learning styles at opposite ends. ILS defines the generalcharacteristics of these eight learning styles. For example, "active learners retain and understandinformation best by doing something active with it; on the opposite end, reflective learners preferto think about the information quietly first." [4]. There are 44 a or b questions in the survey [12].Once the survey is completed, it immediately reports the preference scores in each dimension(Figure 1b). Figure 1: Index of Learning Styles dimensions (a) and Sample Survey Scorecard (b)ILS survey classifies an individual as either one of the directions at each dimension (e.g., eitheractive or reflective learner). The maximum score one can get in each dimension is 11. Students arealso asked to
in engineering education?” Science, Technology &Human Values 39, 42-72, 2014.[7] A. Biefeldt, “Disengaging or disappearing? Losing the most socially motivated students fromengineering?” Proceedings of the 2017 ASEE Annual Conference & Exposition, Columbus,Ohio, June 2017.[8] D.S. Schiff, E. Logevall, J. Borenstein, W. Newstetter, C. Potts, C., & E. Zegura, “Linkingpersonal and professional social responsibility development to microethics and macroethics:Observations from early undergraduate education,” Journal of Engineering Education, 110, pp.70-91, 2020.[9] B. Newberry, “Are engineers instrumentalists?” Technology & Society 29, pp. 107-119, 2007.[10] D. Nieusma, “Conducting the instrumentalists: a framework for engineering
consturctive learning processes”, British Journal of Education Psychology, vol. 68, pg 149-171, 1998 [3] N. B. Salah, I. B. Saadi, H. B. Ghezala, “Towards Ubiquitous Learning Situations for Disabled Learners” ICSOFT, pgs 144-151, 2020 [4] S. Yahya, E. A. Ahmad, and K. A. Jalil, "The definition and characteristics of ubiquitous learning: A discussion" Internation Journal of Education and Development using Information and Communication Technology, vol. 6(1), pg 117-127, 2010 [5] Y. Huang, P. Chiu, T. Liu, and T. Chen “The design and implementation of meningul learning-based evaluation method for ubiquitous learning”, Computers and Education, vol. 57(4), pg 2291-2302, 2011 [6] P. Koleda, “Innovation
, and K. A. Weeden, “Feeding the pipeline: Gender, occupational plans, and college major selection,” Social Science Research, vol. 42, no. 4, pp. 989-1005, 2013.[18] M. C. Bottia, E. Stearns, R. A. Mickelson, S. Moller, and A. D. Parler, “The relationships among high school STEM learning experiences and students’ intent to declare and declaration of a STEM major in college,” Teachers College Record, vol. 117, no. 3, pp. 1- 46, 2015.[19] J. B. Main, A. L. Griffith, X. Xu, and A. M. Dukes, “Choosing an engineering major: A conceptual model of student pathways into engineering,” Journal of Engineering Education, vol. 111, no. 1, pp. 40-64, 2022.[20] X. Wang, X, “Why students choose STEM majors: Motivation, high school
) 2 = Number of correct answers (1 to 5) 6 = Number of incorrect answers (2 to 10) 4 = Number of choices (2 to 6), e.g., 4 would give (a), (b), (c), and (d) 120 = Total number of question variations generated per question (max ≈ 100) Question 1: Question statement versions
), 255-270.Bettinger, E., and B.T. Long. (2004). “Shape up or Ship Out: The Effects of Remediation onStudents at Four-year Colleges.” NBER Working Paper #10369.Bettinger, E.P. and Long, B.T. (2009). Addressing the Needs of Under-Prepared Students inHigher Education: Does College Remediation Work? Journal of Human Resources, 44(3), 736-771.Boatman, A., & Long, B. (2018). Does Remediation Work for All Students? How the Effects ofPostsecondary Remedial and Developmental Courses Vary by Level of Academic Preparation.Educational Evaluation and Policy Analysis, 40(1), 29-58.Calcagno, J.C. and Long, B.T. (2008) The Impact of Postsecondary Remediation Using aRegression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance.NBER
. © American Society for Engineering Education, 2022 Powered by www.slayte.com Visualizing tensor component transformations using virtual reality and web-based applications John W. Sandersa Serop Kelkeliana Markus Wieserb G¨unter Bischofb a Department of Mechanical Engineering, California State University, Fullerton, United States b Department of Automotive Engineering, University of Applied Sciences FH JOANNEUM, AustriaAbstractTensors of the second rank, such as stress, strain, and the inertia tensor, are of fundamentalimportance in structural analysis and many other engineering applications. Unfortunately, theway in
response of 26 on the student survey. When asked about the same opportunity of beingpromoted at the workplace as peers, elderly care respondents did not have any concerns. As shown infigure 5, the top five respondent groups of concern about the opportunity at workplace were a) Black orAfrican American (71%), b) those who have dependent children (67%), c) Hispanic American (67%), d)Female (60%), and e) Heterosexual or Straight (35%). When asked about the possibility of harassmentwhile working in this industry, elderly care respondents did not have concerns. As shown in figure 5, thetop five respondent groups of concern about the possibility of harassment at the workplace were a)Bisexual (100%), b) Female (80%), c) African American (57%), d
, S. E., Manning, K. B., & Slattery, M. J. (2017, June). Impact of a Biomedical Engineering Undergraduate Research Program on Student and Faculty Perceptions of Creativity. In 2017 ASEE Annual Conference & Exposition.[11] Adams, J. P., Kaczmarczyk, S., Picton, P., & Demian, P. (2009). Problem solving and creativity in engineering: Perceptions of novices and professionals.[12] Belski, I., Adunka, R., & Mayer, O. (2016). Educating a creative engineer: learning from engineering professionals. Procedia Cirp, 39, 79-84.[13] Cybulski, J., Nguyen, L., Thanasankit, T., & Lichtenstein, S. (2003, January). Understanding problem solving in requirements engineering: Debating creativity with is
presented at 2005 Annual Conference, Portland, Oregon. 10.18260/1-2—1486710. Creasy, M. A., & Otte, N. (2014, June), Team-Teaching Secondary STEM Courses Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2—2310911. Vandevelde, Cesar, et al. "Overview of technologies for building robots in the classroom." International conference on robotics in education. 2013.12. H. David, “Why are there still so many jobs? The history and future of workplace automation,” J. Econ. Perspect., vol. 29, no. 3, pp. 3–30, 2015.13. Weintrop, David, et al. "Blockly goes to work: Block-based programming for industrial robots." 2017 IEEE Blocks and Beyond Workshop (B&B). IEEE, 2017.14. Pan, Zengxi, et al
first year engineering students inCalculus I and make it an effective approach in helping engineering students succeedacademically. MethodsThis study examines whether participating in the Engineering Launch program influences: a) theacademic readiness of engineering students before they enter Calculus I, and b) their academicperformance in Calculus I. In this quasi-experimental quantitative study, we focused specificallyon students who are not ready to enroll in Calculus I for three reasons: a) Calculus 1 is a requiredcourse for all engineering students, b) delayed enrollment in Calculus usually leads to delays inthe time to graduation, and c) Calculus I is a strong predictor of whether or not a student will beretained in engineering.To
Paper ID #37508Customer-Driven approach in Entrepreneurship InnovationBala Maheswaran (Professor) Bala Maheswaran is currently a senior faculty in the College of Engineering, Northeastern University. He has contributed and authored over one hundred publications consisting of original research and education-related papers, and conference proceedings. He has over twenty years of experience in teaching at Northeastern University. He is the Chair of the Engineering Physics Division, ASEE, Chair and executive board member, ASEE NE Section; the co-chair of TASME Conference (Technological Advances in Science, Medicine and
either Discord or a Google account.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under the NSFEAGER Grant DUE-1745922. Any opinions, findings, and conclusions, or recommendationsexpressed in this paper are those of the authors only and do not necessarily reflect the views ofthe National Science Foundation. The authors extend their gratitude to all interview participantswho allowed us to add their narratives to this study. The authors also extend their appreciation tothe anonymous reviewers for their thoughtful comments and feedback.References[1] C. Hodges, S. Moore, B. Lockee, T. Trust, and A. Bond, “The Difference Between Emergency Remote Teaching and Online Learning,” Educase Review, no. 27
Instruction, vol. 35, no. 4, pp. 265–289, Oct. 2017, doi:10.1080/07370008.2017.1355211.[3] V. Borum and E. Walker, “What Makes the Difference? Black Women’s Undergraduateand Graduate Experiences in Mathematics,” The Journal of Negro Education, vol. 81, no. 4, pp.366–378, 2012, doi: 10.7709/jnegroeducation.81.4.0366.[4] M. S. Ross, B. M. Capobianco, and A. Godwin, “REPOSITIONING RACE, GENDER,AND ROLE IDENTITY FORMATION FOR BLACK WOMEN IN ENGINEERING,” JWomen Minor Scien Eng, vol. 23, no. 1, pp. 37–52, 2017, doi:10.1615/JWomenMinorScienEng.2017016424.[5] S. J. Robinson, “Spoke tokenism : Black women talking back about graduate schoolexperiences,” Race Ethnicity and Education, vol. 16, no. 2, pp. 155–181, 2012, doi:10.1080/13613324.2011.645567
Students Involved with Interdisciplinary Computing a No direct involvement 12.1% (n = 3) Teach in interdisciplinary computing 48.5% (n= 13) Advise students in interdisciplinary computing 45.5% (n = 12) Conduct research with or on students involved 54.5% (n = 15) in interdisciplinary computing Types of Students Faculty Work with in Interdisciplinary Computing Contexts b Biology exploring bioinformatics 30% (n = 6) MA, and Ph.D. students 20% (n = 4) Students in interdisciplinary computing 15% (n = 3) programs Data Science 5% (n = 1) Genetics 5% (n
Paper ID #37295Conceptualizing First Principles Thinking in EngineeringEducationKimia Moozeh Kimia Moozeh is a Research Associate in Engineering Education at Queen's University, Canada and a Chemistry instructor at Durham College, Canada. She earned a B.S. and M.Sc. in Chemistry from University of Toronto, and a PhD in Engineering Education also from University of Toronto. Her research interests focus on lab-based learning, metacognitive skills and student motivation. She is also the cofounder of ladderane.com, a platform to create customizable chemistry virtual experiments.Lisa Romkey (Associate Professor
developing and researching equity-orientedframeworks and curricular materials for use nationwide. Youth Engineering Solutions Out ofSchool (YES OS): Engineering Opportunities in Out-of-School Programs for English Learners,funded by the NSF Broadening Participation in Engineering Division, is investigating ways thatequity-oriented OS engineering curricula provide opportunities for ELs to learn knowledge,discourses, and practices; bring their cultures, experiences, and ideas to engineering projects;expand their repertoire of identities and interests; and enhance membership in learningcommunities. Our first year of this grant-funded project focused on: (a) developing a Model for Equity-Oriented Engineering Learning and (b) applying these
the instructor.The instructor visually evaluated the quality of the welds like cracks, porosity, undercut, with afocus on arc strikes and bead consistency. The grades were based on 100 points. Depending on thetype and severity of defects, 2 to 10 points were taken off from 100 total points. Then the digitgrades were converted to letter grades. The letter grades for the 2019 and 2021 groups areillustrated in Figures 9 and 10, respectively. There was no welding training in 2020 because allclasses were held online due to the Covid-19 virus spread. As shown in figure 9, six students out of fifteen received the letter A/A- in the 2019 group.In other words, 40% of the class met the training objectives. Eight of them received B/B+/B-. Onthe
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STEM diversity, persistence, and success. BioScience, 64(7), 612–618. https://doi.org/10.1093/biosci/biu076Bird, S. R., & Rhoton, L. A. (2021). Seeing isn’t always believing: Gender, academic STEM, and women scientists’ perceptions of career opportunities. Gender and Society, 35(3), 422–448. https://doi.org/10.1177/08912432211008814Casad, B. J., Franks, J. E., Garasky, C. E., Kittleman, M. M., Roesler, A. C., Hall, D. Y, & Petzel, Z. W. (2020). Gender inequality in academia: Problems and solutions for women faculty in STEM. Journal of Neuroscience Research, 99(13), 13–23. https://doi.org/10.1002/jnr.24631Cech, E. A., & Blair-Lory, M. (2019). The changing career trajectory of new
-2020/ (accessed Nov. 04, 2019).[2] “ASME Code of Ethics of Engineers,” 2012.[3] J. Lucena, G. Downey, B. Jesiek, and S. Elber, “Competencies Beyond Countries : The Re-Organization of Engineering Education in the United States , Europe , and Latin America,” J. Eng. Educ., no. October, pp. 433–448, 2008, doi: 10.1002/j.2168- 9830.2008.tb00991.x.[4] K. Q. Fisher, A. Sitomer, J. Bouwma-gearhart, and M. Koretsky, “Using social network analysis to develop relational expertise for an instructional change initiative,” Int. J. STEM Educ., vol. 5, 2019.[5] S. E. Brownell and K. D. Tanner, “Barriers to faculty pedagogical change: Lack of training, time, incentives, and...tensions with professional identity
? a. What are the different types of structures present in an engineering students’ timeline to major declaration? b. What is the exploratory curiosity of the activities present in an engineering students’ timeline to major declaration?RQ2: What are the different pathways engineering students took before declaring their major?4. MethodologyThe data used in this research were collected as a part of a larger study on learning throughmaking in a university engineering program. The data were collected based on a series ofphenomenologically based interviews of students who self-identified as makers and enrolled in ageneral engineering program within a mid-Atlantic University. Nine students were interviewedby a single graduate
) in 2021maybe because many conference publications were not yet indexed by publisher databases at thestart of 2022 when this study was conducted.Figure 2Contributions of Borrego et al. [13] Research in other disciplines Systematic 17% literature reviews Other 41% engineering education research 42% Overall, between 2015 and 2021, Borrego et al. [13] contributed to 209 research studiespublished in 20 different conferences (Appendix A) and 68 different journals (Appendix B
,” J. Women Minor. Sci. Eng., vol. 20, no. 2, 2014.[5] D. Rae and D. E. Melton, “Developing an entrepreneurial mindset in US engineering education: an international view of the KEEN project,” J. Eng. Entrep., vol. 7, no. 3, 2017.[6] G. P. Wiggins, G. Wiggins, and J. McTighe, Understanding by design. Ascd, 2005.[7] M. Yang, “Making interdisciplinary subjects relevant to students: An interdisciplinary approach,” Teach. High. Educ., vol. 14, no. 6, pp. 597–606, 2009.[8] J. Bransford, A. Brown, and R. Cocking, How People Learn. 2000.[9] L. B. Silverstein and S. Layne, “Defining arts integration,” John F. Kennedy Cent. Perform. Arts, pp. 1–10, 2010.[10] National Coalition for Core Arts
Line on floor track Figure 11: Path of the robot and sensorsThe sample of program is giving in figure 12. Figure 12: Robot program using sensorsAssessment of projectTo investigate effectiveness of the project, examination scores from introduction to engineeringcourse offered in two consecutive academic years were compared. Two groups were used:Cohort A represented students who were enrolled in the course before implementing of newapproach and Cohort B included students who were enrolled in consecutive academic year. Thenew approach, which included a visual technique and hands-on robotics was implemented onCohort B
in the following section. To provide consistency, eachauthor analyzed one problem to identify specific errors that students made. Figure 1 Reference Sheet Provided with Engineering Mechanics Diagnostic Exam (from [11])RESULTS AND DISCUSSIONFigure 2(a) & Figure 2(b) show the average scores on each question by juniors and seniors ontheir respective version of the exam. Perhaps more instructive than average performance is thenumber of students that got the question completely correct (see Figure 3). In these andsubsequent figures, the notations provide the class year and which exam: e.g. “2020 Jr” is resultsfrom the graduating class of 2020 on the junior diagnostic exam and “2020 Sr” are results fromthe same class on the senior exam
/a9WRjsG9SeE).The single short concept video approach is aligned with the new modality of receivinginformation, where students can either watch the video several times or skip it if they alreadyunderstand the topic. The learning glass represents a powerful tool that shows the instructortalking face-to-face writing on a glass board giving the sensation to the students as if they werein the same room (see figure 1), and the Solidwork animation with the problem solutions are avery effective representation of the problem (see figure 2), this later resource has been used onlyfor one term and no assessment on student perception has been done. a) Statics b) Dynamics Figure 1
inequalities? The technical/social dualism and the gender wage gap in engineering. Social Forces, 91(4), 1147–1182.Cerny, B. A., & Kaiser, H. F. (1977). A study of a measure of sampling adequacy for factor- analytic correlation matrices. Multivariate Behavioral Research, 12(1), 43–47.Chyung, S. Y., Barkin, J. R., & Shamsy, J. A. (2018). Evidence‐based survey design: The use of negatively worded items in surveys. Performance Improvement, 57(3), 16–25.Cooper, L. A., & Mott, J. (2021). Implementing Social Justice Projects in Thermal System and Mechanical Design Courses. In 2021 ASEE Virtual Annual Conference Content Access.Corning, A. F., & Myers, D. J. (2002). Individual orientation toward engagement in social action
, Louisiana State University,Miami University Ohio, Morgan State University, North Carolina State University, OklahomaState University, Prairie View A&M University, Tennessee Tech University, Texas A&MUniversity, University of California-Berkeley, University of Central Oklahoma, University ofConnecticut, University of Dayton, University of Kentucky-Lexington, University of Kentucky-Paducah, University of Mississippi, University of New Haven, University of Oklahoma,University of Pittsburgh, University of Texas Rio Grande Valley, University of Tulsa, WichitaState University, Washington State University, Washington University St. Louis, York Collegewho participated in or directed the implementation.References[1] N. J. Hunsu, B. Abdul, B. J
Environmental Protection Agency, and Rodrigues, M.have studied the climate change expectations for Puerto Rico in the future [9], [10], [11]. Anincrease in sea water levels and in rainfall event intensity will most likely impact these and othercommunities on the Island in the future. Students were also able to assess the impact of the seawater rise at the visited communities using NOAA tools [8]. Figure 4 presents sea water risescenario maps for (a) 3 feet and (b) 6 feet where it is evident that the coastal communities will beaffected by the projected flood extension. San José San JoséGuanajibo Homes Guanajibo Homes