”, Self-efficacy beliefs of adolescents 5, 307–337.http://web.stanford.edu/dept/psychology/bandura/pajares/014-BanduraGuide2006.pdf[11] Barr, D. A.; & Burke, J. R. (2013). “Using confidence-based marking in a laboratory setting: A tool for student self-assessment and learning.”The Journal of chiropractic education, 27(1), 21. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3604960/[12] Carberry, A.; Lee, H. & Ohland, M. (2010), “Measuring engineering design self-efficacy”, Journal of Engineering Education 99 (1), 71–79.http://www.ceeo.tufts.edu/documents/journal/carberry_lee_ohland.pdf[13] Fantz, T.; Siller, T. & Demiranda, M. (2011), “Pre-Collegiate Factors Influencing the Self-Efficacy of Engineering Students”, Journal ofEngineering
] illustrates the concept of engagement as a complex interplay between social contextsand individual experiences. Engagement is portrayed as a consequence and a predictor ofsignificant academic, social, and emotional outcomes. In this conceptualization, engagementbecomes a crucial factor influencing the causal relationships between students’ individualexperiences and their behaviors in school and beyond [17].Figure 1: The Various Aspects of Student Engagement [16]As opined by Bandura [18], one activity cannot fully address the complex chain of the cognitiveprocesses that make up motivation. Self-efficacy, or the conviction that one can bring aboutpositive results through one’s own decision-making is a key motivator [19]. Self-efficacy affectspeople’s
,manufacturing, construction technology, aviation technology, and automotive technology [5].Moreover, Latinos, as the largest ethnic or racial minority group in the United States, suffer froma greater gender gap in STEM careers (more men than women) compared with Asians andAfrican Americans [6], [7]. These gender gaps in STEM interest and STEM-related careerssignal the need for broadening the participation of women and students of color in STEM fields[8]. There is mounting evidence of the impact of STEM enrichment programs on changingstudents’ attitudes toward STEM subjects, stimulating the interests of K-12 students, influencingstudents’ self-efficacy, improving retention for STEM in schools, and expanding students’ senseof STEM career options
literature has identified a wide range of factors that determine whether a community will be resilient. These include (with examples relative to this work), infrastructure (computing and internet), financial (wealth and employment), human and cultural (academic family expectation, food security), social (support networks), political (college governance), and the mental outlook of individuals (Patel, et al, 2017, NASEM, 2019). Resilience has been studied at scales ranging from individuals to broader communities, which highlights both internal and external supporting factors. Internal factors reside inside an individual agent and may be characterized by such psychological traits and skills as optimism, creativity, spirituality, humor, self-efficacy
(enjoyment) (Matusovich,Streveler, & Miller, 2010). More work on this construct in engineering education canhelp us better understand interest and its relationship to identity and persistence.Engineering performance/competence is also important to measuring engineeringidentity. For instance, Jones, Osborne, Paretti, and Matusovich (2014) found a positiverelationship between perceived ability and identity. As this area of research progresses,clear distinctions should be made between performance/competence and other similarconstructs in the literature such as self-efficacy. The significance of recognition in themodels of engineering identity points to a type of support that may be critical toengineering identity development. For example, role
course offered in Fall 2014 collaborating on designing, building, andtesting autonomous waste sorters. Teams from one section of 38 mechanical, aerospace, electrical,and chemical engineering students are paired with those of the other section with 43 computerscience, informatics, software engineering, computer systems engineering, industrial engineering,and engineering management students. While the teams from each section focus on differentaspects of the design, inter-disciplinary collaboration and system integration is required for asuccessful final product.The impact of this experience on students’ knowledge and self-efficacy of the engineering designprocess, their technical communication skills, and teamwork has been measured. A
financial difficulty. Prior research has acknowledged that HC socializes students to conform to thestatus quo [21]. Within this largely middle-class, straight, White, able-bodied, and malediscipline, the status quo perpetuates gendered values (HC), such as masculinity,objectivity, and autonomy through messages embedded in institutional and instructionalways [32].HC in engineering Individuals process and respond to HC by recognizing it (awareness), processingit (emotions), deciding what they can do about it (self-efficacy), and acting (self-advocacy) [2], [4]–[7], [9], [11], [12]. Previous research characterized individuals’responses to HC into three categories: 1) minimal/no action, 2) negotiating self, and 3)changing the environment
Arbor. Her dissertation studied the effects of instruction in engineering classrooms on women’s socioemotional outcomes including sense of belonging, engineering self-efficacy, and desire to remain in engineering.Donald L. Gillian-Daniel Don Gillian-Daniel (he/him) engages higher education and disciplinary and professional society audi- ences in learning how to use more equitable and inclusive professional practices (e.g., teaching, advising, research mentoring, colleagueship, and leadership). He has worked locally, nationally, and internation- ally, and consulted with universities, National Science Foundation-funded initiatives, as well as national non-profits. Don is the inaugural director of Professional
interactive relationship withindividual characteristics and situational conditions [20]. The individual characteristics of careermotivation theory are identified as (1) career identity, which is the relationship between one’scareer and identity, including the desire for upward mobility; (2) career insight, which is theperceptions of oneself and the organization, and how these perceptions are related to careergoals; and (3) career resilience, which is the resistance to career disruptions in less than optimalwork environment conditions, including self-efficacy, risk taking, and dependency [20]. Thesituational conditions include support for career development, opportunities and rewards,structure for goal setting, organizational flexibility, competitive
engineering technology fields, with Latine faculty representing only 4% of theoverall faculty [33].Although studies show that having faculty mentors from similar backgrounds enhances theoutcomes for doctoral students, low faculty representation inevitably sets the stage for cross-cultural mentoring in the STEM doctoral context [4], [6], [19], [23], [24]. Cross-culturalmentoring occurs when mentees and mentors come from different cultural or racial backgrounds,in which cases racially and ethnically minoritized doctoral students are more likely to benefitfrom individualized support and guidance academically and emotionally for completion of thedoctoral program and develop self-efficacy as a scholar [4], [6], [19], [23], [24]. In a case studyby Sangiago
, respectively). Strong effect sizes of .86 and .64were seen for lower- and upper-division students, respectively. Participants also indicatedsignificantly higher leadership interest (p < 0.001) and self-efficacy (p = 0.001), per Table 3.Moreover, effect sizes were high, ranging from .63 to .95. Further exploration of the resultsidentified how increases in identity varied by participant characteristics. Correlation analysiscompared change in leader identity with absolute measures in other outcomes (i.e., interest andself-efficacy). This analysis found two significant relationships for upper-division students;leadership interest (r (50) = -.454, p = 0.001) and self-efficacy (r (50) = -.535, p < 0.001) wereboth negatively correlated with identity
to take ‘gatekeeper’ courses such as Pre-Calculus and Calculus (NCES, 2016).Purpose StatementAlthough, only in the preliminary stages of data collection, the primary goal of this work is toaddress the challenge of broadening participation in STEM, particularly among UR boys bybuilding on a pilot afterschool STEM program for UR boys. Specifically, this project proposesthe STEM Engagement through Mentoring (SEM) model as a way to address the followingquestions:1) In what ways do fathers/mentors motivate students to become aware of, interested in, and prepared for STEM careers?2) To what extent does involvement in SEM shape the students’ STEM identity?3) What impact does working with the SEM program have on the self-efficacy of pre-service
choice, but that there can be barriers that confound decision making. For example anindividual’s prior experiences and background (culture, gender, genetic endowment, sociostructuralconsiderations, and disability or health status) impact the nature and range of their career possibilitiesconsidered. In theory, SCCT aims to describe the intersection of self-efficacy beliefs, outcomeexpectations, and goals11. Self-efficacy, defined by Bandura, is one’s own belief about one’s ability toachieve a task12. This derives from four primary sources: performance outcomes, vicarious experiences,verbal persuasion, and physiological experiences. Self-efficacy is a task level theory; it is useful in classsettings where students can perceive separate domains
research projects, mentoring, boot camp, professionaldevelopment, and community building events. Analysis of quantitative evaluation datademonstrates that, despite the remote format, interns had a very positive internship experienceand highly satisfying mentoring relationships with graduate students. Most notably, theinternship significantly enhanced students’ confidence to succeed as a student in science andengineering, and self-efficacy in their research skills. This paper and poster presentation willprovide a model for similar NSF funded programs pursuing an online format. The administrativeteam expects such transitions to become increasingly common for various reasons, including theneed to adapt to unexpected health and environmental barriers
(1994) usability inspection methods, usability testing will be done throughfocus groups to explore participants’ perceptions of the user interface design, identify designproblems, and uncover areas to improve the user interface and user experience in Ecampus andhybrid courses (RQ1). A heuristics evaluation [16, 17] of the user interface will be conducted toensure that usability principles are followed to provide a user interface with inclusivity andaccessibility (RQ2). A Likert scale will be adapted from Bandura’s (1989) MultidimensionalScales of Perceived Self-Efficacy [18] to explore participants' self-regulatory efficacy (RQ3).Planned InterventionThe proposed study will combine elements of both exploratory and quasi-experimental
further internships, transfer preparedness, teamwork ability, and senseof self-efficacy.1. IntroductionDespite years of investments and resources devoted by the federal government and institutions ofhigher education towards broadening participation of underrepresented minorities (URMs) inscience, technology, engineering, and mathematics careers, significant progress has not beenachieved. For instance, since 2000, underrepresented minorities’ shares in engineering andphysical science degrees have been flat despite a rapid increase in their representation of theoverall US population. In fact, even though URMs currently constitute 30 percent of the USpopulation, they account for only about 12.5 percent of baccalaureate degrees awarded inengineering1
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
; Clauss, 2010). Some correlation would seem to be prerequisitefor application of the survey response data to other teaching goals such as formative assessment,learner self-efficacy development, and course design evaluation. Another potentially interestingapproach would be to compare survey response data to an alternative assessment measure suchas the Statics Concept Inventory (Steif, 2005). This potential correlation could be interesting toexplore in the future.It is important to note that in this study, students were encouraged to use the survey as a tool toidentify focus areas for their exam preparation efforts. If students successfully followed thisadvice, then their exam scores should be generally higher than their survey scores
factors by Heilbronner [3]:ability, self-efficacy, educational experiences and interest. Engineering majors are more likely tograduate when they have good math preparation [4]. Less than optimal high school preparationhas contributed to early switching out of STEM majors, and this phenomenon is experienced at ahigher rate by students of color. These students have reported that they were underprepared andoverconfident in their college STEM courses. The disconnect was described by these students asbeing top of their class in high school to being the bottom of their college physics or math classes[5]. Self-efficacy [6] is the belief by an individual that they have the ability to produce theoutcome expectancy. This can be described as an individual’s
his bachelor’s and master’s degrees from the University of Texas R´ıo Grande Valley, formerly University of Texas Rio Grande Valley. He also holds a doctorate degree in School Improvement from Texas State University. ©American Society for Engineering Education, 2023 Keeping Calm and Staying Balanced: Exploring the Academic Pressures Faced by Engineering Students to Attain High Grades and their Impact on Mental HealthStudies reveal that grades have a short-term impact on students’ self-efficacy, motivation, anddecision making. Earning high grades has become a focal point for engineering students to securethree types of opportunities: internships, post-graduation employment
between students who intent to major in STEM fields and their peers whoplan a major outside of STEM. A survey that intends to measure student interest in engineeringas a trait, should be able to distinguish students indicating future interest in STEM from thosewho do not. This finding indicates that a need to refine the FIDES 1.0 in order to measureinterest in engineering as a psychological construct in a way that more accurately reflects ourunderstanding of the intended population.FIDES 2.0: Revised Instrument DevelopmentRevised Item Construction Revisions were made to the FIDES instrument on the basis of results from the pilot study.First, two additional indicators were added (content knowledge and self-efficacy). Second, toaddress
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
and whether or not the individual is a first-generation college student.Model 2 adds the measure of commitment to an engineering career, career commitment, to thecontrol variables and finally, Model 3 adds the three social psychological measure belonging,scientific self-efficacy and engineering identity.We compare the statistical results of similar models before (Model 2) and after (Model 3) theinclusion of the career commitment variable in order to examine the possibility that careercommitment may mediate the relationship between engineering identity and sense of belongingand our academic outcomes. A variable is mediating a relationship when a prior effect between apredictor and outcome variable is significantly reduced when the third
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
-Year, Multi-Institution Study of Women Engineering Student Self-Efficacy.” Journal ofEngineering Education 98(1): 27-38.Stewart-Gambino, H. and J. S. Rossmann. 2015. “Often Asserted, Rarely Measured: The Valueof Integrating Humanities, STEM, and Arts in Undergraduate Learning.” National Academies ofSciences, Engineering and Medicine.Michelfelder, D. and S. A. Jones. “From Caring About Sustainability to Developing Care-FulEngineers.” 2016. In New Developments in Engineering Education for Sustainable Development.Eds. Walter Leal Filho and Susan Nesbit. Switzerland: Springer International Publishing, pp.173-184.
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
Possible Solution(s) Solution(s) Construct PrototypeFigure 2: Design Process Model Utilized with Participating TeachersData CollectionWe focus this evaluation on analysis of surveys (T-STEM), content knowledge tests (DTAMS),and focus groups each completed both before and after professional development, as well asteacher-generated engineering design lesson plans and observations as teachers implementedlessons in their classrooms.The Teacher Efficacy and Attitudes Toward STEM (T-STEM) 15 Survey is intended to measurechanges in teachers’ confidence and self-efficacy in STEM subject content and teaching, use oftechnology in the classroom, 21st century learning
, 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
of teachers identified asfacilitating implementation included pedagogical content knowledge, self-efficacy,resourcefulness, and organizational and time management skills. Teachers reported that studentinterest in the STEM-ID challenges and STEM, more generally, was another facilitating factorwhereas, to varying degrees, disruptive student behavior and students’ lack of foundationalmathematics skills were reported as limiting factors. Teachers also highlighted specifictechnological challenges, such as software licensing issues, as limiting factors. Otherwise, wefound that teachers generally had sufficient resources to implement the curricula includingadequate physical space, technological tools, and supplies. Across teachers and schools