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Displaying results 16741 - 16770 of 36226 in total
Conference Session
K-12 & Pre-College Engineering Division: Curriculum and Resource Exchange
Collection
2016 ASEE Annual Conference & Exposition
Authors
Margaret F. Bennewitz, University of Pittsburgh; Ruben Hartogs, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh
Tagged Divisions
Pre-College Engineering Education Division
). • Teachers can assess student performance using an analytic rubric which addresses technical performance (weight requirements), creativity, and aesthetics. Please see the analytic rubric worksheet. • Students can be asked relevant questions at the conclusion of the activity to assess their understanding of the real-world applications of bioscaffolds. Please see the real-world applications worksheet.Applications: This hands-on activity introduces students to open-ended design questions thatengineers face every day. Students create their own scaffolds comprised of different geometricalshapes and they begin to understand the troubleshooting process as they discover why theirdesign(s) failed and how to make improvements
Conference Session
Understanding the Military Veteran's Human Resource Needs - Transition from Military Service to the Engineering Profession
Collection
2016 ASEE Annual Conference & Exposition
Authors
Joyce B. Main, Purdue University, West Lafayette; Michelle M. Camacho, University of San Diego; Catherine Mobley, Clemson University; Catherine E. Brawner, Research Triangle Educational Consultants; Susan M Lord, University of San Diego
Tagged Topics
Diversity
Tagged Divisions
Military and Veterans Constituent Committee
that facilitate studentveteran success in engineering.References1 National Science Foundation. (2009). Veterans’ education for engineering and science. Report of the NSF Workshop on Enhancing the Post-9/11 Veterans Educational Benefit. McLean, VA, April 13, 2009.2 Lighthall, A. (2012). Ten things you should know about today’s student veteran. Thought & Action: The NEA Higher Education Journal, 80-89. Available at http://www.nea.org/home/53407.htm3 Lord, S., Kramer, K., Olson, R., Karsada, M., Hayhurst, D., Rajala, S., … & Soldan, D. (2011). Special Session – Attracting and supporting military veterans to engineering programs. Proceedings of the 2011 Frontiers in Education Conference, Rapid City, SD, October.4 U.S
Conference Session
Electromagnetics & Power Education
Collection
2016 ASEE Annual Conference & Exposition
Authors
Alan Cheville, Bucknell University; Brianna Healey Derr, Bucknell University
Tagged Divisions
Electrical and Computer
class was taught in a flipped classroom format rather than by lecture using a formatpreviously demonstrated by the author [8]. Students were assigned pre-class readings and shortexplanatory videos to watch and took a short online quiz that focused on the “understand” and“apply” levels of Bloom’s Taxonomy [1]. Students could attempt the quiz multiple times.Students also were given the outline of the problem(s) they would solve in class. The outlineframed the problem(s) but did not provide any data or details. The students turned a brief outlineof the process they would use to solve the problem(s) so they would be prepared in theclassroom. In a typical class period teams of 3-4 students worked on problems with mini-lectures or assistance from the
Conference Session
Concurrent Paper Tracks Session I Study Abroad Programs
Collection
2016 ASEE International Forum
Authors
Monica Gray P.E., Lincoln University; Constance Loretta Lundy
Tagged Topics
Diversity, International Forum
institution. It is common to include both study abroad officials and faculty. Individualschools may be relatively small and often do not have the enrollment numbers to create a costeffective study abroad contingent. By coming together, a group of schools can create agreementsamong themselves as well as with the global partner(s). The consortium then sends a large groupof students to their partner institution(s) reducing the overall cost per student as well as ensuringthe integrity of the educational experience. Member schools sometimes sign off on course creditsthough a process of triangulation. For example, if Lincoln and University of Delaware (UD) arepart of a consortium and UD gave credit for a Statics course taken at the University of the
Conference Session
Concurrent Paper Tracks Session I Curriculum
Collection
2016 ASEE International Forum
Authors
Farida Tagirovna Shageeva, Kazan National Research Technological University; Inna Mikhailovna Gorodetskaya, Kazan National Research Technological University; Liliya Vasilievna Prikhodko
Tagged Topics
International Forum
, andleadership potential characterize those who choose minor courses in management. Empathyand outgoingness make them choose pedagogy and psychology. Students who choose foreignlanguages and professional translation are communicative, conforming and the leastconservative. Students with critical thinking and low conformism study law. Thus theirindividual traits correspond their minor. Additional professional education of engineering students is per se an exclusivepossibility for the top students to increase their marketabitity and to realize their personalpotential in the future engineering career. References: 1. S. Dyakonov, V. Ivanov, L Ovsienko (2003). Additional aducation as a new
Conference Session
Software Applications in ET Programs
Collection
2016 ASEE Annual Conference & Exposition
Authors
Chandana K.K. Jayasooriya, Engineering Technology Division, University of Pittsburgh at Johnstown
Tagged Divisions
Engineering Technology
(2kHz). Therefore, to satisfy the Nyquist sampling rate [13] a sampling rate of 5000 samples persecond is used to generate the message and carrier signals ( 5000). To generate time domainsignals (message signal and carrier signal) a sequence (an array) of time values has to begenerated. By using the “colon operator” (:) this can be done in a single line of coding in Matlab.An array of time values starting at zero and ending at with an increment of is created bytyping 0: : to create the message signal and the carrier signal. Here, the time increment ischosen to be the reciprocal value of the sampling rate , so that the time domain signals contain5000 samples per second. Time is arbitrarily chosen to be 0.2 s. Once a time sequence
Conference Session
Uses for MATLAB in Mechancial Engineering
Collection
2016 ASEE Annual Conference & Exposition
Authors
Roche de Guzman, Hofstra University; John Carmine Vaccaro, Hofstra University; Alexander Hans Pesch, Hofstra University; Kevin C. Craig, Hofstra University
Tagged Divisions
Mechanical Engineering
subscripts denoting directions as illustrated inFigure 5a. The variable t is, as usual, time in s. Upward component of velocity (vy)0 v0 y θ (vx)0 Downfield O component x of velocity Figure 5a. Projectile problem components, global
Conference Session
Capstone and Design Projects
Collection
2016 ASEE Annual Conference & Exposition
Authors
Emad Y. Tanbour, Central Michigan University; Molu O. Olumolade, Central Michigan University; Oumar Rafiou Barry, Central Michigan University
Tagged Divisions
Engineering Technology
- tional Mechanical Engineering Congress and Exposition, Huston, Texas Nov.13-19, 2015 • Butler, P. B., Tanbour, E., Rahman, S., and Smith, T. F., ”Virtual International Design Teams,” Proceedings of 2002 ASEE Midwest Section Meeting, Madison, WI, September 2002 Significant Other Publications • M. F. Alzoubi, E. Y. Tanbour and R. Al-Waked (2011), Compression and Hysteresis Curves of Nonlin- ear Polyurethane Foams under Different Densities, Strain Rates and Different Environmental Conditions, IMECE11 2011, Denver, Colorado, USA • E. Y. Tanbour (2011), Institutional Effectiveness, the Point Of View of Southern Association of Colleges and Schools (SACS), King Saud University, Feb 2011 • Emad Y. Tanbour, Rafat Al-Waked and
Conference Session
CoED: Computer Science Topics
Collection
2017 ASEE Annual Conference & Exposition
Authors
Lulu Sun, Embry-Riddle Aeronautical Univ., Daytona Beach; Christina Frederick, Embry-Riddle Aeronautical Univ., Daytona Beach; Li Ding, Embry-Riddle Aeronautical University; Rebecca Rohmeyer, Embry-Riddle Aeronautical University
Tagged Divisions
Computers in Education
, from http://www.usatoday.com/story/tech/2015/01/29/ky-computer-code-as-foreign-language/22529629/10. Victor, B. (2012). Learnable Programming. Retrieved March, 7, 2014, from http://worrydream.com/LearnableProgramming11. Ellis, R. (1994). The Study of Second Language Acquisition. Oxford: Oxford University Press.12. Krashen, S.D. (1981). Second Language Acquisition and Second Language Learning. Oxford: Pergamon Press.13. Krashen, S. D. (1982). Principles and practice in second language acquisition. Oxford: Pergamon Press.14. Krashen, S. D. & Terrell, T. (1983). The Natural Approach: Language Acquisition in the Classroom. London: Prentice Hall Europe.15. Williams, J. (1999). Memory, Attention and Inductive Learning
Conference Session
Design and Making
Collection
2017 ASEE Annual Conference & Exposition
Authors
Ayush Gupta, University of Maryland, College Park
Tagged Divisions
Liberal Education/Engineering & Society
localdevelopment: the contribution of engineers without borders from Italy and Colombia: towardsthe improvement of water quality in vulnerable communities. Systemic Practice and ActionResearch, 24(1), 45-66.Richards, L. G., & Gorman, M. E. (2004). Using case studies to teach engineering design andethics. In CD) Proceedings, 2004 American Society for Engineering Education Conference (Vol.52).Richards, J., Elby, A., Gupta, A. (2014) Characterizing a New Dimension of Change inAttending and Responding to the Substance of Student Thinking. In Polman, J. L., Kyza, E. A.,O’Neill, D. K., Tabak, I., Penuel, W. R., Jurow, A. S., O’Connor, K., Lee, T., and D’Amico, L.(Eds.). (2014). Learning and becoming in practice: The International Conference of the
Conference Session
COED: EE Topics
Collection
2017 ASEE Annual Conference & Exposition
Authors
Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech Department of Engineering Education; Carl B Dietrich P.E., Virginia Tech; Vuk Marojevic, Virginia Polytechnic Institute and State University; Nicholas F Polys, Virginia Polytechnic Institute and State University; R. Michael Buehrer, Virginia Tech
Tagged Divisions
Computers in Education
, R. M. (2002). Handbook of self-determination research. Rochester, NY: University of Rochester Press.Dörner, R., Göbel, S., Effelsberg, W., & Wiemeyer, J. (Eds.). (2016). Serious games: Foundations, concepts and practice. Cham: Springer International Publishing. doi:10.1007/978-3-319-40612-1Evans, J. S. B. (2009). How many dual-process theories do we need? One, two, or many?.Evans, J. S. B. (2003). In two minds: dual-process accounts of reasoning. Trends in cognitive sciences, 7(10), 454-459.Gee, J. P. (2003). What video games have to teach us about learning and literacy. New York: Palgrave Macmillan.Hamari, J. ; Koivisto, J. ; Sarsa, H. (2014). Does Gamification Work? -- A Literature Review of
Conference Session
Clinical, Patient, and Innovation Experiences in BME
Collection
2017 ASEE Annual Conference & Exposition
Authors
Katherine E. Reuther, Columbia University; Andrea Nye, Columbia University; Lorna Helen Begg, Columbia University Mailman School of Public Health; John D. O'Neill, Columbia University, Department of Biomedical Engineering; Ahmet-Hamdi Cavusoglu, Columbia University
Tagged Divisions
Biomedical
advice,feedback, and guidance on the issues teams faced in pursuing a path to commercialization.Course Evaluation and Feedback. Assessment of learning outcomes, course dynamics, andeffectiveness was achieved through anonymous pre- and post-course surveys of participants(Table 2). The survey included three short answer questions to determine role on the team, area(s)of expertise, and intention/history of attendance. Following the role identification questions wereten questions aimed at ranking knowledge gained from the course. Then, following the sameranking format, five questions aimed to determine participant enthusiasm over aspects of thecourse, such as excitement to network or to hear other teams present. The survey concluded witha final
Conference Session
Division Experimentation & Lab-oriented Studies Electrical Engineering and Circuits
Collection
2017 ASEE Annual Conference & Exposition
Authors
Kathleen A. Ossman, University of Cincinnati; Gregory Warren Bucks, University of Cincinnati
Tagged Divisions
Division Experimentation & Lab-Oriented Studies
tocommunicate with the Arduino is extremely easy to install because it is an Add On inMATLAB®. The code to set up the input and output channels is simpler to understand sostudents would hopefully not be frustrated by a bunch of pre-written code that seemedmysterious. The wiring would be simpler since students would not have to use a screwdriver tosecure wires into a terminal. The Arduino is significantly cheaper than the myDAQ so it wouldbe possible to purchase additional units, allowing students to work in groups of two rather thanthree.Bibliography1. M. J. Prince, “Does active learning work? A review of the research,” Journal of Engineering Education, 93: 223–231, 2004.2. S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt
Conference Session
Innovations in Additive Manufacturing Education
Collection
2017 ASEE Annual Conference & Exposition
Authors
R. Radharamanan, Mercer University
Tagged Topics
Diversity
Tagged Divisions
Manufacturing
, business opportunities and future directions; integrated 3Dscanning and 3D printing lab experiments.Textbook:Ian Gibson, David, W. Rosen, and Brent Stucker: Additive ManufacturingTechnologies: 3D Printing, Rapid Prototyping and Direct Digital Manufacturing, SecondEdition, Springer, 20151.Reference Book:C. K. Chua, K, F. Leong, and C. S. Lim, “Rapid Prototyping: Principles andApplications”, Third Edition, World Scientific, 20102.The contents of this course include recent advances in the Additive Manufacturing (AM)technologies that specializes in rapid prototyping of three-dimensional objects:Photopolymerization processes (Stereolithography (SL) Technology); Powder bed fusionprocesses (Selective Laser Sintering – SLS, Electron Beam Melting
Conference Session
College Industry Partnerships Division Technical Session 1
Collection
2017 ASEE Annual Conference & Exposition
Authors
Simeon Ntafos, University of Texas, Dallas
Tagged Divisions
College Industry Partnerships
environment where the size of theprogram requires dedicated staff to manage it. Software tools may be nice to have for SoftwareEngineering projects but are not as “must-have” as supplies and equipment for UTDesignprojects are. .The two senior design programs raises some interesting questions that will have to be dealt with.Among them is academic credit for major degree requirements through properly structuredinternships with some faculty involvement (other universities have already done so, e.g. [9]).References:1. Wong, W.E., “Industry Involvement in an Undergraduate Software Engineering Project Course: Everybody Wins”, Proc. of the 2013 ASEE Annual Conference (2013).2. S. Howe, L. Rosenbauer, S. Poulos, “2015 Capstone Design Survey: Initial
Conference Session
Mathematics Division Technical Session 1
Collection
2017 ASEE Annual Conference & Exposition
Authors
Campbell Rightmyer Bego, University of Louisville; Patricia A. Ralston, University of Louisville; Il Young Barrow, University of Louisville
Tagged Divisions
Mathematics
facilitate ongoing research on retention. Ms. Bego is a registered professional mechanical engineer in New York State.Dr. Patricia A. Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from the University of Louisville. Dr. Ralston teaches undergraduate engineering mathematics and is currently involved in educational research on the effective use of technology in engineering education, the incorpo- ration of critical thinking in undergraduate engineering education, and retention of engineering students. She leads a research group whose
Conference Session
Curricular Innovations 1
Collection
2017 ASEE Annual Conference & Exposition
Authors
Mark J Indelicato, Rochester Institute of Technology (CAST); Miguel Bazdresch, Rochester Institute of Technology (CAST); George H Zion, Rochester Institute of Technology (CAST); Joseph (Yossi) Nygate, Rochester Institute of Technology (CAST); Surabhi M Sarda, Rochester Institute of Technology (COE)
Tagged Divisions
Educational Research and Methods
research 1. Its questions are tailored to identify students’ implicit assumptions in aspecific field and may be applied both pre- and post-instruction. There is no currently existing CIfor networking and telecommunications. Our initial results seem to suggest that the developmentof a CI for this field would be very useful. However, we would like this CI to be applicable to adiverse set of students, with respect to both their culture and their educational level(undergraduate and graduate). At the moment, the development of such a CI is still in an earlystage.In summary, this study expands the breadth of knowledge on student preconceptions in STEMby including the subject of QoS in telecommunications, identifying some of thepreconception(s
Conference Session
They need more than technical skills!
Collection
2017 ASEE Annual Conference & Exposition
Authors
Pradeep Kashinath Waychal, Guruji Education Foundation; Anil Dattatraya Sahasrabudhe P.E., All India Council for Technical Education
Tagged Divisions
International
; Defense 0.21 0.00 & 0.05 & 0.99 0.27 9.82 3.78 0.37 0.34 Busines 0.02 & 0.00 & s studies 0.15 0.59 0.44 7.82 0.10 0.65 0.51 0.6 0.00 & Arts 0.02 0.00 & 0.01 & 0.1 0.10 0.99 0.11 0.19 0.16 0.0 & 0.1 0.0 & 0.1 Table 5: Choices of areas based on academic performance (CGPA) Area N CGPA Mean CGPA Std Deviation Arts
Conference Session
Assessment of Student Learning – New Engineering Educators Division
Collection
2018 ASEE Annual Conference & Exposition
Authors
Sara A. Atwood, Elizabethtown College; Arjun Singh, Gradescope
Tagged Divisions
New Engineering Educators
sword," Current directions in psychological science, vol. 7, pp. 67-72, 1998.[3] R. Moreno, "Decreasing cognitive load for novice students: Effects of explanatory versus corrective feedback in discovery-based multimedia," Instructional science, vol. 32, pp. 99-113, 2004.[4] E. A. Locke and G. P. Latham, "Work motivation and satisfaction: Light at the end of the tunnel," Psychological science, vol. 1, pp. 240-246, 1990.[5] S. H. Song and J. M. Keller, "Effectiveness of motivationally adaptive computer-assisted instruction on the dynamic aspects of motivation," Educational technology research and development, vol. 49, pp. 5-22, 2001.[6] S. J. Ashford, R. Blatt, and D. V. Walle, "Reflections on the
Conference Session
Mechanical Engineering Division Technical Session 3
Collection
2018 ASEE Annual Conference & Exposition
Authors
Kathryn R. Gosselin, San Jose State University; Nicole Okamoto, San Jose State University
Tagged Divisions
Mechanical Engineering
Training in Optics and Photonics, 2009.[8] J. D. Wheadon and N. Duval-Couetil, “Analyzing the expected learning outcomes of entrepreneurship business plan development activities using Bloom’s taxonomy,” in Proceedings of the ASEE 2013 Conference, 2013.[9] R. L. Pimmel, “Student learning of criterion 3 (a)-(k) outcomes with short instructional modules and the relationship to Bloom’s taxonomy,” J. Eng. Educ., vol. 92, no. 4, pp. 351–359, 2003.[10] W. Hussain, M. F. Addas, and F. Mak, “Quality improvement with automated engineering program evaluations using performance indicators based on Bloom’s 3 domains,” in 2016 IEEE Frontiers in Education Conference (FIE), 2016, pp. 1–9.[11] S. M. Brookhart and
Conference Session
PCEE Evaluation Studies
Collection
2018 ASEE Annual Conference & Exposition
Authors
Vanessa LeBow, University of Arkansas; Michelle L. Bernhardt-Barry, University of Arkansas; Jyotishka Datta, University of Arkansas
Tagged Topics
Diversity
Tagged Divisions
Pre-College Engineering Education
Arkansas. She received her Ph.D, M.S., and B.S. in civil engineering from Texas A&M University. Her research interests include geotechnical engineering, and the use of 3d printed models to aid learning in K-12 and college classrooms.Dr. Jyotishka Datta, University of Arkansas Jyotishka Datta is an Assistant Professor of Statistics at the University of Arkansas at Fayetteville since August 2016. He was an NSF postdoctoral fellow at Duke University and Statistical and Applied Math- ematical Sciences Institute (SAMSI) working with Dr. David B. Dunson (Statistical Science) and Dr. Sandeep S. Dave (School of Medicine). He received my Ph.D. in Statistics from Purdue University in 2014 under the guidance of Prof
Conference Session
IED Technical Session: Preparing Programs for the Future
Collection
2018 ASEE Annual Conference & Exposition
Authors
Anuj Mittal, Iowa State University; Sriram Sundararajan, Iowa State University; D. Raj Raman, Iowa State University; Caroline C. Krejci, University of Texas at Arlington
Tagged Topics
Diversity
Tagged Divisions
Industrial Engineering
] Darwish, H., & Van Dyk, L. (2016). The Industrial Engineering Identity: From Historic Skills to Modern Values, Duties, and Roles. South African Journal of Industrial Engineering, 27(3), 50-63. [2] Ozis, F., Pektas, A. O., Akca, M., & DeVoss, D. A. (2017). How to Shape Attitudes Towards STEM Careers: The Search for the Most Impactful Extracurricular Clubs (RTP). Proceedings of the American Society of Engineering Education Annual Conference, Columbus, OH. [3] Brophy, S., Klein, S., Portsmore, M., & Rogers, C. (2008). Advancing Engineering Education in P‐12 Classrooms. Journal of Engineering Education, 97(3), 369-387. [4] Carr, R. L., Bennett, L. D., & Strobel, J. (2012). Engineering in the K
Conference Session
Mechanical Engineering Division Technical Session 4
Collection
2018 ASEE Annual Conference & Exposition
Authors
Brett Batson, Trine University
Tagged Divisions
Mechanical Engineering
student t-test does not indicate the reason(s) the alternativehypothesis must be accepted. It must be admitted, there could have been other factors involvedthan the present study reveals.Individual SuccessesMcGuire [1] reported several individual success stories. These stories highlight students whohad not learned how to study and learn until metacognition was introduced to them. Then, whenthese students understood how to succeed, they did so, sometimes spectacularly. Similar storieswere searched for in the present study.Criteria for defining success is subjective. For this section, a “success story” was defined as astudent earning a failing score on the first exam (before the lectures on metacognition) butearning a satisfactory (C or better
Conference Session
Electrical and Computer Division Technical Session 7
Collection
2018 ASEE Annual Conference & Exposition
Authors
Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech; Seungmo Kim, Georgia Southern University; Vuk Marojevic, Virginia Tech; Carl B. Dietrich, Virginia Tech
Tagged Divisions
Electrical and Computer
processing algorithmsand SDR waveforms required to perform Cognitive Radio (CR) experiments in real time. Inaddition to the 24 racks connected to USRP2’s, the testbed employs four racks dedicated tonetwork management and administration. An image server provides automated re-imagingcapabilities, a firewall, and a LDAP server provides security/authentication. A dedicated NFSserver is employed at the user plane in order to provide researchers a private directory to storescripts, programs, and test results. Many of the experiments and demos that have been producedthus far have exploited the remote capabilities of this COgnitive Radio NETwork (CORNET) [3]testbed, by employing custom web interfaces, and many of the administrative tasks can now beperformed
Conference Session
Materials Division Technical Session 2
Collection
2018 ASEE Annual Conference & Exposition
Authors
Spencer Seung-hyun Kim, Rochester Institute of Technology (CAST)
Tagged Divisions
Materials
m-POGIL-based laboratory is tomove away from the more “cookbook” structured lab, where students are typically told stepwisewhat to do in order to collect certain data and to conclude the experimental work. Then, studentsperform the lab experiment within the groups by desirable criteria for the m-POGIL lab-activity.The key desirable criteria for the m-POGIL lab activity are: 1. Making agreements, roles, and responsibilities, as a team-contract, for the teamwork. 2. Requiring generating experimental goal(s) and producing the outcomes. 3. Promoting active decision-making within the group. 4. Evaluating the individual and group performance. 5. Encouraging students to develop questions/or problems for further
Conference Session
MET and Mechatronics
Collection
2018 ASEE Annual Conference & Exposition
Authors
John R. Haughery, Iowa State University
Tagged Divisions
Engineering Technology
,” Journal of Engineering Education, vol. 104, no. 1, pp. 74–100, 2015.[2] G. R. Pike and T. S. Killian, “Reported gains in student learning: Do academic disciplines make a difference?,” Research in Higher Education, vol. 42, no. 4, pp. 429–454, 2001.[3] P. R. Pintrich, D. A. F. Smith, T. Garcia, and W. J. McKeachie, “Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (MSLQ),” Educational and Psychological Measurement, vol. 53, no. 3, pp. 801–813, Sep. 1993.[4] T. T. York, C. Gibson, and S. Rankin, “Defining and measuring academic success,” Practical Assessment, Research & Evaluation, vol. 20, no. 5, p. 2, 2015.[5] P. R. Pintrich, R. W. Marx, and R. A. Boyle, “Beyond Cold Conceptual Change
Conference Session
Active Learning Methods in Action
Collection
2018 ASEE Annual Conference & Exposition
Authors
Megan Sanders, Colorado School of Mines; Sam Spiegel, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh
Tagged Divisions
Educational Research and Methods
. For this reason, we argue that theELCOT can serve an important role in helping the field of Engineering Education take “a morenuanced approach to active learning” (Streveler & Menekse, 2017, p. 189). ReferencesFreeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.Resnick, L. B. (1999, June 16). Making America smarter. Education Week Century
Conference Session
Design and the Capstone Experience
Collection
2018 ASEE Annual Conference & Exposition
Authors
Gregory K Watkins P.E., California State University, Chico
Tagged Divisions
Design in Engineering Education
improve the model, plans are in process to provide additional instructionand support specifically for PMs as a separate cohort. Additional evening class meetings areplanned just for the student PMs. Local alumni, whose primary job is project management, arebeing sought to serve as resources and mentors, and offer first-hand examples of effectivemanagement tools and techniques. A follow-up survey is planned after the changes have beenfully implemented.References1. Watkins, G., “Best Practices for Faculty Mentorship of Capstone Design Projects, Proceedings of the 2011 ASEE Annual Conference, Vancouver, British Columbia2. Howe, S., Poulos, S., & Rosenbauer, L., The 2015 Capstone Design Survey: Observations from the Front Lines, Proceedings
Conference Session
Engineering Physics and Physics Division Technical Session 2
Collection
2018 ASEE Annual Conference & Exposition
Authors
Kosta Popovic, Rose-Hulman Institute of Technology; Janie Szabo, Rose-Hulman Institute of Technology
Tagged Divisions
Engineering Physics and Physics
III and M. A. McDaniel, Make It Stick, Cambridge, Massachusetts: The Belknap Press of Harvard University Press, 2014.[7] B. S. Bloom, Taxonomy of Educational Objectives, Handbook 1: Cognitive Domain, New York: Addison-Wesley Longman Ltd, 1956.[8] M. Hill, M. Sharma and H. Johnston, "How online learning modules can improve the representational fluency and conceptual understanding of university physics students," European Journal of Physics, vol. 36, no. 4, p. 045019, 2015.[9] J. C. Moore, "Efficacy of Multimedia Learning Modules as Preparation for Lecture-Based Tutorials in Electromagnetism," Education Sciences, vol. 8, no. 1, p. 23, 2018.[10] D. S. Goodman, F. J. Rueckert and J. O'Brien, "Initial Steps Toward a study on the
Conference Session
Mechanics Division Technical Session 6
Collection
2019 ASEE Annual Conference & Exposition
Authors
Jeffrey A. Davis, Grant MacEwan University; Shelley Lorimer, Grant MacEwan University
Tagged Divisions
Mechanics
student use of the free-body diagram representation on their performance,” Edu. Research, vol. 1 (10), pp 505-511, 2010.[4] D. Rosengrant, A. Van Heuvelen, and E. Etkina, “Do students use and understand free-body diagrams?,” Phys. Review. Special Topics - Physics Education Research, vol. 5(1), 13p, 2009.[5] D. Rosengrant, A. Van Heuvelen, and E. Etkina, “Free-Body Diagrams: Necessary or Sufficient?,” in 2004 Physics Education Research Conference, Sacramento, California, August 4-5, J. Marx, P. Heron, S. Franklin, Eds. American Institute of Physics, 2005, pp 177-180.[6] P. Kohl, D. Rosengrant, and N. Finkelstein, “Strongly and weakly directed approaches to teaching multiple representation use