), 2011 (pp. F1C-1). IEEE.[10] Gilbuena, D. M., Sherrett, B. U., Gummer, E. S., Champagne, A. B., & Koretsky, M. D. (2015). Feedback on professional skills as enculturation into communities of practice. Journal of Engineering Education, 104(1), 7-34.[11] Litchfield, K., Javernick‐Will, A., & Maul, A. (2016). Technical and professional skills of engineers involved and not involved in engineering service. Journal of Engineering Education, 105(1), 70- 92.[12] Walther, J., Miller, S. E., & Sochacka, N. W. (2017). A model of empathy in engineering as a core skill, practice orientation, and professional way of being. Journal of Engineering Education, 106(1), 123-148.
process of implants starts with a MRI scan - Ma et al., (2013).Figure 1 below shows some of the student work including simple stress analysisthat they performed. Figure 2 shows some of the students’ project they did in thecourse. Figure 1: Design and analysis of a custom knee implant Figure 2: Some of the students’ projects in the Advanced Solid Modeling course.Stage 2: Summer Training Program:The objective of this training is to provide students with a more in depth experiencein AM and design. The training includes: a. Hands on workshop on how to build a 3D printer: students build, calibrate, and test their own 3D printers. This training lasts for three days. b. Seminars by faculty and professionals from the
the x-axis is an identifier with thefollowing structure: A B, M or D is used as the first letter to denote programs that offer baccalaureates, master’s or doctorates as the highest degree. The two digits following the first letter is a numeric code assigned to each institution. The two digits and optional letter between the two dashes is a code assigned to the instructor. If the same instructor deployed a module in multiple sections or courses, then the letter code “a”, “b”, … is used to denote the different sections/courses”. The letters at the end denotes the e-learning module (e.g., TC = Thinking Creatively). In addition to the ratings assigned to student performance, the magnitude of the EML
process.Figure 2. An example concept map that shows the customer involvement throughout the process (relevant elements highlighted) B. Needs Analysis/Problem DefinitionIn the pre-data, percentages of participants who showed this theme in their responses are 50%(18 out of 36) for the without prior knowledge group and 55.56% (15 out of 27) for the withprior knowledge group. Almost all of those who showed this theme mentioned “identify theproblem” without providing any details. Only three responses included some details such as“understand limitations & parameters”. Only a slight difference was found between these twogroups for this theme, indicating that the prior experiences and knowledge did not seem to makea difference
learning. The survey was used to assess the overallinterest towards pursuing STEM degree and careers. ECSU Summer Academy programadopted (and modified) a post only survey originally developed by The Program EvaluationGroup for Science enrichment programs. The original instrument has been used to evaluateseveral K-12 science enrichment programs for over fifteen (15) years.The questions (Q1a-g) are listed below: a. This program helped me better understand STEM areas. b. Because of this program, I feel better about being able to learn STEM topics. c. I learned some things in this program that I can use in class at school. d. Because of this program, I think I am more aware of the importance of STEM in everyday living. e. I tell my
relationships from the perspective of the mentor. In B. R. Ragins & K. E. Kram (Eds). The handbook of mentoring at work: Theory, research and practice (pp. 123-147). Thousand Oaks, CA: Sage.Anfara, V. A., Brown, K. M., & Mangione, T. L. (2002). Qualitative analysis on stage: Making the research process more public. Educational Researcher, 31(28), 28-38.Anfara, V. A, & Mertz, N. T. (Eds.) (2015). Theoretical frameworks in qualitative research (2nd ed.). Thousand Oaks, CA: Sage.Babbie, E. (2015). The practice of social research (14th ed.). Boston, MA: Cenage.Baez, B. (1999). Faculty of color and traditional notions
,” J. Mark. Educ., vol. 36, no. 1, pp. 5–19, 2014.[7] S. Singer and K. A. Smith, “Discipline‐based education research: Understanding and improving learning in undergraduate science and engineering,” J. Eng. Educ., vol. 102, no. 4, pp. 468–471, 2013.[8] J. E. Froyd, P. C. Wankat, and K. A. Smith, “Five major shifts in 100 years of engineering education,” Proc IEEE, vol. 100, no. Special Centennial Issue, pp. 1344–1360, 2012.[9] J. L. Chiu et al., “WISEngineering: Supporting precollege engineering design and mathematical understanding,” Comput. Educ., vol. 67, pp. 142–155, 2013.[10] B. Galand, B. Raucent, and M. Frenay, “Engineering students’ self-regulation, study strategies, and motivational
Investigation Of Online Homework: Required Or Not Required?,” Contemp. Issues Educ. Res. – Second Quart., vol. 6, no. 2, pp. 189–199, 2013.[11] V. Berardi, “The Impact of Using Randomized Homework Values on Student Learning,” vol. 11, no. 2, pp. 4–17, 2011.[12] J. Dillard-Eggers, “Evidence On The Effectiveness Of On-Line Homework,” Coll. Teach. Methods Styles J., vol. 4, no. 5, 2008.[13] D. J. Doorn, S. Janssen, and M. O’Brien, “Student Attitudes and Approaches to Online Homework,” Int. J. Scholarsh. Teach. Learn., vol. 4, no. 1, 2010.[14] D. B. Smithrud and A. R. Pinhas, “Pencil-Paper Learning Should Be Combined with Online Homework Software,” J. Chem. Educ., vol. 92, no. 12, pp. 1965–1970, 2015.[15] J. L. Davis and T. N
. 100 90 80 70 Score 60 50 40 30 20 S14B#1 F14B#2 S15B#2 S15A#1 F15A#2 Year/Professor Figure 3,Boxplot of students’ test grades, middle quartiles with X as average. B is before automated grading, A is after Automated Grading. Divided by professors 1 and 2.Initially, students were assigned both on the tutorials in the textbook as well as additionalhomework problems at the end of the chapter that required skills from the tutorials. The facultyfound that some students were spending a significant amount of time trying to get the
Approach to Teach Pull and Push Production System Concepts,” Eng. Manag. Res., vol. 1, no. 1, p. 110, 2012.[22] J. K. Bandyopadhyay, “Developing a model for a supply chain management major in a United States university in the new millennium,” Int. J. Manag., vol. 21, no. 1, p. 67, 2004.[23] R. Z. Farahani and M. Hekmatfar, Facility location: concepts, models, algorithms and case studies. Springer, 2009.[24] S. S. Heragu, Facilities design. CRC Press, 2008.[25] D. Louwers, B. J. Kip, E. Peters, F. Souren, and S. D. P. Flapper, “A facility location allocation model for reusing carpet materials,” Comput. Ind. Eng., vol. 36, no. 4, pp. 855– 869, 1999.[26] M. E. Bruni, D. Conforti, N. Sicilia, and S. Trotta, “A new organ
Lafayette (College of Engineering) Dr. Karen Marais’ educational research focuses on improving systems engineering education. She is the author of several technical publications, including 17 journal papers and two book chapters. She received an NSF CAREER award in 2014. Dr. Marais has worked in engineering for two decades, first in industry and then in academia. She holds a B. Eng. in Electrical and Electronic Engineering from the University of Stellenbosch, a B.Sc. in Mathematics from the University of South Africa, and an S.M and Ph.D. from the Department of Aeronautics and Astronautics at MIT. c American Society for Engineering Education, 2019 Assessment of Project-Based
ASEE Paper_2019_Final - Google Docs concerns. As such, the co-instructors framed the seminar as helping the LAs (a) learn how to support their students, (b) learn how to partner with course instructors to improve students’ experiences, and (c) develop their engineering skills (e.g reflect on design process, facilitate teamwork, and consider social justice implications). This second iteration of the seminar maintained some of the same learning objectives as the pilot version of the seminar such as (1) identify and critically evaluate claims from readings, (2) carefully observe and document classroom events, (3) analyze classroom events and consider multiple plausible
innovative application ofaugmented reality and indoor positioning technologies,” Electronic Library, 34(1), 99-115. 2016[3] C. Own. “Making without Makerspace, Another Study of Authentic Learning withaugmented Reality Technology,” in T. W. Chang & R. H. Kinshuk (Eds.), Authentic Learningthrough Advances in Technologies, pp. 189-201, 2018.[4] S. Adams Becker, M. Brown, E. Dahlstrom, A. Davis, K. DePaul, V. Diaz, & J. Pomerantz.“Time-to-Adoption Horizon: Four to Five Years: Mixed Reality,” Horizon Report 2018 HigherEducation Edition. EDUCAUSE. pp. 46-47, 2018[5] B. Brinkman and S. Brinkman. “AR in the Library: A Pilot Study of Multi-TargetAcquisitions Usability,” in Proceedings of the IEEE International Symposium on Mixed andAugmented Reality
Opportunities,” New Dir. High. Educ., no. 143, pp. 11–19, 2008.[14] C. Fitzmorris, R. Shehab, and D. Trytten, “The career goals of non-tenure-track full-time engineering faculty,” in 2016 IEEE Frontiers in Education Conference (FIE), 2016, pp. 1–6.[15] B. L. Yoder, “Engineering by the Numbers,” in ASEE Profiles of Engineering and Engineering Technology Colleges, 2017, pp. 1–37.[16] A. Kezar, “Examining Non-Tenure Track Faculty Perceptions of How Departmental Policies and Practices Shape Their Performance and Ability to Create Student Learning at Four-Year Institutions,” Res. High. Educ., vol. 54, no. 5, pp. 571–598, 2013.[17] M. K. Eagan Jr., A. J. Jaeger, and A. Grantham, “Supporting the Academic Majority
Training for Employment, College of Education, The Ohio State University, Columbus, OH, 1997.[28] D. M. Domenico and K. H. Jones, “Career aspirations of women in the 20th century,” J. Career Tech. Educ., vol. 22, no. 2, pp. 1–7, 2006.[29] K. G. Schaefers, D. L. Epperson, and M. M. Nauta, “Women’s career development: Can theoretically derived variables predict persistence in engineering majors?,” J. Couns. Psychol., vol. 44, no. 2, pp. 173–183, 1997.[30] N. Dasgupta, M. McManus Scircle, and M. Hunsinger, “Female peers in small work groups enhance women’ s motivation, verbal participation, and career aspirations in engineering,” Proc. Natl. Acad. Sci., vol. 112, no. 16, pp. 4988–4993, 2015.[31] J. L. Rosenbloom, R. A. Ash, B
resource allocation, workforce planning, and logistics and dis- tribution. She was awarded a B.S., M.Eng, and Ph.D. all in Industrial Engineering, from the University of Louisville, J.B. Speed School of Engineering. Her doctoral work focused on the development of the LoDI Index, which is released by the Logistics and Distribution Institute at the University of Louisville every month. The index is also featured in the FRED report and is utilized by various national corporations each month. Dr. Gerber is a member of Golden Key International Honours Society, the Institute of Industrial and Systems Engineers, and the Society of Women Engineers. She also serves as the faculty advisor for the UofL student chapter of IISE.Dr
Georgia Is a lecturer in the School of Electrical and Computer Engineering in the College of Engineering. He has published in the area of automatic control systems. His engineering educational research interests include undergraduate laboratory experience, remote labs, and advancing control theory in undergraduates.Mr. Allen V. Spain, University of Georgia Allen Spain Allen Spain is currently a M.S. Student in the School of Engineering with an Emphasis in Electrical and Computer Engineering at the University of Georgia. He specializes in electronic cir- cuit design, and is the SPOC Hardware Team Lead and is the electronic circuit designer for the UGA Small Satellite Laboratory. He is currently a Research Assistant at
Paper ID #25863Participation in Small Group Engineering Design Activities at the MiddleSchool Level: An Investigation of Gender DifferencesJeanna R. Wieselmann, University of Minnesota Jeanna R. Wieselmann is a Ph.D. Candidate in Curriculum and Instruction and National Science Foun- dation Graduate Research Fellow at the University of Minnesota. Her research focuses on gender equity in STEM and maintaining elementary girls’ interest in STEM through both in-school and out-of-school experiences. She is interested in integrated STEM curriculum development and teacher professional de- velopment to support gender-equitable
National Science Foundation.References[1] Council of Graduate Schools, "Completion, PhD and Attrition: Analysis of Baseline Program Data from the Ph. D. Completion Project," ed: Washington, DC, 2007.[2] S. K. Gardner and K. A. Holley, "“Those invisible barriers are real”: The progression of first-generation students through doctoral education," Equity & Excellence in Education, vol. 44, no. 1, pp. 77-92, 2011.[3] Y. F. de Valero, "Departmental factors affecting time-to-degree and completion rates of doctoral students at one land-grant research institution," The Journal of Higher Education, vol. 72, no. 3, pp. 341-367, 2001.[4] B. Burt, A. S. McKen, J. A. Burkhart, J. Hormell, and A. J. Knight, "Racial
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Science Foundation under Grant No.EEC # 1623105. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References1. Colby, A. and W.M. Sullivan, Ethics teaching in undergraduate engineering education. Journal of Engineering Education, 2008. 97(3): p. 327-338.2. Newberry, B., The dilemma of ethics in engineering education. Science and Engineering Ethics, 2004. 10(2): p. 343-351.3. Pantazidou, M. and I. Nair, Ethic of care: Guiding principles for engineering teaching & practice. Journal of Engineering Education, 1999. 88(2): p. 205-212.4. Bielefeldt, A.R., et al. Effective Ethics
skills.References[1] J. M. Santiago and J. Guo, "Online Delivery of Electrical Engineering Courses Using the Online Flipped Classroom Approach," in 2017 ASEE Annual Conference & Exposition, Columbus, OHIO, 2017.[2] K. M. S.-L. J. R. Y. Andrea L. Welker, "Weaving Entrepreneurially Minded Learning Throughout a Civil Engineering Curriculum," in ASEE Annual Conference and Exposition, Columbus, Ohio, 2017.[3] S. E. Zappe, R. M. Leicht, J. Messner, T. Litzinger and H. W. Lee, "flipping" the classroom to explore active learning in a large undergraduate course, ASEE Annual Conference and Exposition, Conference Proceedings, 2009.[4] B. Kerr, "The flipped classroom in engineering eductation: A survey of research," in Internation Conerence on
Multidisciplinary Engineering Curriculum, Proceedings of ASEE Annual Conference and Exposition, 20183. J. Ross, K. Johnson, K. Varney, A Multidisciplinary Approach to Study Abroad, Proceedings of ASEE Annual Conference and Exposition, 20114. R. Harichandran, B. Kench, S. McGee, M. Collura, J. Nocito-Gobel, C. Skipton, Establishment of Innovative Shared Departments to Advance Interdisciplinary Education, Proceedings of ASEE Annual Conference and Exposition, 20175. J. Froyd, M. Ohland, Integrated Engineering Curricula, Journal of Engineering Education, January 2005, pp. 147-1646. L. Lattuca, D. Knight, H. Ro, B. Novoselich, Supporting the Development of Engineers’ Interdisciplinary Competence, Journal of Engineering Education, January 2017, Vol
, 2006.[2] J. Lave and E. Wenger, Situated learning: Legitimate peripheral participation, 1st ed. Cambridge: Cambridge University Press, 1991.[3] P. L. Berger and T. Luckmann, The social construction of reality: A treatise in the sociology of knowledge. New York: Doubleday, 1966.[4] F. Blackler, "Knowledge, knowledge work and organizations: An overview and interpretation," Organization Studies, vol. 16, pp. 1021-1046, November 1, 1995 1995.[5] B. A. Kriner, K. A. Coffman, A. C. Adkisson, P. G. Putman, and C. H. Monaghan, "From students to scholars: The transformative power of communities of practice," Adult Learning, vol. 26, pp. 73-80, 2015.[6] E. Wenger, Communities of Practice: Learning, Meaning
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metacognition,” 2003.[3] P. Redmond, J. Devine, and M. Basson, “Exploring discipline differentiation in online discussion participation,” Australas. J. Educ. Technol., vol. 30, no. 2, pp. 122–135, 2014.[4] A. Ahern, T. O’Connor, G. McRuairc, M. McNamara, and D. O’Donnell, “Critical Thinking in the University Curriculum--The Impact on Engineering Education,” Eur. J. Eng. Educ., vol. 37, no. 2, pp. 125–132, 2012.[5] C. B. Macknight, “Teaching Critical Thinking through Online Discussions,” Educ. Q., vol. 4, pp. 38–41, 2000.[6] D. R. Newman, B. Webb, and C. Cochrane, “A content analysis method to measure critical thinking in face-to-face and computer supported group learning Current approaches to evaluating
process, b) improve student and project quality, c)encourage students to do more engineering and less crafting, and d) assess each studentenrolled. Any changes needed to be done in such a way as to work for all the different types ofprojects, to be possible with 300+ students, and to not burden project advisors. In other words,centralized requirements were needed, and our effort to implement them is described next.Starting in Fall 2018, the students and teams were required to participate in the activities shownin Table 1, which details the individual and team-based activities and whether these activitiescontribute to learning about or practicing the design process, analytical skills, teaming, orcommunication skills. The most notable change was
); CVLE2710:Numerical Methods for Engineers and ENGR3160:Fluid Mechanics taughtduring Spring 2016, and ENGR2120:Engineering Statics taught during Fall 2016. These coursesare referred to as Numerical, Fluids and Statics respectively throughout this paper. Classdays/duration, enrollment and grading weights of these courses are listed in Table 1.All three courses were taught in an identical flipped format that required pre-class, in-class, andpost-class work as shown in Figure 1 for almost every class (exceptions were the first class of thesemester and some classes following the tests). Students (a) watched pre-class videos and solvedpre-class problems before attending a class (these were their pre-class activities), (b) startedsolving in-class problems
. Deviation A. The professor is interesting and brings the material to Cohort 1 266 4.09 1.02 *** life Other Faculty 658 3.17 1.50 B. The professor is accessible outside the classroom Cohort 1 267 4.23 0.83 *** Other Faculty 660 3.62 1.05 C. The professor makes it easy to get a good grade in this Cohort 1 267 3.52 1.07 *** class Other Faculty 660 3.14 1.28 D. It is clear to me how this course is related to my other Cohort 1 267 4.00 1.06 *** courses