this method of delivery with the other partner schools.References 1. Adapting Tested Spatial Skills Curriculum to On-Line Format for Community College Instruction: A Critical Link to Retain Technology Students (HRD# 1407123) was funded by the National Science Foundation (NSF) in July of 2014. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F
assessmentof the first year of the program. The students were carefully and closely mentored by aninterdisciplinary team of faculty members from various departments within the Colleges ofEngineering and Science. The participating students learned to use computational tools needed toengage in multidisciplinary UAV research projects. They learned to do the scientific literaturereview, and had an opportunity to improve written and oral communication skills. Theparticipants were required to present a poster, give an oral presentation of the research, and submitabstract (s) to student and/or professional conferences. In addition, the students participated in aseries of research symposium and seminars designed to expose them to a range of research topics
TechnologyAbstractThis paper introduces two scholarship projects funded by the National Science Foundation thatfocus on students who transfer at the 3rd year level from 2-year schools to the engineering andengineering technology BS programs at our university. The objectives of both the projects are:(i) to expand and diversify the engineering/technology workforce of the future, (ii) to developlinkages and articulations with 2-year schools and their S-STEM programs, (iii) to provideincreased career opportunities and job placement rates through mandatory paid co-opexperiences, and (iv) to serve as a model for other universities to provide vertical transferstudents access to the baccalaureate degree.The Transfer Pipeline (TiPi) project awarded 25 new scholarships
Year Summer Experience (FYSE) program is a three-week residential summerorientation program focused on the development and strengthening of math-intensiveengineering problem solving skills. All new students offered admission to the School ofEngineering and students who applied to engineering but were instead admitted to the Divisionof Letters and Sciences (L&S) were invited to participate in the program. Recruitment andselection of participants is geared toward inclusion of women, racial/ethnic minorities, first-generation college students, and engineering admits with relatively weak mathematicspreparation. Approximately 40-60 first-year students participate in the program each summer.The participants are required to live in the provided
each year were surveyed. Participants were also asked for their CEE preferencessuch as which types of courses (technical, management, EH&S, legal, other) they would prefermore of and what was their preferred delivery format (face to face, hybrid, online). Thisinformation should be invaluable to those developing curricula and designing and deliveringcontinuing professional development for engineers.IntroductionThe need for CEE has been well-documented [1]. Continuing education is critical for workingengineers because of the breadth of processes and equipment they design and use and because ofrapid changes in technology [2]. For example, plant engineers take courses to learn how tooperate different types of equipment specific to their
ProtocolThis conceptual model serves as the basis for a standardized classroom observation protocol thatwill be used to characterize instances of formative assessment. A diagram of the observationprotocol is shown in Figure 2. When a researcher using this protocol observes an instance offormative assessment, they first identify the type of formative assessment from among fouroptions: 1) instructor asks student(s) questions, 2), student asks instructor questions, 3) instructortalks with individual student or group, or 4) instructor implements writing-based formativeassessment. Then, the researcher chooses a response for each code (i.e. each colored box inFigure 2) describing the student and instructor behaviors in that type of formative assessment
V No. of equations E V – E = degrees of freedom.A point has no freedom. The intersection of 3 equations in 3 variables might consist of isolatedpoints. A curve has one degree of freedom. From any particular point one can move onlyforward or backward. The coordinates of the points on a space curve can all be described asfunctions of one variable, say t for time or s for distance from an origin. The parametric form ofa space curve is then; x = f(t) y = g(t) z = h(t) .The number of variables less the number of equations above, 4 – 3 yields one degree
Academy of Engineering, Committee on Public Understanding of Engineering Messages, Changing the Conversation: Messages for Improving Public Understanding of Engineering. Washington, D.C.: National Academies Press, 2008.[4] National Governors Association Center for Best Practices, Council of Chief State School Officers, Common Core State Standards for English Language Arts & Literacy in History/Social Studies, Science, and Technical Subjects. Washington D.C.: National Governors Association Center for Best Practices, Council of Chief State School Officers, 2010.[5] C. Anderson, “Perspectives on Science Learning,” in Handbook of Research in Science Education, S. K. Abell and N. Lederman, Eds. Mahwah, N.J.: Lawrence Erlbaum
within the College.ReferencesFletcher, S. L., Newell, D. C., Newton, L. D., & Anderson-Rowland, M. R. (2001, June). The WISE summer bridge program: Assessing student attrition, retention, and program effectiveness. In Proceedings, American Society for Engineering Education.May, G. S., & Chubin, D. E. (2003). A retrospective on undergraduate engineering success for underrepresented minority students. Journal of Engineering Education, 92(1), 27-39.Peuker, Steffen, (2017). Improving Student Success and Retention Rates in Engineering: A Four- Year Longitudinal Assessment of the DYP Program. In American Society for Engineering Education. American Society for Engineering Education.Science & Engineering
distribution of years at the institution in required upper-level courses. Many students at thisinstitution engaged in cooperative education, and this participation helps account for the studentswho had beyond four years of enrollment. A total of 129 students indicated that they were male(56.7%), 45 students indicated that they were female (19.7%), three students indicated that theywere a non-binary gender (1.3%), and the rest preferred not to answer. Students were also askedto report their self-identified race and/or ethnicity. A total of 141 students indicated they werewhite (49.0%), two students indicated that they were Black or African-American (0.9%), 15students indicated that they were Asian (6.6%), one student indicated that s/he was
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Student Group PortfoliosFigure 5. Overall Rankings for Student Portfolios and Rankings by Students, Instructors, and Practicing Engineers Notably, group 5’s work was ranked #1 by practicing engineers and #2 by students butdid not make the top-ten for instructors while group 6’s work was ranked very similarly by allthree groups. Group 19 was ranked #1 by the instructors, #3 by the students, but did not makethe top-ten for industry members while group 18 was ranked almost identically by all threegroups. These similarities and stark differences in perceptions of comparative quality
, thinking, and interdisciplinary capabilities. Attitude proficiencies included themotivation required to be successful in the course, the student’s belief about their capability to besuccessful and achieve the course goal, and their ability to work with ideas that challenge theircurrent mental models of the world. After developing the learning proficiencies, course developerssorted them into early, middle, and late proficiencies. The timing did not necessarily correspondwith the timeline students would learn the material, but focused primarily on the sequence. Table1 summarizes the learning proficiencies. (K=knowledge, S=skill, A=attitude) Stage Category Proficiency K …know and apply sustainability principles
motivation and positive engagement [11], [28]-[30]. Onthe contrary, controlling teacher behaviors have been shown to lead to negative motivation typesand restricted engagement [31], [32]. Using structural modeling, Fortier et al. (1995) demonstratethe positive influence of perceived competence and self-determination on autonomousmotivations and academic performance [7]. Greene et al. (2004) illustrate linkages betweenautonomy support and self-efficacy, mastery goals, strategy use, and achievement [33]. Walkeret al.’s path model shows that self-efficacy and intrinsic motivation can predict meaningfulcognitive engagement, while extrinsic motivations predict shallow cognitive engagement [8].Although empirical research that directly links different
University. I have over 25 years of teaching and research experience and over ten years of industrial experience. c American Society for Engineering Education, 2018 Product Lifecycle Management Scholarship ProgramAcknowledgement. This material is based upon work supported by the National ScienceFoundation under Grant No. 1060160.Introduction.The Product Lifecycle Management (PLM) Scholarship Program is supported by a NationalScience Foundation Scholarships in STEM (S-STEM) grant. The goal of the S-STEM programis to provide academically sound, but financially challenged, students with the means to enroll asfull-time students at Oakland University in the fields of Industrial and Systems Engineering
rubrics have been tested. Discipline Course Level Institution Class Pedagogy Type Size Biology/Health Introductory, RU, CU M, L, Case Study, Lecture, Lab, Sciences Intermediate, XL Peer Instruction, POGIL, Advanced Other Chemistry Introductory, RU, PUI S, M, Case Study, Lecture, Lab, Intermediate, L, XL PBL, Peer Instruction, Advanced
study the effectiveness of this approach and to develop arobust framework for assessing the direct impacts of these labs on choice of major.References[1] Carnasciali, M., Thompson, A., Thomas, T., “Factors influencing students’ choice ofengineering major” 120th ASEE Annual Conference and Exposition, (2013) 407-416[2] Haines, C. S., D Lima, M., Li, N., Spinks, G.M., Foroughi, J., Madden, J. D.W., Kim, S.H.,Oliver, R., Fang, S., Jung de Andrade, M., Göktepe, F., Göktepe, O., Mirvakili, S.M., Naficy, S.,Lepró, X., Oh, J., Kozlov, M.E., Kim, S.J., Xu, X., Swedlove, B.J., Wallace, G.G. andBaughman, R.H., “Artificial Muscles from Fishing line and Sewing Thread” Science, Vol. 343,(2014) pp. 868-872[3] Edwards, R., “The Role of Laboratory Work in
workers into the US creates incentives to displace workerswho are born in the US [2], [3]. Many others believe that we should concentrate on urging andsupporting schools to increase the interest of their students in STEM, and colleges anduniversities to increase the number of students who not only major in STEM fields but alsocomplete degree programs in those fields [4].The National Science Foundation (NSF), for example, is working with colleges and universitiesto help increase the number of American students who complete their STEM degrees at alllevels. One program that illustrates this effort is the NSF Scholarships in Science, Technology,Engineering, and Mathematics Program (NSF S-STEM). This program seeks: “ 1) to increasethe number of low
] to support instructors as they learned about and implementedresearch-based interactive teaching strategies. The structure of these learning communities isdescribed in more detail in the next section. A main element of the communities is thatparticipants were asked to select a research-supported interactive teaching strategy to implementin the course(s) they taught. The learning community served as a forum for gaining ideas ofpossible strategies, as well as for sharing plans and results and receiving informal feedback andsupport on both. Rather than adopting particular prescribed strategies, participating facultyidentified strategies that were of interest to them and/or addressed a challenge they were facingin their course(s). Hence, we are
Technology (PCAST. ) “Transformation and opportunity: The future of the U.S. research enterprise”, Report to the President, 2012.[5] C. Wendler, B. Bridgeman, R. Markle, F. Cline, N. Bell, P. McAllister and J. Kent. Pathways Through Graduate School And Into Careers. Princeton, NJ: Educational Testing Service, 2012.[6] H. S. Barrows, Practice-Based Learning: Problem-Based Learning Applied To Medical Education. Springfield, IL: Southern Illinois University, 1994.[7] H. S. Barrows, How To Design A Problem-Based Curriculum For The Preclinical Years. New York, NY: Springer, 1985.[8] I. Choi, Y. C. Hong, H. Park, and Y. Lee, “Case-based learning for anesthesiology: Enhancing dynamic decision-making skills through
and time on task can be tracked. A survey is beingdeveloped to determine the effectiveness of these web-based multimedia pre-labs throughstudent perceived learning and motivation.AcknowledgmentThis research was supported by the Social Sciences and Humanities Research Council of CanadaScholarship.References[1] S. Chen, "The view of scientific inquiry conveyed by simulation-based virtual laboratories", Computers & Education, vol. 55, no. 3, pp. 1123-1130, 2010.[2] J. Ma and J. Nickerson, "Hands-on, simulated, and remote laboratories", ACM Computing Surveys, vol. 38, no. 3, p. 7-es, 2006.[3] D. Jolley, S. Wilson, C. Kelso, G. O’Brien and C. Mason, "Analytical Thinking, Analytical Action: Using Prelab Video Demonstrations and e-Quizzes
theperception of stress as part of engineering culture stress perception can also attract more studentsfrom marginalized groups.References1 Schneider, L. in A Paper Presented at St. Lawrence Section Conference. Toronto, Canada. Retrieved from: www. asee. morrisville. edu.2 Ross, S. E., Niebling, B. C. & Heckert, T. M. Sources of stress among college students. Social psychology 61, 841-846 (1999).3 Goldman, C. S. & Wong, E. H. Stress and the college student. Education 117, 604-611 (1997).4 Hudd, S. S. et al. Stress at college: Effects on health habits, health status and self-esteem. College Student Journal 34, 217-228 (2000).5 Macgeorge, E. L., Samter, W. & Gillihan, S. J. Academic Stress
students discussed whichfoot type to use for the foot adaptation component of the survival suit design. The first instanceof EBR stated by Sean was also coded functionality because he explicitly referred to hisknowledge that human feet would work in the snowy conditions. The second instance of EBRwas coded technology, since Samuel justified his counterargument by referring to an existingtechnology, shoes. He used his prior knowledge about existing technologies to point out a flaw inhis teammate’s argument that human feet would be the best option for the survival suit.Example related to colors and camouflageIn addition to the choice of the survival suit covering material, students also had to choose whichcolor(s) to make the exterior of their suit
Understanding These Four Types of Mistakes Can Help Us Learn’ [21]. Write a short summary of each of the four kinds of mistakes. Which kind(s) do you make most often? Which kind do you think you are most likely to make it MSE 308?” ● As part of their weekly homework in week 9, students were asked, “Review the article ‘Why a Growth Mindset is Essential For Learning’ [22]. Which parts of the article resonate with you? Why? Has you approach to learning evolved in MSE 308 toward more of a growth mindset? Do you have ideas for things to try over the rest of the semester (or in future classes)?” ● As part of their weekly homework in week 13, students were asked, “Read the article ‘Forget Talent’ [23]. Which
switched for Workshop 2 such that the participants will complete 8 CADmodules first and then the 4 origami modules. Workshop 3 will consist of 12 origami modules andWorkshop 4 will consist of 12 CAD modules with each module increasing in complexity anddifficulty. All 4 workshops will be deployed in Fall 2018 to first-year female engineering student. Itis estimated that there will be 50 - 75 participants in each workshop cohort.References [1] M. S. Khine, Visual-spatial Ability in STEM Education. Switzerland: Springer International Publishing, 2016. [2] M. C. Linn and A. C. Petersen, “Emergence and characterization of sex differences in spatial ability: A meta-analysis,” Child development, vol. 56, no. 6, pp. 1479–1498, 1985. [3] G. Park, D
Christian College. Her research interest revolves around technology innovations in education, software estimation, software design and curriculum design of software engineering course(s).Dr. Muhsin Menekse, Purdue University, West Lafayette Muhsin Menekse is an Assistant Professor at Purdue University with a joint appointment in the School of Engineering Education and the Department of Curriculum & Instruction. Dr. Menekse’s primary research investigates how classroom activities affect conceptual understanding in engineering and science for all students. His second research focus is on verbal interactions that can enhance productive discussions in collaborative learning settings. And his third research focus is on
extracurricular project-based experiential learning,” in 2017 ASEE Annual Conference & Exposition, 2017. [2] E. Wenger, Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press, 1998. [3] A. Ostrowski, J. Lee, S. Daly, A. Huang-Saad, and C. Seifert, “Design in biomedical engineering: Student applications of design heuristics as a tool for idea generation,” in 2017 ASEE Annual Conference & Exposition, 2017. [4] R. M. Miller, S. Maiti, and M. E. Besterfield-Sacre, “Effect of a project-based learning activity on student intrinsic motivation in a biomechanics classroom,” in 2017 ASEE Annual Conference & Exposition, 2017. [5] J. Parry-Hill, P. C. Shih, J. Mankoff, and D. Ashbrook, “Understanding
STEM Career Choices: Using Expectancy-Value Perspective to Understand Individual and Gender Differences in STEM Fields," Developmental review : DR, vol. 33, no. 4, p. 10.1016/j.dr.2013.08.001, 09/13 2013.[4] D. B. Clark, E. E. Tanner-Smith, and S. S. Killingsworth, "Digital Games, Design, and Learning:A Systematic Review and Meta-Analysis," Review of Educational Research, vol. 86, no. 1, pp. 79-122, 2016.[5] C. S. Green and D. Bavelier, "Action-Video-Game Experience Alters the Spatial Resolution of Vision," Psychological science, vol. 18, no. 1, pp. 88-94, 2007.[6] N. Martín-Dorta, J. L. Saorín, and M. Contero, "Development of a Fast Remedial Course to Improve the Spatial Abilities of Engineering
cells to determine theeffectiveness of that source and the practical application of a combination of wind and solarpower for future use. The project enables pre-engineering and computer engineering students anopportunity for installation, maintenance, data gathering, and analysis during their first two yearsof engineering studies.Introduction The Science and Math (S&M) Department at xxxxxxxxx College is a typical two-yearcommunity college having pre-engineering classes such as Calculus, Statics, Dynamics, Strengthof Materials, Chemistry, Physics, and other early engineering offerings. With current interests inrenewable energy sources, the S&M Department decided that some additional emphasis on suchalternate power generation
/publications/tracking-transfer-institutional-state-effectiveness.html, 2016.6. T. Bailey, “Can community colleges achieve ambitious graduation goals?”, in Getting to Graduation: The Completion Agenda in Higher Education, A. P. Kelly & M. Schneider Eds. Baltimore, MD: The Johns Hopkins University Press, 2012, pp. 73-101.7. B. L. Yoder, “Engineering by the numbers,” American Society for Engineering Education, 2017.8. Bureau of Labor Statistics: U.S. Department of Labor, “Employed persons by detailed occupation, sex, race, and Hispanic or Latino ethnicity,” 2015. Available: http://www.bls.gov/cps/cpsaat11.htm.9. National Science Foundation, “How many S&E graduates attended community college?”, 2016. Available: http://www.nsf.gov/nsb
Paper ID #231132018 CoNECD - The Collaborative Network for Engineering and ComputingDiversity Conference: Crystal City, Virginia Apr 29How Making and Maker Spaces have Contributed to Diversity & Inclusionin Engineering: A [non-traditional] Literature ReviewAdam Stark Masters, Virginia Tech Adam S. Masters is a doctoral student and Graduate Research Assistant at Virginia Polytechnic Institute and State University. They received a B.S. in Mechanical Engineering from University of Delaware and are currently pursuing a Ph.D. in Engineering Education at Virginia Tech. Adam’s research interests include access, equity and social