multidimensional theory that considered both a person’s beliefs abouttheir success and potential value of the outcome could be created [14]. At a high-level, EVTposits that a person’s motivation is a combination of two primary factors: their expectations ofsuccess (the expectancy) as well as the worth or importance attached to the outcome (the value)[15]. The expectancy half of a person’s motivation is a combination of a person’s self-efficacy,expectancies, self-concept, perceived control over a situation, and the attributions associated withan outcome, whereas the value portion considers their psychological needs, the intrinsic vs.extrinsic value of the outcome, the utility of the outcome, as well as its cost [14]. JacquelineEccles-Parsons (and
other arenas. Multiple studies documentincreased motivation and self-efficacy in sports training through the use of videos, for instance[15]. Motivation and self-efficacy are foundational concepts of Self Determination Theory [16][17][18], and video’s potential to enhance them in sports may be transferrable to other types ofself-development and growth. In higher education, role-model videos have been suggested tohave a positive effect on the retention of students historically under-represented in STEM,particularly when the role models discuss their personal transitions to college or the work force[19] or navigating STEM education as an historically under-represented minority [20]. Emerginguses of video technology to help the viewer visualize a
workforce is at stake, it is criticallyimportant to comprehensively assess undergraduate engineering student experiences to betterunderstand what is happening on engineering campuses [5] for maintaining a sustainableengagement continuum [6].Over that past several decades, there have been numerous studies on persistence in engineeringattempting to better understand why students leave [7-10]. Usually, the factors that influencestudent persistence in engineering fall into several categories: race and gender, unwelcomingacademic climate, conceptual understanding in core courses, self-efficacy, interest and careergoals, and access to social capital. While the impact of both academic and non-academic factorshas been known to contribute to students
Motivation and Learning, K. A. Renninger and S. E. Hidi, Eds. Cambridge: Cambridge University Press, 2019, pp. 617–644.[10] L. T. Hu, and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives,” Structural Equation Modeling: A Multidisciplinary Journal, vol. 6, no. 1, pp. 1-55, 1999.[11] M. Guan, and J. So, “Influence of social identity on self-efficacy beliefs through perceived social support: A social identity theory perspective,” Comm. Studies, vol. 67, no. 5, pp. 588–604, Oct. 2016.[12] C. S. Hulleman et al., “Making connections: Replicating and extending the utility value intervention in the classroom,” J. of Ed. Psych., vol
sense of belongingwith their selected major and college (Good, Rattan, & Dweck, 2012). Indeed, feelings ofbelonging are related to overall well-being (Ryan & Deci, 2000) as well as higher levels ofacademic self-efficacy and motivation (Freeman, Anderman, & Jensen, 2007). It is particularlyconcerning that students who belong to groups that are underrepresented in engineering feel lessconnected with their major, which is also generally related to problems with adjustment to thecollege environment (Dennis, Phinney, & Chuateco, 2005). To address the issues of retention inengineering majors, many colleges and universities have implemented programs to supportstudents in their first year (Purdie & Rosser, 2011). This paper will
smallerteams ensure that each student will have more experience using each piece of hardware andhopefully promote self-efficacy and self-directed learning for high school students.The software involved in the course was revised to use open-source programs. Students will beusing the Arduino programming environment to interface with the SparkFun products. Thissoftware package has been, and will always be, an open source format with extensive librariesand example code provided. The computer aided design software used in the existing collegiatecourse was a proprietary software package called Solidworks (Dassault Systems, Inc.) but wasrevised for the new curricular implementations to an open source CAD software package calledSketchUp (Trimble Navigation
Paper ID #13709Sometimes, Faculty Matter: The Contribution of Faculty Support to FutureEngagementDr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on engagement, success, and persistence.Prof. Diane Carlson Jones Ph.D, University of WashingtonProf. Rebecca A Bates, Minnesota State University, Mankato Rebecca A. Bates received the Ph.D. degree in electrical engineering from the
challenging for teachers to implement will inform the project’scontinued. refinement of STEM-ID materials and its professional development model. Thesedata will also inform future research, including the investigation of connections between teacheroutcomes, such as increased self-efficacy and the development of PCK, and successfulimplementation of STEM-ID. As the scope of the project expands in Year 3 to include newteachers and schools, we will continue to collect data exploring how STEM-ID unfolds indiverse classrooms and the array of factors that may account for variations in implementationpatterns across teachers and school settings. References[1] J. Century and A. Cassata, A. “Implementation research
(S-STEM) grant to increase engineering degree completion of low-income, high achievingundergraduate students. The project aims to increase engineering degree completion byimproving student engagement, boosting retention and academic performance, and enhancingstudent self-efficacy by providing useful programming, resources, and financial support (i.e.,scholarships). This work is part of a larger grant aimed at uncovering effective strategies tosupport low-income STEM students’ success at HBCUs. The next section will discuss thebackground of this work.Keywords: Historically black colleges/universities (HBCUs), learning environment,undergraduate, underrepresentationBackgroundA public historically black land-grant university in the southeastern
certificate and degree programs, four-year engineering transfer programs, workforce development programs, and industry.2.2 Theoretical FrameworksTo better understand the career orientations of ET students, two leading career developmenttheories have been used to guide this study, Social Cognitive Career Theory (SCCT) andSchein’s Career Anchors Theory.2.2.2 Social Cognitive Career Theory (SCCT)Social Cognitive Career Theory (SCCT) is a theory which links students’ attitudes, interests,experiences, self-efficacy beliefs, outcome expectations, and personal goals to educational andcareer decisions and outcomes [9]. SCCT aims to “understand the processes through whichpeople form interests, make choices, and achieve varying levels of success in educational
aspects involving both student outcomes and teacher outcomes.For students, we assessed student growth, such as interest, self-efficacy and confidence incomputing. For teachers, we assessed teachers’ learning and adoption of inquiry-based practices,basic App Inventor computing skills, and observed how and to what extent they incorporatedApp Inventor programming and project app development into their courses. We also assessed theoverall impact of their project participation.MethodsThe project underwent both formative and summative evaluation throughout, all conducted by anexternal evaluation team (second and third authors) and reported regularly to the project leads(first and fourth author). Data collection included several components: • Annual
, studies of students’ self-efficacy in engineering contexts providevaluable insights into how students’ perceived abilities to accomplish particular tasks mayinfluence important student outcomes; however, these studies do not fully account for other aspectsof students experiences and identities including attitudes toward subject material, motivation,background experiences, social identities like race and gender, and other salient and interwovenstudent attitudes, beliefs, and mindsets. Accounting for multiple and overlapping measures canprovide additional explanatory power to understand student outcomes, but this approach alsobrings methodological challenges in analyzing complex data with multiple correlated dimensions.One newer statistical
• Agreeableness • NeuroticismOpenness refers to introspection, intellectual curiosity, willingness to entertain novel ideas, andimagination. Conscientiousness refers to being purposeful, being strong-willed, determination,accomplishment, self-efficacy, and reliability. Extraversion refers to being social, a preferencefor large groups, being talkative, being active, and assertion. Agreeableness refers to beingaltruistic, being empathetic towards others, a willingness to assist others, and an assumption thatothers will be helpful in turn. Neuroticism refers to a tendency to experience negative affectssuch as embarrassment, guilt, and anxiety. Each of the five traits in the FFM is represented as ascaled dimension such that a person could have any level
existence and influence of motivation have been studied in numerousenvironments including, notably, academic settings. Strong correlations have been foundbetween a person’s motivational state and short, medium, and long-term outcomes suchas performance, satisfaction, and persistence - three goals central to pedagogicalrefinement and revision. Specifically, research conducted over the past three decadesstrongly suggests that motivations are tightly linked to outcomes such as self-efficacy,critical thinking, creativity, self-regulation, and pro-social behavior2-8 - goals that areidentified as critical to the professional success, and in particular, to the success of STEMgraduates.9-13One useful framework for characterizing the dynamics of motivation
understanding of the DSP topics covered in lectures, which might not be a good direct measure of student’s understanding of topics. However, it shows a relatively high level of students’ self-efficacy which can improve learning performance9, 10. Students also supported the use of this platform for future DSP offerings except for one student who pointed out that the selected K65 board might be too powerful for most senior design projects. As noted in Section III, we are currently investigating a similar but smaller size MCU board (i.e., the FRDM-K66F development board) as the alternative platform for the DSP laboratory coursework. This board could be a better option for some senior design projects compared
program trained participants togain technical skills to design and conduct experiments, simulate, and analyze the results as well as softskills to work in teams and communicate technical statements. Acquiring such skills has been proven todevelop confidence, self-efficacy and a sense of proficiency and mastery in disciplinary research in STEM[24-26]. The SPW activities were meant to equip/expose participants with/to hard and soft skills andproficiencies. They ranged from writing technical statements and interaction with recruiters to anintroduction to carrying out experiments in a research laboratory under the mentorship of a faculty member,analyzing data, simulation, coding, and writing final research reports.Industry Partnership and
• I am confident with Precalculus • I am confident with Calculus • I enjoy math • I can apply my math skills to computing and engineering projectsThe post-bootcamp survey included these same ratings so we could investigate potential changesin their attitudes. Fourteen (n=14) of the seventeen bootcamp participants (82%) completed bothsurveys and consented to include their data in our formative assessment. We performed aWilcoxon-Mann-Whitney test to compare pre- and post-bootcamp ratings to test the hypothesisthat the bootcamp would improve students’ self-efficacy. Table 1 shows the mean (M) andstandard deviation (sd) for each item’s rating, as well as the p-value of the hypothesis test.Overall, the average
Teaching, vol. 38, no. 10, pp. 1065–1088, Nov. 2001. doi:10.1002/tea.10001[9] K. Moser, Redefining transfer student success: Transfer capital and the Laanan-Transfer Students’ questionnaire (L-TSQ) revisited, 2012. doi:10.31274/etd-180810-498[10] Sachitra, V., & Bandara, U. (2017). Measuring the academic self-efficacy of undergraduates: The role of gender and academic year experience. International Journal of Educational and Pedagogical Sciences, 11(11), 2608-2613.[11] McNally, Sandra (2020): Gender differences in tertiary education: What explains STEM participation?, IZA Policy Paper, No. 165, Institute of Labor Economics (IZA), Bonn. Retrieved from: https://www.econstor.eu/bitstream/10419/243451/1/pp165.pdfTable 1
,understanding engineering, self-efficacy, and hands-on activities/structure and virtual format. Toincrease validity in the coding, multiple researcher triangulation was conducted. The statementsset forth in Table 1 below are representative responses of students to each of the emergingthemes. Representation "I enjoyed hearing about different engineers and black and women excellence.” “It was an amazing experience to meet so many women from all different backgrounds who are so successful.” “I really liked when the women from [manufacturing company] came and spoke to us about what they did. And, when the women came and spoke her computer science journey.” “My favorite part was hearing from the speakers and their wisdom. It opened job opportunities that I
how they impact their career development.Cadenas, Cantú, Poder Evaluate program Underrepresented Social Cognitive Quantitative A program designed with aLynn, Spence & effectiveness in community college Career Theory*, curriculum that is culturallyRuth (2020) entrepreneurial students Critical responsive does promote career self- efficacy Consciousness*, development and entrepreneurial
presence of the words, rather than the same % as the standarddictionary. This still gives a measure of relative usage when comparing across papers.Refer to Table 8 for our custom dimension findings related to the following discussion. Allpapers used generic study jargon (e.g., data, research, etc.). While all papers used somedemographic jargon, they primarily communicated age, race, and sex dimensions ofdemographics rather than meaningfully discussing location or socioeconomic status. EnEdJargon was unsurprisingly the highest category for most papers [17]–[19], [22]. Besides thegeneric eID Jargon, these papers tended to focus on the identity dimensions of attitude,intersectionality, and mentors rather than self-efficacy or competence. Besides the
them, expectancy, self-concordance, and commitment canbe adopted since WOC faculty in engineering with sustained motivation may be predicted toshow greater goal persistence and attainment .10,11 Buse and Billimoria12 use a mixed methodsapproach in studying the factors related to the retention of women in the engineering profession.They first used a qualitative method to collect narratives of women through interviews. From thenarratives, they argue that one’s personal vision was a contributing factor to persistence. Basedupon this finding, they developed a scale to measure one’s personal vision conceptualized as the“ideal self,” which is comprised of self-efficacy, hope, optimism, and core-identity. They arguethat this ideal self directly
. Facilitated by a diverse team of 12 multinational lecturers from5 countries (Indonesia, Japan, Malaysia, Thailand, and the Philippines), these programs offer aninterdisciplinary educational experience consisting of technology, history, and cultures of Asiancountries to enhance participants' self-efficacy [1]. VAx was initiated as a response to satisfy thedesperate demand for mobility programs hampered by the COVID-19 pandemic, providing aDigital Transformation solution that offers borderless mobility programs regardless of locationand budget limitations. After three batches in 2021 and 2022 with a total of 239 certificateawardees, the program transitioned to a hybrid model in 2023. Of the 88 registered participantsfrom 10 different nationalities, 44
STEM fields and enhancing retention by reducing dropout rates, particularly inmale-dominated environments through supportive and collaborative settings 6 . Creating gender-aware courses that promote participation across technical and managerial roles and introducingrole models can build STEM self-efficacy, encouraging young women to pursue and remain inengineering careers 7,8 . Addressing unconscious bias and providing fair role assignments furtherenable female students to confidently take on technical responsibilities while fostering a strongsense of community and professional commitment 9,10 .Ultimately, this project highlights how practical, student-led initiatives in engineering educationdrive real-world skill development and meaningful
with students one-on-one to help them navigate challengesthey may face. The SEED program seeks to achieve these same goals in a more cost-effectivemanner through the counseling facilitators, the part-time administrator, the industry mentors, andfaculty mentors who are assigned to each of the students.Program evaluation and outcomesThe external evaluator for the project administers a survey upon the students’ entry to the SEEDprogram with follow-up surveys and focus groups conducted annually thereafter. These methodsseek feedback from the scholars about program activities, while also tracking the evolution of thestudents’ STEM identity and self-efficacy. Here we report on student opinions on the impact ofthe different core elements of the SEED
Sense of Belonging Task Oriented Self-Efficacy Figure 1: MMM Program Theory of ActionTable 1: Standards and Practices aligned with MMM Program Theoretical Underpinnings Common Core NGSS Science & Mathematical Standards for K-12 Engineering Education Engineering Practices Practices Make sense of MS-ETS1-1. Define the criteria and constraints of a Asking questions and problems and persevere design
(n = 22). As described above, academic goals usually focus on math skills. Affective goalsoften focus on confidence, social integration, motivation, and similar constructs. Figure 7: Summer bridge program goals. Study ResultsThe most commonly reported result was an improvement in student retention. Studies also foundpositive effective results, including high levels of satisfaction with the program, intent to persist inSTEM studies, improved self-efficacy, sense of belonging, confidence, motivation, sense ofpreparedness for future studies, and understanding of the engineering profession. There were alsoreports of improved academic skills, including spatial reasoning, metacognition, and math. Nullor negative
, June 18-21, 2006, ASEE Conferences, 2006. pp. 11.1451.1 - 11.1451.7.[2] P. M. Leggett-Robinson, N. Davis, and B. Villa, "Cultivating STEM Identity and Belongingthrough Civic Engagement: Increasing Student Success (Self-efficacy and Persistence) for theTwo-Year College STEM Student," Science Education and Civic Engagement, vol. 10, no. 1,Winter 2018. [Online]. Available:https://new.seceij.net/articletype/projectreport/cultivatingstemidentityandbelonging/. [AccessedFeb. 28, 2021].[3] Chen, X., and M. Soldner (2013). STEM Attrition: College Students’ Paths Into and Out of STEMFields. National Center for Education Statistics, U.S. Department of Education[4] LaForce, Melanie; Noble, Elizabeth; Blackwell, Courtney. 2017. "Problem-Based Learning (PBL
. Levesque-Bristol, “Service-Learning’s Impact on College Students’ Commitment to Future Civic Engagement, Self-Efficacy, and Social Empowerment,” J. Community Pract., vol. 18, no. 2–3, pp. 233–251, Aug. 2010.[6] C. Levesque-Bristol, T. D. Knapp, and B. J. Fisher, “The Effectiveness of Service- Learning: It’s Not Always what you Think,” J. Exp. Educ., vol. 33, no. 3, pp. 208–224, Mar. 2011.[7] O. S. Hoilett, A. F. Aboelzahab, E. A. Layow, J. C. Linnes, and C. H. Lee, “Board # 8 :#FunTimesWithTheTA—A Series of Fun Supplementary Lessons for Introductory Level Biomedical Instrumentation Students (Work in Progress),” presented at the 2017 ASEE Annual Conference & Exposition, 2017.[8] J. Sibthorp, K. Paisley, J. Gookin
of the dynamics of undergraduate engineering students’ researcher identity and epistemic thinking,” J Res Sci Teach, vol. 59, no. 4, pp. 529–560, Apr. 2022, doi: 10.1002/tea.21736.[14] H. C. Contreras Aguirre, E. Gonzalez, and R. M. Banda, “Latina college students’ experiences in STEM at Hispanic-Serving Institutions: framed within Latino critical race theory,” International Journal of Qualitative Studies in Education, vol. 33, no. 8, pp. 810– 823, Sep. 2020, doi: 10.1080/09518398.2020.1751894.[15] Dina Verdín and Allison Godwin, “Exploring latina first-generation college students’ multiple identities, self-efficacy, and institutional integration to inform achievement in engineering,” Journal of Women and