exam thatassessed both theoretical and experimental skills, surveys of self-efficacy administered beforeand after the treatment, coding student answers to reflection questions in the lab manuals, andcounting the number of answers to interactive questions to determine compliance.Significant results from the experiment indicated that students in the treatment group took longerto complete the lab, felt greater time pressure, performed more poorly on the in-class evaluation,and had fewer metacognitive gains than the control group. The treatment appears to haveincreased the
STEM careers butthe question remained how much was attributable to the EPICS experience itself. An instrument9based in Social Career Cognitive Theory10 was developed to assess change in self-efficacy,outcome expectations, and personal interest in engineering amongst high school students whoparticipated in the EPICS High program. It was comprised of survey questions and open-endedresponses. In addition to the focus on self-efficacy, outcome expectations, and interests, thesurvey addressed perceived attributes of an engineer, student understanding of scientists versusengineers, changes in grades, college and major goals, and contextual supports. More detailsabout the full instrument have been published previously9, and the analysis of the data
applied to two different drivers on the same track.With this metric, areas for driver improvement could be identified and potentially be used toguide an event-specific driver selection process or personalize driver training.Student learning objectives linked to ABET outcomes are described in the context of how theyare assessed in this course. Results from student self-efficacy surveys and student achievementon assignments are presented and discussed as they apply to ABET outcomes b, g, i, and k.IntroductionAuthentic engineering experiences, such as student competitions, sponsored projects, designclinics, and project-based learning modules have been incorporated broadly within theundergraduate curricula to enhance student learning. The challenges