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
the last 60 years, engineering graduation rates have been around 50% [4]; similarly, inMexico, engineering graduation rates barely achieve 40%. A review of the literature conductedby Geisinger and Raman [4] identified a set of factors that contribute to the attrition of students.These factors include classroom and academic environment including teaching and advising,grades and conceptual understanding, self-efficacy and self-confidence determined by highschool preparation in math and science among others. Engineering educators have argued thatpersonal and socio-economic factors can contribute to the attrition of students; however, there isa proportion of engineering students that leave because of the educational system. Studies haveshown that
them to an authentic and iterative engineering design activity helps studentsincrease their self-efficacy and confidence in relation to their design skills.This paper addresses the research gap in the Maker Movement literature about the impact thatthe integration of making activities into cornerstone design courses has on engineering students.The existing literature lacks studies that aim to determine specific impacts of maker education onstudents’ technical or soft skills [16]. This study follows fourth-year mechanical engineeringstudents in their capstone design course and explores the effects of different students’ learningexperiences on the outcome of their capstone design project. Students who took one or both ofthe courses discussed
wheels and DC motors connected on a slave MCU that receives the instructions formovement and decides the direction of the motors. Another slave MCU is connected to theultrasonic sensor that sends the signal when an obstacle is present which triggers an avoidancealgorithm as a safety measure in case there is an object or a person in front of it. IR color sensorson the bottom of the robot detect the following path and if it has reached a specific spot thatrequire a guided explanation, (laboratories, classrooms, showrooms, etc.). The robot wassupposed to be big enough so that tourist and people on the area could easily see it or follow it.This was one of their biggest challenges because considering a weight of 2 kg they needed tofind the correct
exploratory framework as An Exploratory Black EngineeringTransfer Student Success Model in Figure 1.This model was informed by a number of well-established persistence and retention models [31],[32], [33]. It was also influenced by Wang’s STEM Transfer Model [30], which suggests thattransfer and retention is influenced by a series of factors. These factors include a student’s self-efficacy, outcome expectations, and the four-year institution’s willingness to welcome transfersonto their campus. After reviewing these prior works, we incorporated key components andelements of retention from these models, along with key components associated with Blackengineering undergraduate success.As our exploratory model illustrates, the process of Black engineering
, with single-gender groups having more equitable participationpatterns than mixed-gender groups. For example, in a systematic review of 94 studies of smallgroup discussions, researchers found that single-gender groups had more purposeful functioningthan mixed-gender groups [83]. Other studies have found that single-gender pairs of elementarystudents had more verbal interactions, were more task-focused, and were more likely to sharematerials [84]. In addition, students’ self-efficacy in engineering increased significantly if theyparticipated in single-gender engineering programs but decreased significantly for those inmixed-gender programs [86].Single-gender small groups may be particularly effective in fostering girls’ equitable engagementin