). 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
, 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
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
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
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
. Assignments Design 10 % This grade is determined based on your design performance Performance relative to design specifications at the end of the design process. Final 15 % Oral presentation on design project. Presentation Self-Efficacy 5% Online surveys which will compare knowledge and abilities before Surveys and after the course. Students receive emails prompting to complete these surveys on the designated weeks. Teamwork 10 % These will be two teamwork survey assignments throughout the Assessment quarter, each is available on Blackboard Learn
STEM activities,interest in STEM careers, a sense of STEM identity (“I am a science person”), and anunderstanding of the role of science and technology in everyday life. As shown in Exhibit 4,FIRST participants score significantly higher than comparison students on all five STEM-relatedmeasures after controlling for baseline scores and participant characteristics.There were no significant differences, however, between FIRST participants and comparisonstudents for non-STEM measures used in the study, including academic self-concept, collegesupport, self-efficacy and prosocial behavior, 21st century skills, and the 21st century skillsubscales for teamwork, problem solving and communication. These results are consistent withthose found in earlier
Motivation, Self-Efficacy, Self-Determination, Grade Motivation, and CareerMotivation. Glynn and his associates define student motivation to learn science as the “internalstate that arouses, directs, and sustains student behaviors associated with the learning of science[8].Table 1. Student Scores on the SMQ II-Pre & Post TestsTest Students/Scores Intrinsic Self- Self- Grade Career Overall/Raw Motivation Efficacy Determination Motivation Motivation AggregatePre Total # 114 114 114 114 114 Average Score 14.25 14.23 13.64 16.92 15.35 74.39 (n=114) STEMGrow(n=86) 14.63
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
learning experiences [1 - 4], positive self-reflections are important parts of the theoryof motivation and self-efficacy [35]. When answering Question 5, the students liked “the processof seeing and creating parts from scratch,” “how much detail the MoonRay can print,” “objectsrising like Phoenix,” “upside down grown parts,” and “the quality and accuracy of the process.” 14 12 10 8 6 4 2 0 1 2 3 4 5 Q1 Q2 Q3 Q4Figure 8. Students’ 3D Printing Attitudes and Perception Survey Results: Questions 1 – 4
learnabout heat and temperature, students outperformed those doing just a physical lab [34]. Other factors may influence the effectiveness of instructional methods, including labgroup composition and gender. Even with effective implementation methods, there can also bedifferences in learning based on the composition of lab groups. For example, Ding, Bosker, andHarskamp [5] found that females in single-gender dyads significantly outperformed females inmixed-gender dyads. For males, this pattern was not evident. One factor that could impactfemales’ performances in lab groups is self-efficacy. MacPhee, Farro, and Canetto [13]discovered that when starting college, females tended to regard themselves as academicallyweaker than males. However, by
not to teach the topic, or teach the subject in asuperficial manner [17]. Since the teachers have a paramount impact on students’ futurecareer choices, the first step to enhance students’ interest in STEM fields is to improveteachers’ confidence and self-efficacy with engineering and STEM concepts. Onceteachers have a chance to learn and implement engineering principles, they arecomfortable sharing this knowledge with their students and can present the connectionsbetween math, science, and engineering and the real world [18]. In light of these issues,it’s critical to develop professional development activities to expose teachers to authenticexperiential learning activities and help teachers to improve their abilities and knowledgein these
training for teachers. Project Lead the Way, for example, allows schools to offer engineeringexperiences through design courses in a variety of disciplines [26]. University-based K-12outreach programs have also shown promise in promoting engineering knowledge, self-efficacy,and interest [27]-[30]. It must be understood that, by necessity, knowledge of these standards andprograms must be communicated to school counselors to increase student awareness andaccessibility. Schools advocating for these programs have indicated their commitment to studentpreparation for STEM careers and school personnel should understand the mechanisms by whichthese programs do so.Research questions. This pilot, ongoing research explores the following overarching
in a manufacturing environment. To do this, the department’s machining,fabrication, and plastics labs may be utilized in future studies using techniques such as gagesrepeatability and reproducibility (GR&R) studies and design of experiments.References[1] Johnson, M & Kuennen, E., “Basic Math Skills and Performance in an Introductory StatisticsCourse,” Journal of Statistics Education Vol. 14, Iss. 2, 2006[2] McLeod, D. B., "Research on Affect in Mathematics Education: A Reconceptualization," inHandbook of Research on Mathematics Teaching and Learning, ed. D. A. Grouws, NY:Macmillan, pp. 575-596, 1992.[3] Finney, S. and Schraw, G., “Self-efficacy beliefs in college statistics courses,” ContemporaryEducational Psychology, Volume: 28
networks to use the new IT system [17]. Informationalinfluence also draws from the theory of social learning in that the individual learns how to usenew systems from the experience of others, thus avoiding the opportunity costs of trying to learnon his or her own [9].Lewis et al. [18] identify three factors of individual beliefs for using a new IT system: 1)individual, 2) institutional, and 3) social norm, which, in turn, are related to either informationalor normative social influence. The individual factor includes computer self-efficacy that drawsfrom social cognitive theory in that the informational influence from watching others perform abehavior, impacts the individual into thinking that he or she can also successfully perform thatbehavior
face of adversity and significantstress [8]. It is often described in terms of “bouncing back” from difficult experiences [e.g., 9,10, 11]. Resilience is a multidimensional construct [12] that is defined differently depending onthe context in which it is investigated. For example, in a study of how children developresilience, Maclean [13] discussed a wide range of factors including self-esteem, self-efficacy,locus of control, initiative, faith and morality, trust, affection, safe environment, autonomy,identity, and more. In an educational context, resilience has been defined as the “the heightenedlikelihood of success in school and in other life accomplishments, despite environmentaladversities” [14]. Similarly, Novotný and Kreménková [12
will be used for participant selection in futurechapters.MethodsMotivation and Attitudes in Engineering SurveyThe MAE survey [7], [8] consists of 5 sections with 86 items related to goal orientation [34],FTP and Expectancy (E), task specific metacognition, problem-solving self-efficacy [35], anddemographic information. This paper presents a CA of the domain- and context-specific FutureTime Perspective (FTP) items utilizing the FTP and Expectancy section. The FTP items containfive theoretical factors: Perceived Instrumentality (PI), Perceptions of the Future (F), Future onPresent (FoP), Value (V), and Connectedness (C). The Value and Connectedness items, adaptedfrom Husman and Shell [1], [12], were added based on previous qualitative FTP work
StudyLooking at the leaky pipe has not made significant progress towards understanding all thedimensions of the problem. Women are not and have not entered or persisted in engineering.There is not one single factor that can be pointed to in order to explain why women are notreceiving undergraduate engineering degrees. Previous explanations offered by the field havefocused on student characteristics or looked at a single dimension. The interaction of curriculum,the field, subjective grading scales, unrealistic demands, and declining self-efficacy cannot beseparated from each other. A more complete picture needs to be formulated. The purpose of thisstudy is to understand the social, structural and curricular constraints on the field of engineeringand
techniques and assessment tools will be utilized toassess and improve engineering education at both the undergraduate and K-12 levels throughvaried techniques: i) undergraduate module lesson plans that are scalable to K-12 levels, ii) shortinformational video lessons created by undergraduates for K-12 students with accompanying in-person mentorship activities at local high schools and MakerSpaces, iii) pre- and post-testassessments of undergraduates’ and K-12 participating students’ AM knowledge, skills, andperceptions of self-efficacy, and iv) focus groups to learn about student concerns/learningchallenges. We will also track students institutionally and into their early careers to learn abouttheir use of AM technology