andincluded some that we wrote. It uses a 5-point Likert scale to measure agreement with avariety of statements, falling into several broad categories: • Societal role engineering (ex: I see engineering as addressing human needs.”) • Technical characterization of engineering (ex: “I see engineering as a career that uses lots of math.”) • Self-efficacy (ex: “I am good at technology,” or “I enjoy science.”) • Engineering education (ex: “Creative students should become engineers.”)Overall, the participants see engineering as a highly technical field offering great benefitsto humanity. They rated themselves as being proficient in pertinent technical areas, valuebalance within teams, and see teamwork as being commonplace in and
the USA,women represent only 19.7% of engineering graduates and 18.7% of computer sciencegraduates, lagging behind the 35.5% of women in all STEM fields [2]. The goal of this projectwas to understand student thinking about diversity and inclusion with the long-term aim ofimproving culture for females and under-represented groups. The engineering workforce andengineered products, infrastructure, and services can certainly benefit from designs created bydiverse teams. Prior researchers have linked diversity to increased creativity in teams andwork-groups [3, 4].Building an inclusive culture is challenging but very important. A negative campus climate canaffect students’ self-efficacy. A campus with a lack of diverse students can create a
report for this lab exercise was easy to S10: Lab report grading was reasonable. prepare by the deadline. Figure 12. Survey report of Category 2 statements. The number value above each bar indicates the actual count of students responded.Figure 13 shows the Likert distributions for statements S11–S16, which comprise Category 3. TheLikert distributions for the statements about learning self-efficacy are again strongly positive, with 12at least 55% indicating that they Agree or Strongly Agree with all statements. The mostdisagreement occurs for S16 about the lab exercise making the students excited to work withpumps, for which a sum of 16.5% of respondents Disagree or Strongly Disagree. In
] reported results from a quasi-experimental study that evaluated embedded ethics modules in a computer science course. Thisintervention included discussion, perspective-taking activities and stakeholder analysis aroundthe ethics of contact tracing in a public health context. These researchers reported an increase instudents’ level of interest and perceived self-efficacy in addressing ethical issues. Our inventionalso seeks to increase interest and perception regarding ethical issues, and using a similar quasi-experimental methodology, we can review the implications of our intervention on students’perceptions of ethical and professional responsibility. Furthermore, Hess et al. [ 27] usedqualitative methods to investigate empathetic perspective
learning and academic identity. CUREs provideauthentic learning experiences, raise the level of expectations for all students, and support thedevelopment of a community of learners – all critical for students who have been historicallyunderrepresented in STEM [11] [12] [13] [14]. These experiences support development of self-efficacy, interest and identity in STEM [12] [15], contribute to improved course outcomes [16],and generally result in higher retention and persistence for participating students [17].Place-Based Learning CommunityThe term “learning community” refers to a purposeful restructuring of curriculum to link two ormore courses from different disciplines to emphasize connections and provide coherence in thecurriculum [18]. They are a
-awareness category involves not only understanding your ownemotions, values, strengths and self-efficacy, but also recognizing personal bias and how torecognize the interconnection of thoughts and feelings and actions across diverse contexts.Competencies in social awareness address empathy and compassion for those from same anddifferent backgrounds and cultures, understanding social norms for constructive behaviors andsupporting the collective well-being. Relationship skills include the ability to establish, navigateand maintain healthy relationships across social and cultural norms; communicating clearly,actively listening and working collaboratively whenever possible. Curriculum from thisorientation honors and connects to lived experiences of
, "Engineering self-efficacy, interactions with faculty, and other forms of capital for underrepresented engineeringstudents", presented at 2015 IEEE Frontiers in Education Conference (FIE), El Paso, TX, USA,2015, doi: 10.1109/FIE.2015.7344119[23] J. Stets and P. Burke, "Identity Theory and Social Identity Theory", Social PsychologyQuarterly, vol. 63, no. 3, p. 224, 2000. Available: 10.2307/2695870.[24] R. Majors and J. Billson, Cool pose. New York: Simon & Schuster, 1993.[25] E. Battle and J. Rotter, "children's feelings of personal control as related to social class andethnic group1", Journal of Personality, vol. 31, no. 4, pp. 482-490, 1963. Available:10.1111/j.1467-6494.1963.tb01314.x [Accessed 1 February 2022].[26] J. Boaler and C. Dweck
, 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
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, July 21-26, 2017.[21] M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, "The Pascal Visual Object Classes (VOC) Challenge," International Journal of Computer Vision, vol. 88, no. 2, pp. 303-338, 2010.[22] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You Only Look Once: Unified, Real- Time Object Detection," presented at the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, June 27-30, 2016.[23] A. R. Srinivasa, R. Jha, T. Ozkan, and Z. Wang, "Virtual reality and its role in improving student knowledge, self-efficacy, and attitude in the materials testing
college instructors, 3rd ed. San Francisco, CA: Jossey-Bass, 2010.14. Thomas, J. W. (2000). A review of research on project-based learning. San Rafael, CA: Autodesk Foundation.15. Mills, J. E. and D.F. Treagust (2003). Engineering education, Is problem-based or project-based learning the answer” Australasian Journal of Engineering Education. Retrieved from http://www.aaee.com.au/journal/2003/mills_Treagust03.pdf on February 316. Hirshfield, L., Chachra, D., Experience is not mastery: unexpected interactions between project task choice and measures of academic confidence and self-efficacy in first-year engineering students, International Journal of Engineering Education, 35(3), 2019, pp.806-823.
/ngv:78746.[3] K. A. J. Mohr and E. S. Mohr, “Understanding Generation Z Students to Promote a Contemporary Learning Environment,” J. Empower. Teach. Excell., vol. 1, no. 1, pp. 84–94, 2017, doi: 10.15142/T3M05T.[4] H. Hyytinen, A. Toom, and L. Postareff, “Unraveling the complex relationship in critical thinking, approaches to learning and self-efficacy beliefs among first-year educational science students,” Learn. Individ. Differ., vol. 67, no. August, pp. 132–142, 2018, doi: 10.1016/j.lindif.2018.08.004.[5] S. K. Wang, H. Y. Hsu, T. C. Reeves, and D. C. Coster, “Professional development to enhance lecturers’ practices in using information and communication technologies (ICTs) as cognitive tools: Lessons
and its constructivist framework,” Educational Technology, Vol. 35, No. 5, 1995, pp.31-38.16. Silva, A., Bispo, A., Rodriguez, D. and Vasquez, F. (2018) "Problem-based learning: A proposal for structuring PBL and its implications for learning among students in an undergraduate management degree program", Revista de Gestão, Vol. 25, No. 2, 2018, pp. 160-177.17. James N. Warnock & M. Jean Mohammadi-Aragh (2016) Case study: use of problem-based learning to develop students' technical and professional skills, European Journal of Engineering Education, Vol. 41, No, 2, 2016, pp.142-153,18. Dunlap, J. (2005) “Problem-based learning and self-efficacy: How a capstone course prepares students for a profession
for learning among students in an undergraduate management degree program", Revista de Gestão, Vol. 25, No. 2, 2018, pp. 160-177.17. James N. Warnock & M. Jean Mohammadi-Aragh (2016) Case study: use of problem-based learning to develop students' technical and professional skills, European Journal of Engineering Education, Vol. 41, No, 2, 2016, pp.142-153,18. Dunlap, J. (2005) “Problem-based learning and self-efficacy: How a capstone course prepares students for a profession.” Education Technology Research and Development Vol. 53, No.1, 2005, pp. 65–83.19. Urbanic, R. (2011) “Developing design and management skills for senior industrial engineering students.” Journal of Learning Design, Vol. 4, No. 3, 2011
spatial skills for engineering students”. International Journal of Science Education. Vol 31(3), pp 459-80, Feb. 2009.[8] L. Van Den Einde, N. Delson, L. Cowan, “Sketching App to Teach Spatial Visualization Skills Suitable for Remote and In-Person Instruction”, Proceedings of INTED 2021, virtual conference, March 8-9, 2021.[9] N. Delson, L. Van Den Einde, E. Cowan, J. Tara “eGrove Education.” [Online] Available www.egrove.education.[10] J. Power, J. Buckley, and N. Seery. “Visualizing Success: Investigating the Relationship between Ability and Self-Efficacy in the Domain of Visual Processing”. 70th ASEE Engineering Design Graphics Division Midyear Conference, Embry-Riddle Aeronautical University, FL, January, 2016.[11
participated in our training programsboth before and after their participation in the RET program. As teachers were required to havebeen in a program only before the RET and not after, only a limited dataset from eight teachersqualified for this analyses. The STEBI instrument is comprised of two subscales, the personalscience teaching efficacy and science teaching outcome expectancy. Although the dataset issmall, teachers made a significant gain of 6% in their outcome expectancy (p<0.05). This is apromising result as some studies have shown that teachers’ perception on the outcomeexpectancy measure, or their ability to affect actual student outcomes, is often unchanged afterprofessional development.42-43 This suggests that assessing teachers’ self
constructive influences on attitudes and beliefs associatedwith academic integrity, self-efficacy for course material. Using this multi-faceted perspective,previously untapped gains for learning outcomes, participation, and retention can be harvestedand parameterized into best practices for digitally-enabled STEM learning.3.0 Selected Related WorksTrends of increasing enrollment, reduction in costs of PCs, and the success of CBA in otherdisciplines have been motivating recent research in CBA within Engineering [4-6]. For example,the authors’ Engineering-specific 120-seat Engineering-specific testing center, called Evaluationand Proficiency Center (EPC), supports assessment and enhanced remediation [7]. Conversely,the 80-seat Computer-Based Testing
use of concepts [14, 15]. Many studies report that such methods have reducedfailure rate in comparison to instruction methods that merely rely on traditional lectures for contentdelivery and classroom management [16]. A sizable literature indicates that student engagement in classrooms has strong correlation totheir academic and professional success [17-20]. Student engagement in engineering classroomsis a challenge for several reasons. These include lack of preparation, self-efficacy, perceivedability, socio-economic factors and less-effective course delivery methods [21-28]. Additionally,each of these can contribute to a sense of alienation that exacerbates disengagement. Engineeringcourses require continuous development of sophisticated
, Florida Gulf Coast University c American Society for Engineering Education, 2018 Paper ID #21712Dr. Kunberger is an Associate Professor in the Department of Environmental and Civil Engineering inthe U. A. Whitaker College of Engineering at Florida Gulf Coast University. Dr. Kunberger received herB.C.E. and certificate in Geochemistry from the Georgia Institute of Technology and her M.S. and Ph.D.in Civil Engineering with a minor in Soil Science from North Carolina State University. Her areas ofspecialization are geotechnical and geo-environmental engineering. Educational areas of interest are self-efficacy and persistence in
to practice to enhance students experience in learning dynamics,” in 2015 ASEE Annual Conference & Exposition, p. 10.18260/p.23821. [3] S. Huang and J. M. Mativo, “Impact of interventions on students’ conceptual understanding of dynamics principles and self-efficacy,” in 2015 ASEE Annual Conference & Exposition, p. 10.18260/p.24223. [4] P. M. Nissenson, J. Seong, C. Chen, P. A. Dashner, and A. C. Shih, “Developing web-assisted learning modules in vector dynamics,” in 2014 ASEE Annual Conference & Exposition, https://peer.asee.org/20297. [5] E. Perry and J. Marchetta, “The effectiveness of online learning objects in helping stu- dents master required course competencies,” in 2006 ASEE Annual Conference &
teachers do not have a sufficient understanding of engineering concepts [6]. Otherstudies show that K-12 science teachers often do not have any background in engineering [7].Another possible reason for the difficulties that teachers have had in incorporating engineeringinto their science classes is that many teachers lack self-efficacy in teaching engineering [5] [8][9]. In order for teachers to overcome these challenges, there is a need for improved professionallearning opportunities for science teachers focused on teaching engineering.There is a significant push for such professional learning opportunities for K-12 science teachersacross the country. At the 2019 Annual Conference & Exposition of the American Society forEngineering Education
addition, they shared some of the positive experiences that characterizedtheir first year of engineering.The interviews were coded by an engineering education researcher who followed the stepssuggested by Patton10. First, all the interviews were read to determine possible codingcategories. Then, the interviews were again read with the purpose of “coding in a systematicway” (p.463). Finally, categories were determined by looking at the “recurring regularities”(p.465), or patterns, in the data. This process was used to determine categories for eachparticipant, and then to determine categories that were common across participants.ResultsWhen developing the survey, we had classified items into the following categories: self-efficacy,knowledge of the
: The National Academies Press.10) Denson, C. D., & Hill, R. B. (2010). Impact of an engineering mentorship program on African- American male high school students’ perceptions and self-efficacy. Journal of Industrial Teacher Education, 47(1), 99-127.11) Sanders, T. (2004). No Time to Waste: The Vital Role of College and University Leaders in Improving Science and Mathematics Education. United States Department of Education. http://www.ecs.org/html/Document.asp?chouseid=548012) Henderson, A. T., & Mapp, K. L. (2002). A new wave of evidence: The impact of school, family, and community connections on student achievement. Austin, TX: Southwest Educational Development Laboratory
activities, panel discussions, field trips, and a family celebration Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Educationwhere students have the opportunity to present their projects to their parents and peers.Participants will leave the program with concepts that will strengthen their math, science,analytical, problem solving, and communication skills. The disciplines covered are aeronautical,biomedical, chemical, environmental, electrical, civil, computer and mechanical engineering.Programs designed to encourage and attract young women to STEM need to combineinterventions that enhance students’ sense of self
surveys were administered to students. Second, students in bothclasses gave their feedback through focus groups.4.1 Survey ResultsTo help assess students problem solving skills, learning strategies, and self-efficacy with respectto both the material and general confidence, a survey was conducted both before and after thestudents experienced the module. This was done in both courses, and as a control group thesurvey was also administered to students in our optimization course (IE 312), which consistsmostly of junior and senior IE students. Page 9.688.8 Proceedings of the 2004 American Society for Engineering Education Annual Conference &
; Exposition Copyright © 2004, American Society for Engineering Education”mentoring relationships 14. Well-deployed mentoring can also be highly effective in supportingsystemic changed and in creating positive, productive, equitable learning environments 15.In contrast to the obstacles for academic women in engineering and science, noted above,mentoring, deliberate encouragement, and affiliation with a community have been shown toenhance women’s retention, self-efficacy, confidence, and likelihood of remaining in these fields16, 17 . For women of color, mentoring has been shown to be the only significant predictor ofsuccess 18. Mentoring can also serve to counter the idea that science and engineering are notfriendly to
enough self-efficacy to apply to engineering if they donot think they will be admitted.To better understand where the population of young women who apply to our college comefrom, we analyzed which high schools had the most women apply to our college and ultimatelyenroll. We found that the schools that sent the most women were the top-performing local highschools. We did the same for minority students and found that in addition to one top-rankedschool about an hour from our campus, our partner schools where we have active K-12engineering education programs matriculated the most minority students. This highlights theneed to continue our partnerships with minority-serving high schools and recruit more effectivelylocally.We have taken steps to
. The last suggestion is to facilitate the implementation ofinnovative materials and practice by working with peers through workshops and colloquia. Thisneeds to be done to provide personal support and build self-efficacy for instructors who want toimplement innovative materials and practices in their classrooms. These concepts and ideasabout implementation were used to inform development of materials described in this paper.MethodsThroughout instruction on all topics, students were asked to frequently express their mentalmodels in multiple modes. This revealed student thoughts about and understandings of thecontent. Student expressions and explanations of thinking were expressed in different ways, orrepresentations, including written, verbal
facilitate student learning and involvement. Rather than actingas the primary source of information, teachers provide access to information, so to foster self-efficacy and a sense of fascination as students strive to develop their own knowledge and skill-sets related to club topics. Moreover, teachers assist in determining a curriculum based onstudent interest, so to foster intrinsic motivation and stimulate the passion to learn. Adopting therole of the student, teachers gain new knowledge alongside their students, actively participating Page 24.1057.9in activities and lessons while encouraging students to put forth their own best efforts.Community
Inventory Assessment Instruments for Electromagnetic Education,” in Proc., IEEE Antennas and Propagation Society Int. Symp., San Antonio, Texas, 2002.13. Hake, R., “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses,” Amer. J. of Phys., Vol. 66, No. 64, 1998.14. Camtasia Studio 8.0, TechSmith, available at http://www.techsmith.com/camtasia.html, accessed January 3, 2014.15. Stickel, M., Liu, Q., and Hari, S., “The Effect of the Inverted Classroom Teaching Approach on Student/Faculty Interaction and Students’ Self-Efficacy,”, Proceedings 2014 ASEE Annual Conference & Exposition, Indianapolis, IN, June 2014
Framework for Pedagogical Agent as Learning Companions”, Educational Technology Research and Development, Vol. 54, No. 6., December 2006, pp. 569-596.39. Dede, C., “Transforming Education for the 21st Century: New Pedagogies that Help All Students Attain Sophisticated Learning Outcomes”, Commissioned by the NCSU Friday Institute, 2007, http://www.tdhah.com/site_files/Teacher_Resources/MUVE/MUVE%20Documents/Dede_21stC- skills_semi-final.pdf40. Gardenfors, P. and Johansson, Cognition, Education, and Communication Technology, Routledge, 2005.41. Marra, R. and Bogue, B., “Women Engineering Students Self Efficacy – A Longitudinal Multi- Institution Study”, http://www.x-cd.com/wepan06/pdfs/18.pdf42. Akl, R., Keathly, D., and Garlick