Paper ID #18064Innovation Self-Efficacy: A Very Brief Measure for Engineering StudentsDr. Mark Schar, Stanford University The focus of Mark’s research can broadly be described as ”pivot thinking,” the cognitive aptitudes and abilities that encourage innovation, and the tension between design engineering and business management cognitive styles. To encourage these thinking patterns in young engineers, Mark has developed a Scenario Based Learning curriculum that attempts to blend core engineering concepts with selected business ideas. Mark is also researches empathy and mindfulness and its impact on gender participation in
data on the ISE.6measure, as well as statistical outliers in ISE.6, where outliers were extreme cases that werevery different from the other responses. Those cases were identified, i.e., the mean and weredetected using the SPSS boxplot function, and excluded in order to avoid any bias in thestatistical analyses,4.2 Innovation Self-EfficacyThe innovation self-efficacy measure consists of six items that correspond to Dyer’s fivediscovery skills, important for innovative behavior: Associating, Questioning, Observing,Experimenting and Networking (Dyer et al., 2011a). The items are shown in Table 1.Table 1: Mapping of Self-Efficacy Items in the Engineering Majors Survey to Dyer’sDiscovery Skills(A) How confident are you in your B
minority status, and school size. We conducted t-tests to compare the average scoresbetween different groups.To compare respondents with high and low question-asking self-efficacy and outcomeexpectations, we divided the respondents into two groups as described below: students with lowand high QSE, SOE, and COE.For all categories (QSE, SOE, and COE), the “low” group contained those who markedthemselves as 3 or below on a scale from 1-5, and the “high” group included those who marked 5on a scale of 1-5. We chose these markers to try and capture the top and bottom groups (ideallyquartiles) as consistently as possible for each measure. See Table 4 for the number of students ineach category.Table 4: Categorizing students with low and high QSE, SOE, and
gap, we explore a sample of 5,819 undergraduate engineering students froma survey administered in 2015 to a nationally representative set of twenty-seven U.S. engineering schools. Weidentify how individual background measures, occupational learning experiences, and socio-cognitive measuressuch as self-efficacy beliefs, outcome expectations, and interest in innovation and entrepreneurship affect students’entrepreneurial career focus. Based on career focus, the sample is split into “Starters” and “Joiners” where Startersare students who wish to start a new venture and Joiners are those who wish to join an existing venture. Resultsshow the demographic, behavioral, and socio-cognitive characteristics of each group. Findings suggest that
evaluation instruments were built from psychometrically sound instrumentsand scales that include the Career Interest Questionnaire and Modified STEM Semantics Survey(Tyler-Wood et al., 2010), Entrepreneurial Self-Efficacy and Intention (Wilson et al., 2007),Student Attitudes toward STEM Survey (Mahoney, 2010); STEM Semantics Survey (Tyler-Wood et al., 2010), Sources of Self-Efficacy Scale (Britner & Pajares, 2006), and a 21st CenturySkills Assessment/Rubric. Specifically, the process evaluation was designed to measure both quality and intensity ofSTEM-Inc activities in order to monitor the short-term and formative results of activities andservices, validate program components, and determine whether activities were of sufficientquality and
state finals in Spring, 2016. Allteachers were invited to participate. Components of this survey relevant for the current workinclude demographics, information about teachers’ backgrounds, and also several constructs:self-efficacy for teaching engineering, self-efficacy for teaching entrepreneurship, and teacherperceptions of the program’s effects on students. Some of these constructs were assessed throughvalidated instruments, while others were measured with internally developed items. Teaching Engineering Self-Efficacy Scale Self-efficacy for teaching engineering was measured with the Teaching Engineering Self-Efficacy Scale (TESS), which was developed and validated by Yoon Yoon et al., 201411. Theseauthors “define teaching
Control refers to a participant’s perception that they have the ability toparticipate and succeed in entrepreneurship if they so choose, or their self-efficacy with regard toentrepreneurship (Carr & Sequeira, 2007). We measured Perceived Behavioral Control usingthree questions from Ajzen (2002) as cited in Solesvik (2013) (“If I wanted to, I could easilybecome an entrepreneur”, “As an entrepreneur I would have sufficient control over mybusiness”, “It is entirely up to me whether or not I become an entrepreneur”). Question “PBC3”from Solesvik (2013) was left out per Solesvik (2013). We believe that Perceived BehavioralControl is an important topic for research in this field, connected to self-efficacy, but it appearedthat many students
gala after the class whichseems to indicate that the structure is boosting the student’s entrepreneurial skills andaspirations. This is linked with the heightened feeling of both self-efficacy and also reflexiveengineer [20,21]. In this research we take a deeper look into what kind of preferences thestudents have regarding the starting points for innovation to reach an impactful outcome.Innovation for ChangeInnovation for Change (IfC) is a five month long impact innovation program that providesentrepreneurial education for interdisciplinary teams who tackle global challenges that areproposed by big industry/entities and use latest technology from research centres as aninspiration. The program is a collaboration between CERN who provides access
intention is a strong predictor of entrepreneurial behavior [13]. There are threemain factors that affect behavioral intention within Ajzen’s theory of planned behavior:behavioral beliefs, normative beliefs, and control beliefs [14]. Behavioral beliefs are theexpectations an individual has if a certain behavior is performed, normative beliefs are thoseregarding what other people think about something, and control beliefs are those around thedifficulty of the behavior itself [14]. These beliefs can be influenced by aspects of both theindividual, like their traits and previous experiences, and the institution, like resource availabilityand social pressures [15,16].The behavioral beliefs have also been described as self-efficacy, which is “task
. Professor Washington received his BS, MS and PhD degrees from NC State. c American Society for Engineering Education, 2017 Integration of Entrepreneurship in a First-Year Engineering CourseAbstractThis evidence based practice describes the integration of entrepreneurship into a project-basedfirst-year engineering course to encourage student innovation, and to develop student leadershipand self-efficacy. A module featuring a series of lectures on entrepreneurship and business plandevelopment was introduced as part of the curriculum. The module was further enhanced withthe introduction of multiple company founders and industrial leaders who were invited to deliverpresentations and interact with students
Press.2. Pryor, J. H. and Reedy, E. J., 2009, “Trends in Business Interest Among U.S. College Students: An Early Exploration of Data Available from the Cooperative Institutional Research Program,” Ewing Marion Kauffman Foundation.3. Yang, A., 2014, Smart People Should Build Things. New York, NY: HarperCollins Publishers.4. Boyd, N. G. and Vozikis, G. S., 1994, “The Influence of Self-Efficacy on the Development of Entrepreneurial Intentions and Actions,” Entrepreneurship Theory and Practice, pp. 63-77.5. McGrath, R. G., 2000, The Entrepreneurial Mindset: Strategies for Continuously Creating Opportunity in an Age of Uncertainty. Boston, MA: Harvard Business School Press.6. Condoor, S. and McQuilling, M., 2009, “Incorporating an
innovation management as part of aninnovation ecosystem, and all parts of this continuum have been the focus of worthwhileinnovation management internships as considered in our study.Even with this inclusive view of innovation management, however, specific literature oninternships and innovation management education for engineers is limited. Concerning thesignificance of internships on entrepreneurship education, the recent work of Duval-Couetil et albegins by noting that “to date, few researchers have examined to what extent differing programmodels and experiential activities impact students’ perceptions of their entrepreneurialknowledge, skills, and self-efficacy.” (Duval-Couetil, Shartrand and Reed, 2016.) Althoughinternships are not discussed in