are especially prevalent in the middle school grades for female students. Therefore,before peer pressure and popular culture lures them away from self-efficacy in math and science,outreach to females outside of the traditional classroom is crucial. For this research project,thirteen middle school students were invited to attend a summer camp hosted in theenvironmental engineering laboratory at North Carolina Agricultural & Technical StateUniversity. Three environmental and public health “cases” or stories were developed to increasethe student interest in science and environmental engineering. The girls were grouped into teamsand each group was assigned one of the three cases in which a community member or petbecame sick due to an unknown
supporting curriculum andmethods to identify and support students with latent STEM talents. We are collaborativelyrefining the existing Arts & Bots robotics kit to better reveal student abilities and createenrichment activities to allow teachers to cultivate these talents in their classes. Finally, we are Page 24.685.3refining and implementing tools to support the summative and formative evaluation of theprogram including assessing teacher student-talent identification skills, teacher technologyattitudes, student self-efficacy and student attitudes towards engineering and technology.Talent Recognition and TrainingThis partnership’s primary
those in the earlier rounds of the Delphiprocess as an essential component of engineering global preparedness that they termed “personalqualities.” Specifically, they suggested, “Personal qualities are something we want individualsto have. We can cultivate the qualities.” Additionally and particular to this category, a number ofitems put forth during the Delphi process were recommended by the SMEs as candidate items ofpersonal qualities including “mental agility/flexibility,” “curiosity,” “self-efficacy/can-do-attitude,” “desire to experience other cultures,” “open positive attitude,” “integrated thinking,”“cultural self-awareness,” “integrity,” and “ability to work well with others
Paper ID #9250Effects of Continuous Teacher Professional Development in Engineering onElementary TeachersDr. So Yoon Yoon, Texas A&M University So Yoon Yoon, Ph.D., is a post-doctoral research associate at Texas A&M University. She received her Ph.D. and M.S.Ed.in Educational Psychology with the specialties in Gifted Education and Research Methods & Measurement, respectively, from Purdue University. Her work centers on the development and validation of instruments, particularly useful for P-16 STEM education settings (e.g., the Revised PSVT:R, the Teaching Engineering Self-efficacy Scale [TESS], the extended
, Schmidt,and Brenner12 posited that a person’s interest in a given activity is based on two concepts: 1)self-efficacy or beliefs about one’s own personal capabilities; and 2) outcome expectations orbeliefs about the outcomes of engaging in a particular course of action.Entrepreneurial intention, was chosen because intentions are a critical predictor of any plannedbehavior, including entrepreneurship. Intention clarifies what are the triggers of opportunityscanning, such as where sources of ideas for a business venture come from, and how a ventureultimately becomes a reality11. Starting a business is an intentional act and strong intentions tostart a business are likely to result in an eventual attempt11.We propose that alumni who have shown both
. Competence can be related to having a desireto master certain skills, and can promote intrinsic motivation when accompanied by a sense ofautonomy. Competence is also the belief in one’s self-efficacy to meet thechallenges. Relatedness can be thought of as a sense of purpose of pursuing certain actions orbeing connected to others in a social framework. Intrinsic motivation has been linked to variouseducational outcomes across the age span from elementary school to college students [27]. Theresearch findings suggest that intrinsically motivated students are more likely to stay in school[28] , and achieve positive academic performance as measured by standardized achievement testsand by teachers’ ratings [24,25,26,27,28,29,30].Key Features of the
processing questions, as well as the average scores of inherentprecursor for sustaining long-term learning. Therefore, interest, perceived importance, and self-efficacy questions forevaluating students’ inherent interest is especially critical for the two groups. In the overall scores, Group II performed aboutprofessional skills assessment, where sustainable, long-term 5% higher than Group I did (with a statistical significance oflearning is paramount. In this study, participants’ inherent p=0.011). The overall test score in Table II indicated a slightinterests were measured using the three Likert-scale questions progress in teamwork communication skills of students, but(five levels ranging from 1-Not Interested
. R., & Lee, H. S. (2010). Measuring engineering design self-efficacy. Journal of Engineering Education, 99(1), 71-79.6 Zoltowski, C. B., Oakes, W. C., & Cardella, M. E. (2012). Students’ ways of experiencing human-centered design. Journal of Engineering Education, 101(1), 28-59.7 Charyton, C. et al. (2011). Assessing creativity specific to engineering with the revised creative engineering design assessment. Journal of Engineering Education, 100(4), 778-799.8 Schilling, W. W. (2012). Effective assessment of engineering design in an exam environment. Proceedings from the 2012 ASEE Conference.9 Sobek, D. K. (2002). Preliminary Findings from Coding Student Design Journals. Proceedings from the 2002 ASEE Conference.10 Nesbit, S
and performance.1 The study results showed asignificant inverse correlation between faculty distance (approachability and accessibility) andother constructs measured such as self-efficacy, academic confidence, and critical thinking.The living situation (on-campus, commuter, etc.) has a significant impact on students’persistence.4 Many studies support the positive benefits of participation in a living-learningcommunity. Soldner et al.5 state that participation in a science, technology, engineering, or math(STEM) living-learning community “have the capacity to enhance the quality of students’ peerand faculty interactions and deepen their sense of social support” (p. 330). However, somestudies found only small positive relationships between
Page 24.890.4activities.”(p. 17) Within SCCT, interest items typically address interests in activities that relateto the career and consider the age and experience appropriate level for the participants, i.e. highschool versus college. In addition, interests can be assessed as a continuum, for example, fromstrongly dislike to strongly like an activity. SCCT posits that interests directly influence careergoals and are mediated by one’s self-efficacy (perceived ability to perform a task or negotiate anobstacle) and outcome expectations (e.g. consequences of trying a career choice).Environmental, or contextual, influences are divided into background (distal) and proximalwithin SCCT. The background context is modeled as an eventual influence of
level languages are more thoroughly understood. This paperdescribes a high school STEM education curriculum that provided sophomores hands-onopportunities to learn and understand microcontrollers through assembly language projects. Thecourse assessment evaluated the students’ computer science knowledge, course expectations,learning perspectives, creativity, and future field of study interests. Initial results indicate thatstudents have a greater breadth of knowledge, a stronger positive perception of computerscience, and a greater self-efficacy while at least maintaining student interest and creativity.Observations of the students indicate that the investigative nature of programming withmicrocontrollers is motivating the students to seek
the building of confidence in conducting research 65. These instruments have been developed by an external evaluator and will be collected by PI.• Course evaluations: The standard questionnaire administered by Rowan will be collected by the course instructor and will serve to provide student feedback on the experiments. Data will be collected by PI.• Surveys of K-12 educators and other partners: Reflective journals and surveys that measure teachers’ self-efficacy, concerns on adoption of the modules, and their students’ career aspirations towards engineering and perceived impact on students’ knowledge and attitudes will be administered. These instruments have been tested and validated by INSPIRE (external evaluator) and
was previously with the University of Kentucky, Lexington, in a similar position from 1996 to 1999. Her research interests in engineering education focus on the role of belonging, self-efficacy, and other non-cognitive factors on success and persistence. She is also managing director of Coming Alongside, a non-profit environmental health services organization.Prof. Rebecca A. Bates, Minnesota State University, MankatoDr. Cheryl Allendoerfer, University of WashingtonProf. Diane Carlson Jones Ph.D, University of WashingtonDr. Tamara Floyd-Smith, Tuskegee University Tamara Floyd-Smith is a Professor of Chemical Engineering, 3M Scholar and Adjunct Professor of Ma- terials Science and Engineering at Tuskegee University.Dr
, 26, 20-29.4. Potter, C., Van Der Merwe, E., Kaufman, W., and Delacour, J. (2006). A LongitudinalEvaluative Study of Student Difficulties with Engineering Graphics. European Journal ofEngineering Education. 31(2), 201-214.5. Kozhevnikov, M., Kozhevnikov, M., Yu, C.J., and Blazhenkova, O., (2013). Creativity,Visualization Abilities, and Visual Cognitive Style. British Journal of Educational Psychology.83, 196-209.6. Frey, G., and Baird, D. (2000). Does Rapid Prototyping Improve Student VisualizationSkills. Journal of Industrial Technology. 16(4), 2-6.7. Towle, E., Mann, J., Kinsey, B., O’Brien, E et.al. (2005). Assessing the Self Efficacy andSpatial Ability of Engineering Students from Multiple Disciplines. 35th ASEE Frontiers inEducation
Objectives and Criteria with Requirements for Industry Involvement,” Proceedings of the 2002 American Society for Engineering Page 24.771.8 Education Annual Conference & Exposition.3. Adam Carberry, Hee-Sun Lee, Matthew Ohland, “Measuring Engineering Design Self-Efficacy,” Journal of Engineering Education, 99(1), 71-79, 2010.4. J. Darrell Gibson, M. Patricia Brackin, “Techniques for the Implementation and Administration of Industrial Projects for Engineering Design Courses,” Proceedings of the 1999 American Society for Engineering Education Annual Conference & Exposition.5. James Noble, “An
learning activity. The authors surveyed the participants pre and post participation. The survey instrument assessed each student’s interest and self- efficacy in STEM. This paper highlights the process of development and implementation, and shares a few of the key insights aggregated through the survey.Background The impetus for this study resulted from the Naval STEM Forum in 2011. At this forum Dr.Truscott was inspired by the Sponsoring Scholars in Science Funding Initiative in which seven majorchallenges were issued. One of the topics “Designing affordable sensors for the SeaPerch RemotelyOperated Vehicle” was extremely applicable to his previous experience with the SeaPerch program
and 4 seek to build intuition and curiosity in the students by providing a broadoverview of EE and CpE. These three goals work together to pique the students’ interest enoughto continue in the major. Conversations with advanced students in the major indicate that a fewwere frustrated by the lack of detail in the first course. Their comments indicate a hunger thatwill be fed as they move through the rest of the major.Another strong motivator for students choosing engineering as a career path is self-efficacy orthe belief in one’s ability to perform a task within a specific domain. If a student believes she orhe will succeed, then success is more likely. Jones and others [7] have shown there is a stronglink between self-efficacy and persistence
Visualization Effectiveness Using EEG and Cognitive Load. Eurographics, 2011. 30(3): p. 791-800.16. Guttormsen, S. and P.G. Zimmerman, Investigating Means to Reduce Cognitive Load from Animations: Applying Differentiated Measures of Knowledge Representation. Journal of Research on Technology in Education, 2007. 40(1): p. 64-78.17. Baddeley, A., Working Memory: Looking Back and Looking Forward. Nature Reviews: Neuroscience, 2003. 4: p. 829-839.18. Hoffman, B. and G. Schraw, The influence of self-efficacy and working memory capacity on problem solving efficiency. Learning and Individual Differences, 2009. 19: p. 91-100.19. Hoffman, B. and G. Schraw, Conceptions of Efficiency: Applications in Learning and Problem
cognitive psychology and neuroscience.14-174.1. Assessment StrategyWe adopted the following assessment strategy:Student Motivation. To examine how the EGC framework influences student motivation andsubsequent academic achievement, we assess students’ perceived competence in andinterest/value for engineering. Perceived competence was measured using the 5-item self-efficacy scale from the Patterns of Adaptive Learning Survey (PALS).18 A sample item includes‘I’m certain I can master the skills taught in my engineering courses.’ Personal interest wasassessed using an 8-item scale developed by Linnenbrink-Garcia and colleagues.19 Sample itemsinclude ‘Engineering is exciting to me’ (enjoyment) and ‘Engineering is practical for me toknow’ (value). Finally
biomedical # of students enrol- concentration Measurement ofFunding from courses ling into single Increase secondary Self efficacy forNSF Workshop courses of the con- students under- STEM and Career material for centration standing and inter- aspirations (for secondary # of students est in STEM ca- secondary and school teach- Improved and new- reers post-secondary
generally available to students of any major. Academic minors Page 24.265.4and certificate programs comprised about three-quarters of the sample; the other programs werecategorized as fellows or scholars programs, residential programs, concentrations,specializations, and tracks.There is evidence that exposing engineering students to entrepreneurship has a positive impacton the intention to become an entrepreneur, entrepreneurial self-efficacy, and better preparesthem for the contemporary workplace (Lüthje & Franke, 2004; Souitaris, Zerbinati, & Al-Laham,2007). Duval, Shartrand, & Reed-Rhoads (in press) found that senior-level engineering
found to increase ormaintain students’ confidence and interest in STEM subjects and sense of empowerment.13-16Researchers have noted, however, that that sustaining this interest beyond the observed activityis critical.13 In a long-term study, Tyler-Wood et al. found that even younger girls (4th and 5thgraders) in an ongoing afterschool science program with female high school students as mentorsshowed stronger self-efficacy in STEM fields well into high school and college.17 More importantly, the study may reflect that when engineering and technology arepresented as gender neutral or even as feminine, girls are free to explore engineering withoutgrappling with the traditional gender stereotypes associated with engineering or
suggested that people rarely do truly creative work in an area unless they really love what they are doing and focus on the work rather than the potential rewards.5. Personality. Numerous research investigations have supported the importance of certain personality attributes for creative functioning. These attributes include, but are not limited to, willingness to overcome obstacles, willingness to take sensible risks, willingness to tolerate ambiguity, and self-efficacy. In particular, buying low and selling high typically means defying the crowd, so that one has to be willing to stand up to conventions if one wants to think and act in creative ways. Often creative people seek opposition; that is, they decide to think in ways that
context of discussion forums (Table 1). Complete citations for theinstruments, and studies of their application, are provided in Appendix I. Page 24.896.2Table 1. Instruments investigated.Name ReferenceAcademic Confidence Scale (ACS) (Sander & Sanders, 2003; Bandura, 2001)Academic Self Efficacy Scale (ASES) (Elias & Loomis, 2000; Lent et al., 1997; 1986)Motivated Strategies for Learning (Pintrich et al., 1991)Questionnaire (MSLQ)Academic Locus of Control (LOC) (Rotter, 1966; Trice, 1985)Patterns of Adaptive Learning
that lacks certainty students often fumble at whattheir next step is, using their own developing judgment and sense of self efficacy to moveforward.We hypothesize that both the breadth and frequency of iterative steps in the design process givestudents more learning moments to apply their model of the design process, helping to rectifymisconceptions and realign their mental model of their design process. The author is building onpreliminary observations of student design activity and learning in ME310 and a pilot study of aqualitative content analysis of student design documentation from past years.18 The basicpedagogical approach as evidenced by course assignments and milestones to teaching design inthe ME310 course is comparable to the
Education, 10,(2), 123-140.Sherin, M. G & van Es., E. A. (2009). Effects of video club participation on teachers' professional vision. Journal of Teacher Education, 60(1), 20-37Weilan, I., Rogers, M. P., Akerson, V., & Pongsanon, K. (2010). Proposing a video-based measure of preservice teachers' abilities to predict elementary students' scientific reasoning. Paper presented at the annual conference of the Association for Science Teacher Education.Yoon, S. Y., Evans, M. G., & Strobel, J. (2012). Development of the teaching engineering self-efficacy scale (TESS) for K-12 teachers. In Proceedings of the 119th American Society for Engineering Education Annual Conference and Exposition, San Antonio, TX
mathematics aptitude measured using ACT and/or SAT Math scoresand not only enrolling in, but also performing well in advanced science (i.e. physics) andmathematics (i.e. calculus) courses in high school.1-3 Additionally self-efficacy, determinedfrom student survey responses to questions designed to gauge their confidence in theirquantitative abilities, parental educational attainment and geographic location (i.e. urban versusrural home) have been found to impact engineering student persistence and achievement. 4,5 Oneof the primary first year indicators is grade point average (GPA), which is indicative of students’quantitative and analytical capabilities, as first year engineering curricula are dominated bymathematics, science and fundamental
and affective memories are influenced by individuals’ perceptions of otherpeople’s attitudes and expectations for them, and by their own interpretations of theirprevious achievement outcomes8.According to another related theory on motivation, the social cognitive career theory(SCCT)9 explained that persistence is influenced by self-efficacy, goals, interest, contextualsupports/barriers and outcome expectations10. It is reported that outcome expectations andself-efficacy influence engineering students’ interest to study engineering10-13. Therefore,students’ expectation is one of the very important factors to retain students’ interest andpersistence in studying engineering and eventually to pursue career in engineering.In order to help first
. & Yeo, T. P. Measuring the effectiveness of faculty mentoring relationships. Academic Medicine 80, 66 (2005).18 Hayes, E. F. Mentoring and nurse practitioner student self-efficacy. Western Journal of Nursing Research 20, 521 (1998).19 Yost, R. “I think I can”: Mentoring as a means of enhancing teacher efficacy. The Clearing House 75, 195- 197 (2002).20 Blake Beard, S., Bayne, M. L., Crosby, F. J. & Muller, C. B. Matching by race and gender in mentoring relationships: Keeping our eyes on the prize. Journal of Social issues 67, 622-643 (2011).21 Blake-Beard, S. D. Taking a hard look at formal mentoring programs: A consideration of potential challenges facing women. Journal of Management Development 20