associated with a variety of student outcomes. Additionally, modified versionsof previously validated instruments were used to measure teachers’ motivation for participatingin the K12 InVenture Prize program [15] and teachers’ self-efficacy for teaching engineering andentrepreneurship [16]. Participants A total of six teachers from our focal region began the survey. Of these, two discontinuedthe survey during the demographics and teaching background sections; a total of fourrespondents completed the survey. All four teachers who completed the survey are women, andall four teachers are White. For all four teachers, the 2018-2019 school year was their first yearimplementing the K12 InVenture Prize program. Two teachers implemented in a
no effect on faculty members’ self-efficacy related toculturally responsive classroom management (CRCMSE) and engineering pedagogy (TESS).Faculty reported moderately high self-confidence on all CRCMSE measures (range: 2.06-2.50 on0-3 pt Likert), and there were no statistically significant gains in these measures from pre- topost-workshop. Similarly, faculty also had moderately high self-confidence on TESS measures(range: 3.33-4.72 on 0-5 pt Likert); and pre- vs. post-workshop gains were reported for two of 15survey items. Specifically, faculty reported gains in confidence related to their ability to guidestudents in the engineering design process or scientific method (d=1.15, p=0.009, n=18) and self-confidence in encouraging critical
module of the rotation-based course RQ3: Does the rotation-based course impact career ambitions? RQ4: Do students in the rotation-based course see themselves as Computer Scientists and/or Engineers?4 Methodology & Data Sources4.1 Data SourcesA pilot study was crafted to monitor the impact of the rotation-based course on identified outcomes of interestduring the Fall 2020 semester using a pre-post-survey design. We build upon the work of a prior study (Erdil &Ronan, 2019) that tested the applicability of the SCCT theoretical framework and tested survey items measuringstudents’ career intentions (pre and post) and course satisfaction (post). Desiring to measure additional internalmediators related to self-efficacy and outcome
through theimmersion of “creative work…[and] ‘deliberate practice’” [8]. One way to gauge one’s creativeability is through the measure of Creative Self-Efficacy (CSE) [30], [31]. CSE is a measure ofone’s belief in their creative ability and has been shown to be a predictor of future creative success.Not only is CSE important, but short creative activities have been shown to increase CSE.Many tools exist to help people brainstorm ideas such as: brainstorming, Design Heuristics Cards,SCAMPER, and C-Sketch [29],[32]. While product dissection has traditionally been used as alearning tool, it has also been investigated as a creativity tool [21]. Prior research has found thatboth virtual and physical product dissection have a positive impact on
internships (this occurred between July and August 2018). All surveys wereadministered electronically through Qualtrics, and participants completed the surveys on theirown time. In total, 52 Scholars completed the pre-survey, 49 completed the post-survey, and 44completed both (68% response rate both pre and post assessments, based on n=64 summerprogram completers).Outcome measures were based upon the program theory of change and included multi-itemscales for general self-efficacy/perseverance; computer science/engineering self-efficacy in anapplied setting; teamwork, leadership, and communication skills (in both academic and appliedsettings); and mentoring and peer relationships. In addition, the post-program questions alsoaddressed confidence and
efficacy in mathematics higher than women [17]. Itis also important to look at SES as a factor as higher SES students tend to have higher gradeswhich may lead to higher reports of self-efficacy across disciplines. By identifying the influences and interests of the undergraduate women enrolled inengineering majors, the ultimate goal of this study was to identify possible avenues to invest oureffort towards enhancing the recruitment and retention of female engineering students. The studywas guided by the following research questions. 1. What do women identify as influences for enrolling in an engineering major? 2. What role does their educational and family backgrounds play in their success, as measured by GPA? To answer the research
using the Math and Science Teaching Efficacy Beliefs instruments forteachers, and a validated 65-item STEM attitude survey for students. A content knowledgeassessment was also conducted for the students. Analyses of data from the professionaldevelopment workshop and the summer camp indicated a positive impact of the teaching andlearning technique. The teachers reported high self-efficacy in their ability to implement theapproach in their classrooms. Assessment of students’ content knowledge showed increasedunderstanding of the concepts taught with the approach. A positive attitude towards STEM wasalso reported by the student participants. This research is supported by NSF Grant# 1614249.IntroductionThe science, technology, engineering and
engineeringprofessionals all had a generally positive attitude towards the inclusion of project-based learningin curriculum. Furthermore, the inclusion of project-based learning has been found to have severalpositive impacts. Even though these projects generally take away from the amount of timededicated to lectures, these tradeoffs do not detract from the understanding of course content, andstudents even gain a better ability to adapt their knowledge to new situations [4]. These types ofcourses have also been found to improve performance and retention at all levels of education [5–7]. Working on these types of projects has been shown to boost self-efficacy and careeraspirations [8]. Self-efficacy (or a person’s belief in their ability to complete a task
similar to the procedures that had been used in Study 1. We applied the samecriteria and one to five ratios to select our matched group, the final sample included 66 students.See Table 2 for their demographic information, ACT composite scores and high school GPA.MeasuresThese surveys involving eleven subscales (See Table 3 for details) were developed or adaptedfrom existing validated surveys. Two subscales (initial perceived social support and pre-collegeschooling) were surveyed only in the first semester, and two subscales (academic/socialintegration and institutional experiences) were only surveyed only in the second semester. Theremaining seven subscales (academic self-efficacy, career self-efficacy, self-regulation,perceived social support
research. c American Society for Engineering Education, 2020 Innovative Learning Strategies to Engage Students CognitivelyAbstractThe role of cognitive engagement in promoting deep learning is well established. This deeplearning fosters attributes of success such as self-efficacy, motivation and persistence. However,the traditional chalk-and-talk teaching and learning environment is not conducive to engagestudents cognitively. The biggest impediment to implementing an environment for deep learningsuch as active-learning is the limited duration of a typical class period most of which isconsumed by lecturing. In this paper, best practices and strategies for cognitive engagement ofstudents in the classroom are
individual needs and concerns.” All school demands were measured on a 5-point Likert-type scale. While different variables had different response options, for all school demands a higherscore indicated a greater perceived demand. Personal resources. Personal resources were measured with five variables consisting often items. The personal resources of mastery goal orientation, performance approach goalorientation, self-esteem, and academic self-efficacy, and self-efficacy to graduate with anEngineering degree were each measured with two items. For example, mastery goal orientationwas measured with the items “I want to learn as much as possible from my ODU classes” and “Idesire to completely master the material presented in my ODU classes
present its results, and discusssuggestions for improvement.Literature reviewEngineering Students with Disabilities: Because disability is not always visible and becausecollege students must self-identify as disabled, it is difficult to know the true number ofengineering students with disabilities. This section will review literature about students withdisabilities’ commitment to the engineering major and career, their extracurricular engagement,their feelings of self-efficacy in engineering, and their perceptions of “otherness.”Commitment to the engineering major and career: According to the National Science Foundation[8], students with disabilities enroll in undergraduate science and engineering fields at similarrates to their non-disabled
shapeinterventions aimed at impacting SCCT factors and studying their effect on LIATS success.Success in our case is defined by the student ability to complete an engineering degree within133% of the nominal program time and inserting into the grad school or the engineeringworkforce during the first-year post-graduation. Metrics to measure students’ advancementtowards such a goal include retention, time-to-graduation, completion rates, and post-graduationchoices.The main question driving this research is: How effective is the L-CAS model at improvingengineering LIATS success as a consequence of developing awareness of their career paths,improving self-efficacy beliefs, developing leadership skills, and going through a sequence ofcourses designed to develop
UniversitiesWIP: Implementation and Assessment of ProjectAbstract: This paper documents the effects of an additive manufacturing course on two sets ofstudents: (1) the undergraduates who took the course and (2) the middle and high school studentswho visited our labs. At the time of the conference, nine semesters of data (three years at threeschools) will have been collected, as well as data from the middle and high school students whovisited our labs. Overall, our research questions were: (1) what is the effect of this course on thecontent knowledge of (a) enrolled undergraduates and (b) middle and high school students? And(2) what is the effect of this course on the attitudes towards engineering and self-efficacy inengineering for (a) enrolled
parts and ordering of needed parts; 2)creating a minimal viable prototypeand designing a production plan; 3)engage in production of kits; 4)packaging kits; 5)deploy kitsin the classroom; 6)perform a post-mortem review of strengths and weaknesses of the past sixweek’s production pipeline. As this was occurring, students were surveyed weekly to observe anychanges that occurred in their Maker Mindset and self efficacy on math and engineering. MakerMindset is a scale measure following a 7-point Likert scale using the Maker Mindset Assessment[3]. The assessment consists of 11 items that measures core facets of Making including creativityand teamwork (e.g., “I am willing to help other people”, “I like to share things I make with otherpeople
Research Paper examines non-cognitive predictors of first-year engineeringretention for students who received a C in their first semester mathematics course at theUniversity of Louisville. Scores across eight non-cognitive measures served as model predictors,obtained at the beginning of the first year, including: value interest in engineering, perceivedeffort, opportunity, and psychological costs, perceived belonging uncertainty, contingencies ofself-worth: academic competence, test anxiety, and self-efficacy. Using least absolute shrinkageand selection operator regression, we found that value interest and test anxiety were the strongestpredictors of C-student retention. The results from this study inform research on the decision-making of
study. All participation was voluntary, and students were informed that theirsurvey responses would remain confidential. In several courses, students were incentivized witha nominal amount of extra credit for the course in which they were recruited. All studentscompleted an electronic survey online and outside of class. Surveys were collected withidentifying information so that duplicates could be removed before aggregating data for analysis.All results were cross-sectional. Students reported their perceptions of various items related toengagement, belonging, effort, peer harassment, task value, self-efficacy, TA and facultyinteractions, and measures of course achievement as well as responding to demographic items.Data AnalysisThe data were
Less Obtrusive Peer Assessmentpractice, improve metacognition because students are using a using EEFK12metric to identify exemplars and will approximate the exemplarsthemselves, improve their self-efficacy regarding specific elements of the EEFK12, and grow intheir epistemological identity because they can see assessment results from their peers or self-reflect. This paper describes the development of the tool, LOPA2 (Less Obtrusive PeerAssessment Application).Engineering Epistemic FrameThe engineering epistemic frame (EEFK12) was developed as an alternatively comprehensiveassessment method for K-12 students in formal or informal settings[4]. It synthesizes
lowsocioeconomic status) be adequately and appropriately supported throughout their studies, bothacademically and in terms of affective factors like self-efficacy [4], identity [5] [6], and sense ofbelonging [7] (Recall we use SEIB as an abbreviation for these three factors). This perspective,and the corresponding measures described below, are grounded in social cognitive career theory[8] [9] and expectancy-value achievement models [10]. Specifically, undergraduate students’decisions to persist in STEM studies (and, ultimately, enter STEM careers) are believed to beinfluenced by their patterns of career interests and the value that they place upon STEM-specificacademic and career outcomes, with SEIB factors playing a key role in moderating theseinterests
minimizing evaluation burden to the teacher participants. The DET survey wasadministered pre- and post-program each year, the TESS survey was administered only mid-program in 2016, pre- and mid-program in 2017 and pre- and post-program in 2018. The open-ended mid-program survey was used in 2016 and 2017, and replaced with a focus groupinterview in 2018. The Design, Engineering and Technology (DET) survey and the Teaching EngineeringSelf Efficacy Scale (TESS)) were used to measure teachers' attitudes towards teachingengineering and their self-efficacy related to teaching engineering. These instrument wereselected for three primary reasons: alignment with the objectives for the RET; specific focus onengineering; and previous use of the
). Enhancing learning in the life sciences through spatial perception. Innov High Educ 15, 5–16 https://doi.org/10.1007/BF00889733 13) Lord, T., & Nicely, G. (1997). Does spatial aptitude influence science–math subject preferences of children? Journal of Elementary Science Education 9: 67–81. 14) Maier, P.H., Spatial geometry and spatial ability – How to make solid geometry solid? In Elmar Cohors-Fresenborg, K. Reiss, G. Toener, and H.-G. Weigand, editors, Selected Papers from the Annual Conference of Didactics of Mathematics 1996, Osnabrueck (1998), 63–75. 15) Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R., & Kennedy, M. S. (2016). Measuring undergraduate students' engineering self‐efficacy: A
”). The final score for each factor is based on the average of the relevant items. SSCS is a 11-item questionnaire that evaluates creative self-efficacy (CSE) (6 items), one’s belief that they can be creative (e.g, “I know I can efficiently solve even complicated problems”), and creative personal identity (CPI) (5-items), one’s belief that they are creative (e.g., “I think I am a creative person”). Participants respond on a 5-point scale between strongly disagree and strongly agree, with a final score being the average of the relevant items. CMS is a 10-item questionnaire that measures two types of mindsets towards creativity, a fixed mindset (5-items), representing a view that creativity is
on the unique challenges of underrepresentedstudent populations in rural parts of the U.S. Results from this study will go into furtherinforming the current mentoring model utilized in Botswana. In addition, this study will provideinsight into the best practices for facilitating a virtual-mentoring experience through the use of asoftware application in facilitating long-distance mentoring relationships. Researchers willinvestigate its viability to serve as a mentoring tool in Botswana. Finally, this research study willdevelop formative and summative evaluation tools that will help investigate the impact of theBotswana mentorship program on female students’ self-efficacy, interests, and perceptions ofSTEM careers. NC State is uniquely
confident while those withno prior experience more commonly indicate being somewhat confident; both groups havesimilar rates for the not confident response. The data presented here is consistent with the studyby Metraglia et.al. [9] who found that first-year engineering students from technical high schoolsthat most likely had CAD offered exhibited higher levels of self-efficacy compared to their peerswho did not have prior CAD experience.Figure 2 Student confidence following lab assignments for (a) students with no previous CADexperience compared to (b) students with previous CAD experience. Note: The studentconfidence data for Lab1 was not available due to a technological error.Recorded DemonstrationsIn each of the lab sessions, the demonstration
school. In fact, Cass, Hazari, Sadler, andSonnert [10] found that only 280 out of 6,860 engineering students were interested in pursuing anengineering career at the beginning of high school. As the nation’s need for highly qualified engineering professionals grows, policymakersand educators have focused their efforts in increasing recruitment and retention of womenpursuing post-secondary engineering degrees and engineering careers. While self-efficacy hasbeen found to be a significant factor in predicting academic success of women pursuing non-traditional career paths, such as engineering [11] the exact nature of how engineering curriculumand engineering contexts impacts self-efficacy for women remains unclear [9]. Exploring thefactors
accessing therequired technical information either through the library or online platforms; and, Questionnaire#2 (Fig. 2) which focused on the students’ communication and collaboration self-efficacy(adapted from one author’s previous work). Cronbach’s Alphas for Questionnaire #1 was 0.832,N=30, and for Questionnaire #2 was 0.794, N=29, respectively.Questionnaire #1 aligns with ABET Criterion 3, Outcome (1) “an ability to apply knowledge,techniques, skills and modern tools of mathematics, science, engineering, and technology tosolve broadly-defined engineering problems appropriate to the discipline”. Questionnaire #2aligns with Criterion 3 Outcome (5) “an ability to function effectively as a member as well as aleader on technical teams”. The
Understand System verification and validation UnderstandTo gauge the benefits of an intervention aimed at teaching ST and SE concepts in a mechanicalengineering undergraduate course, it is desirable to have an assessment instrument that is not tiedto the course and that can supplement data collected from evaluations based on course activitiessuch as homework assignments. One instrument that is available for that purpose is the SystemsThinking Skills Survey (STSS) [26]. The STSS has two main sections. In the first sectionstudents report their perceived self-efficacy in a number of ST/SE knowledge, skills, and abilities(KSAs). In the second, students demonstrate their proficiency in selected ST/SE concepts
years, researchers have explored the possibility of incorporating maker activities informal school classrooms [1]. In a year-long study with 121 middle-school students (ages 8-11)who participated in weekly maker activities incorporated into school days, Chu et al., foundsignificant impacts on students’ science self-efficacy and identity, as well as, making self-efficacy and interest. The researchers developed a series of survey instruments for the projectthat they deployed in a pretest-posttest mode to measure youth’s interest, self-efficacy and self-identity with respect to making and science [1].In addition to the type of assessment and the specific tools used, the mode of deployment canalso impact results. The majority of previous studies in
our research group include a more detailed synthesis of these frameworks and thedevelopment and validation of a measure that can be used across different outreach programs.Conclusion The current body of literature suggests the presence of common impacts onundergraduate engineering students who participate in outreach. Communication and technicalskills were frequently included as an area of improvement, along with motivational and identity-related constructs such as identification with engineering and self-efficacy for professionalbehaviors. Although research and evaluation of engineering outreach has increased over the past20 years, further efforts must more clearly theorize, assess, and compare the impact of varioustypes and
c Society for Engineering Education, 2020 Studying the Factors affecting Women Recruitment and Retention in Engineering Alissa Papernik, Amanda Dias-Liebold, Anu Osta, Jennifer Kadlowec Rowan University, Glassboro, NJAbstractWomen in engineering face different challenges than men in engineering programs due toengineering being a male dominated field. This impacts their recruitment, retention, and futurecareer paths. Women often face issues such as lowered sense of self-efficacy, poorer groupexperiences, and less stable support networks. The goal of this multi-semester study was to findthe factors that help recruit and retain women engineering