< 0.001 .979 3556.083 1.000 Lab 605.204 1 605.204 4.748 0.032 .057 4.748 .576 PPE 173.899 1 173.899 1.364 0.246 .017 1.364 .211Lab * PPE 307.181 1 307.181 2.410 0.125 .030 2.410 .335 Error 9943.074 78 127.475 Total 515395.000 82 Corrected 11345.720 81 Totala. R Squared=0.124 (Adjusted R Squared=0.090)b. Computed using alpha=0.054.6 Results of Factorial ANOVAFrom Table 3, we see that the interaction of lab enrollment by prior programming experience isnot statistically significant, but there is a statistically significant main effect for lab enrollment(F=4.748, df=1, 78, p=0.032). Effect z is very small for
recommendations expressed in thispaper are those of the writers and do not necessarily reflect the views of NSF.References[1] M. Y. Bin Yahya, Y. Lee Hui, A. B. M. Yassin, R. Omar, R. O. anak Robin, and N. Kasim, “The Challenges of the Implementation of Construction Robotics Technologies in the Construction,” MATEC Web Conf., vol. 266, p. 05012, 2019.[2] S. S. J. manyika, S. Lund, M. Chui, J. Bughin, J. Woetzel, P. Batra, R. Ko, “Jobs lost, jobs gained: Workforce transitions in a time of automation,” 2017.[3] K. Afsari, S. Gupta, M. Afkhamiaghda, and Z. Lu, “Applications of Collaborative Industrial Robots in Building Construction,” 54th ASC Int. Conf. Proc., no. August, 2018.[4] A. Jayaraj and H. N. Divakar, “Robotics in
/ English/crossculturalteamwork_000.pdf Accessed Jan. 27, 2020.[30] Egea, K., S.-K. Kim, T. Andrews, K. Behrens. 2010. Approaches used by cross-cultural and cross-discipline students in teamwork for a first-year course in web design. Proc. 12th Australasian Computing Education Conference, Brisbane AU. 10 pp.[31] Gomez, C. 2003. The relationship between acculturation, individualism/collectivism, and job attribute preferences for Hispanic MBAs. Journal of Management Studies, 40 (5), 1089-1105.[32] Romero, E.J. 2004. Hispanic identity and acculturation: implications for management. Cross Cultural Management, 11(1), 62-71.[33] Beigpourian, B., M.W. Ohland, D.F Ferguson. 2019. The influence of percentage of female or international
. Aidoo, “Introducing Sustainable Design Principles in Freshman CivilEngineering Design,” in ASEE Annual Conference, Atlanta, GA, USA, June 23 – 26, 2013.[6] E.R. Brown, D. B. Thomas, J. L. Smith and A. B. Dieckman, “Closing the communal gap:The importance of communal affordances in science career motivation,” Journal of AppliedSocial Psychology, Vol 45, Issue 12, December 2015, pp 662-673.[7] K.L. Boucher, M.A. Fuesting, A. B. Diekman and M.C. Murphy, “Can I work with and helpothers in this field? How communal goals influence interest and participation in STEM fields,”Frontier in Psychology, Vol 8, Issue May, Article 901, May 2017.[8] M. D. Blevins and SJ. Burian, “Analysis of the sustainability culture in civil andenvironmental engineering and
. R. Raman, “Why they leave: Understanding student attrition from engineering majors,” International Journal of Engineering Education, vol. 29, no. 4, p. 914, 2013. [3] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, engagement, and migration in engineering programs,” Journal of Engineering Education, vol. 97, no. 3, pp. 259–278, 2008. [4] G. Zhang, T. J. Anderson, M. W. Ohland, and B. R. Thorndyke, “Identifying factors influencing engineering student graduation: A longitudinal and cross-institutional study,” Journal of Engineering education, vol. 93, no. 4, pp. 313–320, 2004. [5] M. McVey, C. Bennett, and A. F. Greenhoot, “Impact of an embedded expert model on
,” Psychol. Rev,vol 84, no 2, pp. 191–215, 1977.Appendix A: Design QuizBME Engineering Design Module – Design Quiz1. Draw a classic waterfall diagram that describes the engineering design process, identifying the key design phases, activities, and the relationships between them. (3 pts)2. What are the characteristics of a well written design requirement? (1 pt)3. Within the context of engineering design, define constraint. (1 pt)4. Within the context of engineering design, define specification. (1 pt)5. Tests that provide objective evidence that specified requirements have been fulfilled. The statement above best defines: (1 pt) a. Verification Testing b. Validation Testing c. Both d. Neither6. A trace matrix summarizes: (1
Paper ID #30280Industrializing Your Web Application Development ProjectDr. Gregory Kulczycki, Virginia Tech Dr. Kulczycki has extensive experience in research and development both in academia and industry. He received his doctorate from Clemson University in 2004 and began working as a professor at Virginia Tech shortly thereafter. In 2011 he went to work for Battelle Memorial Institute as a cyber research scientist, while continuing to be involved in teaching. He is currently back in the computer science department at Virginia Tech as a professor of practice, where he teaches, designs courses, and develops online
standards, financial management, business conduct, leadership,communication, etc…. Early in the semester, the students were asked to update, peer review, andsubmit copies of their resume as an assignment. Under the auspices of “another resume exercise,”in opening to a lecture on diversity and inclusion, the author provided each student in attendanceone of two resumes. The resumes, provided in Appendices A & B, were developed to reflectexperiences familiar to students at the author’s institution, and were identical with the exceptionof utilizing a traditionally female vice traditionally male first name. The resumes were distributedto students in attendance randomly. Students were given approximately 5-10 minutes to reviewthe resume then, using
5050 course and be currently part of the minor.References[1] R. B. Freeman and W. Huang. "Collaboration: Strength in diversity." Nature News 513, no. 7518(2014): 305.[2] Freeman, Richard B., and Wei Huang. "Collaborating with people like me: Ethnic coauthorship withinthe United States." Journal of Labor Economics 33, no. S1 (2015): S289-S318.[3] Sommers, Samuel R. "Race and the decision making of juries." Legal and Criminological Psychology12, no. 2 (2007): 171-187.[4] Dezsö, Cristian L., and David Gaddis Ross. "Does female representation in top management improvefirm performance? A panel data investigation." Strategic Management Journal 33, no. 9 (2012): 1072-1089.[5] Dezső, Cristian L., and David Gaddis Ross. "‘Girl Power’: Female
b) Prepare the materials and tools required for the implementation of the meeting c) Detailed instructions for the construction assignments of the meeting d) Leading questions for the development of the flow of the meeting e) Proposed time table for the development of the activities of the meeting and the sequenceTo complement the lesson plans, Scientists for Tomorrow developed a library of video tutorialsfor each module. The video tutorials serve as a refresher for the instructor. They included theContent Knowledge of a topic of the module. Also, the video tutorials serve as a guide to reviewthe processes applied in the building of the module’s artifacts. These video-tutorials are not adigital version of the instructor, just
Paper ID #31333Work in Progress: Project and Design-Based Introductory EngineeringCourse using Arduino KitsDr. Demetris Geddis, Hampton University Demetris L. Geddis is an associate professor and Chair of Electrical and Computer Engineering at Hamp- ton University. He has extensive research experience in the areas of Integrated optoelectronics, Optics, Microelectronics, and Electromagnetics. He has worked as a Research and Design Engineer at Motorola and Bell laboratories. Also, he worked at NASA Langley Research Center as a NASA faculty fellow for the Nondestructive Evaluation Sciences Branch where he performed research
,” Cogn. Sci., vol. 35, no. 5, pp. 997–1007, 2011.[3] M. Alfano, A. Higgins, and J. Levernier, “Identifying Virtues and Values Through Obituary Data-Mining,” J. Value Inq., vol. 52, no. 1, pp. 59–79, 2018.[4] S. J. Kulich and R. Zhang, “The multiple frames of ‘Chinese’ values: From tradition to modernity and beyond,” in Oxford Handbook of Chinese Psychology, M. H. Bond, Ed. Oxford: Oxford University Press, 2012, pp. 241–278.[5] J. Graham, B. A. Nosek, J. Haidt, R. Iyer, S. Koleva, and P. H. Ditto, “Mapping the Moral Domain,” J. Pers. Soc. Psychol., 2011.[6] J. Graham, J. Haidt, M. Motyl, P. Meindl, C. Iskiwitch, and M. Mooijman, “Moral Foundations Theory: On the Advantages of Moral Pluralism over
systemworks rather than how it is put together. For unit 1 students create an 11”x17” poster or displayto visually describe how a structural or mechanical system works. For unit 2 students create abrochure to visually describe how an electrical or energy system works. For unit 3 studentscreate an animation that is based on sketches to visually describe how a biomedical or roboticdevice works. Finally, for unit 4 students may choose both the medium and the type ofengineered system for their final project display, which is shared publicly at an end of the termevent attended mainly by others in the engineering department.The rubric used to evaluate the projects is given in Appendix B. Students are evaluated based on5 separate categories: Focus
planning to seek employment after you leave college? Yes, No, Undecided as yet 2 If you are planning to work, what is your reason for doing so? (a) Economic necessity, (b) The family expects it, (c) To attain personal independence, (d) To secure luxuries that could not otherwise be had, (e) To have something to do, (f) To achieve professional success (to have the mental stimulus of accomplishing something), (g) Other reasons 3 Have you decided what work you want to do or at least in what general field of work you wish to be? Yes, Some idea but not definitely decided, No 4 How did you choose your career? (a) Liking for the field, (b) A brother or a sister or another close
/blended (B), or passive/traditional lecture (L).Each student was assigned a random 4-digit personal code at the start of the term by one of theco-investigators. The Qualtrics surveys pushed identified attendance points to Canvas [30], butthe actual survey responses were stored by the 4-digit personal code without personal identifiers,and the personal codes were never disclosed to the instructor. Thus, the instructor was able toview survey results and respond to student concerns and motivations throughout the semesterwhile maintaining the anonymity of the students’ responses.Increasing students’ understanding of motivation and learning styles was one of the courseobjectives. The four types of motivation measured in the SIMS surveys were presented
Innovation, Ithaca, Fontainebleau, and Geneva. p. 205.[3] Mckeown, M. (2014). The innovation book: how to manage ideas and execution for outstanding results. FT Press, p. xxvii.[4] Schubert, K. D., Massey, L. B., & Ellstrand, A. E. (2019) Expanding and Evolving an Innovation Concentration. 2019 ASEE Annual Conference & Exposition. Tampa, FL USA. https://peer.asee.org/32787[5] National Science Foundation. (2018). Building the Future: Investing in Discovery and Innovation. Strategic plan for 2018-2022. https://nsf.gov/pubs/2018/nsf18045/nsf18045.pdf, accessed: February 7, 2020.[6] Brown, K.W. & Ryan, R.M. (2003). The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality
frameworks for designing and assessing STEM lessons to support K-12 science teachers.Dr. JinA Yoon, Pusan National UniversityDr. Jeanna Wieselmann, Southern Methodist University Dr. Jeanna R. Wieselmann is a Research Assistant Professor at Southern Methodist University in Dal- las, TX. Her research focuses on gender equity in STEM and maintaining elementary girls’ interest in STEM through both in-school and out-of-school experiences. Dr. Wieselmann’s research has explored student participation patterns in small group STEM activities. She is interested in STEM schools, inte- grated STEM curriculum development, and teacher professional development to support gender-equitable teaching practices. c
the control and experimental sections who were at least 18 years of ageat the beginning of the term were invited to participate in this study. Data used were obtainedfrom three online surveys: a personal information questionnaire developed by course instructors,and pre/post-course surveys developed by the authors. For the Fall 2019 quarter, a total ofapproximately 140 students were invited to complete the surveys (described below).Researchers obtained 119 responses for the personal information questionnaire (Appendix A), 57responses for the pre-course survey (Appendix B), and 56 responses for the post-course survey(Appendix C). Researchers collected demographic information only on the post-course survey.Those respondents identified as white
populations: results from the healthy minds study,” Journal of Mental Health, vol. 27, no. 1, pp. 205-213, 2018.[3] S. Lipson, S. Zhou, B. Wagner, K. Beck, and D. Eisenberg, “Major Differences: Variations in Undergraduate and Graduate Student Mental Health and Treatment Utilization Across Academic Disciplines,” Journal of College Student Psychotherapy, vol. 30, no. 1, pp.23- 41, 2015.[4] H. Anttila, S. Lindblom-Ylänne, K. Lonka, & K. Pyhältö, “The Added Value of a PhD in Medicine--PhD Students' Perceptions of Acquired Competences,” International Journal of Higher Education, vol. 4, no. 2, pp. 172-180, 2015.[5] M. Schmidt and E. Hansson “Doctoral students’ well-being: a literature review
should highlight the student outcomes most needing improvement instudent learning. The aggregated data may be compared against a predetermined threshold, ifone is used; but the focus is on the attainment levels. Using aggregated data allow determinationof where continuous improvement actions may be most effective.If a program chooses to assess and evaluate its student outcomes across a two-year cycle, it islogical that student outcomes assessed in each academic year should be evaluated and consideredfor improvement actions that year. Alternatively, a program may have five student outcomes anda process to assess those outcomes over a three-year period (e. g., outcome A in year one,outcomes B and C in year two, and outcomes D and E in year three
three shown in Figure 2. This includes using the surface model of a product as a starting point to model a tool such as the calculator face mold shown in Figure 2(c). For composites design, modeling and analysis, a simple springboard is used. Though obviously trivial from a modeling perspective, the challenge students face is in redistributing material from a constant thickness design to meet a stiffness constraint with the objective of weight reduction. The Grid Design Method provided by the Composites Design App allows varying material thicknesses and ply sequences to be specified over a grid laid out on the surface (see Figure 3(a)) which is optimized into a ply lay-up (Figure 3(b)). The model is simple enough that it
Community of Practice in a New Engineering Program,” 2017.[10] B. D. Jones, M. C. Paretti, S. F. Hein, and T. W. Knott, “An Analysis of Motivation Constructs with First-Year Engineering Students: Relationships Among Expectancies, Values, Achievement, and Career Plans,” J. Eng. Educ., vol. 99, no. 4, pp. 319–336, 2010.[11] J. P. Gee, “Chapter 3: Identity as an Analytic Lens for Research in Education,” Rev. Res. Educ., vol. 25, no. 1, pp. 99–125, 2000.[12] S. Sassi, A. Clark, J. Petrie, R. L. Kajfez, and M. J. Mohammadi-Aragh, “WIP: Initial Interviews to Understand the Formation of Engineering Communities of Practice and Identity during the First Year,” in ASEE Annual Conference and Exposition, Conference
] C. C. Ching, J. A. Levin, and J. Parisi, “Classroom Artifacts: Merging the Physicality, Technology and Pedagogy of Higher Education,” Education, Communication & Information, vol. 4, no. 2-3, pp. 221-235, 2004.[13] A. Johri and B. M. Olds, “Situated Engineering Learning: Bridging Engineering Education Research and the Learning Sciences,” Journal of Engineering Education, vol. 100, no. 1, pp. 151-185, 2011.[14] C. Milne, “The Materiality of Scientific Instruments and Why It Might Matter to Science Education,” in Material Practice and Materiality: Too Long Ignored in Science Education, C. Milne and K. Scantlebury, Eds. Cham: Springer International Publishing, 2019, pp. 9-23.[15] L.S. Vygotsky, Mind in
Paper ID #29629Impacts of the National Science Foundation-funded Mentor-Connect Projecton Two-Year CollegesMs. Elaine L. Craft, Florence-Darlington Technical College Elaine L. Craft (Florence-Darlington Technical College, Florence, SC-retired) holds a baccalaureate de- gree in chemical engineering from the University of Mississippi and a MBA from the University of South Carolina with additional graduate studies in mathematics at Francis Marion University. Her experience includes working as an engineer in industry as well as teaching and administration at community col- lege and state levels. She served as Director of the
- based approach to increasing participation of women in engineering. Journal of Women and Minorities in Science and Engineering, 20(3).Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners. Journal of engineering education, 96(4), 359-379.Capobianco, B. M., Diefes-dux, H. A., Mena, I., & Weller, J. (2011). What is an engineer? Implications of elementary school student conceptions for engineering education. Journal of Engineering Education, 100(2), 304-328.Chiu, J.C., McElhaney, K.W., Zhang, N., Biswas, G., Fried, R., Basu, S., & Alozie, N. (2019, April). A Principled Approach to
Paper ID #28744MESA Center Promoting Technical LiteracyDr. Dan G. Dimitriu, San Antonio College Dan G. Dimitriu has been practicing engineering since 1970 and taught engineering courses concurrently for more than 20 years at various institutions. In 2001, he joined San Antonio College full-time as the Coordinator of its Engineering program. He has been involved with several engineering societies and became a member of the Two-year College Division of ASEE in 2002. His research interests are in engineering graphics, 3-D Visualization, fuel cells, plastics, and engineering education. He received the 2015 Presidential
assists the mechanicalengineering students in all three domains and to break the glass wall and become competentmechatronic engineers. To fulfil the need the aim and objectives were set in the following way:Aim:To provide the competence and confidence to (a) handle and explain mechatronic components,laboratory instruments and measurement systems, (b) carry out time and frequency responseanalyses, (c) differentiate analog and digital systems and (d) deal with microcontroller-basedexperimental applications, so that they can engage in the development of mechatronic systemwith the advanced courses to be studied later in the program.Objectives:The objectives of the course are to 1. Familiarize and consolidate the fundamental knowledge with hands-on
, several active learning strategies and support tools were implemented to improvestudent success. The breakdown of sections of the course that were included in the study can befound in Table 1. We will look at the student results across all sections for this paper.Table 1. Course summary for the semesters included in the study Students Study Semester Section Instructor Enrolled Participants % A - 001 Instructor 1 96 41 42.71% Fall 2017 B - 004 Instructor 2 63 23 36.51% C - 001 Instructor 2 43
Paper ID #30194Curriculum Development for Robotics Technology ProgramDr. Sanjeevi Chitikeshi Dr. Sanjeevi Chitikeshi is an Assistant Professor in Electrical Engineering Technology program at Old Dominion University, Norfolk, VA. Prior to current position, he worked at Murray State University, Mur- ray, KY and also as a control engineer in industry in California. He earned both his Masters and Ph.D in Electrical and Computer Engineering from Sothern Illinois University, Carbondale, IL, in 2004 and 2007 respectively. His research interests are in Mechatronics systems, Big Data Analysis, Smart instrumenta- tion and
Engineering Education (ASEE) Annual Conference and Exposition, 2015, pp. 26-1716. [8] E. Buehler, S. Grimes, S. Grimes, and A. Hurst. “Investigating 3D printing education with youth designers and adult educators,” in Proc. of FabLearn’15. [9] A. Krishnamurthi, M. Ballard, G. G. Noam. (2014). “Examining the Impact of Afterschool STEM Programs. Noyce Foundation.” https://files.eric.ed.gov/fulltext/ED546628.pdf[10] B. Fishman, R. Marx, S. Best, R. Tal. (2003). “Linking teacher and student learning to improve professional development in systemic reform,” Teaching and teacher education. 19, 643-658.[11] M. S. Garet, A. C. Porter, L. Desimone, B. F. Birman, and K. S. Yoon. (2001) “What Makes Professional Development Effective? Results