explore each of these themes in the following sections: Ability to learn the material. The theme of “My ability to learn the material” was a concernfor the 90.9% of participants. This finding illustrates students’ learning styles and preferencesregarding the most effective way to engage and learn course material. It also highlights thechallenges associated of adjusting rapidly to a new learning modality. Confidence in Class. The theme of “Confidence in Class” was a concern for 75.8% ofparticipants. This finding helps to highlight students’ concern regarding their own self-efficacy tolearn course material in this new learning setting. It can be argued that a large part of student’soverall confidence in class originates from
for mentoring and to providefaculty training in optimizing mentoring relationships for mentors with their mentees at all levelsof their research careers. The Academy is based on the research mentoring curriculum, ”EnteringMentoring”, an evidence-based curriculum from the Center for the Improvement of MentoredExperiences in Research (CIMER) at the University of Wisconsin-Madison. Course topicsinclude aligning expectations, assessing understanding, promoting professional development,cultivating ethical behaviors, promoting mentee research self-efficacy, enhancing work-lifeintegration, and articulating a mentoring philosophy and action plan. 37Plans for Evaluation and ExpansionWe are currently designing a peer-to-peer mentoring certification
with new and innovative solutions[37]; iv) self-management and self-development, understood as the capacity to work autonomouslyin a self-motivated and self-controlled manner [36]; and v) systemic thinking, i.e. the ability torecognize how a system functions [36] to make decisions about their elements and interactions[38].However, is possible to synthesize 21st century skills and positive attitudes toward STEM asengagement, interest, and self-efficacy [39], into STEM skills such as i) critical thinking, ii)problem-solving, iii) research, iv) creativity, v) communication, and vi) collaboration [28]. TheseSTEM skills can be complemented by the competency of computational thinking, which is veryimportant for STEM learning [40] and involves some
Research Workshop has been provided by the Kern Family Foundation.Dr. Doug Melton and Dr. Meg West provided thoughtful feedback about the workshop development overmany years. Special thanks to all the participants who took time to take our survey and learn with us!References[1] L. O. Flowers, “Course-Based Undergraduate Research Experiences at HBCUs,” J. Educ. Soc. Policy, vol. 8, no. 1, p. 33, 2021, doi: 10.30845/jesp.v8n1p4.[2] A. Carpi, D. M. Ronan, H. M. Falconer, and N. H. Lents, “Cultivating minority scientists: Undergraduate research increases self-efficacy and career ambitions for underrepresented students in STEM,” J. Res. Sci. Teach., vol. 54, no. 2, pp. 169–194, Feb. 2017, doi: 10.1002/tea.21341.[3] M. Villarejo, A. E. L
strategies include using real-world contexts, and in the learningdesign of the study, students would be working on a real-world research project with real data.Zimmerman and Moylan [18] provide a cyclical phase model of self-regulation that maps theseconstructivist strategies to different phases in self-regulation, as shown in Figure 1. It presents acyclic feedback loop between the forethought phase, performance, and self-reflection phase. Figure 1. Cyclic Phase Model of Self-RegulationThe first phase, forethought is a preparation step for self-regulated learning. It involves taskanalysis through goal setting and strategic planning and Self-motivation through self-efficacy,outcome expectations, task interest, and goal
. The goal is to provide insights that will help framefuture studies of students who do not value engaging with or belonging in their engineeringprograms to the detriment of their professional formation as engineers.Literature ReviewSense of Belonging and Persistence At a fundamental level, humans have the desire to belong. The desire for interpersonalrelationships has an additive effect on that desire. Previous research on students’ academicsuccess has primarily focused on the interaction between students’ sense of belonging,motivation, self-efficacy, and perception of curriculum [1], [2]. On the college campus andwithin STEM classrooms, several characteristics are known to commonly exhibit a positiveeffect on students’ sense of belonging
Zamboanga, Ross A Thompson, and Larissa A Schmersal. Extra credit as incentive for voluntary research participation. Teaching of Psychology, 32(3):150–153, 2005.[16] Tracy B Henley and Indy L Savage. Who earns extra credit these days? The Journal of psychology, 128(3):311–314, 1994.[17] Anya Goldina, Peter Licona, and Patricia Likos Ricci. Creating extra credit assignments that challenge, inspire, and empower students. HAPS Educator, 2020.[18] Jennifer Barrows, Samantha Dunn, and Carrie A Lloyd. Anxiety, self-efficacy, and college exam grades. Universal Journal of Educational Research, 1(3):204–208, 2013.[19] Gary Stark, Stacy Boyer-Davis, and Melissa J Knott. Extra credit and perceived student academic stress. Journal of
. Theobald et al., (2020). Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math, Proc. Natl. Acad. Sci. U. S. A., 117(12), pp. 6476–6483, Mar. 2020, doi: 0.1073/pnas.1916903117.[7] S. Freeman et al., (2014). Active learning increases student performance in science, engineering, and mathematics, Proc. Natl. Acad. Sci. U. S. A., 111(23), pp. 8410–8415, Jun. 2014, doi: 10.1073/pnas.1319030111.[8] C. J. Ballen, C. Wieman, S. Salehi, J. B. Searle, and K. R. Zamudio, (2017). Enhancing Diversity in Undergraduate Science: Self-Efficacy Drives Performance Gains with Active Learning. CBE Life Sci. Educ., 16(4), Winter 2017, doi: 10.1187/cbe.16-12-0344.[9] Chowrira
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
debugging has also been tested, finding relationships betweensystematic debugging exposure and students' self-efficacy and effective debugging ([22], [23]).Debugging and students’ performancePrevious research has established the complexity and multiple factors that influence studentsdebugging performance. To date, several studies have focused on how the program errormessage influences students’ skills and strategies to debug [24], the time novice students take todebug a problem by using counting error compilers [13], identifying how visual attention couldalso impact students debugging performances [25] and the type of high or lower achieversinfluence students’ strategies and performance on debugging [13], [26].Studies have shown that students spend
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. Her current research interests, publications, and presentations give attention to racial identity, science identity, science self- efficacy, metacognition, and STEM achievement of African American students. As a strong advocate for the participation of African American females in STEM, Dr. White continuously engages in discourse and research that will promote greater access to STEM-related opportunities and recognition of African American females. American c Society for Engineering Education, 2021 Faculty Perceptions of STEM Student and Faculty Experiences During the COVID-19 Pandemic: A Qualitative Study (WIP)Abstract The recent
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and Self-efficacy," Active Learning in Higher Education, vol. 16, no. 2, pp. 119-132, 2015.[13] M. Schwartz, "Open Book Exams (PDF)," Ryerson University, [Online]. Available: https://www.ryerson.ca/content/dam/learning-teaching/teaching- resources/assessment/open-book-exams.pdf. [Accessed 7 March 2021].[14] Western Illinois University, "Fast Facts," 2020. [Online]. Available: http://www.wiu.edu/about/docs/fastfacts.pdf. [Accessed 7 March 2021].[15] Registrar, Interviewee, WIU Math Minors 2017-2021. [Interview]. 1 March 2021.[16] Registrar, Interviewee, WIU Engineering Retention 2017-2021. [Interview]. 1 March 2021.[17] American Society for Engineering Education, Engineering by the Numbers: ASEE Retention and Time-to
perceptions of both the organization and the individual [61]. Researchestimates that a failure to empower employees in their work costs U.S. businesses up to $550billion annually [62]. The interaction between value incongruence and empowerment is criticalbecause it highlights a space where engineers might experience tensions that their engineeringeducation makes them ill-equipped to address [24] [38]. Notably, Chatman [63] postulates that aperson can successfully overcome potential adverse effects caused by person-organization valueincongruence—and even influence the organization’s values to be more like their own—if theyfeel empowered (i.e., perceive themselves as having self-efficacy and control) over the situation.We argue that these tensions
., and Lents, N.H. (2017). “Cultivating minorityscientists: undergraduate research increases self-efficacy and career ambitions forunderrepresented students in STEM.” J. Research in Science Teaching, 54(2), 169-194.18. Wao, H. O., Lee, R. S. & Borman, K. (2010). Climate for retention to graduation: Amixed methods investigation of student perceptions of Engineering departments and programs.Journal of Women and Minorities in Science and Engineering, 16, 293-318.19. Perrin, J., “Features of Engaging and Empowering Experiential Learning Programs forCollege Students,” Journal of University Teaching and Learning Practice, 11(2), 2014, article 2.https://ro.uow.edu.au/jutlp/vol11/iss2/2/.20. National Center for Education Statistics. (2019
., Charles, P., Orthner, D., & Cooley, V. (2011). Teacher Perspectives on Career-Relevant Curriculum in Middle School. RMLE Online, 34(5), 1–9.https://doi.org/10.1080/19404476.2011.11462078[10] Elliott, J. W., Perkins, M., & Thevenin, M. K. (2018). Measuring Undergraduate Students’Construction Education Domain Self-Efficacy, Motivation, and Planned Behavior: Validation ofa Concise Survey Instrument. International Journal of Construction Education and Research,14(4), 235–256. https://doi.org/10.1080/15578771.2017.1316802[11] Riojas, M., Lysecky, S., & Rozenblit, J. (2012). Educational Technologies for PrecollegeEngineering Education. IEEE Transactions on Learning Technologies, 5(1), 20–37.https://doi.org/10.1109/TLT.2011.16[12] Adams, L
Graduate Training Program on Teaching Self Efficacy,” Natl. Teach. Educ. J., vol. 4, no. 2, pp. 49–56, 2011.[15] F. Nasser-Abu Alhija and B. Fresko, “Graduate teaching assistants: how well do their students think they do?,” Assess. Eval. High. Educ., vol. 43, no. 6, pp. 943–954, 2018.[16] C. Graham and C. Essex, “Defining and ensuring academic rigor in online and on-campus courses: Instructor perspectives.,” in Annual Proceedings of Selected Research and Development [and] Practice Papers Presented at the National Convention of the Association for Educational Communications and Technology, 2001, pp. 330–337.[17] J. S. Boman, “Graduate student teaching development: Evaluating the effectiveness of training in
“Soft” Outcomes," presented at the 2006 Annual Conference & Exposition, Chicago, Illinois Jun 18-21, 2006. [Online]. Available: https://peer.asee.org/1400.[8] T. McClary, J. A. Zeiber, P. Sullivan, and S. Stochaj, "Using Multi-Disciplinary Design Challenges to Enhance Self-Efficacy within a Summer STEM Outreach Program " presented at the 2018 ASEE Gulf-Southwest Section Annual Conference The University of Texas at Austin Apr 4-6, 2018. [Online]. Available: https://peer.asee.org/31537.[9] M. Ellis, "Multi Disciplinary Teaching And Learning In A Senior Project Course," presented at the 2003 ASEE Annual Conference, Nashville, Tennessee Jun 22-25, 2003. [Online]. Available: https://peer.asee.org
the interviews over a three-day period in private conference rooms at the high schoolduring the participants’ regularly scheduled science or engineering courses. The teacher, amember of the research team, was aware of which students participated in the interviews,however, to protect participant confidentiality, we did not share any interview data with theteacher until after the semester had ended. Our interview protocol was developed with questionsto collect data about 1) students’ beliefs about the nature of intelligence (i.e., fixed versus growthmindset), 2) science self-efficacy, 3) career aspirations, 4) views on the gender gap in STEM,and 5) students’ beliefs about smartness. In this paper, we focus on the data collected from theportion
]. In addition, it has been shown that an Online PBL environment supports self-efficacy, a key elementfor students’ success in the online environment [12].According to (Kow, 2019) [7], the online PBL model is not different from the traditional classroommodel, only the environment changes. The PBL model employed for this course follows that by Peffers etal, 2007 [14] as shown in Figure 3. Figure 3: Project-Based Lesson Structure Model [14]3.0 Method 3The Project AssignmentThe team of three mechanical engineering students were given the project description below. The methodto be employed in executing the project included site visits, customer interviews, engineering
interplay of self-efficacy, learning goal orientation, and transformational leadership. Teaching and teacher education, 26(5), 1154-1161.Schӧn, D. A. (1983). The reflective practitioner: How professionals think in action. New York: Basic Books, Inc.Schӧn, D. A. (1987), Educating the Reflective Practioner: Toward a new design for teaching and learning in the profession. San Francisco: Jossey-BassTom, A. R. (1985). Inquiring into inquiry-oriented teacher education. Journal of Teacher Education, 36(5), 35-44.Valli, L. (1990). Moral approaches to reflective practice. Encouraging reflective practice in education: An analysis of issues and programs, 39-56. Teachers College PressValli, L. (1997). Listening to other voices: A
., & Tarule, J. (1986). Women’s Ways of Knowing: The Development of Self, Voice, and Mind. New York: Basic Books.11. Sprague, J., & Massoni, K. (2004). Student Evaluations and Gendered Expectations: What We Can’t Count Can Hurt Us. Sex Roles, 53(11-12), 779-793.12. Bailey, J. G. (1999). Academics’ Motivation and Self-Efficacy for Teaching and Research. Higher Education Research and Development, 18(3), 343-359.13. Schuster, J.H., & Finkelstein, M.J. (2006). The American Faculty: The Restructuring of Academic Work and Careers. Baltimore: Johns Hopkins University Press.14. Winslow, S. (2010). Gender Inequality and Time Allocations Among Academic Faculty. Gender & Society, 24(6), 769-793.15. Hart, J., & Cress, C. M
, 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