, recall, and apply knowledge[8], [11]. Category two gives importance to content knowledge by developing business models,analyzing market forces, and performing different tasks. The third category emphasizes affectivefactors, which are the feelings one has, such as self-efficacy, intention, interest, or motivation[8], [11]. These domains are used conjointly when integrating learning course objectives withEML components. Furthermore, to implement an entrepreneurial mindset, students must acquirethese affective factors in combination with learning the same framework and approaches asentrepreneurs [8]. These categories were referenced alongside the EML framework- curiosity,creativity, and connections- to identify skills shown in Table 1- that can be
–something also mentioned frequently in the survey responses– which is arguably the most powerful reason to avoid something. 16 Preliminary Takeaways Pull factors • Women tend to pursue engineering when they experience positive feelings about their abilities (self-efficacy) and have positive role-models and programs that foster their individual growth Push factors • Women tend to struggle with their choice to pursue engineering when they feel like family members are not supportive or that engineering may hinder their future family goals
; Jimenez, M. A., & Santiago, N. G., & Cardona-Martinez, N., & Suarez, O. M. (2021, July), Work in Progress: Building Career Goals and Boosting Self-efficacy in Engineering Students Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference.[20] de Campos, D. B., de Resende, L. M. M., & Fagundes, A. B. (2020). The Importance of Soft Skills for the Engineering. Creative Education, 11, 1504-1520.[21] Karimi, H., & Pina, A. (2021). Strategically Addressing the Soft Skills Gap Among STEM Undergraduates. Journal of Research in STEM Education, 7(1), 21–46.[22] Tucker, T., & Vernooij
increased problem-solving confidence and objective measures of problem-solvingperformance.Chemical Engineering Review CourseFor this study, students were enrolled in a course entitled Chemical Engineering Review. Thiscourse aims at preparing students for the Fundamentals of Engineering (FE) exam throughreviewing major topics within engineering. The FE exam is a nationwide, criterion-referenced,discipline-specific test. Engineering students typically take the FE exam during their senioryear. Students take the FE exam for a variety of reasons including the pursuit of engineeringlicensure. The course is designed to review material students covered in prior courses and tosynthesize main points from those courses.The first nine weeks of this course were
surveys were created in consultation with AudreyRorrer, author of the CISE REU Evaluation Toolkit survey instruments [17.18]. The surveyscontain subscales measuring research skills, leadership skills, self-efficacy, sense of identity asscientists, intention to attend grad school, intention to pursue engineering, mentoringrelationships, attitudes about research, etc. This section contains the insights derived from theSageFox assessment report.REU Highlights:Despite the hybrid nature of the experience in Summer 2021, the data collected over the lastthree years suggests that the program has successfully inspired students of color to pursueengineering by offering them hands-on research experiences and mentorship. The survey resultsof this year showed
assigned texts and interactions with each other and projectleaders in a workshop environment. The assigned texts opened up discussions of studentexpectations about entering the professional world; students were also taught fundamentalinterview techniques and given the opportunity to practice them with each other. This dualfocus—philosophical and practical—was intended to enrich students’ ability to thoughtfullyinterview the alumni and promote self-efficacy. Each student met with project leaders threetimes: for an introductory meeting to explain the concept of Vision Venture and to learn about thestudents’ personal goals for their participation; for a workshop discussion of assigned readingsand a lesson on semi-structured interview skills; and for
enhance critical thinking,” Metacogn. Learn.,Vol. 5, pp. 251-267, Oct. 2009, doi: 10.1007/s11409-010-9060-6.[18] D. Kember, J. McKay, K. Sinclair, and F. K. Y. Wong, “A four‐category scheme for coding and assessing the level of reflection in written work,” Assess. Eval. Higher Educ., vol. 33, no. 4, pp. 369-379, Aug. 2008, doi: 10.1080/02602930701293355.[19] D. Akamatsu, M. Nakaya, and R. Koizumi, (2019). “Effects of metacognitive strategies on the self-regulated learning process: The mediating effects of self-efficacy,” Behav. Sci., vol. 9, no. 12, p. 128, Nov. 2019, doi: 10.3390/bs9120128.[20] A. Efklides, “Metacognition defining its facets and levels of functioning in relation to self-regulation and co
Factors Program. Her research focus includes self-efficacy, mental toughness, and microaggressions. Darnishia is also the Pavlis Educator and Manager of Global Engagement Programs in the Pavlis Honors College at Michigan Tech. She’s a foodie who enjoys spending time with friends and family as well as impromptu road trips! © American Society for Engineering Education, 2022 Powered by www.slayte.com Reflecting on Culture in an Immersion Experience: How to Prepare Students for the UnexpectedAbstract:Experiential learning is increasingly recognized as a high-impact educational practice, andreflection is an essential piece of
an after-school program, engage parents, and provide gender and ethnic-matchedmentors and role models in hopes to positively impact participant self-efficacy (Mitcham et al., 2012).With buy-in from the principal, solicitation emails were provided to principals about the Algebra by 7thGrade. The university-based team developed recruitment activities that ranged from attending introductionof teacher nights, attending school-wide math nights already planned, and pizza dinners for targetedfamilies. The top three schools were invited to participate in the inaugural Ab7G. They were given firstpriority for enrollment and each school was given 10 seats until the priority deadline. After the priority
learning, including improvedlearning, retention, and self-efficacy [14]. Several forms of active learning include studentstalking with each other about the course content through working together, including cooperativeand collaborative learning and specific activities like "think-pair-share." For example, asoperationalized by Michelene Chi (2014), interactive learning includes students working togetheron activities that require collaboration [15].There is abundant evidence that these collaborative activities are effective for student learning. Ameta-analysis by Freeman et al. (2014) compared student performance in undergraduate STEMcourses under traditional lecturing versus active learning and showed the improvement of thestudent engagement when
. Thesis, Clemson University,Clemson, SC, 2020. [Online]. Available: https://tigerprints.clemson.edu/all_theses/3335/[8] R. L. Hughes, and S. K. Jones, “Developing and assessing college student teamwork skills,”New Directions for Institutional Research, vol. 149, pp. 53-64, 2011. [Online]. Available:http://dx.doi.org/10.1002/ir.380[9] A. Konak, S. Kulturel-Konak, G. E. Okuda Kremer, and I. E Esparragoza, “Teamworkattitude, interest, and self-efficacy: Their implications for teaching teamwork skills toengineering students,” in 2015 IEE Frontiers in Education Conference, 2015. [Online].Available: https://ieeexplore.ieee.org/document/7344118[10] K. Paterson, C. Swan, and D. W. Watkins, “Going is not knowing: Challenges in creatingintercultural
Materials and Processes Selection Course,” 2002 American Society for Engineering Education Annual Conference and Exposition Proceedings, Montreal, Canada, June 17-19, 2002. Session 1526.9. A. Bandura, Self-Efficacy: The Exercise of Control, W. H. Freeman and Company, NY, 1997.10. A. Shekar, “Project Based Learning in Engineering Design Education: Sharing Best Practices, “2014 American Society for Engineering Education Annual Conference & Exposition Proceedings, Session 1080611. A. Guerra, R. Ulseth, and A. Kolmos, PBL in Engineering Education: International Perspectives on Curriculum Change, Sense Publishers, Springer, Rotterdam, the Netherlands, 2017.12. J. E. Mills and D. F. Treagust, “Engineering Education – Is Problem-Based or
PBL in aFulbright Scholar program in Bulgaria during the pandemic, which came with another set ofchallenges beyond what was mentioned earlier. Originally, COIL (Collaborative OnlineInternational Learning) was planned for the students from both WCU and TU-Sofia to do acommon project with remote collaboration, because COIL, as the global level PBL, was shownto help the students learn self-efficacy [9], but the mismatched academic calendars made theCOIL plan impossible to materialize. However, some interactions between the Bulgarianstudents and the visitors from the U.S. in Bulgaria were made possible. Midway through thesemester, due to the pandemic mitigation measures, all the college courses in Bulgaria wentonline. Although we were prepared to
, (5)networks from college friends, (6) networks from colleagues, (7) networks fromneighborhood friends, (8) perspective taking, (9) reading people, and (10) mediatingcapability (Verdin et al., 2021). An additional construct is included in the instrument to assessstudents’ engineering performance and competence beliefs (Verdin et al., 2021). Createdusing ethnographic and interview data, the 10 constructs place a clear focus on socialexchanges, cultural and familial impacts on individuals (Verdin et al., 2021), and anindividual’s personal beliefs about their self-efficacy in engineering (Verdin et al., 2021).Social exchanges are salient as they can impact how an individual learns and subsequentlyapplies the material taught. For instance
] A. Bandura, “Self-efficacy: The exercise of control,” New York: W. H. Freeman, 1997.[34] D. I. Cross, “Alignment, cohesion, and change: Examining mathematics teachers’ belief structures and their influence on instructional practices,” Journal of Mathematics Teacher Education, vol. 12, no. 5, pp. 325-346, 2009.[35] P. A. Ertmer, “Teacher pedagogical beliefs: The final frontier in our quest for technology integration,” Educational Technology Research and Development, vol. 53, no. 4, pp. 25- 39, 2005.[36] J. P. Van Haneghan, S. A., Pruet, R. Neal-Waltman, & J. M. Harlan, “Teacher beliefs about motivating and teaching students to carry out engineering design challenges: Some initial data,” Journal
, can lead to deficit-based thinking and discriminatory behaviors [11], [13]–[15].The ideology of meritocracy also perpetuates inequities in engineering through its reliance on theconcept of “merit” to compare individuals. “Merit” is often defined as synonymous with “talent,”“achievement” and/or “hard work” [3]–[6]. The logic of meritocracy suggests that individualswho possess more “merit” deserve more rewards and opportunities [2]–[6]. However, evaluating“merit” is not a straightforward process. Attempts to do so have often reproduced existinginequalities. For instance, standardized tests such as the SAT have historically been used as aproxy measure for student merit in the context of seeking admission to selective colleges [3], [5],[6
synchronous and asynchronous online versions of the same course.The project team critically examined existing active learning materials used for face-to-facedelivery of the course and adapted them for use in online and socially distanced face-to-facecourse delivery during Fall 2021. The authors monitored the levels of student engagement ineach group and surveyed individual students to measure their perceived levels of engagementwith course activities. Our assessment data suggests that students attending face-to-face classmeetings (with or without social distancing) felt more engaged with the active learning coursematerials than those taking the class online. Students interacting with the active learning coursematerials, whether face-to-face or though
understanding the trade-off between high qualitycontent and the extra time and money it takes to create higher quality videos. It furtherhelped establish best practices for online content such as where the content should be accessedfrom, for how long, and the overall delivery of the materials.2 Related Works2.1 Summer CampsSummer Camps have become popular and efficient methods in education research. For ex-ample, Aritajati et al. [1] investigated students’ attitudes towards computing careers andtheir computational self-efficacy by using summer camps. Braswell et al. [2] proposed tocreate a virtual summer camp that provides informal computer science learning opportuni-ties that were intentionally designed to increase the confidence of Black and
Management in the U.A. Whitaker College of Engineering at Florida Gulf Coast University. Dr. Kunberger's educational research interests are in self-efficacy, persistence, and effective learning approaches in engineering and the development of an interest in STEM topics in K-12 students.Christopher R. Shearer (Associate Professor) Dr. Shearer is an Associate Professor in the Department of Civil and Environmental Engineering at the South Dakota School of Mines and Technology. His research investigates the chemical, physical, and mechanical properties and durability performance of infrastructure materials, with a focus on sustainable concrete materials technology. He also researches new strategies to improve STEM education
career outcomes [10]. In addition, capstone courses arenow explicitly promoting entrepreneurial versions of the course; while many capstone projects aredefined by industry partners and sponsors or sometimes academic projects, courses are now beingpiloted that specifically cater to the needs of students who want to discover and work on their ownideas [11].Entrepreneurially infused educational opportunities are also catching on with some vigor in designcourses before senior year. These cornerstone experiences were developed for first and secondyear engineering students based on the known impacts of design on self-efficacy and persistencewithin engineering through the formation of an engineering identity [5]. Existing frameworks, suchas the
-determination, self-efficacy, and grade motivation related to engineering beforeand after completing their VR story experience. Descriptive statistics and inferential statisticaltests will be used to gauge the impact of the VR story by analyzing the differences between thepre- and post- questionnaire ratings for each subscale in addition to the total measurements. Inaddition, semi-structured interviews will be used to gather qualitative data on students’ engineeringmotivation. The quantitative findings from the engineering motivation questionnaire will beinterpreted and then these results will be compared with the qualitative themes from the semi-structured interviews. In this way, the qualitative data will be used to emphasize and detail
practice from ouranalysis: (a) authentic-task driven, (b) collaborative inquiry, (c) reflective-design process, (d) engineeringidentity. Future we will build on this study and develop some valid instruments to measure thesecharacteristics in order to clarify the relationship between community of practice and engineeringstudents’ learning effect.Keywords: community of practice; engineering learning; authentic-task driven; collaborative inquiry;reflective-design process; engineering identityINTRODUCTIONAs the largest developing economy in the world, China is facing a lot of challenges in terms of emergingindustries and new technologies. As a result, China is calling for increasing the quantity and quality ofengineering students to meet society’s
. Forexample, various videos of Professor Marc Edwards discussing the Washington DC and/or FlintMI lead in drinking water crises were shown during class [57-59].Assessment: Student SurveyA survey instrument has been used in the course that combines elements of engineering ethics(value, interest, and systems thinking from [60]), the Engineering Professional SocialResponsibility Assessment (EPRA, [61]), and sustainable engineering attitudes (self-efficacy,value, affect, negative; [62]). These instruments were all developed with first-year civilengineering students among the respondent population. The specific items on the survey havevaried over time but consist primarily of Likert-type items. The survey was given at the start andend of the semester in
presents a manual methodology of data mining studentsketches and presents conclusions for improving the CBL software and guidelines for instructors.Future work could include automation or semi-automation of the data mining process.Overall the Spatial Vis software was successful in improving the majority of students’ spatialvisualization ability as measured by the PSVT:R. In the class studied, the overall pre-test scoreaverage was 73% while the average post-test was 86%. Of special interest is studying studentswho entered the class with PSVT:R scores below 70% since prior studies have shown that thesestudents are at risk of dropping out of STEM [9], and in this group the PSVT:R scores increasedfrom 53% on the pre-test to 77% on the post-test. The
, connection, and being valued, is a keyfactor in college students’ success. Belonging is positively associated with students’ transitionsto college, retention, persistence, and self-efficacy [4], [5]. Additionally, a sense of belonging iskey to one connecting with their classmates, their community, and eventually their profession[4]. This sense of belonging is not only invaluable to fostering connection and identity, it is alsokey to motivation and resilience [6].Lack of belonging negatively impacts students’ academic performance as well as theirengineering identity. Therefore, it is very important for engineering departments to foster a senseof belonging for students to identify with engineering and be successful in college [7]. Amongengineering
and students canbe met regardless of their prior experience. Results of camps can be quite striking, with their efficacy being measured in varied waysfrom one implementation to the next. One common method for analyzing the efficacy of acamp is the application of Pre- and Post-surveys. In some instances, though the majority ofteachers in a teacher-exclusive camp had an increase in pedagogical understanding, some K-12 teachers experienced decreases in evaluation metrics drawn from these surveys [27]. Othercamps showed strong increases in student’s self-described ability to identify cybersecurityrelated concepts and their self-identified desires to pursue the field of cybersecurity in thefuture professionally [28]. Though the individual
learning of used in industry? course material? industrial automation? Open-Ended What did you like about What did you not like What do you think needs Questions: the labs? about the labs? to be added to the labs?4.1 Results from MTE 100MTE 100 serves as an introduction to the discipline, and to university, and so the learningoutcomes for the course are introductory in nature. Among other outcomes, this course seeks tointroduce structured design practices to students and provide them an opportunity to practicedesigning in an environment that is conducive to design self-efficacy development. The end
improved students' access to WILs.Most notably, Joy drew upon her personal network with her high school robotics team to foster amentorship relationship that later facilitated her access to internships. She received arecommendation for an internship from an engineer she connected with through FIRST robotics. One of the mentors is one of the engineers of this company now. He was just hired and so he recommended me for this job which I knew robotics would pay off, and not just learning how to use a tape measure, but actually having connections that will get me jobs in the future. … He remembered me and offered to let me work there as an intern for summer, cause he thought that I would be a good fit.Joy pulled from
]), civil engineering (e.g. [24]), and others. The BOK for an ABET-accredited 4-yr surveying engineering technology/geomatics engineering or geospatial sciencesprogram comprises five knowledge bases including positioning and measurement analysis,remote sensing technology and imagery, GIS, property boundary law, and land development[25]. Programs with ABET accreditation credentials ensure that graduates have met theeducational requirements necessary to prepare for certification or licensure.Rarely, if ever, do traditional syllabi in highly technical fields develop soft skills such asempathy, justice, equity and other human-centric qualities [14, 19]. The role and importance ofsoft skills versus hard skills are critical in well-balanced graduates in
thebasics of engineering computational thinking [15] [16] [17]. Other institutions use a direct-to-major admission strategy and vary in how much computing is introduced in the first year.Regardless of admission type, white males continue to receive most of the engineering degrees inthe United States [18]. Factors including technology access, pre-university course access,classroom dynamics, societal stereotypes, social support, cultural relevancy, academic advising,and self-efficacy affect how women and underrepresented minorities prepare for and experiencethe first-year engineering classroom [5] [19] [20] [21] [22] [23] [24]. Computational thinkinginteracts with these existing factors.The participants that we discuss in detail in the Results and