from consideringengineering as a major or choosing engineering as a career. Barriers/Retention ChallengesAccording to Bandura’s self-efficacy theory [33], a person’s belief about his/her ability tosuccessfully perform a task may be an important factor in the choice of certain behaviors oractivities. Wigfield and Eccles [34] built upon Bandura’s theory by arguing that in addition to self-efficacy, an individual’s choice of activities and behaviors will depend not only on how well theindividual believes that he/she will do on a given task, but will depend also on the value that theindividual places on the activity or behavior. According to this theory, expectancy and valuedirectly influence achievement choices. If
. A graduate of Purdue University (PhD 2016), his research focuses primarily on reducing barriers to the learning process in college students. Topics of interest include computer science pedagogy, collabo- rative learning in college students, and human-centered design. Of particular interest are the development and application of instructional practices that provide benefits secondary to learning (i.e., in addition to learning), such as those that facilitate in learners increased self-efficacy, increased retention/graduation rate, increased matriculation into the workforce, and/or development of professional identity.Dr. David M Whittinghill, Purdue University-Main Campus, West Lafayette (College of Engineering) Dr
concept guided thedevelopment of survey questions that measured students’ perceived abilities, in alignment withliterature on project-based teams in engineering educational contexts [24]. The inclusive team-based learning items used the same response scale as the General Self-efficacy Scale, given theevidence of high reliability and cross-cultural validity [25]. Additionally, the survey askedstudents to rate how easy or difficult the 16 inclusive team-based learning activities felt, giventhat team-based activities can involve intercultural exchange. This strategy was informed by theconcept of intercultural effort [19], which explains that measuring students’ intergroupengagement without also measuring the effort required to engage across such
of knowledge development, identification with thediscipline, and navigation through benchmarks. Each of these three dimensions becomes morecomplex over the course of an undergraduate career, as the knowledge to which engineeringstudents are held accountable becomes more aligned with ill-structured workplace problems [10]and identity formation becomes a “double-sided” process requiring both self-efficacy and beingrecognized by others as belonging to the engineering community [9]. Grounded in this multi-dimensional perspective on the undergraduate engineering trajectory, we examined the influenceof the capstone project not only on traditional engineering expertise but also on the waysstudents were identifying with the discipline and navigating
emphasizes are the time the band wants something to occur and the speed thecamera must be recording at. This spreadsheet is included in the guides paired with “The OneMoment” music video in order to connect real-world use of mathematics to the classroom. Thisshows students that math is applicable in different careers, including the music industry. Byallowing students to approach math in this way, self-efficacy for students who feel less confidentin their mathematical capabilities can increase [2]. The OK Go Sandbox educator and student guides that pair with “The One Moment”music video explore the topics of spreadsheets, analytical and theoretical data, frame rate, andslow motion. This guide is designed for students in grades 9-12 and covers
. R. Lee, "Effects of an examiner’s positive and negative feedback on self- assessment of skill performance, emotional response, and self-efficacy in Korea: a quasi- experimental study," BMC medical education, vol. 19, no. 1, p. 142, 2019.[9] Wikipedia contributors, "Pedagogical agent," Wikipedia, The Free Encyclopedia, 21 December 2019. [Online]. Available: https://en.wikipedia.org/wiki/Pedagogical_agent. [Accessed 2 January 2020].[10] Wikipedia contributors, "Chatbot," Wikipedia, The Free Encyclopedia, 26 December 2019. [Online]. Available: https://en.wikipedia.org/wiki/Chatbot. [Accessed 2 January 2020].[11] J. Weizenbaum and others, "ELIZA---a computer program for the study of natural language communication between
theirrelationship with academic performance. Second, longitudinal studies to identify the relationshipand impact of employed study strategies on the students' academic performance over the courseof their engineering degree should be conducted. Finally, the researchers may includemotivational factors to discuss the relationship between the students' study strategies and theiracademic performance.AcknowledgmentThe authors would like to thank Dr. Heidi Diefes-Dux and Dr. Morgan Hynes for access tostudent data.References[1] M. C. W. Yip, “Learning strategies and self-efficacy as predictors of academic performance: a preliminary study,” Qual. High. Educ., vol. 18, no. 1, pp. 23–34, 2012, doi: 10.1080/13538322.2012.667263.[2] N. Rosenberg and R. R. Nelson
are cognitive engagement and self-efficacy. Thus,the learning environment was based on authenticity, inquiry and collaboration. Flight simulationsoftware was used to engage students in a real word scenario. Flight data was collected by thestudents, processed, analyzed and interpreted by the students. Teams of two students while flyingtheir own missions were provided the opportunity to discuss their data analysis. Next, studentswere engaged in a discussion about the data analysis and interpretation. The math concepts studiedduring the camp were the Pythagorean theorem and similar triangles, while the science conceptinvestigated was the standard atmosphere. The mission associated with the math concepts was alanding approach in a Cessna 172
, orSES. In the third and final pass, we focused on reading for details related to themes identified inthe initial analysis, including discussion of the conceptual framework and patterns in types of out-of-class involvement.Findings and DiscussionProfessional Development Outcomes Associated with Student Organization Involvement.Researchers have defined and examined student outcomes impacted by out-of-class experiencesin a variety of ways. In the realm of professional development, these outcomes range fromintellectual and competency development to value constructs (e.g., ethics, professionalresponsibility, sustainability affect) and constructs of self-efficacy and professional identity(including sense of belonging, work self-efficacy, and
confidence intechnical expertise was a prerequisite to any engineering leadership engagement. For engineers,this often meant problem-solving skills or expertise in particular content matter. Students whostepped into engineering leadership roles often reported self-efficacy in their ability to navigatethe technical challenges due to either previous experience or extensive previous classwork.Moreover, the relative expertise of these students seemed to be recognized by their peers. Whatwas striking however, was the frequency with which participants reported feeling inadequate tostep into roles of increased responsibility, when technical skills were essential. Given thiscommon hesitation, it is not surprising that so many engineering students did not
Paper ID #31756The Role of Teaching Assistants and Faculty in Student EngagementDr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on engagement, success, and persistence and on effective methods for teaching global issues such as those pertaining to sustainability. American c Society for Engineering Education, 2020
punishment avoidance.SDT also postulates that individuals will adopt more internalized/autonomous forms ofmotivations, resulting in more optimal learning outcomes, when three basic psychological needsare satisfied: autonomy, a sense of choice and control; relatedness, a sense of positive andsupportive connections to others; and competence, a sense of mastery and self-efficacy [18].In a real-world setting, individuals express multiple forms of motivation to varying degrees inany given activity, instead of appearing as either autonomous/internalized orcontrolled/externalized. Examining the learner’s motivation across the whole continuum ofamotivation, external regulation, identified regulation and intrinsic motivation, i.e.,characterizing it into a
: ConflictingFeminisms and Self-determination, and The Nature of Engineering: Authoring DisciplinaryNarratives. Within the “Vulnerability and Strength Regarding Math” narrative, the Emiliaexercised her agency by pursuing engineering as a career choice, despite her low mathematics self-efficacy, discouraging conversations with family members, and rigor culture that suggested thatstudents must excel in mathematics to be a good engineer. In addition to rejecting the “culturalmotif” associated with engineering, the student also made a conscious effort to network withprofessional engineers to understand what aspects of engineering required math. The studentdemonstrated their agency by asking questions and taking action to resist the dominant narrativeof what it
capstone design. In themeantime PBO has proven beneficial for this particular capstone design project. Students willbegin delivering data to the farmers for consideration this season.References[1] Zimmerman, Barry J. "Self-regulated learning and academic achievement: Anoverview." Educational psychologist 25.1 (1990): 3-17.[2] Pintrich, Paul R., and Elisabeth V. De Groot. "Motivational and self-regulated learningcomponents of classroom academic performance." Journal of educational psychology 82.1(1990): 33.[3] Schunk, Dale H. "Goal setting and self-efficacy during self-regulated learning." Educationalpsychologist 25.1 (1990): 71-86.[4] Wilkerson, S. A., A. D. Gadsden, and S. A. Gadsden. "An unmanned aerial system for thedetection of crops with
learning was takingplace, or at the end of the lecture/lab session, students were prompted to reflect on each lecture oractivity they were exposed to. Their feedback helped us to revise our scheduling and plan for thenext lecture/hands-on activity and make changes as necessary. To get a better understanding onthe students’ expectations and their learning goals, we asked the students about their favoritesubject areas and academic as well as career goals.Program’s Assessment (provided by the program’s Administration)All faculty submit an assessment (self-efficacy, self-reflection, creativity and innovation,collaboration/teamwork, problem solving/critical thinking, etc.) on every student on their roster.Students complete a faculty evaluation and
learningexercises such as peer-to-peer learning, solving procedural problems, outlining solutions to open-ended problems that are ill-defined, may need assumptions and additional data from reliablesources. Because of the displacement of class time due to active learning, some content on atopic is pushed to out-of-class time to foster self-efficacy and life-long learning skills. Thegraded assessment includes weekly automatically graded online quizzes, two main projects,special assignments such as open-ended problems, four tests, and a final examination. Non-graded assignments include multiple-choice questions and selected problems from the textbook.The experimental group MBLG is a modified version of the BLG. The MBLG is different onlyin the following three
associated with metacognitive reflection. Confidence relates tothe “I Can” factor in Wankat and Oreovicz’s [6] problem-solving model. Woods et al. [7] [8] alsoinclude being positive, motivated, and confident among the characteristics of successful problemsolvers, as do other educators with an interest in improving the confidence (or self-efficacy) ofengineering problem solvers [9] [10]. Lester et al. [11] suggested that “students’ success or failure insolving a problem often is as much a matter of self-confidence, motivation, perseverance, and manyother noncognitive traits, as the mathematical knowledge they possess” (p. 75).We incorporated the metacognitive and affective factors of reflection and confidence into a requiredchemical engineering
., & Leifer, L. J. A1 (2005). Engineering design thinking, teaching, and 1613 learning. Journal of engineering education, 94(1), 103-120. Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison A2 433 of students and expert practitioners. Journal of engineering education, 96(4), 359-379. Carberry, A. R., Lee, H. S., & Ohland, M. W. (2010). Measuring A3 engineering design self‐efficacy. Journal of Engineering 192 Education, 99(1), 71-79
: Gender differences and interactive effects of students’ motivation, goals, and self-efficacy on performance,” in Proceedings of the 2016 ACM Conference on International Computing Education Research, ser. ICER ’16. New York, NY, USA: Association for Computing Machinery, 2016, p. 211–220. [Online]. Available: https://doi.org/10.1145/2960310.2960329 [2] B. C. Wilson and S. Shrock, “Contributing to success in an introductory computer science course: A study of twelve factors,” SIGCSE Bull., vol. 33, no. 1, p. 184–188, Feb. 2001. [Online]. Available: https://doi.org/10.1145/366413.364581 [3] D. Zingaro, M. Craig, L. Porter, B. A. Becker, Y. Cao, P. Conrad, D. Cukierman, A. Hellas, D. Loksa, and N. Thota, “Achievement goals
our grade stepped up to the challenges andencouraged each other. A few of the students chatted about attending a college similar toNortheastern University!”.Students provided their own feedback and upon subsequent analysis, several themes emergedincluding self-efficacy, fun, friendship and an awareness that engineering benefits society:“I liked the wind turbine activity because I felt like a scientist.”“I liked the windmill because it was a really cool experiment.”“I liked making the windmills with my friends.”“I liked the windmills because it makes energy for cities and countries.”Discussion and ConclusionsAlthough Northeastern University’s Center for STEM Education has been offering STEM fieldtrips for the past 10 years at no cost to
to understand how to promotemetacognitive thinking within engineering pedagogy. In future research effort, wewill also explore how to incorporate generative learning activities (e.g.self-explanation, mapping and peer teaching (Fiorella & Mayer, 2016) withinengineering to promote critical thinking and meta-cognitive thinking in engineeringstudent.Lastly, further research is needed to explore why students exude confidence inresponses that were not based on sound reasoning. It will be interesting to know howsuch self-confidence is associated with self-efficacy, ability to use constructivefeedback and to adopt strategic learning skills.ReferencesBormanaki, H.B., Y.J. Khoshhal, and Research. The role of equilibration in Piaget’s theory
Criteria & Supporting Documents.https://www.abet.org/accreditation/accreditation-criteria/ (accessed on 12/01/2019)[2] Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R., & Kennedy, M. S. (2016).Measuring undergraduate students' engineering self‐efficacy: A validation study. Journal ofEngineering Education, 105(2), 366-395.[3] Newberry, B., Austin, K., Lawson, W., Gorsuch, G., & Darwin, T. (2011). Acclimatinginternational graduate students to professional engineering ethics. Science and engineeringethics, 17(1), 171-194.[4] Li, H., Jin, K., & Zhang, Y. (2018). A Curriculum Innovation Framework to IntegrateManufacturing related Materials and Quality Control Standards into Different Level EngineeringEducation. The 2018 Annual
, “Teacher and Student Attitudes Toward Teacher Feedback,” RELC J., vol. 38, no. 1, pp. 38–52, 2007.[4] E. Ekholm, S. Zumbrunn, and S. Conklin, “The relation of college student self-efficacy toward writing and writing self-regulation aptitude: writing feedback perceptions as a mediating variable,” Teach. High. Educ., vol. 20, no. 2, pp. 197–207, 2015.[5] R. Yoshida, “Teachers’ choice and learners’ preference of corrective feedback types,” Lang. Aware., vol. 17, no. 1, pp. 78–93, 2008.[6] O. H. A. Mahfoodh and A. Pandian, “A Qualitative Case Study of EFL Students’ Affective Reactions to and Perceptions of Their Teachers’ Written Feedback,” English Lang. Teach., vol. 4, no. 3, pp. 14–25, 2011.[7] T. Ryan and M
capital in rural development, networking and decision-making in rural areas," Journal of Alpine Research, vol. 95, no. 4, pp. 43-56, 2007.[27] C. C. Chen, P. G. Greene, and A. Crick, "Does entrepreneurial self-efficacy distinguish entrepreneurs from managers?," Journal of Business Venturing vol. 13, pp. 295-316, 1998.[28] J. Cheng, "Intrapreneurship and exopreneurship in manufacturing firms: An empirical study of performance implications," Journal of Enterprising Culture, vol. 9, no. 2, pp. 153-171, 2001.[29] E. J. Douglas and J. R. Fitzsimmons, "Intrapreneurial intentions vs.entrepreneurial intentions: Distinct constructs with different antecedents," Small Business Economics, vol. 41, no. 1
research provides insight into this issue through partnerships between PSTs andUESs and faculty. In the Paired Peer Mentors project (Fogg-Rogers et al., 2017), pairs of PSTsand engineering students presented engineering design challenges to primary school children.Both groups of college students showed sizable gains in teaching engineering self-efficacy andsubject knowledge confidence after the project. In a study exploring a similar partnership model,PSTs and engineering students collaboratively planned robotics activities for early childhoodstudents using LEGO WeDo robots (Bers & Portsmore, 2005). PSTs used robotics to helpelementary students explore concepts in math and science supported by engineering studentpeers. Although these studies
scorestend to increase with increasing frequency of participation. Nevertheless, we see no statisticallysignificant differences between the regular, super, and selective groups for most of the outcomes,suggesting that the highly active or officer level involvement isn’t related to gains in outcomescompared to more moderate (regular, non-officer). The only outcome for which this is not true isGPA, which is doesn’t change significantly between different clusters of participants.IntroductionIt is well established that participation in co-curricular experiences in college has significantimpact on student outcomes.[1], [2] It has been shown that co-curricular activities that are relatedto the academic endeavor are positively related to self-efficacy in
[school anonymized for publication] change as a result of your internship? How will yourexperiences this summer shape your approach to next quarter and beyond?” at the end of their internship.This mixed-methods approach helps us track students’ motivations, perspectives, and plans for action andsituates their internship as an integral part of their CSE undergraduate education.B. Background 1) The role of motivation in learning: Motivation is critical to learning and leads one to pursueand continue to pursue an objective [1, Part II]. Importantly, motivation is believed to be an emergentphenomenon, meaning it can develop over time and be updated based on new experiences. As described in[2], self-efficacy theory [3] and situational interest
dramatically by the end of the semester, closing the gap in spatialability initially observed between women and men at the start of the semester.Students who did not attend the workshop also showed significant increases in their test scoreshowever. This result indicates that completing the graphics course yielded similar improvementsin spatial skills as completing the workshop. The question then arises, what advantage does theworkshop provide over the engineering graphics course? If significant improvements in spatialability can be made after a 4-week workshop session, in comparison to a 14-week graphics course,that could have a positive outcome in student self-efficacy and potentially stronger learningoutcomes in the graphics course overall. This
have designed variousinstruments to collect data throughout this project, as elucidated below. Female middle school andhigh school students’ intention to pursue STEM careers is being assessed using Social CognitiveCareer Theory. The model of Social Cognitive Career Theory accounts for the development andinfluence of students’ self-efficacy, expected outcomes, and interests in STEM professions.Parents respond to surveys before this project and after they attend the “Family STEM Night.”Success will be indicated by positive changes in parents’ conceptions toward STEM across time.According to the feedback we have collected, most of the participating female students findrobotics interesting, and most the participating female students respond that
Paper ID #29358Enhancing Workforce Readiness of Engineering TechniciansProf. Christine Michelle Delahanty, Bucks County Community College I am the Area Coordinator of Science and Engineering, the Program Coordinator for Engineering and Engineering Technology, and Associate Professor of Engineering and Physics at Bucks County Commu- nity College (Bucks). I hold an Ed. D degree from Drexel University in Educational Leadership and Management, with a concentration in creativity and innovation. My dissertation is entitled: Creative Self- Efficacy of Undergraduate Women Engineering Majors: A Mixed Methods Study. I hold B.S