,” Journal of Research in Science Teaching, Vol41, No.3, pp. 267-293.[14] Meece, M., What do women want? Just Ask, The New York Times October 29, 2006.[15] Pajares, F.,Hartley, J., and Valiante, G. (2001.) Response Format in Writing Self-Efficacy Assessment: Greater Discrimination Increases Prediction. Measurement and Evaluation in Counseling and Development, 33, 214-221. Page 12.866.15
. Page 12.1262.1© American Society for Engineering Education, 2007 Self Efficacy of Women Engineering Students: Three Years of Data at U.S. InstitutionsAbstract This paper describes the results of three years of engineering self-efficacy datacollected from engineering students at five institutions across the U.S. Results indicate that whilestudents show positive progress on some self–efficacy and related subscales, they show adecrease on isolation subscale from the first to second measurement period. It is also notable thatthere are almost no gender differences and that self efficacy seems to be related to participationin extracurricular activities and student plans to persist in the
. Page 12.1396.1© American Society for Engineering Education, 2007 The Changing Tides: How Engineering Environments Play a Role in Self-Efficacy Belief ModificationAbstractSelf-efficacy beliefs are the beliefs people hold about their abilities to complete the tasks thatthey deem necessary to achieve success. Efficacy beliefs influence the choices people make, theeffort they put forth, and the degree to which they persist in the face of obstacles. Attempts tounderstand how students shape their efficacy for learning are therefore invaluable to educators.Previously, we used qualitative measures to investigate the self-efficacy beliefs of first-yearengineering students. That study revealed that early engineering students
into not only the predictive nature of these characteristics, but the predictivepossibilities of their interaction in attrition within engineering.Data collection and Instrumentation The sample in this study included 1,523 incoming first-year engineering students (292females, 1,231 males) at a large Midwestern university during the 2004-2005 academic year.Ethnicity was as follows: 2.05% African American, 0.51% American Native, 10.18%Asian/Pacific Islander, 2.64% Hispanic, 82.43% Caucasian, 2.20% Other. The students’ non-cognitive measures were collected across eight scales (completed priorto the freshman year): Leadership (20 items), Deep vs. Surface Learning (20 items),Teamwork (10 items), Self-efficacy (10 items), Motivation (25 items
new interest inunderstanding what attracts students to careers in science and engineering and what teachingstrategies can maintain interest in those careers. Validating and testing accurate measures ofstudents’ FTP can ultimately lead to meaningful contributions in this area of study. Futureresearch will reveal how well FTP predicts important outcome variables such as academicpersistence and study strategies among engineering students as well as how other well-established psychological constructs such as self-efficacy and work engagement interact withFTP. In the end, larger and more comprehensive models of motivation can be constructedthat will provide insight not only into the structure of FTP as a motivational construct, butalso into
of future engineers at universities and willhave a significant impact on female engineering students.When developing an instrument to measure self-efficacy, it is also important to understand theperspectives of practitioners. Bandura1 states that the first step in creating items for a self-efficacy instrument is to draw on expert knowledge about what a person must be able to do inorder to be successful in a given pursuit. This can be done through a variety of means such asopen-ended surveys, interviews or questionnaires. The work being presented here utilized anopen-ended survey and discussions with engineers.Tinkering and Technical Self-efficacyTinkering self-efficacy refers to one's experience, competence, and comfort with manualactivities
by stating “self-efficacy is not perceived skill; it is what I believe I can do with my skills under certainconditions…my ability to coordinate and orchestrate skills and abilities in changing andchallenging situations” (p. 278). Bandura and others have written extensively about the differences between self-efficacyand self-esteem. In addition to differentiating the constructs conceptually, there is some debateregarding how self-efficacy and self-esteem are interrelated. Bandura67has argued self-efficacyis independent and unrelated to global measures of self-esteem. This view was captured byBandura in his statement- “the fact that I acknowledge complete inefficacy in ballroom dancingdoes not drive me to recurrent bouts of self
faculty as having better-informed opinions in their areas of expertise and as being Page 12.1020.3 able to teach students techniques for evaluating the quality of evidence underlying conclusions. 4The self-efficacy or Perceived self-efficacy is another framework or operative construct that hasrelevance to Lifelong learning studies. A student’s self efficacy is related to subsequentbehavior and that is ultimately the intent of ABET’s inclusion of Life-long learning as aoutcome6. We should strive to create Engineering graduates who have adequate self-efficacyand therefore the motivation to never stop learning. The construct of
parental education and SATscores, better study skills, and participated in classes specifically designed to reduce or eliminatefactors purported to work against women in the classroom, yet still did not persist at greater ratiosthan men. In fact, men did better, especially at the upper end of the grade spectrum.These and other research studies show that while self-confidence is one of many positiveoutcomes for college students, its relationship to successful outcomes is not a simple positive one.Bandura’s12 concept of self-efficacy may be a better construct when examining students’perceptions of their capabilities and their likelihood to perform well on an engineering task.Self-efficacy is widely used to mean one’s perception of one’s own
chosen in the random lottery (controlgroup). Results indicate that, in comparison to the control group, Camp Reach participants weresignificantly more likely to attend a public high school specializing in mathematics and scienceand also more likely to enroll in elective math and science courses in high school. While a higherfraction of the Camp Reach group chose engineering majors upon college entry, the differencedid not reach statistical significance. Grouping all STEM-related majors together, choices of theCamp Reach and control groups were not significantly different. Furthermore, there were nosignificant differences in the engineering self-efficacy and other measures of efficacy betweenthe Camp Reach and control groups.Introduction and
modulescovering the following topics: § "Why K-12 Engineering Education?" Introduction § Diversity in Learning Styles and Self-Efficacy § Collaborative and Active Learning § Engineering Profession Overview and Academic Pathways Page 12.706.5 TECT: TECT:TEACHING ENGINEERING TEACHINGENGINEERING TO TO COUNSELORS
. Page 12.1080.7Table 1 Factor Questions Asked Dreaming to get Did you think you were going to be admitted in the UPRM? admission to engineering Did people talk about the UPRM when you were in High School? Did you have any doubts about completing the application Self-efficacy beliefs Do you think you were good in math? What came to your mind when you completed your college application? In which IE specialty area you see yourself working? Cultural biases and
to their abilities, while the women were more likely to attribute successto outside help.Consistent with this finding, much of the recent research suggests that women’s persistence inengineering is tied to their self-efficacy in the field. Self-efficacy “refers to beliefs in one’scapabilities to organize and execute the courses of action required to produce givenattainments.”2 This includes dimensions of confidence in one’s abilities, commitment to a chosenpath, and positive feedback with respect to accomplishments. It is based on an individual’sperception, not always in agreement with an objective assessment, of one’s performance. Thewebsite of the Assessing Women in Engineering Project provides a wealth of references in thisarea
theinstructor’s teaching strategies and the student’s approaches to learning. How a student ismotivated when approaching a task is influenced by many factors, such as their unique Page 12.1036.2prior experiences and self efficacy beliefs, and their parents’ beliefs and goals.2 Thispaper investigates how a student’s motivation is impacted by the learning structuresemployed by the instructor. For the sake of clarity, a distinction will be made between a team activity and agroup activity. A team activity is any task given in a classroom which requirescooperation and conceptual understanding by all members in order for the group tosucceed. Consequently, team
, interpretations were made through individual instances as well as throughaggregation of instances until a clearer picture of understanding emerged about the OrangeTeam’s hydraulic bike design process.Instrumentation. Four control-of-self skills were quantitatively measured in this case studythrough motivation scales of the Motivated Strategies for Learning Questionnaire (MSLQ)designed by Pintrich, Smith, Garcia, and McKeachie [12]. The internal reliability coefficients foreach motivational component are high: Intrinsic Goal Orientation (i.e., α = .74), Task Value (i.e.,α = .90), Control of Learning Beliefs (i.e., α = .68), and Self-Efficacy for Learning andPerformance (i.e., α = .93) The scale correlations with the final grade of this test instrument are
, thestudents who participated in these studies arguably experienced different high schoolenvironments and curricula, different ratios of women to men in science and mathematics pre-college courses, and different social norms and expectations than students – both male andfemale – do today. And some more recent research reports different findings: Mau,13 in a six-year study that followed eight graders who professed intent to pursue science and engineeringcareers, found that the only reliable predictors for persistence across race/ethnicity and genderwere academic preparation and math-self efficacy. All point to a continuing need for current datacollection using a reliable and valid predominantly quantitative instrument. The AWE StudentsLeaving
problem, they must be able to reflect about what their reasonings are inorder to monitor and assess what they do or do not understand, what information is missing, andwhether new information is consistent to their current understanding. Metacognition is a type ofinternal dialogue that must be practiced, much like many other skills. Another important theme, though not emphasized in How People Learn is engagement.Student cognitive engagement includes topics concerning their intrinsic and extrinsic motivation,identification with academics, and self-efficacy. Common sense says if students want to learn,feel they can learn, and feel that others believe they can learn, then they will be more successfulthan those who do not. A great article to be
makes re-surveying an option for our assessment in the springsemester of 2007, where we intend to measure change scores on attitude, perceived self-efficacy,and enactment as influenced by intensity/frequency of PRISM usage.Descriptive results for each survey item are included in Addendum A. In general, based on theself-report survey, we found that the study strongly supports two of PRISM’s major claims: (1)that PRISM facilitates standards-based teaching and (2) that PRISM aids in the integration ofdigital technologies into the classroom. However, results for our third theme (promotingprofessional development through virtual “meeting rooms”) did not support the claim. In fact,the responses indicated only very weak PRISM efficacy for promoting
dimensions, different researchers focused on different aspects of online learning.For example, some researchers have studied the effectiveness of online learning byfocusing on its implications on performance in work place. Lima et al. studied thedeterminants of effective online training to reveal how these variables affect learningperformance and transfer performance, two important elements of training effectivenessin the workplace. Their study shows that effective online education (OE) systems needease of interaction, computer self-efficacy, and efficient communication in the virtualperspective as well as institutional factors such as support of seniors and continuouslearning culture1.The question of how to assess the effectiveness of online
-genderprograms like FEMME can be particularly effect in reaching young girls and changing theirattitudes. Initial evaluations of the FEMME program have been positive but they have beenprimarily formative in nature. The Middle School Students’ Attitude to Engineering, Scienceand Mathematics Survey has been developed to measure middle school students’ overallattitudes to engineering, mathematics and science; their knowledge about engineering careers;their self-efficacy in relation to engineering and technology-related skills and who is talking tothem about careers in engineering. All students who attended one of the 2006 summer programsat the Center for Pre-College Programs were asked to complete the survey at the beginning andagain at the end of their
who were shown to have significantly higher perceptions of communicationand computer skills before entering college had a significant decrease in the same perceptionafter the first year of college. This is an indicator that the college experience negatively affectsthe self-efficacy of minority engineering students. It was also shown that the attitudes ofstudents at minority-serving institutions were higher, and these schools appear to retain andgraduate more minority scientists9, 13. Even though students at the HBCUs may not have highergrades, it does not appear to affect their attitudes. Some of the retention and scholarship programs that appear to have a significant impacton retention are Project Preserve and the Meyerhoff Scholars
Educational Research Association, April, Boston, Massachusetts (ERIC Document Reproduction Service No. ED189166.)28. Battista, M. The Interaction between Two Instructional Treatments of Algebraic Structures and Spatial- Visualization Ability. Journal of Educational Research, 74(5), May/June 1981, 337-341.29. Towle, E., et al. Assessing the self efficacy and spatial ability of engineering students from multiple disciplines. 35th ASEE/IEEE Frontiers in Education Conference, October 19-22, 2005, Indianapolis, Indiana.30. Hamlin, A., Boersma, N., & Sorby, S. Do spatial abilities impact the learning of 3-D solid modeling software? Proceedings of the 2006 ASEE Annual Conference & Exposition, June 18-21, Chicago
University describe an introductory course on fundamentals ofelectrical and computer engineering that employs a theme-based curriculum to link theengineering topics to be taught to real-world problems2. The authors emphasize the importanceof real-world related applications. In our cooperative learning exercises, the students have theopportunity to work with the results of an independent group, and their results, in turn, is utilizedby yet another group, giving students the experience of being engaged in real-time exercises.Hutchison et. al. investigate factors influencing the beliefs of self-efficacy of the freshmanengineering students3. The group’s work revealed nine factors that contribute to the studentconfidence. These factors are understanding
of their community and their native culture.The WIT project enlists female scientists of Native Hawaiian ancestry who are involved in mathand science-based careers to participate in the camp and to provide mentoring for the studentparticipants. WIT also employs a team-based, instead of the individual or competition-based,paradigm which has been proven to be more effective for girls’ education. The paper will alsodiscuss methodology for building self-efficacy through highlighting astronomical navigationalscience of ancient Hawaiians juxtaposed with current day science, engineering and astronomycareers atop sacred Mount Haleakala. This paper will present survey results, anecdotal evidence,multi-year tracking and improvements/revisions to the
Page 12.383.5in project activities. The variety of data sources (surveys, open-response questions,interviews, notes, artifacts) permitted the triangulation of data and supported the validityof these findings. Finally, the pre and post profiles were compared to determine thedegree of change that could be attributed to project participation. FindingsTeaching/SchoolingAcross both groups of GK-12 Fellows the consensus was that these experiences leftparticipants better positioned to teach within their respective content areas. Survey datashowed positive pre to post change in teaching self-efficacy across several domains.Areas of change included the ability of GK-12 Fellows to engage students in problemsolving
profession.AcknowledgementsThe work described in this paper has been funded by the Educational Research and MethodsDivision (ERM) of the American Society for Engineering Education through the ERM mini-grant program, by the Kern Family Foundation, and by the Templeton Foundation in conjunctionwith the Center for Academic Integrity. The E3 Team is grateful for the support.Bibliography1. Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the Theory of Planned Behavior. Journal of Applied Social Psychology, 32(4): 665-683.2. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50: 179-211.3. Ajzen, I. (2002). Attitudes, Personality, and Behavior. Buckingham, England: Open
racial understanding), self-efficacy,leadership (leadership activities, self-rated leadership ability, interpersonal skills), choice of aservice career, and plans to participate in service after college. “These findings directly replicatea number of recent studies using different samples and methodologies.”(p.i) 7 They found that S-L to be significantly better in 8 out of 11 measures than just service without the courseintegration and discovered “strong support for the notion that service learning should be includedin the student’s major field.”(p.ii) 8Eyler and Giles9 in a classic study included 1500 students from 20 colleges/universities in astudy of the effect of S-L. Service-learning was found to impact positively: tolerance fordiversity
racial understanding), self-efficacy, leadership (leadershipactivities, self-rated leadership ability, interpersonal skills), choice of a service career,and plans to participate in service after college. “These findings directly replicate anumber of recent studies using different samples and methodologies.”6 They found thatS-L to be significantly better in 8 out of 11 measures than just service without the courseintegration and discovered “strong support for the notion that service learning should beincluded in the student’s major field.” 6 Page 12.1274.4Eyler and Giles7 in a classic study included 1500 students from 20 colleges/universities ina study
that constitute a gap once freshmen –who had high-self efficacy beliefs in highschool-- enter engineering to face a rigorous math and science program and leave engineeringdue to attrition or beliefs of lack of adequacy for the career. Our objective with this research is to search what are the deficiencies in HS preparationto identify improvement opportunities so that to enhance the college experience of our studentsand improve attrition. In the next section we will review the main factors that appear in the literature as criticalfor freshmen success and subsequent retention.II- LITERATURE REVIEWA. Critical and Non-Critical Factors in Freshman Enrollment Heckel1 presented some high school factors that can influence the
Mayaguez and Director of the International Service Systems Engineering Lab. Alexandra holds a Masters and Ph.D. degrees in Industrial and Systems Engineering, both from Virginia Tech, and a BS in Production of Materials Engineering from the Federal University of Sao Carlos, in Sao Paulo, Brazil. Her research interests are systems thinking, systems dynamics, service operations, economic design issues, performance measurement using DEA, evaluating success factors in engineering and the cognitive processes that occur during their acquisition. Page 12.1159.1© American Society for Engineering Education, 2007