technical contributors [2, 7-10]. Connections to mentors andexperience with real-world problems that connect the dots between STEM academic content andthe industry practice can also enhance students’ competencies and preparation for future careers[11]. These are all critical components in the development of a STEM identity. Engineering self-efficacy and engineering/STEM identity are both characteristics predictive of success inengineering majors and careers [8]. As alluded to above, this is especially important for studentstraditionally underrepresented in STEM fields and is therefore key to addressing diversity issuesessential for organizational innovation [12].Finally, the benefits of apprenticeships and the application of relevant research
theory. In K. R. Wenzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 35–53). Routledge/Taylor & Francis Group.[31] Carberry, A. R., Gerber, E. M., & Martin, C. K. (2018). Measuring the innovation self-efficacy of engineers. International Journal of Engineering Education, 34(2), 590-598.[32] Garrison, D. R. (1992). Critical thinking and self-directed learning in adult education: An analysis of responsibility and control issues. Adult education quarterly, 42(3), 136-148.[33] Chakrabarti R. (2021). The Art Of Lifelong Learning: A Practitioner’s View. Forbes. https://www.forbes.com/sites/sap/2021/02/17/the-art-of-lifelong-learning-a-practitioners- view/?sh=be4796f6d060[34
. Thisstudy fills these gaps with case study research on technology internships at two Floridacommunity colleges. In this research we explore, engineering and information technologyinternship structure; participation; and outcomes on program persistence, program completion,and self-efficacy in future technology and career engagement. Our case study research drawsfrom both qualitative and quantitative data from a range of perspectives including students,faculty/administrators and employers who provided the internships. Findings show that credit-bearing technology internships prepared students to be successful in technology careers,strengthened student self-efficacy and confidence towards their technology education and careergoals, and provided a
knowledge by means of systematic review," British journal ofmanagement, vol. 14, no. 3, pp. 207-222, 2003.[8] J. R. Morelock, "A systematic literature review of engineering identity: definitions, factors,and interventions affecting development, and means of measurement," European journal ofengineering education, vol. 42, no. 6, pp. 1240-1262, 2017[9] A. Bandura, Self-efficacy: the exercise of control. New York: W. H. Freeman, 1997.[10] D. Oyserman and M. Destin, "Identity-Based Motivation: Implications forIntervention," The Counseling Psychologist, vol. 38, no. 7, pp. 1001-1043, 2010/10/01 2010, doi:10.1177/0011000010374775.[11] N. A. Engineering and C. U. E. E. W. Continuum, Understanding the Educational andCareer Pathways of Engineers. National
ofstudents to develop the necessary identities needed to be successful and persevere in STEM [1],[24]. Generally, schools lack sufficient programming which includes qualified teachers andfunding for potential STEM candidates to develop STEM identities [23]. Middle school teacherstend to be insufficiently qualified and found to lack confidence in their abilities to teach STEMsubjects [27]–[30]. In addition, schools lack the necessary resources for teachers to improve theirown self efficacy. In an online survey conducted by Hammack and Ivey, elementary teacherswere asked about their own perceptions of incorporating STEM into their classroom curriculum,to which many responded positively to the idea but felt they were unable to due to the lack
/ perseverancethrough andlearn from Resiliencefailure Value creation with new Solution Seeking products, services, etc. Self-efficacy Leadership Displayed sharedand leadership/cooperatipresentation onskills Displays succinct presentation skillsIn the above examples of “The” Entrepreneurial Mindset, multiple approaches andconceptualizations are revealed
describes the targeted infusionof “making” into undergraduate STEM education as an approach to encourage innovation whilebuilding capacity in the 21st-century technical STEM skills of engineering and design.“Making’ has the potential to impact self-efficacy and building capacity in technical STEMskills among underrepresented and underserved science majors. To investigate how “making”experiences are received by Underrepresented Minority (URM) students at an HistoricallyBlack College or University (HBCU), we applied and received funding through the NationalScience Foundation HBCU-UP Targeted Infusion Project (TIP) mechanism. The infusionincluded “making” instructional practices and Course-based Undergraduate ResearchExperiences (CUREs) into two
-aggressionsthat impact their health, sense of belonging, self-efficacy, and persistence. Some types of harmsare not explicitly obvious to outside observers, such as alienation, stereotyping, thinly veiledsexist and/or racist comments, and being passed up for opportunities because of their race orgender [20], [24], [26]–[28]. Even worse are instances of harassment and assault and theimproper ways that higher education institutions commonly handle such cases [29], [30]. Simplyput, the diversity problem in engineering higher education is self-perpetuating: the climate isinhospitable for marginalized students, so many of them do not persist in engineering.The absence of people of color as faculty is also a problem deeply rooted in a history of racismand
knowledge, monitoring, and control and discovered that students whoidentify successful learning strategies are more likely to meet their learning goals. In fact,Bandura [16] suggests there is a relationship between self-efficacy and performance and de laFuente et al. [17] found evidence that, by providing mastery experiences, students gained anincrease in self-efficacy which, in turn, resulted in better academic performance.Moneva and Tribunalo [18] observed a direct correlation between students’ self-confidence andtheir ability to perform tasks such that the more self-confidence a student possessed, the lessanxiety they had towards doing assigned tasks and the more likely they were to succeed at thetasks at hand. The current study focused on self
retention in engineering in their review: classroom and academicclimate, grades and conceptual understanding, self-efficacy and self-confidence, interest andcareer goals, and race and gender. The first discusses the “chilly climate hypothesis” ofengineering and STEM programs in general, citing that engineering students have often reportedleaving STEM and engineering due to the competitive environment and individualistic nature ofthe programs [1], [3]. In fact, both students who left and students who persisted described theculture as “hostile” [1], [13]. This individualistic culture of many engineering programs tends tobe more harmful to students of color, who often feel greater obligations to help others and servetheir communities [1], [8
in Fall 2021 could have had an effect on the DFW rate. The proctoring method is animportant factor which could not be done as successfully as in-person mode during the onlineinstruction. Moreover, during the pandemic, it was observed that in addition to the mode ofinstruction, the personality factors that have been proven to significantly contribute to theretention in engineering programs, were even more bold in the student success. These factors areaptitude factors, conscientiousness, openness, attitudes, self-esteem, and self-efficacy [8].Teaching in online mode encouraged the faculty to use the available technology which would notbe used in in-person classes otherwise, such as using iPads and tablets for writing lecturesinstead of writing
that this technique is likely to bevaluable to qualitative researchers in a variety of disciplines who find themselves not matched byrace, ethnicity, gender, and other characteristics to the study participants. This technique enabledus to shift the focus away from the interviewer asking questions toward the students describingtheir own major choice process.We used Social Cognitive Career Theory (SCCT) to better understand students’ reasons fordeciding to major in engineering [2, 3]. Lent and colleagues [4] utilized Bandura’s [5] socialcognitive theory to validate choices of Black students in engineering. SCCT’s main componentsthat shaped our analysis include (a) self-efficacy beliefs (beliefs about one’s capacity to performa task or take a
ninth grade through rising twelfth-grade girls. miniGEMS after-school clubs meet weekly to learn block coding using EV3 LEGO Mindstorm robots to competein FIRST LEGO competitions each spring.The mission statement of GEMS is to inspire and empower young girls to be innovative withtheir future in the fields of STEAM. GEMS covers diverse topics of education that the studentswould not normally be exposed to, supporting each other, developing teamwork skills, learninghow to better the community with their knowledge, being creative, and developing self-efficacy[1]. GEMS is unique because it targets girls from under-resourced, underserved,underrepresented communities giving low-income areas of San Antonio, Texas an opportunityto gain experience and
)studied the desire of the U.S.-based college-level world language educators to teach online, faceto face, or hybrid of both. The results indicated that the educators were positive to adopt onlinelanguage teaching after the pandemic ends even though many preferred hybrid teaching if theywere given the option. Hong et al. (2021) predicted the students’ practical performance anxietyusing Neuroticism and Extraversion through Internet and academic self-efficacy. Wang et al.(2020) used “computer foundation” course to explain the process of shifting to online teaching.They used the concept of enhanced design of interaction, learning theories, and problem-basedlearning (PBL) in this study. They used the learning management system (LMS) to collectstudents
MPA are no longer eligible for the scholarship and aredropped from the program. Prior to the start of the fall quarter, all scholars are enrolled in a mathfocused bridge program designed to prepare students for their first calculus course and begin tocultivate a sense of community. The scholars then enroll in the same section of calculus andreceive continued support from the instructor, department faculty (mentoring), and their peers(study groups).Data AnalysisThe data analyzed as part of this study consist of surveys and focus groups. The survey wasadministered in fall quarter of each academic year. Survey questions assess sense of belonging,identity, and self-efficacy. For this study, focus was placed on student responses to the
needed new ways to measure impact onstudents. First, we knew we knew we wanted to identify the strengths and assets salient forengineering that our diverse students develop from their everyday and cultural experiences. Weconjectured that because many of them had to “make it work” and “make do” that they haddeveloped everyday ingenuity that could serve as a strong foundation as engineers. For instance,when asked, “How have you used a table knife?” our students respond: • a screwdriver • a putty knife • changing the volume on my stereo after the knob broke off • getting into my car after the handle brokeWe developed a survey using published questions about knowledge of design problem framing,engineering self-efficacy, their
obtained, allincluded commercialization metrics such as founding a company, number of employees,and revenue.Education and learning metrics: Out of the four post-course surveys obtained, allincluded questions about participants’ satisfaction with the course, as well as their intentto become an entrepreneur. Three included measures of self-rated improvement inknowledge or learning, and three included measures of confidence or self-efficacy. Ofthe seven Nodes that used post-course surveys, five also collected pre-course data. Outof the three programs for which both pre- and post- surveys were obtained, all includeda subset of questions that were consistent on the pre- and post-surveys to allow for theassessment of change over time. Out of the 3
experientiallearning classrooms resulted in higher student retention of important course concepts than traditionalclassrooms. Another study by Cajiao and Burke12 stated that the activities resulted in bettercommunication between students, better communication between the student and the instructor, andan improvement in student self-efficacy in terms of class performance and skills. Figure 6. Word Cloud for “What I like most about this course” Figure 7. Word Cloud for “What I dislike most about the course” Proceedings of the 2022 ASEE Gulf-Southwest Annual Conference Prairie View A&M University, Prairie View, TX Copyright 2022, American Society for
Ability StatusBrawner et Qualitative Status negotiation and Majority male Veteransal. (2016) enactment (Identity) Majority White[12] Able-bodiedCooper et al. Quantitative Self-efficacy Majority male Veterans,(2016) [13] Engagement Majority White some Disability having a disabilityLim et al. Qualitative Identity Formation All male Veterans(2016
betterprepared for the challenges and obstacles a senior design capstone entails [2]. This idea is supported byTsenn et al., who explored how self-efficacy relies on motivation and outcome expectation and correlatedmotivation to the number of times students spent on the project [8]. Bracken et al. looked at the perceivedvalue of the project, relevance to engineering discipline and tasks, and the use of "cool" technologies asfactors that students considered in the project selection process. This point again touches on the idea thatby bringing together motivation and interest in the project, the learning experience, responsiveness tochallenges, and overcoming obstacles will improve throughout the project. Therefore, through these twomechanisms of interest
. Theauthor differentiated between the self-efficacy and outcome expectancy scale, the latter of whichis used for this study, by explaining that outcome expectations “are individual judgments aboutthe potential outcomes of their behaviors” [7, pp. 1088]. Siwatu [7] asserted that thecompetencies selected for the instruments are rooted in literature that reflects the voices ofpractitioners and pioneers in research who have advocated for the culturally sensitive andrelevant teaching practices that associated closely with a culturally responsive pedagogicalapproach. The author noted that these instruments were developed due to shortage of scales thatmeasure preservice or practicing teacher beliefs regarding CRP. Despite the changing demographics of
group and others canceling team timealtogether. The second salient challenge was the occasional miscommunications between thefull-time staff coordinator and the graduate co-coordinator or between the graduateco-coordinator and program assistants. This manifested itself mainly through the formalevaluation of the camp, and the distribution of the post-camp survey to the participants. While allcamps were motivated by the same frameworks, only the in-person camp resulted in a complete(pre and post) set of survey results. Surveys were a compilation of the Engineering PersonalInterests Survey adapted from O*NET Mini Interests Profiler [8] to measure engineering interest,the Perceptions of Engineering Survey [7], and the Engineering Self-Efficacy
online engineering course. It is recommended that the flipped formatbe retained in future online classes while possibly changing what is done during the onlinesynchronous class meetings. Instead of focusing on conceptual issues and student questions, thetime can be devoted to solving additional problems selected after review of student muddy pointfeedback.References[1] A. Karimi, R.D. Manteufel, and J.F. Herbert, “Challenges in Virtual Instruction and StudentAssessment during the COVID-19 Pandemic”, in Proceedings of 2021 ASEE Annual Conference, 2021.[2] K. Altaii, C.J. Reagle, and M.K. Handley. “Flipping an Engineering Thermodynamics Course toImprove Student Self-Efficacy,” in Proceedings of 2017 ASEE Annual Conference, 2017.[3] D. Yang, and K
environment through anintegrated approach to first year engineering [14]. Rebranding the integrated first year as Cornerstone,results show that the Cornerstone approach is successful, and students see a positive improvement intheir perspectives on engineering and self-efficacy in their abilities to become an engineer [15]. Even atan international school not participating in ABET, one study showed that switching to a Cornerstoneapproach helped students overcome difficulties, gain a better understanding of their Cornerstoneprojects, and their future professional roles as an engineer [16].With a greater understanding now that more design exposure is better, the Cornerstone to Capstonerelationship has been examined to determine what differences in
of the techniques used toproduce them.To assess student self-efficacy in identifying dilemma and technical knowledge applied to risksand harms, I modified proposals to include written sections on stakeholder analysis and theirrelative influence, and ethical considerations in their proposals. This also provided multiplepoints of reinforcement for ethics in the engineering design cycle as iterative discourse andlearning versus as a one-off exercise. An example statement from student design proposals on anovel diagnostic device asked teams to “state relevant stakeholders (at least 5) and theirinfluence/power in the proposed design. State any ethical dilemma and concerns one may havewith the project, especially with regards to the risks and
emergence of the Covid-19 pandemic.This NSF Grantees Poster outlines the results of the implementation of this program over threeyears, with respect to the impact of the program on students’ retention in STEM, as well assatisfaction with participating in the program.MethodsThis research project investigated the impact of the job shadowing program on first-yearstudents’ retention in STEM, using a quasi-experimental design. The theoretical framework thatguided this study is Social Cognitive Career Theory [4], which articulates a relationship betweenstudents’ self-efficacy and interest in STEM and outcomes such as retention in STEM.Student SelectionThree cohorts of students were recruited by email that was sent to first year students entering aSTEM
Conference & Exposition, Virtual.[10] MCQueen, A and Klein, W.M.P. (2006) Experimental manipulations of self-affirmation: A systematic review, Self and Identity, 5:4, 289-354, DOI: 10.1080/15298860600805325[11] Ponton, M.K., Edmister, J.H., Ukeiley, L.S. and Seiner, J.M. (2001), Understanding the Role of Self-Efficacy in Engineering Education, Journal of Engineering Education, 90: 247-251. https://doi.org/10.1002/j.2168-9830.2001.tb00599.x[12] Widmann, J., Self, B., Chen, J., Gee, J., and Kerfs, M., (2021), Changes in Non-Cognitive and Affective (NCA) Factors in Engineering and Computing Students: A Longitudinal Study of Mechanical Engineering Students, Research in Engineering Education Symposium, Perth, Australia
students’learning outcomes. This practical research provided a variety of successful teaching andcurriculum design cases for STEM teacher education. Table 4 Summary of the co-words (count > 5) Keywords Year Count Keywords Year Count 1 Education 2012 41 17 Pedagogical content knowledge 2018 10 2 STEM education 2015 29 18 Impact 2012 10 3 Science 2015 28 19 Self-efficacy 2017 10 4 Preservice teacher 2012 24 20 Science education 2017 8 5 Knowledge 2012 20 21
Instruction (SI). This peer support is a non-remedial way to usenear-peers to increase success in traditionally difficult academic, gate-keeper, courses. Typically,these courses are chosen because about 30% of students earn a D, F, or W. In this study thesupport is Technology Assisted Supplemental Instruction (TASI) in Statics courses and itsimpact on Latinx students. Students’ sense of belonging and self-efficacy indicators weregathered and paired with final course grade as an academic marker of effectiveness of theintervention. This study is also notable, as it uses anti-deficit lens to understand not only theliterature but the effectiveness of the intervention.LITERATUREDespite being equally likely to pursue careers in STEM [1] and narrowing rates
taking oral assessments made them more comfortable (or more likely)to reach out to the instructional team for help through office hours, email, or other methods. It isimportant to note, however, that the instructional team found a flaw in the survey in that there isno baseline to compare students’ comfort level reaching out since we don’t have pre-oral examdata on this measure. It is possible that some students who did not claim they were morecomfortable could have done so because they were comfortable in the first place. In the next datacollection phase, a new question will be added to the pre-survey to ask students their level ofcomfort as a baseline.Confidence and Self-Efficacy Figure 5. End of Quarter Survey: Impact on Confidence in