aspirations. Many of these factors can betraced to family origin and early childhood, not just to experiences in school. To this end, theliterature review in this paper explores gender-related factors relevant to females’ college majorchoices, including family influences, self-image and self-efficacy, perception of gender roles,students’ value systems, and outcome expectancies for attaining a college degree. Although several of these factors have been widely studied, and family of originconfiguration in relationship to college major has been studied in other countries (specificallyItaly), there is a gap in the literature for this relationship as concerns US students
pathway metaphor into an ecosystem. The ecosystemapproach suggests more complex aspects of a system be recognized by offering a holisticunderstanding of educational experiences [22]. Lord et al. argue that the ecosystem approachoffers insights into contextual factors such as multiple influential actors, gatekeepers, powerrelations, tacit knowledge, knowledge transmission, and disciplinary cultures. Much like thispaper, we plan to apply network analysis techniques to makerspaces to provide richer insights.A survey measuring student participation in makerspaces and students’ self-efficacy for designrelated tasks [23] was deployed at Georgia Tech. The results of the study showed that studentswho are voluntary involved (not class-related) in the
selection of initial experiments toadapt, the modifications made, and resulting changes in the course delivery. Preliminary resultsusing measures of key constructs associated with student success, such as motivation,engineering identity, and self-efficacy are provided. This project is conducted at a historicallyblack college/university and most participants are from groups historically underrepresented inSTEM.IntroductionAccording to National Science Foundation data, African American students comprise 2% of theB.S. degree recipients in the geosciences, 2.6% in physics and 3.9% in engineering, while Blackscomprise 14.9% of the college-aged population [1]. Thus, there are opportunities to increase therepresentation of African American students in
-efficacy was analyzed regarding URM and FGC status [7]. Self-efficacy refers to anindividual’s belief and confidence about his or her ability “to organize and execute courses ofaction required to attain designated types of performances” [44]. Consequently, innovationself-efficacy does not measure realized behaviors but only one’s belief in the ability toperform these. Since EMS 1.0 was exclusively distributed to undergraduate engineeringstudents, actual behaviors as employees could not be determined. This earlier study does notfind any significant differences in innovation self-efficacy between people of URM or FGCstatus and the ones who are not part of these groups.Beyond these personal factors, this paper investigates differences in individual
think it is important that students have learning opportunities to…Lead others to (11 items) accomplish a goal. Teacher Leadership I think it is important that teachers …Take responsibility for all students’ learning. Attitudes (6 items) STEM Career I know…About current STEM careers. Awareness (4 items)The Teacher Efficacy and Attitudes Toward STEM (T-STEM) 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 skills, leadership attitudes, and STEM careerawareness [37]. The 63 items across 7 subscales utilize a 5 point Likert-type response formatwhere higher numbers indicate more positive
engineering classes leading to a high probability of student success, and conduct formative and summative evaluations with special focus on determining effectiveness and impact of the project activities, strategies, and adjustments; 5. Conduct a research study that will focus on developing an evidence-based understanding of factors influencing development of STEM identity and the resulting impact on student success, attitudes, workforce readiness, and STEM self-efficacy, with particular attention to impact on first-generation and underrepresented students. 6. Conduct formative and summative evaluations of the project that explore the extent to which each objective is being met. A particular impetus will be
practice between early elementary teachers, K-12 STEMCenter staff and Ph.D. student volunteers could boost in-service, inner city teacher ability andself-confidence to teach coding and introduce robots as authentic, real-world digital learningopportunities. Based on the teacher responses to surveys administered pre- and post-PD sessionsby an independent external evaluator, the results show this to be true.Overall, the first- and second-grade teachers who participated in the BOTS program held apositive perception of these activities, as measured in the surveys from the four PD sessions.These surveys show that teachers felt more confident in implementing the material in theclassroom and demonstrated improved self-efficacy navigating through Code.org
study support this notion as only 10.0% of students’ comments noted that biology isuseful for their career.Future work on this project will involve analyzing the semantic differential scale data and alsorepeating the thematic analysis with other cohorts of students. Additional types of attitudestowards biology will also be explored, including utility value (and the other values involved withexpectancy value theory) and self-efficacy towards biology. This will be an important area toexplore because even though emotions do not seem to be the reason while anecdotallyengineering students may not be enjoying biology, these other psychological aspects couldpotentially explain this observation.References[1] I. Ajzen, "From intentions to actions: A
• 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
was designed to assess improvements in studentlearning and self-efficacy for those participating in the redesigned Introduction to Statics course.Of the 90 students enrolled in the course, 61% (n=55) participated in with complete pre- andpost-course survey responses. Of participating students, 60% are underrepresented minoritystudents (with one or more of the following identities: women, non-binary gender, Black,Latinx). The remaining 40% are white men. At the time of taking the course, 78% ofparticipating students were in their second year of college, 14% were in their third year, and 8%were in their fourth year.Data were collected using a retrospective survey. The Student Assessment of their LearningGains (SALG) was administered at the end
skills require adequate and intentional planning beyond forming students into groups.Research indicates that the effects of TBL on student learning and self-efficacy of studentsduring TBL implementations can be contradictory. While student performances, measured withgrades, show higher or similar trends as traditional learning, perceptions and student attitudes ofTBL are often negative or mixed, as reported in the meta-analysis of effect of TBL by Swansonet. al. [12] In addition, faculty are facing challenges in evaluating teamwork skills and assessingeffective teams because of misconceptions about the aforementioned levels of teamwork and thelack of experience stemming from the history of traditional lecture classrooms. [17].According to
challenges in childhood are not likely topossess the level of resilience they need to effectively deal with failures and setbacks [1].Resilience can be defined as the “process of, capacity for, or outcome of successful adaptationdespite challenging or threatening circumstances” [5]. Developmental researchers have arguedthat youth mainly develop resilience by successfully navigating and overcoming adversesituations [2]. Experiences resulting in successful adaptation can inspire confidence to overcomefuture challenges and equip students with resources on an individual level (e.g. psychologicalresources such as self-efficacy or adaptability [5]). These individual resources, consisting ofaptitudes, motivation and behaviors, are of key importance because
poster.FundingThis project is funded by the National Science Foundation under Award XXX- XXXXXX. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References[1] 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. [Online]. Available: https://peer.asee.org/18591.[2] 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
personalities and psyches. Adding to the mix is thatmany programs have a required co-op rotation that adds an entire range of influences, many ofwhich are unforeseen and out of the control of the engineering programs.Co-op education has been shown to have numerous effects on students. Co-op education hasbeen shown to have an academic effect, with co-op students getting higher grades in somecourses, particularly in those based on soft skills [1]. Co-op education has also been shown tohelp in self-efficacy, particularly in work-related activities and has also shown to have a positiveeffect on retention [2]. Co-op education has also been shown to have a positive effect on startingsalaries (nearly 10%) [3]. The goal of this study is to gauge the effect of
. Cousins also coordinates the department’s National Science Foundation (NSF) Research Experiencefor Undergraduates (REU) Site BME CUReS Cancer weekly summer seminars. Her academic interests includeimplementing and measuring psychosocial interventions that have been demonstrated to improve success for targeted at-risk populations, such as social-belongingness, growth mindset, and self-efficacy. Ms. Cousins holds a Master of Arts inHigher, Adult, and Lifelong Education (HALE) from Michigan State University, and a Bachelor of Science in Biologyfrom Washington State University. Her work has been recognized through staff excellence awards in 2019, 2011, and2008, and the engineering outstanding first-year group facilitator award in 2017. She has worked
following research question and sub-questions: How does the experience of learning differ between labatorials and traditional labs? a. How do social interactions in the lab impact the student learning experience? b. What elements of labs play a role in providing a satisfying learning experience? c. In what ways do labatorials affect student perspectives on physics? d. In what ways does students’ self-efficacy evolve through physics labs? e. In what ways do labatorials and traditional labs differ in promoting the development of conceptual understanding? The mixed methods design involves concurrent qualitative and quantitative datacollection, which was integrated at the data interpretation phase of the research
ourprogram. Moving forward, we aim to develop instruments or adapt published instruments thatmore objectively measure student self-efficacy toward design [19] for use in our program and,more generally, in the context of biomedical engineering education. Bandura proposes four mainsources of efficacy information: performance accomplishments, vicarious experience, verbalpersuasion, and physiological states [20]. We aim to contribute to an understanding of howstudent design confidence relates to such described mechanisms for changes in self-efficacy.AcknowledgmentsThe authors would like to thank the IUPUI Center for Teaching and Learning for their supportvia the Curriculum Enhancement Grant (CEG) and for moderating focus groups.References[1] J.E. Froyd
have introduced a new course:Online Project-Based Engineering Experimentation. The course is project-based and designed tooperate in both a blended format, online with classroom labs, and fully online.Recently the topic of project-based learning for first-year college experiences delineated how toincorporate project-based learning (PBL) into the classroom and curriculum [2]. Limiting thefield to engineering still involves numerous investigators. The work of Fini et. al. has quantifiedmuch of the PBL assessments in terms of self-efficacy, teamwork, and communication skills inthe civil engineering environment [3]. The work of Han et. al. on Hispanic students showed thatPBL had a significant impact on students who were not at risk, albeit the
distribution. These methods are applied here because they are not strongly affected by outli-ers (Helsel and Hirsch) and because the datasets are small. Another important consideration is thatthe sample of responses under question represent 100% of teacher participants for the 2017 and2018 WE2NG programs but represent only a small convenience-sample of STEM teachers in general.Thus, results of inferential statistical methods should be treated with caution when considering theirapplicability to the entire population of STEM teachers. RESULTS & DISCUSSIONPre- and Post-Program Surveys Prior studies have shown that self-efficacy in teachers is critical to both teacher and studentperformance (Doménech-Betoret, et
are beginning to identify success outside of traditional academic metrics. A holistic integrated approach to the recruitment, selection, and support of transfer students into engineering is essential to ensure academic and career success. The theoretical framework of Bandura’s Self-Efficacy model, along with the implementation of Chickering’s Student Development Theory [2] have shown to be meaningful and impactful theoretical touchpoints throughout this process. Introduction The model utilized at Northeastern University prior to and during the invited student’s undergraduate experience includes but is not limited to the following: • Pre-enrollment: pre-transfer identification, two-way institutional visits, cross-institutional peer-to-peer
keyobjectives throughout the primary module content. The pre-survey includes technical questionsand basic demographic questions including GPA and number of Internet courses taken andquestions designed to better understand student self-efficacy toward computer and VR use. Theassessment and evaluation methods based on the objectives are summarized in Table 1 below. Table 1: Summary of assessment & evaluation methods and of their effectiveness Objectives Assessment and evaluation Indication of effectiveness of methods the assessment/evaluation 1. Development of a series of Monthly collaborative Functioning VR modules; VR modules for AM process
encountermultiple barriers that prevent them from achieving their academic goals. Although they oftenhave good intentions to help students succeed, faculty often attribute the academic barriers to thestudents’ lack of preparation, motivation, or effort to learn. Research studies [1] showed that thisdeficit mindset of instructors negatively impacts the students’ self-efficacy and hinders theiracademic growth. A recent report from the National Academies [2] highlighted the need to createa learner-centered culture that “meets students where they are.” This raises an important yetchallenging question for faculty development: “What can be done to help transform facultyperception to achieve such cultural change?”As a Very High-enrolled Hispanic Serving
to obtain a measure of EI, an example being the Emotional Knowledge Test [8] and theMayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) [9], [10].The mixed model approach is coined because the assessment includes non-ability measures andintelligent behaviors [6], [11], [12], [13]. These types of mixed approaches work to evaluateconcepts such as emotional perception but then add in scales such as happiness and stresstolerance [6].Pérez [14] defines the difference in emotional intelligence not by the approach of the model butby the distinction of concept. This concept leads to trait EI, also known as emotional self-efficacy and ability EI, also known as cognitive-emotional ability. Pérez argues that thedifference between mixed and
men, and their opinionshould matter for products and services developed by engineers, scientists, mathematicians, etc.Women make up about 50% of university students across the United States and only 13 to 33%of those students hold a bachelor’s or master’s degree in STEM, with the lowest percentage inengineering degrees [2].Lack of Confidence of Women in STEM Academic Programs:Since many female students struggle with lack of confidence in STEM, studies have beencompleted analyzing female’s perspectives on their courses and experiences compared to theirmale counterparts. A study revealed that women showed lower perceived ability, self-efficacy,performance approach, and mastery approach than men, along with a higher performanceavoidance and
Transitions: Students Draw Their Futures. In Proceedings of the Frontiers in Education Conference. October, Tempe, Arizona, October, 1999.[18] McClelland, D. C., & Boyatzis, R. E. Leadership motive pattern and long-term success in management, Journal of Applied Psychology, 67, 1982, pp 737-743.[19] McClelland, D., Power: the inner experience. Van Nostrand: New York, 1964.[20] Schar, M. Chen, H., Sheppard, S. Innovation Self-Efficacy: A Very Brief Measure for Engineering Students. ASEE Proceedings and Conference, Indianapolis, Indiana. June. 2017.[21] Smith, K. et al. Connecting and expanding the engineering education research and innovation special session. FIE, Oct. 2011.[22] Taylor, S. & Karanian, B. Working Connection
movesFigure 1: List of common problem-solving heuristics referenced in Problem Solving in ComputerScience courseStudents reported feeling intimidated, needing to teach themselves material required for courses,and that there was distance between students who had computing as a hobby and those who didnot 2 . Students identified tinkering and previous experience as an important part of feelingsuccessful in computer science. We are motivated to build students’ confidence and help thempersist in the field. We are inspired by previous work demonstrating that students’ sense of CSidentity, belonging, and self-efficacy is correlated with success 39,23,24 , and that tinkering andskill-building can improve these feelings 38 . We consider students’ comfort in a
, “ProfessionalIdentity Formation and Development in HBCU Construction,” Proceedings of the 2019American Society for Engineering Education (ASEE) conference, Tampa, Florida, USA, June 16– 19, 2019, 2019, pp. 1-16.A. N. Ofori-Boadu, D. Deng, C. Stevens, K. Gore, and I. Borders-Taylor, “Learning Experiencesand Self-efficacy of Minority Middle-School Girls during a ‘Bio-char Modified Cement Paste’Research Program at an HBCU,” Proceedings of the 2019 American Society for EngineeringEducation (ASEE) conference, Tampa, Florida, USA, June 16 – 19, 2019, 2019, pp. 1-16.A. N. Ofori-Boadu, R. B. Pyle, I. Borders-Taylor, C. Bock-Hyeng, and T. Graham, “AdvancingHBCU Students’ Interests in Residential Construction Careers through an NAHB program: AnIndustry-University
be a powerful tool for increasing self-efficacy and experience by allowingstudents to define their own roles on teams. However, despite the literature supportingteam-based learning, it is not a universally positive experience for all students, particularly incases where team difficulties may intensify pre-existing inequities in the classroom. Becausestudents composing a team can come from vastly different academic backgrounds with differentlevels of experience with engineering, a team’s overall performance may be linked to theperformance of students on individual assignments.In this paper, we investigate how individual student performance is related to overall studentteam performance in a first-year engineering design-build-test-communicate
- and post-self-efficacy surveys by Weese and Feldhausen [18], containing10 CT concepts (ALG, CON, DEC, IAI, USE, TAD, DAT, ABS, PAR, QUE). Instrument 3observed engagement and body language of the instructors and how concepts were deliveredthrough each session. Using a rubric based on Dr. Edward Desmarais’s presentationassessment rubric, using evaluation methods and the nine principles of good practice forassessing student learning [25]Storyboard-treeA storyboard tree is a technique to construct a MM by associate information based on amemorable story, promoting retrieval within the flow of a story. The idea of chaining theinformation as a story adopted from chain association method [2].Figure 1 presents a high-level overview of the primary
, and demographic characteristics, in conjunction with ST skills and PP, might influence the academic performance of engineering students. All the mentioned measures and scales, including the Big five personality instrument, motivation, self-efficacy, time management, and demographic characteristics, as well as the current study variables, which are part of the comprehensive theoretical model of a bigger study, will be used for future data collection and analysis. Moreover, it would be beneficial to compare the predictive validity of ST skills and PP to other well-known predictors of academic performance. Future studies would also include the type of training needed to enhance students' level of systems skills based on