value overall team/group work differently, or justinterdisciplinary teamwork. Thus, we anticipate that future analyses will support the initialpositive results shown by the perceived benefits to interdisciplinary teams as well as additionalstudent gains in self-efficacy, project competencies, and other design course objectives.References[1] S. McComb and J. Kirkpatrick. “Impact of pedagogical approaches on cognitive complexityand motivation to learn: Comparing nursing and engineering undergraduate students,” NursingOutlook, vol. 64, no. 1, pp. 37-48, Jan. 2016.[2] World Health Organization, Framework for Action on Interprofessional EducationCollaborative Practice. Geneva: World Health Organization, pp. 1–64, 2010.[3] M. Cox, P. Cuff, B. Brandt
concept(s)claimed. Unlike the real patent system, enforcement of patent claims was formally left to theinstructor. Typically, enforcement involved a quick meeting with the infringing team to find away to modify their idea so that it now fell into a useful gap in the other team’s patent claims.Teams who subsequently felt that their patent was being infringed upon were likewise brought infor a quick discussion to see how the other team’s idea fell into a gap in their claims. Having theclass patent system thus generated very effective discussions about what patent claims mean,how they work, and why they are written as they are. Class patent applications were submitted as a pdf file attached to an email to theinstructor. A sample patent
personological issues suggests thatgovernmental, industry, and educational stakeholders need to address the issue of a clearlystated, commonly used definition of AM to attract investors, recruit workforce participants, andguide effective educational opportunities.AcknowledgementThis work was supported, in part, by National Science Foundation award 1700581.References[1] B. Esmaeilian, S. Behdad, and B. Wang, "The evolution and future of manufacturing: A review," Journal of Manufacturing Systems, vol. 39, pp. 79–100, 2016.[2] P. Panchak, "The manufacturer's agenda: Why we need a better definition of 'advanced manufacturing'," Industry Week, November 14. [Online]. Available: https://www.industryweek.com/leadership/manufacturers
York, New York City College of Technology Prof. Yasar is currently working as an assistant professor in the Department of Mechanical Engineering Technology at City Tech. She is also the director of Research Laboratory SET – Scaffolds for Engineered Tissues. Her research interests are: - Design and Fabrication of Tissue Constructs - Bio-fabrication - Biomechanics - Soft lithography Techniques for Cell Micro-patterning - CAD/CAM ApplicationsDr. Andy Zhang, New York City College of Technology Dr. Andy S. Zhang received his Ph.D. from the City University of New York in 1995. He is currently the program director of a mechatronics project in the New York City College of Technology/CUNY. For the past 15 years, Dr. Zhang
American Association of Physics Teachers (AAPT) where he was vice president candidate, a member of the Committee on Research in Physics Education (RIPE) a member and chair of the International Education Committee and elected member of Leadership Organizing Physics Education Research Council (PERLOC ) in the period 2015-2018. c American Society for Engineering Education, 2019Students’ perception of teaching practice in an active learning environmentAbstractPhysics Education Research has been very active since the late 70’s trying to reduce the gapbetween what the instructor teaches and what the students learn. One of the most importantresults of that research is the design of educational strategies and
., Aragon, M. C., Suchard, M. R. & Hurtado, S. (2014). Undergraduate teaching faculty: The 2013–2014 HERI Faculty Survey. Los Angeles: Higher Education Research Institute, UCLA. Available: http://www.heri.ucla.edu/monographs/HERI-FAC2014- monograph.pdf[10] Prince, M. (2004). Does active learning work? A review of the literature. Journal of Engineering Education, 93(3), 223-231.[11] Borrego, M., Froyd, J. E., & Hall, T. S. (2010, July). Diffusion of engineering education innovations: A survey of awareness and adoption rates in U.S. engineering departments. Journal of Engineering Education, pp. 185-207.[12] Lord S, & Camacho, M. (2007). Effective teaching practices: preliminary analysis of
currently offering assistance or evaluating other students. Student B must wait for an available evaluator. If an evaluator does not become available, the student may be forced to leave without getting credit for work completed. The longer a student takes to finish their assignments during class, the more likely this case is to occur. • Student C believes he/she has met all five grading criteria prior to class start or during class time. A free evaluator begins an evaluation and flags a mistake(s). Student C may elect to fix them without assistance or ask the TA for assistance in fixing them. This process may take up to (10) minutes or longer. Student C must fix these mistakes or be graded “as-is
Academies Press, 2018.[2] A. Bargagliotti, D. Herreiner, and J. A. Phillips, “Breaking boundaries: Presing issues in equity, computing, and problem-solving in STEM undergraduate education,” J. Res. STEM Educ., vol. 4, no. 1, pp. 2–12, Jul. 2018.[3] AAC & U, College learning for the new global century. Washington, DC: The Association of American Colleges and Universities, 2007.[4] S. Ricker, “The skill set more than 3/4 of employers want,” 10-Apr-2014. [Online]. Available: https://www.careerbuilder.com/advice/the-skill-set-more-than-of-employers- want. [Accessed: 25-Apr-2019].[5] M. Akdere, L. Hickman, and M. Kirchner, “Developing leadership competencies for STEM fields: The case of Purdue Polytechnic Leadership Academy
inunderstanding and generating complex information and ideas. ReferencesBritner, S. L., & Pajares, F. (2006). Sources of science self-efficacy beliefs of middleschool students. Journal of Research in Science Teaching, 43, 485-499.Cannady, M. A., Greenwald, E., & Harris, K. N. (2014). Problematizing the STEMpipeline metaphor: Is the STEM pipeline metaphor serving our students and the STEMworkforce? Science Education, 98, 443-460.Cervetti, G. N., Barber, J., Dorph, R., Pearson, P. D., & Goldschmidt, P. G. (2012). Theimpact of an integrated approach to science and literacy in elementary school classrooms.Journal of Research in Science Teaching, 49, 631-658.Chen, Y.-C., Hand, B., & McDowell, L. (2013
used at a much higher rate since the late 1990’s. [24]Although the rubric has been viewed solely as an assessment tool for quite some time, recentstudies have suggested that it can also be used as a learning instrument. Arter and McTighesuggest that in collaboration with a formative assessment of student’s current un-finished work,the rubric can highlight areas that students are excelling in, as well as show opportunities wherethey can improve. [25] Jonsson and Svingby also note that a great benefit to using a rubric is thatit can be incredibly consistent in regards to the use of judgment when assessing specific studenttraits in class. [23] A prominent example of rubric use, the VALUE Rubrics developed and published by theAssociation of
learning of classroom concepts. This study did not control the tutorial instructionthat students received, so different tutorial instructors could have affected the exchange ofknowledge between the classroom and laboratory. However, the techniques used in this studycould be used to prompt reflection on in-class concepts that appear in a lab. This could be a greatopportunity to improve student learning.AcknowledgementsThis work was supported by the Claremont Center for Teaching and Learning.REFERENCES[1] L. B. Buck, S. L. Bretz, and M. H. Towns, “Characterizing the Level of Inquiry in the Undergraduate Laboratory,” Res. Teach., p. 7.[2] A. M. Schoffstall and B. A. Gaddis, “Incorporating Guided-Inquiry Learning into the Organic Chemistry
) Structure; and 7) Peer review [24].Active learning exercisesALEx or active learning activities (ALA) is an instructional method where pre-plannedactivities in class make the students put to use the content that they have just been taught. Manydifferent ALA and ALEx exist [23], [25], which are either informal or graded. The plainestversion of ALEx is regular multiple choice questions, which the students have to solve duringlectures but ALEx also comes as small written exercises, sketch drawings, group workactivities or the like. In class, the instructor presents the theory or case(s) and instruct thestudents how to answer the upcoming ALEx. Typically, the ALEx activities open for studentsubmissions only for a few minutes thus, when conducting graded
research andinstruction. Curriculum Models for the 21st Century, 73-89. New York: Springer.[6] Bonk, C. J., & Graham, C. R. (2006). The handbook of blended learning: globalperspectives, local design. Pfeiffer.[7] Schultz, D., Duffield, S., Rasmussen, S.C., & Wagemann, J. (2014). Effects of the flippedclassroom model on student performance for advanced placement high school chemistrystudents. J. Chem. Educ., 91(9), 1334–1339.[8] Holmes, M. R., Tracy, E. M., Painter, L. L.; Oestreich, T., & Park, H. (2015). Movingfrom flipcharts to the flipped classroom: Using technology-driven teaching methods to promoteactive learning in foundation and advanced master’s social work courses. Clinical Social WorkJournal, 43, 215–224[9
described in this paper, we devised special courseassignments: we gave a group problem to the students in a given course on the first day of classand organized students in groups of three or four, depending on the size of the class. Groupingsof students were alphabetical, based on the first letter of their last names. The student at the topof each grouping was designated the convener and leader of the group. Students were asked tomeet weekly and work collaboratively to solve the assigned problem(s) as a group and to submitone report of their work as a group on the last day of class, which is about one week before theday of the final exam. This report was worth 10% of the course grade. Students were encouragedto collaborate on other assignments, as
understanding of building automation, IoT, the engineering design process, andengineering careers.The S-STEM survey consists of 37 items. It is a five-point Likert-scale instrument that wasdeveloped to capture students’ attitudes toward science, math, engineering/technology, and21st century skills [18]. In the present study, the survey questions that measure students’attitudes toward science, math, and engineering/ technology concepts were utilized.Students’ responses to those questions were analyzed.ResultsAt the completion of the summer camp, evaluative feedback was collected from theparents regarding their knowledge and understanding related to building automation,Internet of Things, the engineering design process, and engineering careers
created a new position to keepthe program going long-term. The current E2 director has other job duties, but the camp and thepeer mentor program make up 50% of her responsibilities (25% for each program). Fortunately,the current staff member spent two years assisting the previous camp director with this program,and experienced students also have assisted in easing the transition between staff. It is alsoimperative to partner with other campus programs, units, and resources to ensure that theprogram is successful. Some changes made by campus residential life in 2018 possibly had anegative impact on the camp’s enrollment and participation due to competing activities.Communication for planning 2019’s camp began immediately after the 2018 program to
convoluted set of equations requiring several intermediatesteps. as shown in section 2's typical textbook solution for the Timoshenko problem. Tosimplify, all vectors are represented in polar form. Five Simplified Integrated Methods ofSolution (SIMS) are developed and applied progressively to solve the ten types of basicplanar vector systems that occur in statically determinate engineering mechanics problems.SIMS will yield scalar equations each with only one unknown for solving basic vectorsystems with two or three unknowns. For use in SIMS, polar vectors are classified as below.Solutions to examples start by identifying the type and forming the vector system equations.1. Vector with known magnitude and direction 3 (20) Known
ofengineering education that benefit from makerspace projects. As we continue to survey studentsin makerspaces, we hypothesize that our results will adjust to give us a richer view of the impactmakerspace use has on individual’s education throughout their undergraduate studies.References 1. American Society for Engineering Education. (2016). Envisioning the Future of the Maker Movement: Summit Report. Washington, DC: American Society for Engineering Education. 2. Barrett, T. W., & Pizzico, M. C., & Levy, B., & Nagel, R. L., & Linsey, J. S., & Talley, K. G., & Forest, C. R., & Newstetter, W. C. (2015, June). A Review of University Maker Spaces. Paper presented at 2015 ASEE Annual Conference &
Paper ID #22551Effective Methods of Engineering Information Literacy: Initial Steps of aSystematic Literature Review and Observations About the LiteratureMargaret Phillips, Purdue University, West Lafayette Margaret Phillips is an Assistant Professor of Library Science and Engineering Information Specialist in the Purdue University Libraries. Her research interests include technical standards and engineering and technology information literacy.Amy S. Van Epps, Harvard University Amy S. Van Epps is Director of Sciences and Engineering Services in the Faculty of Arts and Sciences Li- braries at Harvard University. She was recently an associate professor of Library Science and Engineering Librarian at Purdue University. She
:10.1002/job.430[4] C.-P, Lin, & Y. -F. Chen. Modeling Team Performance. Journal of Leadership & Organizational Studies. 2015; 23(1), 96–107.doi:10.1177/1548051815616252[5] L. Melita Prati, C. Douglas, G. R. Ferris, A. P. Ammeter, M. R. & Buckley. Emotional Intelligence, Leadership, Effectiveness, and Team outcomes. The International Journal of Organizational Analysis, 2003; 11(1), 21–40.doi:10.1108/eb028961.[6] J. Fransen, P. A. Kirschner, & G. Erkens. Mediating team effectiveness in the context of collaborative learning: The importance of team and task awareness. Computers in Human Behavior, 2011;27(3), 1103–1113.doi:10.1016/j.chb.2010.05.017[7] S. Mohammed, B. C. Dumville. Team mental models in a team knowledge
provided helpful criticism that makesus more effective.This work is supported by the National Science Foundation’s Revolutionizing Engineering andComputer Science Departments (RED) program through Award #1519453.References[1] S. M. Lord, J. A. Meija, G. Hoople, D. Chen, O. Dalrymple, E. Reedy, B. Przestrzelski, andA. Choi-Fitzpatrick, “Creative Curricula for Changemaking Engineers”, Proceedings of theWEEF-GEDC 2018 Conference, Albuquerque, New Mexico, November, 2018.[2] S. M. Lord, B. Przestrzelski, and E. Reddy, “Teaching Social Responsibility: ConflictMinerals Module for a Circuits Class”, Proceedings of the WEEF-GEDC 2018 Conference,Albuquerque, New Mexico, November, 2018.[3] S. M. Lord, B. Przestrzelski, and E. Reedy “Teaching social
,Washington, DC, 2010, p. F4H–1.[8] Morozov, D. Kilgore, and C. Atman, “Breadth in design problem scoping: Using insightsfrom experts to investigate student processes,” in ASEE Annual Conference and Exposition,Honolulu, HI, 2007.[9] S. Ingram and A. Parker, “The influence of gender on collaborative projects in an engineeringclassroom,” IEEE Trans. Prof. Commun., vol. 45, no. 1, pp. 7–20, 2002.[10] T. C. Brown and G. P. Latham, “The effects of behavioural outcome goals, learning goals,and urging people to do their best on an individual’s teamwork behaviour in a group problem-solving task.,” Can. J. Behav. Sci. Can. Sci. Comport., vol. 34, no. 4, p. 276, 2002.[11] C. O. L. H. Porter, “Goal orientation: Effects on backing up behavior, performance
= 0.05 ± 0.01)compared with “Control” (average = 0.23 ± 0.08).No statistical difference was observed between the two methods for the other categories ofmistakes individually. p-values for categories 1, 2, 3, 4, and 6 were found to be 0.8, 0.23, 0.25,0.13, and 0.43, respectively. Figure 1: Comparison of mistakes per student for the eight classesOther observations. Mistake type 2 shows a significant reduction with time for instructor 1.However, this is attributed not to AR, but to the collaborative problem-solving that was part ofInstructor 1’s teaching method. This effect relates to fundamental conceptual learning achievedfrom peer teaching and has been studied in a separate work of the authors. [23]Mistake type 6 was generally
, Purdue University, West Lafayette Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University and holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical Engineering. She researches cross-disciplinarity ways of thinking, acting and being; design learning; and engineering education transformation. c American Society for Engineering Education, 2019 Work-In-Progress: “I’m Not Your Standard Student”: Examining the Rationales for Pursuing an Interdisciplinary Engineering EducationAbstractThis Work-in-Progress paper in the Multidisciplinary Engineering Division begins to explore howundergraduate students use program
National Science Foundation for their support through a Graduate ResearchFellowship (DGE-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] C. E. Foor, S. E. Walden, and D. A. Trytten, ““I wish that I belonged more in this whole engineering group:" Achieving individual diversity,” J. Eng. Educ., vol. 96, no. 2, pp. 103–115, 2007.[2] J. M. Smith and J. C. Lucena, “‘How do I show them I’m more than a person who can lift heavy things?’ the funds of knowledge of low income, first generation engineering students,” J. Women Minor. Sci. Eng., vol. 22, no. 3, pp. 199–221, 2016.[3
innovation in engineering education necessitates research on ways of thinking. Wesought to gain this understanding based on four specific ways of thinking including futures,values, systems, and strategic thinking. The study builds on the existing body of knowledgeregarding these ways of thinking, while initiating a first step toward an ‘EER ways of thinking’model. We believe the resulting model could serve as an organizing and motivating structure toframe decisions throughout all engineering education endeavors.ReferencesBrown, T. A. (2015). Confirmatory factor analysis for applied research, 2nd edition. New York, NY: Guilford PublicationsCrawford, A. V., Green, S. B., Levy, R., Lo, W. J., Scott, L., Svetina, D., & Thompson, M. S. (2010
-direction calculated using images from the mobile phone and high-speed camera and v is the velocity in the y-direction calculated from images using the mobilephone and high-speed camera. Overall, the difference between the mobile phone and the high-speed camera setup is low (max error less than 0.2 m/s) (Figure 7). Figure 8. Difference between mobile PIV and industrial PIV using the absolute difference (Eq. 1). Overall, calculated velocity was similar between the two setups.ConclusionsWe completed a preliminary proof of concept of a mI-PIV device that will be refined forimplementation in classrooms in both high school and undergraduate levels. Our PIV tool isinexpensive, designed using open access image analysis code, and fully mobile. We
of 3-D printed block that took 8 hours to print. (B) Assembled 3-Dprinted robot puppet prior to adding primer, paint, and weathering effects. (C) Finished robot on day of shooting in front of a green screen. References[1] J. W. Bequette and M. B. Bequette, “A place for art and design education in the STEMconversation,” Art Education, vol. 65, no. 2, pp. 40-47, Mar. 2012doi:10.1080/00043125.2012.11519167[2] S. Fischer, D. Oget, and D. Cavallucci, “The evaluation of creativity from the perspective ofsubject matter and training in higher education: Issues, constraints and limitations,” ThinkingSkills and Creativity, vol. 19, pp. 123-135, Mar. 2016. doi:10.1016/j.tsc
helped them in their undergraduateeducation to succeed. The goal of using this analysis, as consistent with founders of themethodology [12], is to develop a theory during textural analysis without preconceived ideas onwhat the solution, or theory, could be. GMT was developed in the 1960’s to give sociologists atool that allowed them to generate new theories. It has begun to be adopted by the designdisciplines to help navigate the fuzzy front end of design by coding observations in transcripts,for example. The idea is that stories can emerge, and connections can be made betweenunrelated ideas and help form potential hypotheses [13]. In this initial coding exercise, word-by-word, and line-by-line coding strategies were employed, as described by
expectationsfrom engineering and technology graduates. To stay competitive, engineering andtechnology students need to learn the latest software used in their associated fields as wellas to understand relevant modeling and simulation frameworks. To provide students abetter learning experience discrete-event modeling software based hands-on learningexamples are developed and implemented for the junior level Facilities Planning course.This paper shares examples of the hands-on learning activities that are incorporated intothe Facilities Planning course.IntroductionAccording to the International Facility Management Association (IFMA)’s Profiles 2011Salary and Demographics Research Report, the average facility manager is “personallyresponsible for the entire