. Page 25.1058.12References[1] Coyle, E. J., Jamieson, L. H., & Oakes, W. C. (2006). EPICS: Engineering Projects in Community Service.International Journal of Engineering Education, 21(1).[2] Coyle, E. J., Jamieson, L. H., & Oakes, W. C. (2006). Integrating Engineering Education in Community Service:Themes for the Future of Engineering Education. Journal of Engineering Education, Jan 2006.[3] https://engineering.purdue.edu/EPICS/Resources/Forms/design_process_docs.html.[4] Carberry, A. R., Lee, H., & Ohland, M. W. (2011). Measuring Engineering Design Self-Efficacy. Journal ofEngineering Education, 99(1), 71-79.[5] Carberry, A. R., & Swan, C. W. (2011). Developing an Instrument to Measure the Impact of Service onTechnical and
constructive feedback to the observed teacher on his/her performance.Assessment data was collected in the form of a pre and post perceptions of learning survey.Students’ comments on how the peer learning project had helped them to understand andrecognize themselves as teachers and build self-efficacy are described in this paper, along withassessment results, course materials, the assignment rubric, and survey instruments. Challenges Page 25.1436.2experienced with the project are also discussed. Individuals who are involved with teaching GITsor using peer learning in their courses will be interested in this paper.PurposeA valuable skill for graduate
Education, 19, 100-118.9. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215.10. Kerlinger, F.N. and Pedhazur, E.J. (1973). Multiple regression in behavior research. New York: Holt, Rinehart, and Winston.11. Thompson, B. (2006). Research synthesis: Effect sizes. In J. Green, G. Camilli, & P. B. Elmore (Eds.). Handbook of complementary methods in education research (pp. 583–603). Washington, DC: American Educational Research Association.12. Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (MSLQ). Educational and Psychological
implementationEvaluation activities were designed for each of the three principal components of the project andthe retreat. • Scholars study groups: An online survey collected data on the senior and emerging leaders’ motivation for committing three years to the project and baseline data on their personal and professional goals and leadership self-efficacy. The groups met monthly for facilitated discussions and work on their projects, and each of the first two years of the grant ended with an appreciative inquiry session for each group. (Appreciative inquiry is an evaluation technique to gain insight into the strengths of a project directly from the people involved and have them identify ways to build on those strengths.5
Page 25.886.2discovery based approach and a hands-on robotics program will improve students‟ STEMattitudes, math performance, and intentions to pursue STEM education and careers. The theoryof planned behavior5 was used to guide the measurement of students‟ STEM educationoutcomes.A Guided Discovery Approach to STEM EducationTraditional approaches to STEM education can result in disinterested students who may notpursue college-level STEM education and a competitive and hostile educational environment.6We propose that a guided discovery approach is more effective in engaging diverse students inlearning STEM concepts. This engagement will result in increased STEM knowledge andacademic self-efficacy among diverse elementary students.Bruner‟s7
(NSWCCD). The partnership between University of Maryland andNSWCCD allowed for project mentorship by volunteers from NSWCCD, Lockheed Martin, andby the instructor. Within the scope of the project, students must use mathematical fundamentalsto conduct an engineering design. Examples include calculations for carrying capacity andairfoil selection based on experimentally measured principles of aerodynamics, such askinematic equations of motion, lift, drag, and thrust (Figure UM-1).The inclusion of the design project is motivated by the potential to increase the mathematical andengineering self-efficacy that students receive from the course. It is believed that employing themathematical fundamentals acquired in the course to solve real-world
AC 2012-3218: ELICITING STUDENTS’ INTERPRETATIONS OF ENGI-NEERING REPRESENTATIONSDr. Adam R. Carberry, Arizona State University Adam R. Carberry is an Assistant Professor in the College of Technology and Innovation, Department of Engineering at Arizona State University. He earned a B.S. in materials science engineering from Alfred University, and received his M.S. and Ph.D., both from Tufts University, in chemistry and engineering education respectively. His research interests include student conceptions, engineering epistemological beliefs, self-efficacy, and service-learning.Dr. Ann F. McKenna, Arizona State University, Polytechnic Ann F. McKenna is Chair of the Department of Engineering and the Department of
participated in the program more prepared to participate in their Science FairProjects? And is their performance in math and science courses influenced by this experience?This may also include qualitative feedback from the teachers that participated in the pre-activities, I2D2 event, and post-activities.Finally, one other aspect of the program that will be added for the 2012-2013 school yearsurrounds parent involvement. And specifically, exposure of parents to STEM fields and thethought process as well. Numerous studies have been conducted to explore the relationshipbetween parental involvement, support, and views towards their child’s motivation, self-efficacy,and long term aspirations and achievements. For example, Fan and Williams reported
learningaccording to self-efficacy theory.12Unlike typical process simulation packages (HYSYS, ASPEN, PRO/II), in ChemProV thedevelopment of the process flow diagram and the needed balance equations were left entirely tothe students and no numerical solution programming was provided. A number of othereducational software programs for material/energy balance classes have recently appeared, forexample the offerings of Sapling Learning. These tend to be overly prescriptive in the problemsolving procedure employed thus reducing the educational experience for the student. The goalof ChemProV was to provide a scaffold for learning but leave the problem solving strategyflexible enough to accommodate multiple learning styles and approaches. The intent was that
creating and operating an airline, includingpurchasing aircraft; determining where and when the aircraft would fly while ensuringsatisfactory maintenance checks; and determining staffing levels, advertising expenditures, andticket prices. Throughout the week, lectures and activities presented by graduate students andprofessors aided the decision-making process of the new airline executives. The camp alsoincluded two field trips to Atlanta’s Hartsfield-Jackson International Airport and the Delta AirLines’ Heritage Museum. The evaluation of this summer program utilized pre-post surveys tomeasure the impact of camp experience on student self-efficacy and STEM interest. Theevaluation was also designed to determine students’ interest and understanding
, 2005.[4] R.M. Marra, et al. “Women Engineering Students and Self-Efficacy: A Multi-Year, Multi-Institution Study of Women Engineering Student Self-Efficacy,” Journal of Engineering Education, pp. 27-38, 2009.[5] M. Robinson. “Robotics-driven Activities: Can They Improve Middle School Science Learning?” Bulletin of Science, Technology & Society, 2005.[6] A. Baram-Tsabari & A. Yarden. “Quantifying the Gender Gap in Science Interests,” International Journal of Science and Mathematics Education, 2011.[7] Weinberg et al. “The Impact of Robot Projects on Girls’ Attitudes Toward Science and Engineering,” in RSS Robotics in Education Conference, 2007.[8] M.A. Quiroga, M. Herranz, M. Gómez-Abad, M. Kebir, J. Ruiz, Roberto Colom
, service learning, and real world experiencescan help nurture and grow these skills2,3. Through such approaches, students are more engagedand show greater interest6,7.Women in EngineeringHighlighting engineering as contributing to society through service learning is more appealing towomen4,8. Furthermore, Fouad and Singh9 recommend promoting the human-value ofengineering and supporting women’s self-efficacy not only in technical skills, but careermanagement and workplace skills and behaviors to recruit and retain women in engineering.Self-efficacy and confidence are important factors for recruiting and retaining women, as mostwomen who drop out of engineering report lower confidence in engineering skills even thoughtheir competence is comparable
4: Average number ofmessages per forum, Total number of messages per forum and Number of students participatingin each forum. As education researchers, our aim is to correlate these numbers to grades, andconstructs such as motivation, and self-efficacy, and to study if participation affects learningoutcomes. Each graph shows bars that correspond to numbers of initial posts, responses and totalposts. The instructor suggested that longer threads might mean more student confusion, andgenerally speaking, more activity means more student problems. He commented that he didn’tneed to see all the forums, only the one theoretical (lecture) forum and the four project(assignment) forums were important. The assignments were mutually exclusive, so he
engineering 9/16 16/17 Learn about engineering research 10/16 17/17 Engage in engineering research 12/16 16/17 Enhance my knowledge of technology 11/16 17/17 Design an engineering-based lesson for my classroom 11/16 17/17 Form partnerships with other schools 8/16 8/17___________________________________________________________________________________________Teachers also responded to questions about their confidence level or motivation (self-efficacy)for various aspects of their teaching (See Table 3). Paired
Cultural Intelligence: Definition, Distinctiveness, and Nomological Network. In L. Van Dyne and S. Ang (Eds.), Handbook of Cultural Intelligence: Theory, Measurement, and Applications (3-15). M.E. Sharpe, Inc., Armonk, NY. 2008.23 Earley, P., and Ang, S. Cultural Intelligence: Individual Interactions Across Cultures. Stanford University Press, Palo Alto, CA. 2003.24 Lawrence, N. The Effects of Cultural Intelligence, Self Efficacy and Cross Cultural Communication on Cross Cultural Adaptation of International Students in Taiwan. Masters Thesis. National Taiwan Normal University. 2011. Available at http://ir.lib.ntnu.edu.tw/retrieve/49356/metadata_07_12_s_05_0014.pdf25 Ang, S., Van Dyne, L., and Koh, C. Personality
provide a general overview of student perceptions, the questions on theevaluation fail to address some interesting aspects of student motivation and choice. To addressthis shortcoming, a survey instrument was created and implemented in paper form at the end ofthe Winter 2011 semester in 9 of 11 sections of the course offered that semester, with usableresponses from 420 students (of 499 students enrolled in these sections). Responses wereanonymous and participation was encouraged, but voluntary. The collected data was analyzed inaggregate to determine how students were selecting their section of Engineering 100 and toassess their perceptions of the impact of the specific course they had just completed on theirsense of self-efficacy as an engineer
class or physics class. While all of the students participated inthe InSPIRESS project not all of them were planning to pursue a STEM career in college if theyplanned to attend college at all.Implementation: The researchers in this study collected multiple measures and utilized a quasi-experimental design to assess the impact of the project’s authentic learning activities on thestudents’ attitudes, motivation and self-efficacy toward engineering.At the beginning of the school year, the students were provided with consent forms explainingthe research study. After receipt of the signed consent forms, the Pre-surveys were administeredby the researchers to students who, along with their parents, agreed to participate in the project.The rest of the
No Not Sure relates to the topics being covered by the Metro Map Survey 1 Survey 2 Visualization Tool. Figure 4 – Engineering Self-Efficacy One element of the surveyfocuses on student professional goals. In this element, students are asked about their educationaland professional aspirations. When asked about the highest level of education that studentsdesired to obtain, responses demonstrated no statistically
would be“too burdensome,” although no evidence for this is provided. Because there was nostatistical analysis, the results were inconclusive.Hall and Vance8 investigate the impact that self-explanation has on student performance aswell as self-efficacy in a statistics course. Students in the experimental groupcollaboratively solved problems in teams of three, providing self-explanations of thereasoning behind their answers to one another. Students in a control group solved the sameproblems individually. This study showed that students who generated collaborativeself-explanation perform significantly better at solving problems than students who did not.What these studies have in common is their use of summative performance assessments toshow the
notconducive to deep learning or a quality product. Students get so good at this “team dance” thatthey are not aware of the important issues that they are avoiding11.Language, self-efficacy, and leadership rolesThe typical model that students have of an engineering leader is that of “the boss.” Students donot differentiate between leadership and management authority. This interpretation affects theirself-perception of their own leadership potential. The concept of leadership is one miss-generalized to all situations. Therefore; since the students cannot see themselves in powerfulpositions until well into the future, they have not considered their own personal skills andabilities (efficacy) in regards to leadership12, 13, 14.The necessary step in the
skills, first-year engineering project-based learning (PBL) courses have reported increased gains inknowledge across genders and effectiveness in improving students’ self efficacy and confidencein using the engineering design process.1–4Related research suggests that incorporating service-learning into existing engineering curriculaincreases student learning. In a service context, the needs of the community define the design Page 25.1157.2tasks and provide students with a sense responsibility for being members of a larger community.5Often combined with project-based learning in engineering to form project-based service-learning (PBSL), studies
develop negative impressions about careers in STEM15-16.The academic curriculum for the EMBHSSC focuses on 21st century skills, self-efficacy andteam work. At NJIT the curriculum has a space theme and is aligned with New Jersey CoreCurriculum Content Standards. Students study the properties of space, analyze and predict howobjects move on earth and in space, investigating how people live and survive in space. Inaddition to classroom lessons, students participate in hands-on activities, laboratory experiments,team-build exercises, and go on field trips. Students visit research facilities where they areintroduced to engineers and have the opportunity to see first-hand the career options available tothem if they should choose to study engineering.2
function of many interacting factors. For the early career choice, the SCCTmodel indicates learning outcomes, self-efficacy, outcome expectations, and interests are keyfactors in determining initial goals 6. Figure 1 (used with permission) shows the SCCT model 6, 7.The choice of an engineering career is related to the individual’s belief that he or she has 1) theskills, knowledge, and support to be an engineer, 2) belief and confidence to be an engineer, 3)expectations of the rewards of an engineering career, and 4) an interest to do the kinds of thingsthat engineers do. Page 25.1326.3 Figure 1: Lent, Brown, and Hackett’s SCCT
. (2006). PISA Database: Interactive Data Selection (United States by Sex) Retrieved 11/24/2010, from http://pisa2006.acer.edu.au/interactive.phpPage, M. C., Bailey, L. E., & Van Delinder, J. (2009). The Blue Blazer Club: Masculine Hegemony in Science, Technology, Engineering, and Math Fields. Forum on Public Policy Online.Pajares, F. (1996). Self-Efficacy Beliefs and Mathematical Problem-Solving of Gifted Students. Contemporary Educational Psychology, 21(4), 325-344. doi: DOI: 10.1006/ceps.1996.0025Pajares, F. (Ed.). (2005). Gender Differences in mathematics self-efficacy beliefs. Boston: Cambridge University Press.Parker, W., & Jarolimek, J. (1997). Social studies in elementary education: Prentice-Hall
inquiry activities, students withdrawing orreceiving a D or F dropped from 33% to 18%14. These results impact one of the major concernsof engineering education, that of retention. Motivational and affective beliefs that students bringto learning contexts directly affect their persistence and effort15. Two aspects of motivation havebeen shown to impact learning the most. These are the degree to which students think that theyare capable of completing a learning task (self-efficacy)16 and the degree to which they think thatthe activity is valuable to their long term future17, 18. Students interested short-term value of theirlearning are more likely to use strategies that facilitate quick learning, rather than deepunderstanding, and will be less
.” “The MacGyver projects were fun and effective ways to introduce basic concepts of engineering.” “The projects taught me a lot about teamwork.” “Working in groups because it teaches communication and group skills” Page 25.749.7Figure 2. Persistence of FTIC Engineering students from the AY 2007 cohort enrolled inProject-based First-Year engineering courses compared to peers enrolled in non-PBL lectureformat introductory courses.Additional surveys indicate that PBL students perceive that they have gained both in technicalcompetencies and in self-efficacy through their experiences in class. They express that they aremore
communication orWAC faculty to help identify expectations, perceptions of quality and criteria for effectivecommunication, areas of overlap, skills that are not being addressed, and opportunities forreinforcement or development as students move through the curriculum. A richer understandingof faculty motivation with respect to these issues, to be developed in the next phase of this study,holds strong promise for identifying strategies and tools to support this dialogue. For example,research shows that faculty are uncomfortable teaching skills for which they also have low self-efficacy 34. Building faculty self-efficacy may be a critical part of such dialogs.Teaching teamworkThe findings surrounding teamwork, in contrast, show a strong need for more
. 9 We also conducted some analysis that included additional mathematics and science courses(e.g., algebra 2, chemistry). PLTW students were much more likely to enroll in higher levelmathematics and science courses, which support the findings from Bottom & Uhn (2007). It ispossible, but we cannot conclusively determine, that PLTW’s pre- and co-requisites lead studentsto enrolling in more mathematics and science courses in high school. It is also possible thatPLTW’s program encourage students to enroll in additional coursework due to other factors,such as self-efficacy or student engagement. Notwithstanding the reason, it is clear that these additional mathematics and science coursesplay an important role in the growth of test
Ph.D. in experimental psychology from the University of North Dakota. Her research focuses on assessment of educational outcomes in higher education as related to STEM learning, with a focus on the effects of various experiences on in- dividuals’ self-efficacy, entrepreneurial intentions, creativity, and other related constructs, as well as the effects of an individual’s values and professional role orientation on STEM learning, retention, persis- tence, and ethics. Page 25.219.1 c American Society for Engineering Education, 2012 Assessing the Impact of Faculty
least to you, and why?”; “Recall Majors EssayAssignments #1 and #2, will the chats that you had with classmates impact your decision foryour major choice? How?”; “Have you made a major choice? Why or why not?”By Week 6 most first-year students have received grades for the first set of calculus, physics, andchemistry exams. For some students, their first exam scores in these basic science and mathcourses are their first taste of the reality of college-level academic expectations, and it is wellknown that this is when many students choose to leave the College, who might otherwise besuccessful given the time to develop strategies for academic success and self-efficacy.5,6Recognizing this critical juncture in the students’ first year, the plenary