21 100%Of the 21 students, 10 were granted full scholarship to attend, one received a half-scholarship,and the remaining 10 paid the full amount. In addition, the gender composition is shown below: Gender N % Male 15 71.4% Female 6 28.6% Total 21 100%The overall program demographics indicate a lower percentage of under-represented minoritygroups in STEM (28%) while the female population composed 36% of the population.Of the 21 students enrolled in this section, 19 were given parental permission to take the exit(self-efficacy) survey
explicitly ask them to display and explain their output displays before theyleave. This is a time-consuming activity; to create time to do this, we have reduced the numberof required tasks in each lab, allowing us and the students to concentrate on a few, criticalconcepts. In this way, we are able to verify assure that students understand what they have doneand they can correct errors before they leave lab.Our third problem-solving activity for the students involves the validation of their results byquantifying uncertainty and identifying discrepancies between predictions and measured results.While it is not unusual for lab instructors to require that uncertainty be quantified, we askstudents to take the extra step of discussing uncertainty in depth
classroom or workplace is not measured by a deepattention to issues of race, ethnicity, gender, etc. Conceivably, many Clark School alumnirepresented in the study were trained in more of a traditional engineering pedagogical tradition,and therefore did not explicitly need to grapple with issues of race in order to persist in theircourses. Foregrounded by these prior studies and the implications described here, it may not beespecially surprising that some study participants did not respond strongly to the idea that therewas any type of negative treatment based upon their race or gender identity. At the same time,the lack of attention to identity based on race may have allowed these alumni to see faculty in amore positive manner.Notwithstanding
to practice to enhance students experience in learning dynamics,” in 2015 ASEE Annual Conference & Exposition, p. 10.18260/p.23821. [3] S. Huang and J. M. Mativo, “Impact of interventions on students’ conceptual understanding of dynamics principles and self-efficacy,” in 2015 ASEE Annual Conference & Exposition, p. 10.18260/p.24223. [4] P. M. Nissenson, J. Seong, C. Chen, P. A. Dashner, and A. C. Shih, “Developing web-assisted learning modules in vector dynamics,” in 2014 ASEE Annual Conference & Exposition, https://peer.asee.org/20297. [5] E. Perry and J. Marchetta, “The effectiveness of online learning objects in helping stu- dents master required course competencies,” in 2006 ASEE Annual Conference &
teamwork throughout the course. Wefocus on the concept that leadership starts with self-knowledge (Sosik, 1999; Atwater, 1992;Colcleugh, 2013). A reflective self-evaluative process with respect to social intelligence iscorrelated to the development of leadership skills (Condon, 2011). The team and leadershiplearning activities begin with learning about self and are extended to how to inspire and leadothers. Reflection based on observing the impact of team and leadership decisions isincluded. Self-efficacy and accountability are foundational for leadership, professional, andlife long learning development. Assessment of individual skills, conflict managementstyles, and personality feed self-knowledge and reflection on how one's own actions
and math literacy, as well as standardized test scores,as opposed to just with faculty researchers? (2) Does simultaneously performing research andmentoring HS scholars improve UG outcomes in academic and research self-efficacy, andleadership? (3) To what extent does participation in the Center for multiple years contribute toretention, graduation, and job employment outcomes? (4) To what extent does participation in aCenter with participants from all educational levels cultivate a sense of belonging among womenand minorities, and contribute to their retention and success? (5) To what extent does participationin masterclasses and research with HS and UG scholars improve a teacher’s capability to translatetheir experiences and new knowledge
., Florida Gulf Coast University Dr. Kunberger is a Professor in the Department of Environmental and Civil Engineering in the U. A. Whitaker College of Engineering at Florida Gulf Coast University. Dr. Kunberger received her B.C.E. and certificate in Geochemistry from the Georgia Institute of Technology and her M.S. and Ph.D. in Civil Engineering with a minor in Soil Science from North Carolina State University. Her areas of specialization are geotechnical and geo-environmental engineering. Educational areas of interest are self-efficacy and persistence in engineering and development of an interest in STEM topics in K-12 students.Dr. Corrie Walton-Macaulay Ph.D., P.E., Saint Martin’s University With degrees in both
to experience nurturing environments and reported higher levels of self-efficacy, content interest, and support than their peers at PWIs [8], [12]. Institutions with higherrates of persistence and graduation rates with STEM underrepresented minority students, reportincreased student involvement on campus, have welcoming environments, and encouragemeaningful connections with faculty, which are all factors in fostering social-belonging [8].Understanding how high-performing institutions create environments of social belonging and asense of belonging can provide a plan to increase rates of success and degree completion forminority engineering students.Evidence indicates that there is a relationship between campus involvement
the topics and tasks related to both their civil engineering education and their careers in civilengineering. Trends in the data indicate that including an active learning component in atraditional passive lecture series adds value for students in two worthwhile ways. The first beingan increased awareness of less traditional, yet critically important, professional communicationskills and second, students develop a sense of self efficacy in a public facing aspect ofprofessional life.Overall the structured active learning approach to the planning and execution of a traditionalweekly lecture series by the students was a success. The students found that both theplanning/execution of their weekly lecture and attending the lectures offered by their
, modeling,number line, functions, rover, statistics, tug of war, and algebraic expressions. For further detailsof the PD program, see [15,21].At the end of the PD, the research team verified that the teachers had become self-sufficient toteach robotics-based science and math lessons in their classes. To assess the confidence and self-efficacy of teachers, the research team conducted a post-program survey. In the survey, teacherswere inquired about their confidence, motivation, teaching effectiveness, and interest in classroomteaching of robotics-activity based lessons. A total of 20 teachers responded to the survey of whom17 teachers strongly or somewhat agreed that the PD participation increased their confidence as ateacher. Moreover, 18 teachers
, decision making, and self-efficacy will be monitored through a mixed methodsassessment including a follow up quantitative survey and an ethnographic interview. The researchquestions of the project are as follows: 1. Does participation of alternately admitted students in student success programs increase student persistence in engineering programs from semester 1 to semester 2 and from year 1 to year 2? 2. What aspects of student success programs are valued most highly by alternately admitted students in encouraging their success in Engineering? 3. For alternately admitted students who do not participate in student success programs, what factors discourage their participation and what out-of-college programs do
-Jan-2019][4] S. A. Ambrose, M.W. Bridges, M. DiPietro, M.C. Lovett, and M.K. Norman, How learning works : seven research-based principles for smart teaching: John Wiley & Sons, 2010.[5] A. Williams, "Online homework vs. traditional homework: Statistics anxiety and self- efficacy in an educational statistics course," Technology Innovations in Statistics Education, vol. 6, no. 1, 2012.[6] D. S. Brewer and K. Becker, "Online homework effectiveness for underprepared and repeating college algebra students," Journal of Computers in Mathematics and Science Teaching, vol. 29, no. 4, pp. 353-371, 2010.[7] J. Mestre, D. M. Hart, K. A. Rath, and R. Dufresne, "The effect of web-based homework on
quitting, suggesting that the most pertinent information should appear in the first half ofthe video.Wu et al. investigated the key factors of student learning satisfaction in a blended e-learningenvironment, where instruction consisted of a mix of face-to-face and online education. 9 Theyargued that a blended learning environment has the potential to maximize the best advantages ofboth instructor-driven and online education. Using questionnaire data, they discovered thatcomputer self-efficacy, system functionality, content feature, and interaction all impact a student’sexpectations, learning climate, and satisfaction of a course.Lim et al. looked at the differences in learning outcomes and student perceptions betweenstudents enrolled in two
interdisciplinaryengineering field to inform adaptive undergraduate curricular reform. Interdisciplinaryengineering programs and courses, those that focus on solving problems that require skills andtechniques of multiple disciplines [1], have gained traction in engineering education [2], [3].Such programs have also been shown to promote 21st century skills (critical thinking, complexproblem solving, self-efficacy, etc.) [4] and diversity in the engineering pipeline [5]. One fieldthat both embodies the characteristics of interdisciplinary engineering and has motivated thedevelopment of undergraduate specific programming is tissue engineering and regenerativemedicine (TERM). TERM, a subfield of biomedical engineering (BME), brings togetherresearchers from a variety of
positive and significantrelationship with workplace learning and job performance [4]. Entrepreneurially mindedengineers are not just the entrepreneurs with engineering degrees; they are able to fill both theroles of traditional staff engineers as well as leadership roles within organizations [5].The set of teaching and learning strategies that aim to support the KEEN 3Cs framework for EMis referred to as Entrepreneurially Minded Learning (EML) [6]. Oftentimes, EML builds onactive pedagogies, such as Project-Based Learning (PBL), and focuses holistically onopportunity recognition, stakeholder awareness, discovery, and value creation [7]. There arethree entrepreneurial learning domains EML targets: affective factors (such as self-efficacy,intention
engineers than non-HSIs [6]. Focusing efforts atthese institutions has the potential to increase representation of the Latinx population inengineering.Faculty play a critical role in educational change efforts and within the day-to-day support ofstudents’ self-efficacy and self-regulated learning behaviors [7], [8]. For Latinx students, inparticular, faculty support is a key factor in student retention [9]. Faculty support students byserving as role models and mentors, which if maintained, particularly outside the classroom, cancontribute to higher student satisfaction and persistence to graduation [10].Within engineering programs at HSIs, and engineering programs more broadly, instructional,non-tenure track faculty comprise nearly 14% of the
belonging and academic integration (expectations students havefor positive student-faculty interactions are met), positively relates to self-efficacy [4], [16]. ForURM students within STEM fields, insufficient support systems, stereotype internalization, andexperiencing racism and isolation have been recognized as elements that influence attrition [17].Working to improve the climate within undergraduate engineering programs can address thesefactors and may lead to improvements in the retention of women and URM students. Insummary, it is important that instructors are aware of these potential barriers to success, attunedto how students are experiencing learning in their classrooms, and address issues that contributeto a chilly classroom climate
’ academic and non-academic performances.Research13 indicates that students who engage in these types of learning experiences showpositive attitudes toward learning itself, collaborative behavior, and team communication.Students’ interests, self-confidence, and self-efficacy developed especially when the tasks relatedto real-world experiences. Eighty-five percent of the students strongly agreed or agreed that theworkshops helped them understand the work of engineers, and 78% reported the workshophelped them think like engineers. More than half the students reported that the workshop madethem think that they may want to become engineers. Additionally, 81% reported they learnedsome new engineering ideas they did not know before the workshop.Another
of First Generation Community College Students," Community College Review, vol. 26, no. 4, pp. 3-22, 1999/04/01 1999.[15] W. C. Lee and H. M. Matusovich, "A Model of Co-Curricular Support for Undergraduate Engineering Students," Journal of Engineering Education, vol. 105, no. 3, pp. 406-430, 2016.[16] M. Meyer and S. Marx, "Engineering Dropouts: A Qualitative Examination of Why Undergraduates Leave Engineering," Journal of Engineering Education, vol. 103, no. 4, pp. 525-548, 2014.[17] J. A. Raelin, M. B. Bailey, J. Hamann, L. K. Pendleton, R. Reisberg, and D. L. Whitman, "The Gendered Effect of Cooperative Education, Contextual Support, and Self-Efficacy on Undergraduate Retention
topics and real-world problems [1], [2]. The lack of thisconnection could be due to time and context separation [2].The lack of connection and understanding could impact students’ attrition rates. Engineeringgraduate rates in the US have been consistently around 50% over the last 60 plus years [3]–[8].Many factors contribute to these low rates, such as classroom and academic climate, grades andconceptual understanding, self-efficacy and self-confidence, high school preparation, interest andcareer goals, and race and gender [9]. The classroom environment and academic climate mayinclude factors such as the lack of feeling engaged or differences in teaching styles. Grades andconceptual understanding means difficulties in understanding concepts and
technicians that can adapt to new processes, systems,and equipment were mentioned repeatedly by employers. This poses an interesting question forfuture work in this area: How can future AM technicians be taught to problem-solve anddevelop the self-efficacy, motivation, and initiative needed to operate systems they haven’t seenyet? Although this study did not focus on non-topical nouns, more work should be done in thisarea.The creation of an AM Body of Knowledge (BOK), which combines the competencies thatemployers, academia, and professional
gather thestudents’ perceptions. Others have used Likert-type scales in the context of design assessment; afew examples include a decision-making tool for prototyping9, self-efficacy surveys in a designcourse10, and learning outcomes surveys for pre-capstone teams11.Despite the ubiquity of Likert-type scales within the design literature, there are a number of keychallenges that researchers have experienced while using them. Studies have found that peopleanswering questions using Likert scales may preferentially choose options on the ends of the scaleinstead of choosing less extreme answers12. Other studies have shown that misuse (ormisunderstanding) of the midpoint on the Likert scale can confound results; if someone wants toavoid a question, or
courses have better entrepreneurial self-efficacy [17]. Hence, students who took entrepreneurship courses showed more interest in startingtheir own business than others. Motivated by the aforementioned reasons, and by furtherconsidering [18],[19], entrepreneurship was included as an integral component of the roboticseducation workshop for high school participants conducted at the NYU Tandon School ofEngineering in summer 2018.To effectively and seamlessly integrate robotics and entrepreneurship in our curriculum, theproject team brainstormed and envisioned real-world projects (discussed in later sections) asdesign challenges for summer workshop participants. Moreover, to enable the participants learnbusiness development and product design
-determination theory variablesincluding competence, autonomy, and relatedness, with the addition of effort scale items inaccordance with recommended practices [33]. As the number of student responses is very small,we share frequency distributions below.Competence, according to SDT, refers to a sense of accomplishment and self-efficacy related toa focus area [19]. Three questions contributing to the competence construct were, “during thiscourse I felt…” a. that I was successful in completing difficult tasks. b. that I was taking on and mastering hard challenges. c. very capable of learning the material.As illustrated in Fig. 1, most of the answers to this question were positive with three negativeresponses to “I felt that I was taking on and
major rolein institutional priorities, individual experience, and engineering culture that necessitates anuanced and holistic research agenda.1.1. Prior Empirical Work on Smartness Relevant in Engineering EducationDespite evidence that smartness is interwoven into disciplinary practice and implicated in issuesof equity and inclusion, there is a limited amount of critical dialogue about it in our community.Some extant work has concluded that intelligence beliefs are linked to self-efficacy and the useof active learning strategies and knowledge building behaviors [18]. A study considering howyoung African American students construct perspectives of science and school related to theirown identity showed that students conceptions of science and
challenges General student challenges Typical challenges experienced by undergraduates Non-traditional students These students had different demographics and needs Supports provided by the program Financial support Financial supports critical for focused participation in higher education; opens academic doors Social activities Transfer students have different personal needs On-campus housing Peer mentor support Mentors are champions who support and value Coordinator support students Confidence Participation in a program supports student self
than a survey.When the total number of themes identified per student on the post survey were compared to theLikert-type response items, two weak correlations were found: student ratings of importance ofethical issues to engineering (Spearman’s rho 0.184, two-tailed sig. 0.002) and average self-efficacy (preparation/ confidence across 4 items; Spearman’s rho 0.140, two-tailed sig. 0.017).However, there were not correlations with students’ rating of the importance of the considerationof societal issues to engineering (Spearman’s rho .083, sig. .156) or the level they felt prepared toface ethical issues in their future work (Spearman’s rho 0.90, two-tailed sig. 0.125). It wasexpected that if students’ believed ethics was important they would have
;Development, as shared through MentorCity, that 75% of industry executives point to mentorship asplaying a key role in their career [8]. For engineering students, even if this value of mentorship is known,the process by which to find a mentor can be intimidating and awkward. For many, gender, race, andperceived self-efficacy define these limitations [9].A year-long intentional industry mentorship program was developed at the University of San Diego toaddress this lack of workforce preparedness and intimidation around mentorship. The Industry ScholarsMentorship Program, was industry initiated and launched in Fall 2018, as a continuation of the IndustryScholars immersion program, also industry initiated but more focused on skillset development and
average, higherGPAs and are more likely to graduate in engineering than students who do not participate in co-ops [8], [11]. Furthermore, co-op students experience positive gains in employment outcomes,including positive mentoring relationships, socialization into the engineering profession, andhigher post-graduation starting salaries than students who do not participate in co-ops [7], [8],[12], [13]. Studies measuring outcomes related to co-op participation consistently affirm thevalue of this experience.Qualitative studies of students’ perceived co-op experiences also confirm the positive effects ofco-ops. One study of underrepresented minority engineering students who completed either co-ops or internships found that these students reported
represent decreased, increased or constant remained intentions in this order.Furthermore, the table shows the overall level of Intentions according to the EMS surveys, whereas0 represents the lowest and 4 the highest intentions. In addition, the table shows the majors of theparticipants. In total 19% have founded or co-founded a for-profit or non-profit company, 6% are 2 C=Constant, I=Increasing, D=Decreasing 3 Measuring on a scale of 0-4, where 0 indicates the lowest and 4 the highest level of intentionsin academia, 25% are working for a small-sized and 50% for a medium- or large-sized business.To make sure privacy is ensured, all the names of the interviewees were changed in order to hidetheir identity.Data Collection and