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
, 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
introduction to hardware applications. Oncethey have gained facility in the programming language, they then apply this knowledge tohardware applications. In an alternative approach being piloted during this study, students areintroduced to programming and algorithmic thinking via the hardware applications; the material isintroduced concurrently instead of sequentially.Findings from pre and post-surveys indicate that students taught using both approaches had similarimprovements in self-efficacy to code and build projects with basic circuitry. In addition, moststudents appreciated the approach used in their class; if taught with a hardware-first approach, theythought a hardware-first approach provides greater learning, and if taught with a software
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
can increase the enrollment of students in Engineering. In addition, women’s self-beliefsplay a significant role in choosing their Engineering career. While compared to their maleengineering students, women’s self-perception of their performance and skills in Engineering arelower which could contribute to decreased desire in choosing and remaining in Engineering.Similarly, themes on the shared experience of Engineering identity (Huff, Smith, Jesiek,Zoltowski, & Oakes, 2019)showcase that stable career patterns are associated with higherdegrees of self-efficacy. According to (Byrnes, 1998) self-efficacy beliefs directly impactdecision-making behaviors in a way that college students with higher self-efficacy abilities aremore prone to
(EL), synchronized to the lab, where students study theacademic background underlying the leadership capabilities prior to the related Leadership Lab anddiscuss and reflect on the lessons learned following a given lab, and 3) one from a number ofelective courses that fulfill a Design and Innovation Leadership Requirement (D&ILR), whichfocuses on the engineering design process and the roles of teamwork and leadership therein.Incorporating alumni outcomes measurement in a longitudinal assessment planEarly in its history, GEL began periodically conducting pre-/post- program assessments rooted inmeasurement of students' self-efficacy beliefs [15] pertinent to learning objectives underlying theCapabilities of Effective Engineering Leaders (see
of EBIPs including both situational and individualinfluences. Situational barriers include lack of pedagogical training, perceived time for effectiveimplementation, and institutional support and incentives [3]. For example, there can besituational barriers like disciplinary differences or institutional influences that promote ordiscourage the use of EBIPs in science, technology, engineering, and mathematics (STEM)courses [1, 4]. Further, engineering faculty have reported concern about the time required forboth preparation and implementing EBIPs in class. In contrast, individual barriers includeinstructional beliefs, values, goals, self-efficacy, motivations, and awareness [4, 5]. For one,many educational theories and research studies can be
framework & the 3C’s Assignments Curiosity quiz, discussion, Weeks 2-3 of AU semester and MS Teams posts + Direct Assessments listed below Self-assessment Survey on self-efficacy on 14 Beginning of AU semester, EM learning objectives end of AU semester, end of SP semester Meetings with teams Framing the discussion in From week 5 of AU semester terms of EM and the 3C’s until the end of SP semester when relevant Direct
study following over 23,000 students from 2009 to 2016.The data were analyzed using multiple regression analyses to correlate high school,demographic, academic achievement factors from the 2009 and 2012 data collection waves to astudent’s likelihood of attending college and majoring in a STEM field. The high school levelfactors that were found to be significant predictors for college STEM major declaration includethe student’s family background, high school STEM GPA, and measures for math/scienceidentity. The findings are mixed and suggest further research is needed, particularly indisaggregating the math/science self-efficacy, identity, and utility measures, as well as ininvestigating potential differences in major choice by field separately
Nvivo: 1000 most frequently used words with minimum length of ten.3.5 Deductive Thematic AnalysisDeductive thematic analysis was conducted by applying the conceptualization of motivation to learnresulting from three factors: self-efficacy, seeing value, and a supportive environment [3, 4]Self-efficacy describes one’s confidence in the ability to complete a performance-based task. Severalparticipants emphasized an increase in self-efficacy by referencing skill development, and by respondingwith a capacity to apply new tools and strategies. Example quotes are provided here: • The PhotoVoice did bring a nice mix of image, essay, and engineering. I will use this in all my research projects.” • “PhotoVoice is a great new assessment
these experiments were visualized in real-time.To measure the key constructs associated with students’ success (motivation, epistemic andperceptual curiosity, and self-efficacy), data collection was done pre-and post-implementation ofthe experiments using the Motivated Strategies for Learning Questionnaire (MSLQ) developed byPintrich, Smith, García, and McKeachie, in 1991. Also, the Classroom Observation Protocol forUndergraduate STEM (COPUS) was employed to characterize the simultaneous activities ofinstructors and learners during class sessions. More so, students’ understanding of the course andthe application of knowledge gained were evaluated using signature assignments.Data analysis was conducted using Statistical Package for Social
. Three research questions are asked:RQ1: How does student STEM SC relate to their design performance in parametricbuilding design? In this study, “design performance” refers to the ability of students to generatesolutions that have good performance in quantitative metrics such as low energy usage. Previousresearch shows that student self-efficacy and performance are positively related both outside ofSTEM [11] and in STEM [12]. However, this study evaluates performance specifically in abuilding design exercise with quantitative goals that are simulated within a parametric designtool. This relationship can reflect potential student effectiveness in technical building design, butit does not fully reflect student behavior. The extent of their
IntroductionThere is substantial evidence that most K-12 science and math teachers who aim to incorporateengineering design processes into their courses acquire these skills through extracurricularprofessional development (PD) programs or self-directed learning [1-4]. Research has shownthat PD programs are valuable in increasing teachers' engineering self-efficacy and thelikelihood of implementing engineering processes in the classroom [5-7]. These programs offerflexibility in introducing engineering design to teachers in diverse formats (e.g., in-person versusvirtual) [8], using various theoretical frameworks [9]. They often provide participation incentivessuch as stipends [9, 10]. However, despite the value of these PD programs, teachers areusually
report using the search term “STEM outreach”[2].Despite efforts to recruit more underrepresented students to engineering, overly difficultengineering tasks and courses can serve as a barrier to recruiting students to the engineeringworkforce. Research shows that negative STEM experiences such as “weed out” courses, orcourses that are purposefully difficult, cause low STEM persistence in first-generation collegestudents [3]. A separate study on outreach events geared towards female elementary schoolstudents stated that decreases in STEM self-efficacy occur around young elementary age [4]. Tomitigate negative experiences, there is a need to focus on creating positive STEM experienceswhich can increase student engagement and increase the likelihood
/978-94-6091-821-6.Magnusson, S., Krajcik, J. & Borko, H. (1999). Nature, sources, and development of pedagogical content knowledge for science teaching: Examing pedagogical content knowledge, Eds.: Gess-Newsome, J., Lederman, N. G., Kluwer Academic Publishers, Doordrecht, Hollanda, 95-132.Maine Department of Education [MDE] (2019). Standards & instruction–science & engineering. https://www.maine.gov/doe/learning/content/scienceandtech.Marquis, S. D. (2015). Investigating the influence of professional development on teacher perceptions of engineering self-efficacy. Ph.D. Thesis, The University of Southern Maine, Portland, USA.Massachusetts Department of Elementary and Secondary Education [MDESE] (2016). 2016
, professionaland honor societies, scientific research [3], or identity-based organizations [8].In engineering education literature, experiential education has also been studied for its potentialto support professional formation via engineering identity development [9]. Engineering identity,a concept that describes how students understand themselves as engineers, has been argued to bea significant indicator of educational and professional persistence [10], [11]. Literature hasconnected a stronger engineering identity with higher retention rates, improved climateperceptions, and better experiences for underrepresented groups in engineering [12]. Scholarshave studied how engineering identity connects with self-efficacy, or individuals’ beliefs abouttheir own
utilization and application of their STEM knowledge. Networking with their peers - bothwithin their program and the national network - amplifies the experience and has the potential tocontribute to future career development. Participants, in the work itself, are given the opportunityto take ownership in the development of curriculum development and classroom management,building potential for self-efficacy development. Finally, the three interconnected strands holdmany connections to the Actua Future Skills Framework; “delivering results” requiresintellectual development, “working with others” draws from networking skills and institutionalknowledge; and future readiness draws from the three strands and makes connections to theparticipant’s future
increases persistence in STEM fields, particularly among URM students[28]–[30], and increases students’ sense of self-efficacy [30]–[33], science identity [34],academic skills [32], and views of the nature of science [33], with distinct benefits forunderrepresented populations [31], [35], [36].These benefits are more substantial for research projects that last multiple years [37], which isfacilitated when students can engage in early research experiences. CUREs are common vehiclesfor introducing early stage students to research [37]. Because they are often highly structured –incorporating journal clubs, lectures, and group work – CUREs provide more support forstudents who have less experience and improved opportunities to develop conceptual skills
scope of aproblem—a skill highly desired for its potential in innovation and entrepreneurship—fills a uniquecurricular gap. The survey of learning experiences showed statistically significant differencesbetween pre- and post-course scores in self-efficacies, which suggests that students sawimprovement in the ratings of their learning in five target areas: (A) background research skills,(B) critical thinking and ideation, (C) project management and teamwork, (D) technicalcommunication skills, and (E) interest in medical engineering.1. Introduction Current engineering education has well-established curricula that covers domain knowledge,mathematic skills, and engineering tools. Although education content and format have evolved,the general
]. Metacognitive and self-regulation strategies can help students be moreeffective learners. The affective element of learning refers to student attitudes and mindsets thatcan influence their thinking and behaviors, ultimately impacting their learning and academicperformance.Learning and persistence in higher education, and engineering education specifically, areinfluenced by many internal and external factors [5], [6], [7]. For example, Geisinger and Raman[7] identify six factors driving students to leave engineering: classroom and academic climate,grades and conceptual understanding, self-efficacy and self-confidence, high school preparation,interest and career goals, and race and gender. The first three items are fundamental to theclassroom experience
comfortable they felt about certain topics or situations on aLikert scale of 1-5. The content domains were then mapped and correlated to the dimensions ofglobal competence from the PISA framework, shown in Table 1.Table 1: Mapping Content Domains to Global Competency Dimensions from the PISA global competencyframework Q# Content Domain Dimension of Global Competence 1 Self-efficacy regarding global issues 1 2 Awareness of global issues 1 3 Perspective-taking 2 4 Respect for people from other
declare their major on the entrance to theirfirst year.I. IntroductionThe experiences accumulated by students during their first year in college have a lastingimpact on the rest of their academic lives [1]. The sense of career and institutional belonging,as well as the self-efficacy beliefs of students, have been identified as crucial factors for theirpersistence and success [2] [3]. We argue that both these factors are affected by the awarenessfirst-year students have about their chosen field of study. This is particularly true forinstitutions admitting students into a specific major since their first college year.An assessment of the reasons reported by first- and second-year students in the host institutionfor choosing an engineering major
-related higher education programs, and STEM-related career pathways.Research to determine the impact of the program on students' interest, understanding, and self-efficacy towards STEM careers, as well as teachers and undergraduate students’ understandingof promoting change, will also be conducted. The Partnerships in Education and Resilience(PEAR) Common Instrument for students and teachers, and interviews with stakeholders arebeing used to support data gathering and program feedback. These data sources will be used forprogram assessment and future research.Introduction An interdisciplinary team of faculty, staff, and students at Illinois State University (ISU)is collaborating with Chicago Public Schools (CPS) and non-profit Community
of the engineering workforce [1], [2]. AcES has endeavored to attract, support andretain through graduation talented, but underprepared (non-calculus-ready) first-time, full-timeengineering and computing undergraduate students from underrepresented populations byimplementing established, research-based student success and retention strategies. During theseven (7) years of NSF funding, this program has served 71 students and supported 28 studentswith renewable S-STEM scholarships.Past research used surveys and individual and focus group interviews to measure AcES scholars’feelings of institutional inclusion, engineering self-efficacy and identity, and assessment of theirown development of academic and professional success skills [1], [2
to interactwith peers and creates a hostile climate for women and other minorities, who are more likely tocommunicate and work collaboratively. Participants of ROLE are not alienated from thesecontexts and the following assertions in Table 1 prove the need to develop self-efficacy to beable to navigate Engineering: Table 1. Participants’ opinions on navigating Engineering Strongly Undecided Disagree/Strongly Assertions Agree/ Agree Disagree I am able to work effectively on my own. 94% - 6% I am able to manage my time effectively. 81% 13% 6% I am
which included experiences with faculty, course learning, andstigma as a transfer student [1]. Some articles simplified these factors describing them asacademic counseling, perceptions of the transfer process, experiences with faculty, andlearning/study skills [25], [27], [28]. Building on Laanan’s research, Moser [29] added severalwidely accepted constructs to the transfer student capital theory: staff validation at communitycollege, faculty validation at community college, faculty mentoring at community college,financial knowledge, active coping style, social coping style, motivation and self-efficacy, socialsupport at the four-year university, and formal collaboration with faculty at the communitycollege.Theoretical Frameworks The
learning goals in a bid to improve their learning [8]. Also, by self-assessingtheir learning, students are brought into the learning process thereby making them active and notpassive contributors to their own learning [6]. On the other hand, instructors also find self-assessments to be valuable as they take advantage of it to improve students' self-efficacy therebymaking the students commit to learning outside of the classroom [6], [7], [10]. It was found in anengineering course that final grades were higher for students who took self-assessmentscompared to those that didn’t [11]. As a result, Baisley [11] argued that self-assessment eitherimproves the performance of students or that high-performing students are more likely to takeself
programs- reporting the efficacyof such courses within the context of such available resources is of broad interest to theengineering community. This study sought to measure the effectiveness of a clinical observationscourse designed for a major land-grant, public university without proximity to a medical school.We compared IP generation and pre- and post-class surveys were used to quantify students’ self-efficacy, motivations, and ability to make connections to real-world problems. The total numberof IP applications increased more than two-fold following the adoption of the course, and surveyresults indicated students’ collective improving understanding of the design process. Ongoingwork will continue to examine the long-term impacts of the
studentsfrom these schools are underrepresented minority students with financial need.The objective of PtoBP: to have Scholars show higher retention/persistence rates. Specifically, to have a90% second-year retention rate, and a 90% five-year graduation rate; and to have at least half of thePtoBP Scholars intern in power engineering and work in power engineering.Key Program FeaturesPtoBP dovetails well with BFCIT’s EE program, that strives to provide support to its students who tendto be low-income students from underrepresented groups. To that end, the EE program incorporatesactivities and infrastructure that promote conditions for student success in STEM fields such as: mathcompetency [1, 2, 3], self-efficacy [2, 4], met financial need [5, 6
study indicate thatentrepreneurship education successfully influences entrepreneurial self-efficacy, entrepreneurialattitude, and the entrepreneurial mindset. On the other hand, entrepreneurial self-efficacypromotes entrepreneurial attitude instead of the entrepreneurial mindset. Furthermore,entrepreneurial attitude plays an essential role in mediating both entrepreneurship education andself-efficacy toward students' entrepreneurial mindset.” (p. 1). They further argue that thecurriculum needs to focus on increasing self-efficacy and positive mindsets by providing those‘mastery experiences’ that allow students to try out entrepreneurship skills in supportedenvironments. In practice, this looks like supporting more internships, providing