these scales had a strong internal consistency (see results below). Finally, t-testswere conducted on each of the subscales, for both surveys, to determine any significantdifferences in experiences or perceptions between international and domestic students.ResultsIn this section, we describe results from the first-year survey and from the second-year survey.First-year surveyOur first-year survey consisted of seven scales: 1) Self-efficacy: This scale consisted of eight items, all related to students’ perceived levels of self-efficacy. It had the goal of revealing students’ levels of confidence in their abilities to succeed in engineering. 2) Knowledge of the engineering profession: The five items in this scale asked students
(pre = 63.33 ± 5.77, post = 83.33 ± 5.77). There areno significant differences between the majors (Mechanical Engineering n = 4, Applied Math n =1, Electrical Engineering n = 2).Lastly, students were asked whether they changed their views of pursuing graduate degrees aftergraduation. There is no significant difference between the pre-self-efficacy measures andchanges in views towards graduate school, F (2,7) = 0.48, p > 0.789. This may indicate that self-directed opportunities during the undergraduate curriculum can be viewed as supplemental, butnot necessarily as a way to introduce graduate research habits. Since the students were notworking with any graduate students. Figure 3 shows students’ self-efficacy scores before andafter
(predictor) variables collected in this study include: 1) eight items fromstudent’s high school performance measures, and 2) eight affective and attitudinal self-beliefconstructs from SASI survey. The high school performance measures include: standardized testresults (verbal and math), average high school grades in mathematics, science, and Englishclasses, and also the number of semesters in mathematics, science, and English in high school.The eight attitudinal and affective self-beliefs applied include Leadership, Deep Learning,Surface Learning, Teamwork, Self-efficacy, Meta-cognition, Expectancy-value, and Majordecision. The construct Motivation from original SASI was not used in this study, due to a veryhigh correlation (0.80) with Self-efficacy
on the unique challenges of underrepresentedstudent populations in rural parts of the U.S. Results from this study will go into furtherinforming the current mentoring model utilized in Botswana. In addition, this study will provideinsight into the best practices for facilitating a virtual-mentoring experience through the use of asoftware application in facilitating long-distance mentoring relationships. Researchers willinvestigate its viability to serve as a mentoring tool in Botswana. Finally, this research study willdevelop formative and summative evaluation tools that will help investigate the impact of theBotswana mentorship program on female students’ self-efficacy, interests, and perceptions ofSTEM careers. NC State is uniquely
a measure of self-efficacy (1 = not at all true, 4 = exactly true). The final sectionasks students about their career plans and uses the same scale as the second section. Theinstrument was developed by the Georgia Tech Office of Assessment and uses an externallyvalidated General Self-Efficacy Scale to assess an individual’s ability to cope with stressful lifeevents.405.0 ResultsMean scores from the GITIIS were computed for both programs, and independent anddependent samples t-tests were conducted in order to assess between and within group meandifferences, respectively. The complete results are reported in the appendix, but this paper willfocus on the student responses to items measuring perceived level of preparation at the end oftheir
while they were in Korea.Specifically, evaluation methods include: 1. Registration form: When the selected five students register, they will complete a form that includes questions (open-ended and Likert scales) about their expectations for the program and research & cultural preparation. 2. Pre-program survey: This survey will include questions about expectations (open-ended and Likert scales) as well as questions that gather baseline data regarding knowledge, perceptions, and self-efficacy. The latter questions will be matched to post-program survey questions. 3. Mid-program survey: This survey will collect formative feedback regarding the program experience and structure. 4. Post-program survey
Citizens Engineering Students preparedness for working globally Evaluation of learning programsIt should be noted that developing assessment and evaluation methods in this area is inherently complex,given the list of areas to be investigated, including ethics, social norms, global difference along withstudents own biases based on culture, racial and ethnic position, socio-economic status etc. [12] Thereare also research philosophy and methodological issues to consider, most qualitative measures of globalpreparedness or awareness are by nature, self-efficacy which may call into question the level of ability ofstudents to self-assess given their respective levels of experience. As an example, a recent study into theEWB-USA chapter at
2015In total, 25 papers were nominated by 21 divisions and four Zones for consideration for BestDiversity Paper, 2015. There were six finalists invited to present; these papers were from the K-12, First Year Programs, Liberal Education/Engineering and Society, Mechanical Engineering,Entrepreneurship and Engineering Innovation, and Multidisciplinary Engineering Divisions. Thetop papers presented at the conference included an exploration of changes in Latinx adolescents’perceptions of engineering self-efficacy and of engineering during a community-basedengineering design experience [3], a baseline study on how engineering students identify asengineers and how they view the importance of diversity in engineering, [4], anautoethnographic study of
asked students about their research self-efficacy and torate themselves on their research ability. Questions included ability to manage a team, identifyresearch problems, and communicate their findings. Qualitative data were collected from theGlobal Engineering Competency Activity (Jesiek, 2011) an open-ended question that askedrespondents to consider themselves as a working engineer in an international location. Therespondent in this imagined role was asked to consider how they needed to be prepared to enterinto this international work situation and list five capabilities and/or things they would need toknow. Given the low number of participants we were not able to run detailed statistical analyses.Descriptive statistics were used to compare
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
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
. Introduction Engineering education has been working for decades on methods to increase students’ motivation andengagement in engineering programs. Engagement is seen as an important part of learning in engineering [1-3]as students need to feel a sense of belonging within their academic program in order to effectively develop theiridentities as engineers. Sense of belonging has been directly linked to successful academic outcomes includingpersistence, self-efficacy, and perceptions of technical competence [4-6]. In order to feel like they belong,engineering students need to have different systems in place to support and complement their formal educationin engineering classrooms. According to Allendoerfer, Wilson [6] those systems come together
for completing the higher education. Since we have been practicing this methodfor the last 4 years, we need to study the long-term impact of grouping on the students fromthe early batches. It would be also beneficial to qualitatively analyse students’ and teachers’perspectives including the impact of the method on self-efficacy and engagement of the “abilitygrouped” students. We don’t deny that the “ability grouping” is a controversial method. Further, we don’thave a strong enough evidence of its success at our college. However, the steady improvementin the academic performance over the last four years prompted us to share our findings andopen a discussion on this atypical practice.Acknowledgments We thank the chair of
their progress, building theirsense of self efficacy, encouraging goal setting behavior and a commitment to remaincompetitive in a global economy.2 The rapid changes in new global economy suggest thenecessity to routinely upgrade existing engineering curricula to reflect these changes, andeven send students abroad to experience different cultures and changes in businessworld.3 All the research firmly believe that there is no doubt that new ever changingglobal economy and multi-culture concepts have become key elements in anyengineering curriculum. In addition to that successful experience of American highereducation could be a great asset to Chinese engineering curriculum developmente.3, 4Based on these literature reviews engineering curricula
we makethe assumptions that all students who studied abroad actually graduated and that the 17,202engineering/CS students who studied abroad in 2013/2014 likely graduated in 2014/2015, thenwe can roughly estimate that 17202 / (96,858 + 59,581) or 11% of U.S. bachelor degreerecipients in engineering/CS studied abroad. Unfortunately, this estimate for engineering/CS istainted by the inclusion of information science students in the denominator.Given that most third-party study abroad providers and host institutions abroad set grade pointminima for study abroad participation in the 2.7 - 3.0 range on a 4.0 scale and that addressing theindividual challenges of studying abroad requires a sufficient amount of self-efficacy, theassumption that
programs and project/problem-basedlearning cases aim to bring real-world challenges into the classroom, an overlapped regionclearly exists between the two research fields [18]-[22]. For example, Kuo et al. [19] proposedthe concept of Interdisciplinary Project-Based Learning (IPBL): Motivated Strategies forLearning Questionnaire which was used to evaluate the participant’s perception of learningmotivation via three subscales: self-efficacy, the joyfulness of learning, and valuing thesignificance of learning on future career development. Within the time frame of 18 weeks,guided by design thinking, the IPBL approach was reported to have significant impacts onstudent's learning motivation. Bischof et al. [22] argued that project-based learning