faculty development.References[1] L. McAlpine and R. Harris, “Lessons learned: Faculty developer and engineer working as faculty development colleagues,” Int. J. Acad. Dev., vol. 4, no. 1, pp. 11–17, May 1999, doi: 10.1080/1360144990040103.[2] D. Little, D. A. Green, and C. Hoption, “A lasting impression: the influence of prior disciplines on educational developers’ research,” Int. J. Acad. Dev., pp. 1–15, Apr. 2018, doi: 10.1080/1360144X.2018.1458617.[3] A. Repko and R. Szostak, Interdisciplinary research: Process and theory. Thousands Oaks, CA: Sage, 2017.[4] J. B. Holbrook, “What is interdisciplinary communication? Reflections on the very idea of disciplinary integration,” Synthese, vol. 190, no. 11, pp. 1865–1879, Jul. 2013
Communication Instruction in Engineering Schools: A Survey of Top-Ranked U.S. and Canadian Programs,” J. Bus. Tech. Commun., vol. 18, no. 4, pp. 452– 490, 2004.[3] N. T. Buswell, B. K. Jesiek, C. D. Troy, R. R. Essig, and J. Boyd, “Engineering instructors on writing: Perceptions, practices, and needs,” IEEE Trans. Prof. Commun., vol. 62, no. 1, pp. 55–74, Mar. 2019, doi: 10.1109/TPC.2019.2893392.[4] Yoritomo, J. et al., “Examining engineering writing instruction at a large research university through the lens of writing studies,” presented at the 2018 ASEE Annual Conference and Exposition, Salt Lake City, Utah, 2018, [Online]. Available: https://peer.asee.org/30467.[5] A. Pincas, Teaching English writing, Repr. London
problem [4].A number of rubrics have been developed to assess problem solving skills in students.Parematasari and colleagues implemented a 4 indicator problem solving rubric based on:Identification of the Problem, Planning a Solution, Implementing a Solution, and Evaluation [5].The rubric, which implemented a 1-4 scoring scale, was tested in a Physics class with senior highschool students. Another rubric implemented in Physics uses 44 sub-skills split in threecategories: knowledge, beliefs, expectations and motivations, and processes [6]. That rubric wasused to evaluate problem solving skills in students enrolled in courses College Algebra toIntroductory Calculus. Many other problem solving rubrics are available [7]. B. Assessment of Problem
AppendixA and B for examples of the format and content for the student project reports.Data Collection MethodsThe presumption is that skills for accurate analysis not only come with many years ofexperience, but that there are certain teaching methods that can help develop an FEAmindset for students. The common understanding that “junk in = junk out” has very muchproven to be accurate, but students need to understand what is “junk”. The theoreticalunderstanding of restricting a body from rigid body motion, and the type of elements touse for meshing are examples of concepts being assessed. The results from the studentself-reflection survey of the industry relevant requirements of this FEA course mayprovide formative feedback for continuous course
subgroups.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grantnumbers DUE #1834425 and DUE #1834417. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] O. Ha and N. Fang, "Spatial Ability in Learning Engineering Mechanics: Critical Review," Journal of Professional Issues in Engineering Education and Practice, vol. 142, no. 2, p. 04015014, 2015.[2] J. G. Cromley, J. L. Booth, T. W. Wills, B. L. Chang, N. Tran, M. Madeja, T. F. Shipley and W. Zahner, "Relation of Spatial Skills to Calculus Proficiency: A Brief Report," Mathematical Thinking and Learning, vol. 19, no. 1, pp. 55-68, 2017.[3] S. A. Sorby
upon how much theassignment contributes to the course overall grade, students may elect not to re-submit work forimproved grades. A significant portion of the 14% of students with no submission (figure 3a)represents those who ended their participation in the course. Figure 3b reveals the total numberof badges earned per competency; it is noted that the two students who chose the CareerManagement competency did not complete the requirements to earn the badge. (a) (b) Figure 3: (a) Percentage of students who earned one of the NACE badges. (b) Distribution of badges earned by the 76% of students who completed the CRBP.Managing the program for a large class size poses challenges mainly in
professionals return to school for graduatedegrees?,” in Proceedings of the American Society for Engineering Education, June 2012, SanAntonio, TX[5] D. L. Peters and S. R. Daly, “Returning to graduate school: Expectations of success,values of the degree, and managing the costs,” Journal of Engineering Education, vol. 102, no.1, pp. 244 - 268, April 2013, doi:10.1002/jee.20012.[6] E. Mosyjowski, S. R. Daly, A. B. Baker, D. L. Peters, and S. Skerlos, “Engineeringpractitioners in PhD programs: Who are they and why do they return?,” in Proceedings of theAmerican Society for Engineering Education, June 2015, Seattle, WA.[7] E. Mosyjowski, S. R. Daly, D. L. Peters, S. Skerlos, and A. B. Baker, “The PhD advisingrelationship: Needs of returning and
5 4 4 4 3 3 3 2 2 2 2 0 0 0 0Figure 5. Code Frequency by Interview (A, B, C) and CodeDevelopment of Four Key Themes from InterviewsTheme I: RelationshipsThe codes for Social and Professor Connections make up this theme. Each of these codes relatesto the idea of spending intentional time connecting with others, whether peers, mentors orprofessors. This theme represents almost a quarter of positive impact of the ELC mentioned byinterviewees (24/98 total codes: 24
,” J. Eng. Educ., vol. 100, no. 1, pp. 48–88, 2011.[2] M. Dyer, “STEAM without hot air: strategy for educating creative engineers,” Australas. J. Eng. Educ., vol. 24, no. 2, pp. 74–85, Jul. 2019.[3] L. M. Larson, K. M. Pesch, S. Surapaneni, V. S. Bonitz, T.-F. Wu, and J. D. Werbel, “Predicting Graduation: The Role of Mathematics/Science Self-Efficacy,” J. Career Assess., vol. 23, no. 3, pp. 399–409, Aug. 2014.[4] C. Carlson, G. Peterson, and D. Day, “Utilizing Portable Learning Technologies to Improve Student Engagement and Retention,” IEEE Trans. Educ., vol. 63, no. 1, pp. 32–38, 2020.[5] S. B. Robbins, K. Lauver, H. Le, D. Davis, R. Langley, and A. Carlstrom, “Do Psychosocial and Study Skill
students see it, a simple switch usually solves it. Allowing the students to select who they might want on the team, or who they do not want on the team can cause poor or even infeasible solutions, student a wants student b, b wants c, but c does not want a. Therefore, best use is to limit this, and create the rule that both must select each other for example. Unbeknownst to the students, the instructor can also match or unmatch students if they know them well enough, very helpful. The output shows where the student schedules overlap, which provides evidence that they can meet based on their input. Overall, the teams have been great.User feedback has helped make gruepr better and easier to use. This
E: Estimated A: area in2 0.125 Modules of Elasticity psi 9295086 I: area moment Modules of Elasticity of inertia of area in4 1.63E-04 book value psi 10000000 M: mass lb 0.140 Percentage error 7.05%3.2 Forced vibrationThe objectives of this lab are four-folds. a) introduce experimental methods to explore forcedvibration under rotating unbalance; b) observe/measure the natural frequency of the beam withadded concentrated mass; c) observe the behavior of the cantilever beam under differentfrequency force applied; and d) observe
. Strongly B. Agree C. Somewhat D. Disagree survey agree Agree Pre Post Pre Post Pre Post Pre Post The designed bridge is a 10% 10% 50% 30% 10% 0 30% 60% statically indeterminate beam. The force places on the 50% 50% 40% 50% 10% 0 0 0 beam in the lab is in the elastic region The designed bridge will 20% 20% 40% 50% 30% 30% 10% 0 not have any tendency to rotate during the test. The manufacturing 60% 20% 40% 80% 0 0 0 0 process may affect the tensile strength and stiffness of the material.There are also
Paper ID #29220Pilot Study Results from Using TrussVR c to Learn About Basic TrussesRyan Banow, University of Saskatchewan Ryan Banow is an Educational Development Specialist at the Gwenna Moss Centre for Teaching and Learning at the University of Saskatchewan. He is also a PhD student in the within the College of Educa- tion at the University of Saskatchewan. He has worked as an Educational Developer since 2012 and has taught as a Sessional Lecturer since 2014. He is currently the chair of the University of Saskatchewan’s Instructional Design Group. His educational background includes a BSc (Math), a BEd (Secondary Math
or fellowship.For the purposes of program improvement, these findings suggest that training curriculum forComm Lab peer coaches might further incorporate strategies and exercises to help coacheswork with clients on organization/flow in particular.Figure 3: Clients and coaches usually agreed about the main takeaway from Comm Labappointments, and takeaways were most often high-level communication skills rather thanmechanics. a) Agreement in the content of client and coach survey responses about appointmenttakeaways: averaged scores for takeaway agreement from two reviewers (0 = completely differentideas, 1 = same general idea, 2 = exact match). b) Takeaways scored for mentions of the 7 skillcategories from our rubric (union of scores from
-1333468). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] S. R. Brunhaver, R. F. Korte, S. R. Barley, S. D. Sheppard, R. Freeman, and H. Salzman.“Bridging the gaps between engineering education and practice.” In US Engineering in a GlobalEconomy, University of Chicago Press, 2018, pp. 129-163.[2] S. K. Gilmartin, S. R. Brunhaver, H. L. Chen, and S. D. Sheppard, “Career plans ofundergraduate engineering students: Characteristics and contexts.” In US Engineering in a GlobalEconomy, University of Chicago Press, 2018, pp. 49-85.[3] B. A. Masi, A. E. Hosoi, and S. A. Go, “Re-engineering engineering
. Table 1: Rubric to assess student outcomes Civil Engineering A+ / A A- / B+ / B B- / B / C+ C / C- D/F Student Outcome 94-100 93-84 83-77 77-70 69-0DESIGN (SO1): Identify, Problem clearly Problem clearly Problem identified with Problem identified with Failed to identify problemformulate, and solve identified with no identified with some some assistance. significant assistance. effectively.complex engineering assistance. assistance.problems by applying
G.-J. Hwang, “A collaborative game-based learning approach to improvingstudents’ learning performance in science courses,” vol. 63, pp. 43–51, Apr. 2013, doi:10.1016/j.compedu.2012.11.019.[3] D. B. Jordaan, "Board Games in the Computer Science Class to Improve Students’ Knowledgeof the Python Programming Language," 2018 International Conference on Intelligent andInnovative Computing Applications (ICONIC), Plaine Magnien, 2018, pp. 1-5.[4] Swacha, Jakub. “An Architecture of a Gamified Learning Management System.” Lecture Notesin Computer Science New Horizons in Web Based Learning, 2014, doi:10.1007/978-3-319-13296-9_22.[5] V. Gupta, M. James, J. McLurkin, M. Smith, and J. Robinson, “Raising a Generation ofInventors,” How Play Fosters
.26610[2] Godwin, A. (2016, June). The Development of a Measure of Engineering Identity. 2016 ASEE Annual Conference & Exposition Proceedings. 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. https://doi.org/10.18260/p.26122[3] Dickinson, Leslie. "Autonomy and motivation a literature review." System 23.2 (1995): 165- 174.[4] Seifert, T. (2004). Understanding student motivation. Educational Research, 46(2), 137–149. https://doi.org/10.1080/0013188042000222421[5] Bolton, C., University, B., Martin, D. K. M., University, E.-R. A., Miskioglu, D. E., & University, B. (n.d.). Work in Progress: Using the Critical Incident Technique to Illuminate the Relationship between Engineering Identity and Academic
0 𝑣𝑣 𝐶𝐶 1 𝑖𝑖𝐿𝐿0 𝑑𝑑𝑑𝑑 𝐶𝐶 𝐶𝐶In the generic form, 𝑋𝑋̇ = 𝐴𝐴 𝑋𝑋 + 𝐵𝐵 (2)Where X is a vector of objects under the state class, Ẋ is the vector of derivatives of state objects, matrix A describesthe circuit network and B is the excitation vector involving the sources and the initial conditions of the statevariables.The solution of state variables is obtained in the Laplace domain from, 𝑋𝑋(𝑠𝑠) = (𝑠𝑠𝑠𝑠 − 𝐴𝐴)−1 𝐵𝐵+ x0
approaches for incorporating concept maps. One student at UEresponded “not applicable” to several prompts, which is not shown in the charts.Two prompts requested information about previous student experience with concept maps. Theresponses, shown in Figure 3, indicate that students at both universities had some familiarity withconcept maps prior to the course but generally had not used concept maps as a study tool forengineering courses. (a) (b) Figure 3: Prior experience with concept mapsThe responses in Figure 4 indicate student participation in developing and modifying personalconcept maps for the course. The prompt language varied slightly based on
narrative constructions,we also compiled a conceptually clustered matrix that tracks patterns in participants’ developingnarratives over time, which allows the researchers to make contrasts and comparisons among thestudents within the themes [22]. This matrix includes students’ personal information (i.e., groupmembership, major, and life changes), identity-building experiences, specifically aligned to theidentity trajectory strands, agency, belonging, and unique elements or connections amongparticipants. This paper describes the methods used to construct the restoryed case summaries ofeach participant, featuring two participants: one participant in group A who persisted inengineering and one participant in group B who decided to pursue a different
, vol. 95, no.1, pp. 25-37, 2006.[2] W. Faulkner, “Nuts and Bolts and People: Gender-troubled engineering identities,” Social Studies of Science, vol. 37, no.3, pp. 331-356, 2007. https://doi.org/10.1177/0306312706072175[3] E. Cech, (2014). “Engineers and Engineeresses? Self-conceptions and the Development of Gendered Professional Identities,” Sociological Perspectives, vol. 58, no. 1, pp. 56–77, 2014.[4] A. Johri, & B. Olds, “Situated Engineering Learning : Bridging Engineering Education Research,” Journal of Engineering Education, vol. 100, no. 1, pp. 151–185, 2011.[5] J. Lave and E. Wenger, “Situated Learning,” 1991.[6] E. Wenger, “Communities of practice: Learning as a social system,” Systems thinker, vol. 9
disengagement) and teaching quality [10], teacher’s use ofstudent-centered teaching techniques [8], teacher availability [10], and overall course support [9].In this study where faculty and TAs were studied as individual participants in the teachingprocess, the emergence of TA support as a distinct predictor of engagement is noteworthy andspeaks to the unique importance of what TAs do to facilitate student engagement andachievement. Table 6: Hierarchical Regression Models for Attention Model 1 Model 2 Model 3 Predictor Variable B (SE) p B (SE) p B (SE) p
Paper ID #29105Expectations in engineering programs – between social construction andinternalized experienceMr. Hindolo Michael Kamanda, University of Georgia Undergraduate researcher at the University of GeorgiaMr. Davis George Anderson Wilson, University of Georgia Undergraduate researcher at the University of GeorgiaDr. Joachim Walther, University of Georgia Dr. Joachim Walther is a Professor of engineering education research at the University of Georgia and the Founding Director of the Engineering Education Transformations Institute (EETI) in the College of Engineering. The Engineering Education Transformations
through the implementation of a two-week summer engineering programmodeled after the REU. Much like the REU program, the participants stayed on campus for thelength of the program. However, due to the age of the participants, the length of the high schoolprogram was significantly shorter than the undergraduate program. The program also included amentorship component, roundtable discussions about common experiences related to ADHD,and creative problem-solving activities in the context of structural, material, and electricalengineering activities. Samples of activities including optimizing the design of composites forstrength and cost, and a spaghetti bridge competition. (a) (b
software is to create a virtual model of the work cell. This involves creating or obtaining 3D CAD models of the equipment, workpieces, enclosure, tools, and other resources and fixtures that will be in the work cell; and importing them into our Visual Components software. There may be extra steps to simulate resources and processes, depending on the Visual Components software being used. Accuracy of the models and process-related information used is critical to generating a reliable simulation of the process and error-free offline program for the robots. b) Tool Path Generation: Tool path generation involves extracting robot positions from 3D CAD data with a specific tool center point – the point
thecosts of the parts, (4) Quality Engineer: the quality engineer develops a system to ensure theproducts are designed and produced to meet customer requirements. The quality engineer will testand inspect the final products to determine if the customer requirements are met. Figure 1. Main steps for the car toy assembly process Table 1. Sample customer requirements Vehicle Requirements Functional Requirements (a) vehicle weight between 20 and 40 grams (a) driver must be able to get in and out of the (b) material cost ≤ $10 vehicle and see where he is going while traveling (c) number of individual components ≤ 2 (b
the National Science Foundation under GrantNos. 1938744, 1939105, and 1939272. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation..References[1] Stevens, R., Johri, A., & O’Connor, K. (2014). Professional engineering work. In A. Johri & B. Olds (Eds). The Cambridge Handbook of Engineering Education Research (pp. 119- 139). New York, NY: Cambridge University Press.[2] National Academy of Engineering (2005). Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington, DC: National Academies Press.[3] Stevens, R., O’Connor, K., & Garrison. L. (2005
, M-I., Nocito-Gobel, J., and Li, Q. (2018), Developing an entrepreneurial mindset in engineering students using integrated e- learning modules. Advances in Engineering Education, 7(1). 8. Harichandran, R. S., & Erdil, N. O., & Carnasciali, M., & Li, C. Q., & Nocito-Gobel, J., & Rana, A. (2019, June), EML Indices to Assess Student Learning through Integrated e- Learning Modules. Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/32704 9. Redmond, P. (2011). From face-to-face teaching to online teaching: Pedagogical transitions. In G. Williams, P. Statham, N. Brown & B. Cleland (Eds.), Changing Demands, Changing Directions
-impact academicdeliverables is a way to feed the fire of their own creativity.References[1] E. Swartz, R. Striker, M. Pearson, L. Singelmann, and E. Alvarez Vazquez, “Innovation Based Learning on a Massive Scale,” in 2019 IEEE Learning With MOOCS (LWMOOCS), 2019.[2] J. W. Thomas, “A review of research on project-based learning,” 2000.[3] W. B. Gudykunst, Bridging differences: Effective intergroup communication. Sage, 2004.[4] R. Striker, M. Pearson, E. Swartz, L. Singelmann, and E. A. Vazquez, “21st Century Syllabus: Aggregating Electronic Resources for Innovation-Based Learning,” in 2019 IEEE Learning With MOOCS (LWMOOCS), 2019, pp. 75–78, doi: 10.1109/LWMOOCS47620.2019.8939640.[5] E. Alvarez Vazquez