implemented once at two different schools.In this study, we focused on how student participation in the STEM+C projects helpedstudents develop CT and the impact of students’ STEM+C experience on their attitudestoward STEM learning. A student attitude toward STEM survey [20] was given at thebeginning and end of the eight-week program. The development of the STEM survey waspartially supported by the National Science Foundation and was well validated [21]. TheSTEM survey has three subject categories, Math, Science, and Engineering andTechnology (engineering and technology were grouped together into one category) andwas intended to examine students’ attitudes as well as self-efficacy related to STEM.Students were videotaped working in small groups for
a result of receiving the TPT, and if not,faculty advisors have long been found to support satisfying what barriers do they report?degree programs, student self-efficacy, progress toward 4. Did BME students engage in any career developmentgoals, and future career success [7-9]. Previous research behaviors as a result of receiving the TPT? Proceedings of the 2018 ASEE Gulf-Southwest Section Annual Conference The University of Texas at Austin April 4-6, 20182. Materials and Methods students would receive the pre-survey, TPT, and post-2.1 Fall 2016 Study
processmethodology that can provide a cost effective and the timely development of new products thatare particularly used in the five areas listed above. The entrepreneurial spirit is not new in theUnited States but the engineering student must be continually fortified with the understandingthat he/she can be the strongest agent in keeping their full employment for a lifetime inproductive engineering. By being the “boss” of a product development, even if themanufacturing of that product is done offshore, the engineering technology student will beproductive and enjoy a self-efficacy as a result of their entrepreneurship or entrepreneurship thatis virtually immune to globalization efforts by even the same management that employs them.TransportationThe
in Physic (Action Research Thesis). Retrieved from http://modeling.asu.edu/modeling/Mindset&Physics-McT,L,F.pdf.[16] McClary, T., Zeiber, J. A., Sullivan, P., & Stochaj, S. (2018). Using Multi-Disciplinary Design Challenges to Enhance Self-Efficacy within a Summer STEM Outreach Program. Proceedings of the 2018 ASEE Gulf-Southwest Section Annual Conference.[17] National Research Council. (2009). Learning science in informal environments: People, places, and pursuits (P. Bell, B. Lewenstein, A. W. Shouse, & M A. Feder, Eds.). Washington, DC: National Academies Press.[18] Dweck, C. S., Walton, G. M., & Cohen, G. L. (2014). Academic Tenacity: Mindsets and Skills that Promote Long-Term Learning
, autonomy, andrelatedness. In other words, students’ individual motivation is constrained by the normsof the classroom (Goldin et al. 2016). When students’ basic psychological needs aresupported by the classroom structure, they are more likely to internalize their motivationto learn (Niemec & Ryan 2009). Many prior studies in education, ranging fromelementary school to college, have shown the importance of promoting autonomousregulation in the classroom (Deci et al. 1991). In general, more autonomous forms ofmotivation have been linked to increased interest, excitement, and confidence. This hasbeen shown to lead to higher performance and persistence, even among students with thesame level of self-efficacy (Ryan & Deci 2000).ContextTo study
of an empathy index rooted in social cognitive neuroscience and social justice,” Soc. Work Res., vol. 35, no. 2, pp. 83–93, 2011.[12] A. Bandura, Self-efficacy: The exercise of control. New York: W.H. Freeman and Company, 1997.[13] D. Verdín, A. Godwin, G. Sonnert, and P. M. Sadler, “Understanding how First- Generation College Students ’ Out-of-School Experiences , Physics and STEM Identities Relate to Engineering Possible Selves and Certainty of Career Path,” in IEEE Frontiers in Education, 2018.[14] D. Verdín and A. Godwin, “The Relationship Engineering Identity and Belongingness on Certainty of Engineering Major for First-Generation College Students,” in Paper presented at the 2019 annual
influence the persistence or resilience of STEM students to stay focused and engaged in pursuitof their personal academic goals.Of particular importance to Packard’s STEM mentorship program development are three factorsshe labels “capacity”, “interest” and “belongingness.” Capacity refers to a student’s ability to learnand demonstrate requisite performance. Mentors can help students improve their personal capacitythrough various practice opportunities and timely, effective feedback. More importantly, suchmentoring can improve a student’s self-efficacy of confidence which Packard indicates is often abetter predictor of future performance than demonstrated capability. A student’s interest in STEMcan be expected to wax and wane as they pursue their
year of UUR, a survey instrument was developed which assessed eachstudent’s interest and self-efficacy in STEM 23. The assessment was influenced by related STEMassessments, such as the STEM semantics survey and the STEM Career interest Questionnaire 20.The assessment asked questions regarding students understanding of STEM principles, interest inSTEM topics, careers, and fields of study. According to Wright, in that first year of study,quantitative data received from the surveys did not reveal that the ROV activity had made anystatistically significant impact on student interest in STEM areas. Researchers still believed,however, based on observations, and on teacher, student, and administrative feedback, that theROV program had potential to
Self-Efficacy Scale). Although the researchers believe the survey could beimproved, and will further work on the survey over the course of this next year to do so,because the initial implementation of the ROV competition did not have a research focusor agenda, the survey was not of primary concern. However, with the rapid growth andpopularity of the ROV effort within the state (in regards to competition participants, andeducational stake holder support) the researchers believe there is a need to aggregate andanalyze data pertinent to activity and curriculum. Consequently, that is why theresearchers decided to use the TESS that related studies have suggested as providingsome reliability and validity. Graph 1.1 documents the relative growth of
suggesting a chalkboard wall where writingprompts could be displayed and student responses recorded. The second project was acomposting initiative in the planning stages for a class focused on sustainability lead by aprofessor also in engineering. The composting idea was also embraced, as the compostgenerated by the project could be used to fertilize plantings in the engagement space.Methodology:Our effort for this project consists of two main goals: Goal 1: To encourage sustainable design for community improvement in engineeringdesign and civic and community engagement. Goal 2: To promote interdisciplinary collaboration, self-efficacy and leadership whileembracing community identity.Each of these goals are in line with new ABET criteria
Conference and Exposition, Indianapolis, Indiana. 4. Todd, R.H., Sorensen, C.D., & Magleby, S.P. (1993). Designing a senior capstone course to satisfy industrial customers. Journal of Engineering Education, 82(2), 92-100.Dunlap, J.C. (2005). Problem- based learning and self-efficacy: How a capstone course prepares students for a profession Educational Technology Research and Development, 53(1): 65-83 5. Todd, R.H, Magleby S.P., Sorensen, C.D, Swan, B.R., Anthony, D.K. (1995) A Survey of Capstone Engineering Courses Journal of Engineering Education, 84(2): 165-174 6. Griffin, P.M, Griffin, S.O., Llewellyn, D.C. (2004) The Impact of Group Size and Project Duration on Capstone Design Journal of
Capstone Design: Inductively Enhanced”, Proceedings of the ASEE 2011 Annual Conference, 22.1562.1 - 22.1562.112. Elmer Grubbs and Martha Ostheimer (2001), “ Real World Capstone Design Course”, Proceedings of the ASEE 2001 Annual Conference, 6.835.1 – 6.835.73. Joanna Dulap (2005), “Problem-Based Learning and Self-Efficacy: How a Capstone Course Prepares Students for a Profession” - Educational Technology Research and Development, March 2005, Vol. 53, Issue 1, pp 65-83.4. Randolph Jones (2000), “Design and implementation of computer games: a capstone course for undergraduate computer science education, Proceedings of the thirty-first SIGCSE technical symposium on Computer science education, Pages 260-264, ACM New York
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
dimensions, different researchers focused on different aspects of online learning.For example, some researchers have studied the effectiveness of online learning byfocusing on its implications on performance in work place. Lima et al. studied thedeterminants of effective online training to reveal how these variables affect learningperformance and transfer performance, two important elements of training effectivenessin the workplace. Their study shows that effective online education (OE) systems needease of interaction, computer self-efficacy, and efficient communication in the virtualperspective as well as institutional factors such as support of seniors and continuouslearning culture1.The question of how to assess the effectiveness of online
common responses tended to focusaround two main themes: student self-efficacy in the skills necessary to work in these fields andstudent discovery of the creativity associated with these fields. Some of the representativecomments include:• Yes, because of the opportunity to be creative and to create self-confidence.• Yes, because you can awaken in them curiosity and interest in constructing and manufacturing new things.• It awakens their interest for the creation of new things and satisfaction of achieving them; it is gratifying.• I believe that yes, already out children many times do not believe that they are able to be these things; however, with these games, they can see their creations and believe it is simpler than they
found to increase ormaintain students’ confidence and interest in STEM subjects and sense of empowerment.13-16Researchers have noted, however, that that sustaining this interest beyond the observed activityis critical.13 In a long-term study, Tyler-Wood et al. found that even younger girls (4th and 5thgraders) in an ongoing afterschool science program with female high school students as mentorsshowed stronger self-efficacy in STEM fields well into high school and college.17 More importantly, the study may reflect that when engineering and technology arepresented as gender neutral or even as feminine, girls are free to explore engineering withoutgrappling with the traditional gender stereotypes associated with engineering or
suggested that people rarely do truly creative work in an area unless they really love what they are doing and focus on the work rather than the potential rewards.5. Personality. Numerous research investigations have supported the importance of certain personality attributes for creative functioning. These attributes include, but are not limited to, willingness to overcome obstacles, willingness to take sensible risks, willingness to tolerate ambiguity, and self-efficacy. In particular, buying low and selling high typically means defying the crowd, so that one has to be willing to stand up to conventions if one wants to think and act in creative ways. Often creative people seek opposition; that is, they decide to think in ways that
engineering principals that must be learned. What’s more? You the Instructorcan not only entertain and enliven the class-room experience for the student but also beentertained and enlivened by the variety of news items that frequently abound withvignettes such as those noted in this paper. In both instances the self efficacy of thepractitioner (the student as well as the Instructor) is increased. Perhaps the qualatativeresults of this pedagogy can be measured by the absence of that refrain: “Where am Igoing to use this information again?”This pedagogy has an even more subtle result. Assuming that the student is requested bythe Instructor to find one or two similar CSIs and brings them to class; the student isforced to peruse the local newspapers
AC 2012-3771: DEVELOPING A SMALL-FOOTPRINT BIOENGINEER-ING PROGRAMDr. Alisha L Sarang-Sieminski, Franklin W. Olin College of Engineering Alisha Sarang-Sieminski is an Assistant Professor of bioengineering at Franklin W. Olin College of En- gineering. Her research interests include how cells respond to and influence chemical and mechanical aspects of their surroundings and how people respond to and influence the schemas and power dynamics in their surroundings.Prof. Debbie Chachra, Franklin W. Olin College of Engineering Debbie Chachra is an Associate Professor of materials science at the Franklin W. Olin College of Engi- neering. Her engineering education research currently focuses on self-efficacy in first-year
, “Relationships between Metacognition, Self- efficacy and Self-regulation in Learning,” ECPS - Educational, Cultural and Psychological Studies, no. 7, pp. 115–141, Jun. 2013[16]. Komarudin, Marji, E. Sutadji, and Widiyanti, “Increase the problem solving ability through improved prior knowledge,” Journal of Physics: Conference Series, vol. 1700, no. 1, p. 012043, Dec. 2020[17]. M. C. Whatley and A. D. Castel, “The role of metacognition and schematic support in younger and older adults’ episodic memory,” Memory & Cognition, Mar. 2021[18]. R. DeCaro and A. K. Thomas, “How attributes and cues made accessible through monitoring affect self-regulated learning in older and younger adults,” Journal of
-academic outcomes (e.g., self-efficacy,learning outcomes). Moreover, 9 articles exclusively examined student experiences within andbeyond the classroom. This research line predominantly emphasized students—both theiroutcomes and experiences, with only 2 articles addressing faculty members’ experiences inteaching.Comparatively less emphasized than student-centered studies, out of the 21 qualifying articles, 5addressed culturally relevant curricular content and/or pedagogies and one article coveredculturally relevant co-curricular programs and/or practices. Mirroring Garcia et al.’s [8] study, asmaller number of studies focused on leadership and decision-making (n = 6) and externalfactors (n = 2). Table 2 provides a breakdown of the frequencies for
S. Bjorkland. 2003. “Assessing readiness for self-directed learning.” Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition, Session 1330.x Williamson, S. N. 2007. “Development of a self-rating scale of self-directed learning.” Nurse Researcher, 14(2):66–83. Fisher, M., King J, and Tague, G. 2001. “Development of a self- directed learning readiness scale for nursing education.” Nurse Educator Today 21, 516– 525xi Monoi, Shinichi, Nancy O’Hanlon, and Karen R. Diaz 2005. “Online Searching Skills: Devel- opment of an Inventory to Assess Self-Efficacy” Journal of Academic Librarianship, 31(2), 98–105
generally characterize thedevelopment of self-efficacy as a mediator to career interests and goals. However, self-efficacyis constructed to examine highly task-specific self-perceptions, usually on the short-term. Wewere interested in implementing a macro-level framework that would allow us to assess howstudents view themselves over a long period of time, in a more global context. Our scienceidentity framework encapsulates the dimensions of recognition, interest, performance, andcompetence.29 As illustrated in Figure 1, recognition refers to perceived recognition by others asbeing a good science student while interest addresses a desire and/or curiosity to think about andunderstand science. Measures of performance refer to a belief in ability to
: Investing in teachers. Educational Technology, 1989,29(3), 39-44. 5. Bureau of Labor Statistics http://www.bls.gov/oco/ocos027.htm 6. C. Czerniak, .& M. Schriver, An examination of preservice science teachers' beliefs and behaviors as related to self-efficacy. Journal of Science Teacher Education, 1994, Volume 5, Number 3, 77-86. 7. N. Fisher, K. Gerdes., T. Logue, L. Smith & I Zimmerman, Improving students' knowledge and attitudes of science through use of hands-on activities. (ERIC Document Reproduction Service No. ED 436 352).1998 8. J. Harvey, & S. Purnell, S., Technology and teacher professional development. Report Prepared for the Office of Educational Technology, U.S. Department
college Page 5.121.1planned to major in engineering and only 1 percent planned to enter technical fields (comparedto 11.8 and 5.4 percent of men, respectively) (National research Council, 1994). Some writershave begun to argue that science today is so antagonistic to women that it must be radicallychanged before women can comfortably participate in it [3].Most studies suggest that environmental and social influences are responsible for thisunderrepresentation of women. Environmental factors including masculinity and femininity,education, self-efficacy, female role models, and perceptions of engineering are considered to bethe major factors.A two
confident with the subject matter outside theclassroom and were able to apply it in “everyday” situations. Student A recalled tearing a tendonin her foot during the summer after the study abroad class and going to the doctor’s office. Sheelaborated that: “I could visualize how my foot was twisting when I tore the tendon. I made the podiatrist go up to the board to explain how my tendon was formed. It was just nice to talk to the doctor as a student in his practice.”This student was particularly shy and this interaction showed a change in her confidence with thesubject matter. During the study abroad class, this student had trouble taking a leadership rolewhen playing the “expert.” Changes in self efficacy relative to the course
context of discussion forums (Table 1). Complete citations for theinstruments, and studies of their application, are provided in Appendix I. Page 24.896.2Table 1. Instruments investigated.Name ReferenceAcademic Confidence Scale (ACS) (Sander & Sanders, 2003; Bandura, 2001)Academic Self Efficacy Scale (ASES) (Elias & Loomis, 2000; Lent et al., 1997; 1986)Motivated Strategies for Learning (Pintrich et al., 1991)Questionnaire (MSLQ)Academic Locus of Control (LOC) (Rotter, 1966; Trice, 1985)Patterns of Adaptive Learning
that lacks certainty students often fumble at whattheir next step is, using their own developing judgment and sense of self efficacy to moveforward.We hypothesize that both the breadth and frequency of iterative steps in the design process givestudents more learning moments to apply their model of the design process, helping to rectifymisconceptions and realign their mental model of their design process. The author is building onpreliminary observations of student design activity and learning in ME310 and a pilot study of aqualitative content analysis of student design documentation from past years.18 The basicpedagogical approach as evidenced by course assignments and milestones to teaching design inthe ME310 course is comparable to the
Education, 10,(2), 123-140.Sherin, M. G & van Es., E. A. (2009). Effects of video club participation on teachers' professional vision. Journal of Teacher Education, 60(1), 20-37Weilan, I., Rogers, M. P., Akerson, V., & Pongsanon, K. (2010). Proposing a video-based measure of preservice teachers' abilities to predict elementary students' scientific reasoning. Paper presented at the annual conference of the Association for Science Teacher Education.Yoon, S. Y., Evans, M. G., & Strobel, J. (2012). Development of the teaching engineering self-efficacy scale (TESS) for K-12 teachers. In Proceedings of the 119th American Society for Engineering Education Annual Conference and Exposition, San Antonio, TX