make plans to leaveengineering after earning an undergraduate degree 11, there is a need to examine what factorscontribute engineering students’ post-graduate plans using large scale data sets. Such studentsmay help undergraduate engineering programs design interventions to keep engineering studentsin the engineering graduate programs and profession.Students’ Self-assessments of Abilities and Graduate School Plans Most research identifies academic preparedness in mathematics and science at an earlyage as one of the most salient factors influencing engineering student choice of graduate schoolin engineering5. However, Bandura argued that students aspire to careers based on not only theirqualifications but also their self-efficacy in
measure will be used to explain retention rates and not as an outcomemeasure. Table 6: Engineering Toy FUN-damentals Student Efficacy (Fall 2009-Spring 2010). Pre-Survey Post-Survey Engineering Efficacy Scale α M SD α M SD t(138) 1 Communication Self-Efficacy .86 7.62 1.49 .83 8.02 1.25 -3.24** 2 Coping Self-Efficacy .76 4.83 .78 .71 4.89 .70 -1.14 Engineering Career Success .85 5.06 .67 .88 5.13 .67 -1.50 Expectations2
science, but also students’ self-perceptions of their abilities (e.g., self concept, efficacy,expectations for success) and their interest in math and science. Models of academicachievement and occupation choices 2,4,7 suggest that self-perceptions and expectations forsuccess are the more proximal predictors of academic and career choices. In fact they are betterpredictors than actual achievement indicators such as math and science grades. Efficacy beliefsare also strong predictors of adaptation and change as well as academic aspirations, level ofmotivation and resilience.2 For these reasons, we examine students’ self efficacy and interest inmath and science as our primary measures of academic outcomes post-transition.To summarize, the purpose of
teacher certification to engineering students. A small, butgrowing number of engineering colleges are offering general engineering degrees combined with K-12teaching certification.26 Very recent research is underway to actually assess which programs are effective for learning andstimulating interest to pursue STEM fields in college. It is intended to be the first step in evaluating theability of K-12 outreach programs to prepare students to study engineering in college30. This study wasconcerned with the association between types of engineering exposure (e.g., class, field trip, summercamp, etc.) and engineering self-efficacy. The results revealed that there was not a significant differencein self-efficacy scores between the students who
engineering attitude survey (EAS1), inaddition to the MAT and PEQ1. In the following spring, students completed an altered attitudesurvey, EAS2, and the MAT. EAS1 was the Pittsburgh Freshmen Engineering AttitudeSurvey.15 EAS2 was a modified shorter version of EAS1. EAS1 questions with low correlation toMAT were removed. Six questions were added from a tinkering self-efficacy questionnaire tobetter capture differences in hands-on self-efficacy.16 In total the EAS2 was shortened to 35questions. Table 11 shows the attitude questions with the most significant differences betweenmale and female students. Note that the male student responses on average reflect moreconfidence in and enjoyment of hands-on activities
faculty in 2003. Her current research interests are twofold: as well as her research in biological materials (cur- rently focused on bioderived plastics synthesized by bees), she also researches the engineering student experience, including persistence and migration, differences by gender, and the role of self-efficacy in project-based learning. In 2010, she received an NSF CAREER Award in support of her research on engineering education.Caitrin Lynch, Olin College of Engineering Caitrin Lynch is an Associate Professor of Anthropology at Franklin W. Olin College of Engineering. Her research concerns gender, work, aging, and globalization, with a focus the United States and Sri Lanka. She is the author of the book
courses have noticed a marked increase in students’ confidencelevels over the course of the spatial training. Could a student’s confidence (and therefore theirspatial skills) influence their success and their career choices?Studies have shown the impact of confidence or self-efficacy on student success. For example,Lent et al. (1984)7 found that students reporting high self-efficacy (confidence in their ability to Page 22.1314.2successfully complete various scientific and engineering degrees) achieved higher grades andpersisted longer in scientific and technical programs than those that reported low self-efficacy.Additionally, Towle et al
. In Fall 2010, the ranking ofdesign activities was done at the end of the intermediate design course. In the future, we plan toconduct this activity at the beginning and end of the course and assess differences in students’responses.4.1c Design SurveyThe self-efficacy design survey developed by Carberry et al.17 was used to measure students’self-concepts towards engineering design. Students are asked to evaluate their confidence,motivation, success, and anxiety in performing nine different design tasks. The question stemdirections state: “Rate your degree of confidence/motivation/success/anxiety in performing thefollowing tasks by recording a number from 0 to 100.” The tasks listed under each stem are:conduct engineering design, identify a
3 1 0 4.2 of success in future math courses. 5. The lab sections aided my 1 15 5 6 0 3.4 understanding of the lecture material.Mathematics self-efficacy was also examined using qualitative and quantitative pre and post-ENGR 107 measures. Students were interviewed before and after the course. Preliminaryinterviews focused on students’ math backgrounds and confidence in their math abilities. Postcourse interviews focused on students’ perceived value of the course overall and on theirdevelopment of beliefs to be successful in college math. Pre and post-surveys were identical andconsisted of two scales, one listing 18 math problems relevant to pre-calculus and
), 335-38.8. Hutchison, M. A., Follman, D.K., Sumpter, M., and Bodner, G.M. (2006). Factors influencing the self- efficacy beliefs of first-year engineering students. Journal of Engineering Education, 96(1), 39-47.9. Yurtseven, H.O. (2002). How does the image of engineering affect student recruitment and retention? A perspective from the USA. Global Journal of Engineering Education 6 (1), 17-23.10. Li, Q., McCoach, D.B., Swaminathan, H., and Tang, J. (2008). Development of an instrument to measure perspectives of engineering education among college students. Journal of Engineering Education 97(1), 47-5611. CCSD Fast Facts 2009-10. Clark County School District, http://ccsd.net/news/publications/pdf/CCSDFastFacts.pdf
institutions are committed to the intellectual and social growth of students; that is, theyare committed to their education and not just retention.Community BuildingThe ability to successfully adjust to the emotional, cognitive, and social challenges of living onone‟s own for the first time, develop new friends and support networks, examine personal valuesand beliefs, explore various career options, and choose/succeed in a major is dependent on robustself-efficacy.24,25,26,27,28,29,30,31,32,33,34 Self-efficacy is the belief in one‟s ability to organize andexecute courses of action to achieve specific outcomes.24 The rigor of the engineering curriculumaffects self-efficacy appraisals and students‟ choices about persisting in the major, particularlyfor
-efficacy to practice sustainable engineering, were foundsignificant. These three constructs were used as a basis for developing a revised instrument.The second version of the survey is geared towards measuring students' motivation to practicesustainable engineering. The thirty-five survey questions comprising the second instrument arestructured in an Expectancy Value Theory framework in the domain of sustainable engineering,comprised of self-efficacy, motivation, and affect27,28. The quantitative assessment survey wasintended to be administered after the qualitative instrument. It is comprised of several sections.The revised survey takes about five minutes to complete and opens with a consent form,institution attending, and code name for linkage
a seven-segment LED numberdisplay. As students’ intuition for electricity develops, they are introduced to the couplingsbetween electric current and magnetic fields through projects involving motors and speakers.Other projects discussed in this paper include trusses (vectors and forces), servo efficiency(energy conversion), accelerometers (programming, vectors and gravity), homemade guitars(waves and sound), solar ovens (energy and heat), and digital cameras (gravity and projectilemotion).The central focus of the NASA-Threads curriculum is to tie fundamental STEM topics tointeresting applications. This paper documents a selection of our major projects and alsoprovides data related to teacher self-efficacy for a summer 2011 workshop that
, management, and assessment (for varying types of LTSexperiences, course levels, institutional cultures, program characteristics, disciplinary settings,community partner characteristics, student characteristics, etc.). Aligned with project goal #2, theassessment efforts will involve measuring how LTS impacts student learning and how facultycan use assessments to increase and enhance implementation of LTS efforts. Typical assessments Page 22.1444.10centered on students include measures of (a) student motivation and engagement, (b) self-efficacy, (c) student perceptions and learning outcomes during different types of LTSexperiences, etc. Findings from
underutilized as a wellspringfor STEM workforce development planning. Page 22.1209.2 While it is useful to test SCCT using nomothetic, quantitative methods, it is valuable tocomplement such research with idiographic, qualitative methods capable of elaborating specificself and environmental percepts that could inform educational interventions. For example, priorwork on SCCT has established that social supports and barriers generally have been linked topersistence in engineering majors (largely indirectly, through their relation to self-efficacy), butthe mostly nomothetic research on this issue has focused on global aspects of supports andbarriers
problems as they read the book. See Figure 6.Figure 6. “Learning Computer Science with JavaGrinder" is a textbook we have developed that links the textto the JavaGrinder environment.7. Future WorkThe work described in this paper is ongoing. We are in the process of analyzing student self-efficacy and in measuring student success and satisfaction in the context of JavaGrinder. Whileour core mission with JavaGrinder is to support a web-based approach to learning Java, we havebegun developing a mobile off-line solution for devices like the iPad. What is emerging is anecosystem of JavaGrinder related service that can span across the client and the cloud to supportdifferent capabilities for different learning platforms
10.74 12.23 13.99 Engineering (percentage of total transfer students entering UNL)Impact on Student Participants UNL-STEP students who are enrolled in one of the four engineering courses are asked tocomplete a student survey. CC faculty teaching these courses are asked to assist in providingparticipating students with evaluation materials. The instructors distribute informed consentforms and information about how to access the online survey to their students. The surveyincludes measures of student demographic characteristics including gender and ethnicity. Thesurvey also includes measures of the following outcomes based on Social Cognitive CareerTheory (SCCT): Self-efficacy for engineering tasks, self-efficacy for
communityconnectedness (β=0.146, p<0.05). Moreover, results indicated that dominant ethnic group(namely the reported Caucasian ethnic group) held lower levels of global centrism (β=-0.203,p=0.06). In terms of engineering efficacy, the results indicate a negative/inverse relationshipbetween engineering efficacy and being an international student (β=-0.215, p<0.05). This findingmay be attributed to fundamental difference in educational systems, structures and pedagogicalpractices between students’ home country and the United States university systems, which may,in turn, contribute to lower self-efficacy in engineering. Lastly, the regression analyses revealed that studying abroad in a culture different fromstudents’ culture of origin was
scores and students comments, it is apparent that students feel prepared for furtherlearning in FMHT. The cognitive measures indicate that students made significant gains in thefirst three components of Finks taxonomy (knowledge, application and integration). A follow-upto gauge how the students in this sequel compare to those who did not, especially in the cognitivedomain, would be quite interesting. The survey also show gains in the “caring” dimension of thetaxonomy which can also be tied to the “value” motivational theory. There was indication thatthe students have a high level of self-efficacy and self expectancy feelings towards this class andthe sequel. A good number of the students, surprisingly, appeared to show an achievement
of aninnovation. For example, effective learning should not only include use of classroom clickers bythemselves, but also in engaging in social construction of knowledge by peer discussion ofclicker responses. The last suggestion is to facilitate implementation of innovation by workingwith peers through workshops and colloquia. This needs to be done to provide personal supportand build self efficacy for instructors who want to implement innovative materials and practicesin their classrooms. These concepts and ideas about implementation and diffusion of innovativeteaching materials in STEM were used to inform development of materials described in thispaper.Adaptation of more effective teaching and learning requires that new materials be not
work collaboratively. Reasons for this are that methods for assessing andproviding feedback to students relative to team learning are not well developed and are Page 22.241.2challenging to implement.In response to this opportunity, we have designed, developed, and evaluate targeted assessmentstrategies that specifically focus on improving team learning and performance practices. Fouruniversity programs are described with reference to the team assessment measures deemedappropriate within each context. Assessment measures developed include a cross-disciplinaryteam learning (CDTL) self-efficacy; a survey of cross-disciplinary functioning; and a
STEM skills and self-efficacy,8 (b)provide college credits5 to eligible students, and (c) mitigating the disconnect between college and highschool education.9 EI is becoming popular and increasing number of participants are joining thisprogram, not only from the USA but alsofrom the abroad. In 2011, 307 high EI Participantsschool students attended EI program at 300various sites in the USA (Fig. 1). 250During 2011, following 16 sections were Number of
decision, deep learning, self efficacy, surface learning, team, and motivation. The highschool history matrix includes SAT/ACT scores, high school core GPA, high school math,English, and science grades, and number of semesters taken. Outcomes of the model can beretention in engineering and academic performance through students’ undergraduate study.In this study, only seven of the affective measures were included. Also, as a starting point, weonly focused on retention and GPA after one year. The results of this study will help determinethe potential of using neural networks to model a larger list of outcomes in the future. Page 22.70.3
she needs to report to the team leader on theprogress and problems encountered when it happens.The process of selecting team leaders and team members help each student to reaffirm his or role in the team.Project Assessment ComponentsProject assessment and evaluation component discusses the needs for effective assessment of the approachused in this project. Both pre-engineering design self-efficacy survey and post engineering design self-efficacy survey tools were used. Formative and summative assessments tools for the project have developedand used to measure the effective of this project.Instructors will use the Design Strategies Matrix developed by Dr.Crismond [14] as a rubric to assessstudents’ growth in using select design strategies in
regarding major enrollment.Helpful FactorsThe survey asked participants to rate on a 5-point Likert any help they acquired from theinternship, the graduation project, professional societies, career centers, and professionalcertificates (1= Not helpful at all, 5= Very helpful). The internship appears to be very helpful (μ=4.2). Previous studies have shown the internship as one of the most important factors that helpsstudents work independently and take decisions17. Internships are viewed as a positivedevelopmental experience for college students with several favourable outcomes such asimproving career decision-making and self-efficacy and allowing the student to acquire jobrelevant skills18. The graduation project also seems to be a supportive
information available in the environment in combination withwhat they already know, (b) learners can control and regulate aspects of their thinking, motivation,and behavior and in some instances their environment, (c) learners compares their progress toward agoal against some criterion and this comparison informs the learner of the status of progress towardthe goal, and (d) self-regulatory mechanisms mediate between the person, the context, andachievement (pp 387-388). Zimmerman emphasized that in addition to metacognitive skill,students need a sense of self-efficacy and personal agency for success in self-directedenvironments. 16 From these descriptions, it is clear that self-regulation involves many forms ofautonomy.Based on this description of
designated Title III institution, CSULA has an historic commitment and record ofservice in meeting the educational needs of Los Angeles’ culturally diverse communities.CSULA student body is 53% Hispanic, 22% Asian-American, 15.6% White, 9% African-American, and 0.4% American Indian. As seen by many other minority-serving institutions,students from underrepresented minority groups usually encounter significant learning barriersthat prevent them from achieving their academic goals. As many of our students are firstgeneration college students in their families, lack of family support usually leads to lesspersistence and low self-efficacy in learning. In addition, poor financial condition imposesanother significant barrier to student learning. An
of Chief State Offices, 2005, vol. 10 issue 3. 4. T. Boe, The next step for educators and the technology industry: Investing in teachers. Educational Technology, 1989, 29(3), 39-44. 5. Bureau of Labor Statistics http://www.bls.gov/oco/ocos027.htm 6. C. Czerniak, .& M. Schriver, An examination of preservice science teachers' beliefs and behaviors as related to self-efficacy. Journal of Science Teacher Education, 1994, Volume 5, Number 3, 77-86. 7. N. Fisher, K. Gerdes., T. Logue, L. Smith & I Zimmerman, Improving students' knowledge and attitudes of science through use of hands-on activities. (ERIC Document Reproduction Service No. ED 436 352).1998 8. J. Harvey, & S. Purnell, S
- demonstrated statistically significant increases in understanding that wereconsistent across items. At baseline (fall 2009) and follow-ups, the Art2STEM girls reportedrelatively high levels of achievement self-efficacy and attitudes related to STEM subjects andtopics. Generally, there were few changes over time in these areas. Further, the data suggestmore favorable attitudes towards science, engineering, and math than for technology. In fact,there is some indication that girls’ interest in technology decreased over time. In spring andsummer, girls reported less interest in knowing more about computers than was reported in thefall, and more often reported that visiting a factory was boring. Finally, the girls reported greaterinterest in pursuing
-427.[14] Dunsworth, Q., & Atkinson, R. K. (2007). Fostering multimedia learning of science: Exploring the role of an animated agent’s image. Computers and Education, 49, 677-690.[15] Yung, H.I. (2009). Effects of an animated pedagogical agent with instructional strategies in multimedia learning, Journal of Educational Multimedia and Hypermedia. 18(4), 453-466.[16] Murray, M., & Tenenbaum, G. (2010). Computerized pedagogical agents as an educational means for developing physical self-efficacy and encouraging activity in youth. Journal of Educational Computing and Research. 42(3), 267-283.[17] Moreno R., Reisslein, M., & Ozogul, G. (2010). Using virtual peers to guide visual attention during learning: A test