experience of inventing. What evidence do we have that this assumption is correct? What types of benefits doinvention-focused educational curricula and experiences confer to students? While there is a general sense that students benefit from involvement in these types of experiences, the formalliterature reflects a limited understanding of what specific benefits to students occur throughparticipation in invention education, as well as a lack of reliable and validated measures of theseoutcomes. Limited empirical evidence, gathered through interviews with educators, suggests thatstudents who engage in maker-centered education may experience gains in problem-solving,risk-taking, teamwork skills, self-efficacy, and sense of community; the
the face of challenges. Beliefs about the nature of intelligence havebeen identified as a key lever across these critical behaviors linked to academic success and life-long learning [3].Beliefs are recognized as powerful sources of behavior and various outcomes, and they are awell-established construct of interest in engineering education research. For example, students’beliefs about their own capabilities, or self-efficacy beliefs are important [4-9], and theycorrelate with retention in educational pursuits [10, 11]. Prior work has shown the importance ofbeliefs held by engineering students about the self (i.e. identity) [12-14] and how those beliefsframe their interactions with others [15]. Theory has been generated that connects
Program for Elementary/ Middle School YouthWomen’s historical underrepresentation in Science, Technology, Engineering and Math (STEM)is evident at all junctures of the pipeline from elementary education to industry. Providingstudents with STEM experiences is one method of alleviating this gender imbalance and building21st Century Skills. At Worcester Polytechnic Institute (WPI), outreach programs in roboticstend to be primarily boys. Based on WPI’s success in offering single-gender programming tobuild self-efficacy, the university added a section of robotics for girls only. To measureoutcomes, WPI collaborated with the PEAR Institute: Partnerships in Education and Resilienceat Harvard Medical School and McLean Hospital
groups.Key Program FeaturesThe EE program at Suffolk University has many of the features and support services that researchindicates promote success in engineering students, such as faculty support [1] [2], project-basedlearning that promotes self-efficacy which is a belief in one’s own abilities to succeed [3] [4], asense of community [5] [6], and role models [7] [8].Faculty support Our current students and alumni consistently list faculty support as one of the chiefqualities of the program. For instance, in the last alumni survey, 70% of alumni respondentsgave the EE program a 5 (highest) and 30% gave it a 4 (second highest), in level of academicsupport. In student surveys in response to the question “What are the features of the EE
differences between sites for the second objective of the project.Next StepsBuilding on what we learned during this baseline year, we are developing adjusted plans ofassessment for SEEK students, mentors, and site leaders. In the forthcoming SEEK cycle,student assessments will continue to measure grade-specific conceptual knowledge, motivation,and self- perception. In addition to these constructs, student collaboration and classroom culturehave been added to the assessment plan. Mentor and site leader experiences are to be examinedthrough a series of research methods that both measure mentor and site leader attitudes andcapture different aspects of their experiences (e.g., motivation, self-efficacy, classroompreparation). These adjustments are the
, intrinsic value, and self-efficacy. Motivation is measuredagainst the final grade in the course.The major contribution of this paper is the ability to examine the impact of motivation on gradesin design courses. The motivation and performance is also measured with regard to student gender,residency (domestic or international), family income, and highest degree attained by parents todetermine if a correlation is realized.Additionally, the study focuses on a single cohort of 32 students. This affords the ability for theexamination of the differences in motivation between the students’ freshman and senior year todetermine if this can be correlated to student gender, residency (domestic or international), familyincome, and degree attained by
%), personal impact (91.4%) and overallexperience (92.3%). Quantitative responses from weekly program surveys show increasing levelsof program satisfaction (in seven of eight categories) throughout the duration of the RETprogram. Ongoing work includes evaluation of qualitative survey responses to further measureprogram effectiveness and to assess self-efficacy in teacher participants. Results will helpformulate the remaining summer WE2NG programs as well as future K-12 outreach at theColorado School of Mines.I. IntroductionResearch Experience for Teachers OverviewThe Research Experience for Teachers (RET) program is a National Science Foundation (NSF)funded summer research opportunity that is hosted at various post-secondary researchinstitutions in
analyses provided additional information about the effectiveness of the intervention.A comparison of the pre-intervention responses of male and female participants (Table 2) showedthat there were some differences in attitudes. Of the four dimensions on which the difference wasstatistically significant, males ascribed higher importance to math for getting a good job (D1).However, females exhibited higher self-efficacy in math (D2) and good aptitude for science (D3).Females also indicated that the use of flight simulator in learning math and science can be helpful(D5).A comparison of the post-intervention responses of males and females showed a higher impact ofthe intervention on females (Table 2). Females had a higher recognition of the usefulness
Expectations of Non-Technical Students. Paperpresented at 2004 ASEE Annual Conference & Exposition, Salt Lake City, Utah., https://peer.asee.org/129592. Krupczak, J., & Mina, M., & Disney, K. A. (2017, June), A Framework for an Engineering Reasoning Test andPreliminary Results. Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio.https://peer.asee.org/274633. Krupczak, J., & Mina, M. (2015, June), Work in Progress: An Approach to Engineering Literacy EmphasizingComponents, Functions, and Systems Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle,Washington. https://peer.asee.org/250844. Carberry, A.R, Hee Sun Lee, Matthew W. Ohland, Measuring engineering design self-efficacy, Journal
practice in reflective thinking and judgement.Reflective learning skills are metacognitive, and first year engineering students are alreadyinvolved with metacognition as they consider and evaluate their own place in the engineeringcommunity through engineering identity and self-efficacy. [2] [3] We apply reflection in orderto contribute to our students’ intellectual development for critical thinking skills to whateverextent is possible during the first year. Our research goal is to measure individual progress inreflection over the course of a semester in two ways: By using the same rubric for all assignments, do students’ grades improve over time? How do participants’ responses compare to the intellectual development scales found in
). Assessing college students’ satisfaction with their academic majors. Journal of Career Assessment, 15(4), 446 – 462.[10] Goodwin, A. (2016). The development of a measure of engineering identity. Retrieved from: https://www.asee.org/public/conferences/64/papers/14814/view.[11] Mamaril, N. J. A. (2014). Measuring undergraduate students’ engineering self-efficacy: A scale validation study. Retrieved from: http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1020&context=edp_etds[12] Williams, D. (2006). On and off the ‘net: Scales for social capital in an online era. Journal of Computer-Mediated Communication, 11(2), 593 – 628.
/20281.8. Burwell-Woo, C., Lapuz, R., Huang, T., and Langhoff, N. (2015, June), Enhancing Knowledge, Interest, and Self-Efficacy in STEM Through a Summer STEM Exploration Program Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.23998.9. Enriquez, A., Hum, D., Price, B, Woo, C., Redding-Lapuz, D., and Camacho, A. (2013)., Creating Accelerated Educational Pathways for Underprepared STEM Students through an Intensive Math Placement Test Review Program, Proceedings: 2013 American Society of Engineering Education PSW Conference, Riverside, CA, April 18-20, 2013, pp 314-328.10. Camacho, A. M., & Hum, D. (2016, June), Measuring the Effectiveness of an Intensive Math Preparation Program to
(rather than individuals) and help withan overview of the differences and similarities between groups of individuals.Research is emerging that is examining the potential of quantitative tools for measuring theoutcome of maker activities on youth. In a recent project, Chu et al. developed a series of surveyinstruments to measure youth’s interest, self-efficacy and self-identity with respect to makingand science [2]. The survey tools measured maker identity, self-efficacy and interest, as well as,science self-efficacy and interest. Additionally, the researchers measured the students’ STEM-career possible selves and interest. In a year-long study with 121 middle-school students (ages 8-11) who participated in weekly maker activities, they found that
making. 1 The SCCT model posits thatperson-centered variables of domain-specific self-efficacy coupled with interests and realisticoutcome expectations about the field propel individuals to pursue particular careers. Careerchoice is further influenced by a combination of supportive and inhibiting contextual factors.Supportive factors associated with pursuing computing include: early exposure, access to highquality learning experiences, supportive parents, and peer groups.2, 3 Inhibiting factors includelimited access, subtle and not-so-subtle racism and sexism, geographic location, and lower socio-economic status.3, 4 Importantly, SCCT incorporates gender and race/ethnicity explicitly in its model, whichrenders it appropriate for work with
, social responsibility, ethics, and diversity. c American Society for Engineering Education, 2018 Perceived Importance of Leadership in their Future Careers Relative to Other Foundational, Technical and Professional Skills among Senior Civil Engineering StudentsAbstractMany demands are placed on undergraduate students to possess a broad range of foundational,technical, and professional knowledge and skills when they graduate. Expectancy value theory(EVT) indicates that students will be more motivated to learn topics that they believe will beimportant in their future, due to utility value. Self-efficacy beliefs also contribute to learning.Given this framework, the research
they are capable of achievement in a given learningsituation, as expressed on the MLSQ); and control-of-learning beliefs (a student’s belief that acourse’s content is indeed learnable at all, also expressed on the MLSQ).Our quantitative evidence of the relationship between students’ intrinsic and extrinsicmotivations and the three measures of perception of competence can be seen in Figure 5. Acrossthe 432 survey respondents whose scores were complete enough to characterize, there was astatistically significant relationship between intrinsic goal orientation and writing apprehension,self-efficacy for learning, and control-of-learning beliefs, which can be modeled as a linearcorrelation. There was also a statistically significant linear
motivation to usethe tools they learned, and specific behaviors learners adopted after attending a Carpentriesworkshop.We compiled existing instruments measuring computer self-efficacy [14], Java programmingself-efficacy [15], Python and computational ability [16], self-efficacy towards FLOSS projects[17], and student-instructor relationships [18]. Assessment specialists on staff and from ourinstructor community used a rubric to vote on whether to omit questions, keep them as-is, oradapt them for the purposes of our data collection. Rather than focusing on learners’ skills withrespect to particular tools, we wanted to focus on assessing learner confidence, motivation, andadoption of good research practices [19], as these elements represent the
models and mentors who come from similarethnic backgrounds as the students [26] and who may have the potential to promote a sense ofengineering identity, defined as the interface between academic performance, institutionalconnectedness, gender role and mentors in engineering [27]. Ethnically matched mentors androle models have been promoted in an effort to facilitate students’ ability to envision themselvesoccupying these positions, instill a sense of academic self-efficacy [28] and enhance students’academic self-concept in mathematics and science [29].In recent years, there has been strong interest on the impact of personal improvement onperformance in a variety of domains ranging from growth mindsets to growth goals. Growthmindsets focus on an
opportunities while reducing the need for external employment. • Increase students’ engineering self-efficacy. • Increase recruitment of aerospace and industrial engineering students. • Encourage students to pursue advanced degrees. • Increase student retention in engineering.The ASPIRE program strengthens and supports students through a program of mentoring,networking, and academic design. The primary features of the program include continuousmentoring of all ASPIRE students by peers, faculty, and industry representatives; four face-to-face interactions with all ASPIRE students, mentors, and faculty per semester; and enrollment incommon courses.A total of 36 undergraduate ASPIRE Fellows will have been directly supported
mechanical engineering background Teamwork 2 Tech Oral Presentations, Engineering Build 1 Straw tower assisted the students with creating the mechanical design and Disciplines/Self-Efficacy Survey I, Oral fabrication. presentation activity Students in the Autonomous Robot Vehicle section 3 Tech Writing, Info Literacy/Discussion Build 2 Straw tower assemble a Makeblock Starter Robot kit and then develop board posts on oral, Tech writing assignments Arduino programs that interface the
growth. Therefore, this project aligns well with calls to study the designof STEM learning experiences and whether those experiences improve valued outcomes.References[1] E. Towle, J. Mann, B. Kinsey, E. J. O. Brien, C. F. Bauer, and R. Champoux, "Assessing the self efficacy and spatial ability of engineering students from multiple disciplines," in Proceedings Frontiers in Education 35th Annual Conference, 2005, pp. S2C-15.[2] N. Veurink and A. Hamlin, "Spatial Visualization Skills: Impact on Confidence and Success in an Engineering Curriculum," presented at the 2011 ASEE Annual Conference & Exposition, Vancouver, BC, 2011. Available: https://peer.asee.org/18591[3] M.-T. Wang and J. Degol, "Motivational Pathways to
significant association betweenacademic self-efficacy and first-semester grades. It is not known how many weeks a summer bridge program should be to besuccessful (however success is defined) or how many or how few additional supportcomponents during the academic year are necessary to increase retention andgraduation rates. The 11 published summer bridge studies reviewed by Sablan (2014)were stand-alone interventions and not part of larger comprehensive support programs.A stand-alone bridge program may be adequate if the goal is modest, circumscribed,and measured close in time to the conclusion of the bridge program, such as increasingscores on a math-placement exam. However, more long-term and challenging goalssuch as graduation with a STEM
sections, we discuss each of the quantitative and qualitative research componentsand sub-questions intended to unpack the higher-level research questions. We conclude thissection by identifying strategies for merging the results and describe how these results will leadto research insights, formative modifications to the project intervention, and refinement of theresearch questions.3.3. Quantitative Methodologies To ascertain the effectiveness of the intervention, we will implement and analyze a programof quantitative measures that will inform three separate but inter-related sub-research questions:1. To what extent does participating in the FLC program influence STEM educators’ (i) civic- mindedness, (ii) instructional self-efficacy, and (iii
retention of only women students. The latter tracksindividual students and indicates women retention for freshmen students to be in the range of 80-97%, and for sophomore students to be in the range of 82 to 89%; these retention numbers are onthe higher side as compared to the normally reported numbers. One study22 comments on the intention of retention of students in the first year, whichwas found to be lower in the case of women students. Some researchers have documented 41women underestimating their performance, which may increase their intention to quit. Manyresearchers42,15,43, 44 point out lower self-efficacy of women students and its impact on theretention45,35. Four studies indicate higher retention of men students 16,20,25,35
this case provided by the NASA Space Grant.The student is living minority status in three dimensions (3D) as being a woman, a first-generation college student, and a Native American studying engineering.It is fascinating to analyze how one’s environment and experiences influence their resiliency.Data will be collected on her readiness for an academic career along measures including but notlimited to understanding of the research process, skills in academic writing, self-efficacy, andcompetence in oral presentation. The case study will explore her story. What experiences shapedher determination and brought her to this level, and what benefit did she gain from NASA Spacegrant? The goal is that sharing her story will encourage others to believe
, whichmany students find challenging. Poor performance in the first year could have an effect on theircareer self-efficacy and have an adverse impact on their interest in engineering [9].The rest of this extended abstract summarizes theories and empirical studies relating interest tocareer and college major choice. This will lay a foundation of the importance of interest and willbe a starting point in the FYEE workshop where faculty will share ideas on how they currentlytry to help students maintain interest and brainstorm new ideas to try in the future.Theories for Career and College Major Choice that Include InterestWithin the research disciplines of career choice and college retention, multiple frameworks havebeen used to understand why people
internships’ impact on engineering self-efficacy and commitmentto an engineering career, academic goals and interest in research, career goals, and engagementwith professionals from academia and industry. Best practices and lessons learned are shared,along with recommendations for colleges looking to replicate the program.1. Overview of ASPIRES Program at Cañada CollegeCañada College, located in the San Francisco Bay Area, is a Hispanic-serving communitycollege, and is one of three colleges in the San Mateo Community College District. During the2015-16 academic year, Cañada College enrolled 10,075 unique students. The student body isgenuinely multi-cultural with Hispanic students as the largest single group at 45.2%; whitestudents comprise 26.8
given equalopportunity for immersive BME opportunities.Outside of interest, it has also been shown that in the context of STEM education and career choices,student self-efficacy regarding research skills predicts undergraduate student aspirations for researchcareers [7]. Self-efficacy has also been identified to influence ‘motivation, persistence, anddetermination’ in overcoming challenges in a career pathway [8]. Programs that produced significantdifferences in student self-efficacy tend to be semester-long and academically challenging, as opposed toactivities such as field trips or singular class visits [9]. MEDscience, a medical simulation-based STEMprogram integrated into high school science classes through collaboration between the Harvard
students attending a PWI from those of non-Hispanic white students at that PWI? 3. How do the same measures differ for Hispanic students attending an HSI from those of non-Hispanic white students at that HSI?These particular research questions are of interest as they allow us to distinguish between theimpacts of institutional type (RQ 1) and ethnicity (RQ 2 and 3) on student development. We arealso interested in understanding the differences in extracurricular experiences of Hispanicstudents due to the role that these experiences play in student self-efficacy and academicengagement [27]. Familial influence is also of interest due to prior studies that have linkedfamily support to self-efficacy and persistence [28].Methodology
I belonged more in this whole engineering group:” Achieving individual diversity. Journal of Engineering Education, 2007. 96(2): p. 103-115.28. Johnson, M.J. and S.D. Sheppard, Relationships between engineering student and faculty demographics and stakeholders working to affect change. Journal of Engineering Education, 2004. 93(2): p. 139.29. Raelin, J.A., et al., The gendered effect of cooperative education, contextual support, and self ‐efficacy on undergraduate retention. Journal of Engineering Education, 2014. 103(4): p. 599-624.30. Ro, H.K. and D.B. Knight, Gender Differences in Learning Outcomes from the College Experiences of Engineering Students. Journal of Engineering Education, 2016. 105(3): p. 478-507.31