currently stands, we believe Recap’s technology glitches hinder true learninggains and have decided not to implement Recap during the spring 2017 semester. Plans to revisitthe technology later in 2017 to see what improvements have been made will determine future useand implementation decisions.References1 Bransford, J. D., Brown, A. L. & Cocking, R. R. How People Learn: Brain, Mind, Experience and School. (National Academy Press, 2000).2 Fisher, D., Frey, N. & Rothenberg, C. Content-Area Conversations. (ASCD 2008).3 Brookfield, S. D. & Preskill, S. Discussion as a Way of Teaching. (John Wiley and Sons, 2005).4 Alexander, R. J. Towards Diologic Teaching: rethinking classroom talk. (Dialogos, 2017).5 Dreyfus
. Chandra,D.G.&D.B.Malaya(2012).Roleofcloudcomputingineducation.Computing,ElectronicsandElectricalTechnologies(ICCEET),2012InternationalConferenceon,IEEE. Hartmann,S.B.,Braae,L.Q.N.,Pedersen,S.,&Khalid,S.(2016)."ThePotentialsofUsingCloudComputinginSchools:ASystematicLiteratureReview."TurkishOnlineJournalofEducationalTechnology. Kumar,R.,Gupta,N.,Charu,S.,Jain,K.,&Jangir,S.K.(2014)."OpensourcesolutionforcloudcomputingplatformusingOpenStack."InternationalJournalofComputerScienceandMobileComputing3(5):89-98. Pierce,G.L.andP.F.Cleary(2016)."TheK-12educationaltechnologyvaluechain:Appsforkids,toolsforteachersandleversforreform."EducationandInformationTechnologies21(4):863-880. Reidenberg,J.,Russell,N.C.,Kovnot,J.Norton
activities was toengage the students in active, rather than passive learning (Romkey & Cheng, 2009;Viswanathan & Radhakrishnan, 2015). I generally served as facilitator, rather than a deliberateguide in these discussions, making sure students felt comfortable and had a chance to have theiropinions heard, but not explicitly directing the discussion (Jacquez et al., 2007).Along with the in-class SGMA materials, each weekly homework assignment included a SGMA-specific question, as did the midterm(s) and final exams. As shown in Table 2, these individualassignments also progressed through the Bloom’s Taxonomy hierarchy. They were generallymore open-ended than the typical homework problems (Jacquez et al., 2007) and incorporateduncertainties or
on student attitudes towards careers and research inSTEM and has increased their awareness of the skills needed for success in STEM careers.However, students seem to be less confident in the skills that they need for a career in STEMafter participating in research work. Further investigation is needed to determine the cause of theloss in confidence.AcknowledgementThis material is based upon work supported by the Department of Education Minority Scienceand Engineering Improvement Program under Grant No. P120A140051. Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the Department of Education.BibliographyBauer, K., & Bennett, J. (2003
student’s self-efficacy and expectedacademic outcomes. Brown observed two key findings that should be noted here. First, theresearchers found that high school performance measures (i.e. GPA) appeared to have a moresignificant contribution towards predicting a student’s self-efficacy beliefs than academicaptitude measured by standardized test scores (z=15.16, p from http://www.engr.psu.edu/AWE/ARPresources.aspxRobbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261Sass, T. (2015, January). Understanding the STEM pipeline (Working Paper
Paper ID #25890Teaching and Learning of Electrical and Computer Engineering Courses withHigh Mathematical ContentsDr. S. ”Hossein” Mousavinezhad P.E., Idaho State University Dr. Mousavinezhad, P.E., was the principal investigator of the National Science Foundation’s research grant, National Wireless Research Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active member of IEEE and ASEE Fellow having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical
, June 14-17, 2015, Seattle, WA5. J. Duke and D. Morris, 2002, “Assessing Undergraduate Mechanics Courses”, Proceedings of the 2002 ASEE Annual Conference and Exposition, June 16-19, 2002, Montreal, Canada6. D. Meyer,2006, “Strategies for Assessing Course Specific Outcomes”, Proceedings of the 2006 ASEE Annual Conference and Exposition, June 18-21, 2006, Chicago, IL7. M. Sanders, M. Thompson, M. El-Sayed, L. King, and M. Lindquist, 2006, “Assessing Interdisciplinary Engineering Capstone Project” Proceedings of the 2006 ASEE Annual Conference and Exposition, June 18-21, 2006, Chicago, IL8. S. Beyerlein, D. Davis, P. Thompson, M. Trevisian, and O. Harrison, 2006, “Assessment Framework for Capstone Design Courses”, Proceedings of
, A. Gupta, S. Hasanov, A. Nasirov, A. Elliott, F. Alifui-Segbaya, and N.Nanami, “The Trends and Challenges of Fiber Reinforced Additive Manufacturing,” TheInternational Journal of Advanced Manufacturing Technology, pp. 1-18, 2019,https://doi.org/10.1007/s00170-018-03269-7.[7] A. Imeri, N. Russell, J. Rust, S. Sahin, and I. Fidan, “MAKER: 3D Pen Utilization in 3DPrinting Practices,” Proceedings of the 2017 ASEE Annual Conference, ASEE 2017, Columbus,OH, USA, June 24-28, 2017, [Online]. Available: https://peer.asee.org/27723, [Accessed March12, 2019].[8] A. Imeri, N. Russell, J. Rust, S. Sahin, and I. Fidan, “MAKER: 3D Printing as an Alternativeto Fabricate the Motorsports Parts,” Proceedings of the 2017 ASEE Annual Conference, ASEE2017
significant fraction of the students fromexcessive dependence on solution manuals. Reference[1] Harris Cooper, Jorgianne C. Robinson, Erika A. Patall, “Does homework improve academicachievement? A synthesis of research, 1987–2003”, Review of Educational Research, 76(1), pp.1–62 (2006).[2] Autar Kaw, “Does Collecting Homework Improve Examination Performance?”, Proceedingsof 117th ASEE Annual Conference, Louisville, Kentucky, June 20 - 23, 2010.[3] Kathy S. Jackson, Mark D. Maughmer, “Promoting Student Success: Goodbye to GradedHomework and Hello to Homework Quizzes”, Proceedings of 124th ASEE Annual Conference,Columbus, Ohio, June 25 - 28, 2017.[4] Gilbert C. Brunnhoeffer III, “Homework Is So 20th Century
,” International Political Sociology, vol. 10, no. 4, pp. 332-351, 2016.[5] S. J. Davis, K. Caldeira, and H. D. Matthews, “Future CO2 emissions and climate change from existing energy infrastructure,” Science, vol. 329, no. 5997, pp. 1330-1333, 2010.[4] J. Currie, M. Greenstone, and K. Meckel, “Hydraulic fracturing and infant health: New evidence from Pennsylvania,” Science Advances, vol. 3, no. 12, 1603021. 2017.[5] F. Caiazzo, A. Ashok, I. A. Waitz, S. H. L. Yim, and S. R. H. Barrett, “Air pollution and early deaths in the United States. Part I: Quantifying the impact of major sectors in 2005,” Atmospheric Environment, vol. 79, pp. 198-208, 2013.[6] I. C. Dedoussi and S. R. H. Barrett, “Air pollution and early deaths in the
students “to disengage fromlearning situations” or to commit only to “the minimum amount of work that is needed to just getby” [13]. In view of these challenges, Ambrose and her colleagues recommend several strategiesdesigned “to increase the value that students place on the goals and activities” of a course [13].Among them are connecting course materials to “issues that are important to students” and to“real-world event[s]” and the needs of “an actual client in the community” [13]. Common tothese strategies is an emphasis on the real (or at least the simulation of reality). Reality conveysrelevance, which in turn persuades students that a course is worth the investment of time andresources required to facilitate deep learning. It would
solar cells as images and two-dimensional maps, and briefly discussed the wealth of information that is accessible to studentsusing inexpensive and easy-to-operate systems. Solar cells provide a convenient and informativeobject of study for imaging, laser scanning, and thermography due to the variety ofmicrostructures and their impact on readily measured performance parameters.References[1] “Snapshot of Global Photovoltaic Markets 2017” (http://www/ieas.pvps.org).[2] T. Strauch, M. Demant, P. Krenckel, S. Riepe and S. Rein, "Analysis of grain structureevolution via image processing based on optical measurements of mc Si wafers," 2016 IEEE 43rdPhotovoltaic Specialists Conference (PVSC), Portland, OR, 2016[3] B. C. Chakravarty, N. K. Arora, S. N
dimensions as shown in Table 1.More specifically, there was a statistically significant positive change for the males in mathenjoyment and math and science instruction post-test.References 1. Prince, M. (2004). Does active learning work? A review of research. J. Engineering Education, 93(3), 221-231 © American Society for Engineering Education, 2017 2018 ASEE National Conference2. Blumenfeld, P. C., Kempler, T. M., and Krajcik, J. S. (2006). Motivation and cognitive engagement. The Cambridge Handbook of Learning Science. Sawyer, R. K. (Ed.)3. Freeman, S. Eddy, S. L., McDonagh, M., Smith, M. K., Okorofor, N., Jordt, H., and Wenderoth, M. P. (2014). Active Learning increases student
. Summarize 3-5 evidence-based instructional strategies s/he will implement. At least one of these will be a discipline-specific instructional strategy relevant to the participant’s field of study. Leverage the Literature Search relevant sources (e.g., journal articles, conference proceedings, book chapters, blogs, disciplinary communities of practice) to identify pedagogical best practices and discipline- specific teaching practices. Engage in Discussion Critique discipline-based education research or instructional case studies. Facilitate a
“individual”performance of the students (e.g., via monitoring their performance in the weekly assignments).Identifying students who used the video tutorials and comparing them with those who did not (inthe same section) will shed more light on the potential role of video tutorials on students’performance in this course. Figure 3. Student viewing of the video tutorials per each week of the classReferences 1 A. Curodeau, E. Sachs, and S. Caldarise, “Design and fabrication of cast orthopedic implants with freeform surface textures from 3-‐D printed ceramic shell,” Journal of Biomedical Materials Research Part A, vol. 53, no. 5, pp. 525-535, 2000. 2 R. Balachandran, J. E. Mitchell, G. Blachon, J. H. Noble
/pra2.2016.14505301139.http://onlinelibrary.wiley.com/doi/10.1002/pra2.2016.14505301139/abstract.7. Reiser, S. and R. Bruce. 2014. Cultivating creativity (and majors) with computational craft.IEEE Southeast Conference, Lexington, KY. doi:10.1109/SECON.2014.6950654,http://ieeexplore.ieee.org/document/6950654/. 8. Buhler, A., Gonzalez, S, Bennett, D., and Winnick, E. 2015. 3D printing for middle schooloutreach: A collaboration between the science library and the Society of Women Engineers.Proceedings of the American Society for Engineering Education 122nd Annual Conference,Seattle, WA.9. Ro, H. K. and D. B. Knight. 2016. Gender differences in learning outcomes from the collegeexperiences of engineering students. Journal of Engineering Education 105 (3): 478-507
-918.Eccles (Parsons), J., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectations, values and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motivation. San Francisco: W. H. Freeman.Eccles (Parsons), J. (1984). Sex differences in mathematics participation. In M. L. Maehr & M. W. Steinkamp (Eds.), Women in science. Vol. 2. Advances in motivation and achievement. Greenwich, CT: JAI Press, Inc.Eccles, J. S. (1994). Understanding women's educational and occupational choices: Applying the Eccles et al. model of achievement-related choices. Psychology of Women Quarterly, 18, 585-609.Eccles, J.S. (2009). Who am I and what and I going to
general obstaclesplaced in high Reynolds number flows. The problems presented here would make for anexcellent interdisciplinary learning experience in such courses.Bibliography1. Mohammadzadeh, A. & Haidar, S., “Integral methods in solving governing partial differential equations in the undergraduate heat transfer course”, in Proceedings of the 2016 American Society for Engineering Education Annual Conference & Exposition, (ASEE paper ID 15166), June 2016 https://www.asee.org/public/conferences/64/author_index/272702. Incropera, Frank, P.; Dewitt, David, P., “Fundamentals of Heat and Mass Transfer, 4th. Edition”, J. Wiley, 1996.3. Kreith, Frank, Bohn, Mark,S., “Principles of Heat Transfer, 6th. Edition", Brooks/Cole, 2001.4. Arpaci
. Teacher participants were selected based on the quality of a statement of their interest inconducting research and participating in professional development, letters of recommendationfrom their principals, years of in-service teaching, the demographics of the students that theyteach, and the science subject(s) they teach. There were 11 teachers in the first cohort: 4 teacherswho participated in the program at TU and 7 teachers who participated at PU. Once the teachers had been accepted into the program, they were introduced (virtually) totheir resesearch advisors, with the intent of having some preliminary discussion about projectsahead of their arrival on campus. These discussions began about six weeks prior to the start ofthe on-campus
higher on all oral final exam questions,the peer evaluation, and the course project. Students in the second iteration also improved intheir ethical reasoning ability.Table 6. Objective assessment data for course measures of student learning. Course Percent Percent Desired Learning Attainment AttainmentAssessment Level of Outcome(s) - 1st - 2nd Attainment Met
-University: Missouri S&T10 Texas A&M11 University of Kansas13 Kansas State University14 Lincoln12 First Year Introduction to Mechanical Introduction to Mechanical Introduction to Mechanical Introduction to Mechanical Introduction to Mechanical Engineering Engineering Engineering Engineering Engineering Computer Applications in Engineering
], theChair of Scrap (see Appendix) asks the students to design a way to accommodate more studentsin the instructor’s office with only recyclable materials. Assigned on the first day of class anddue in just one week, students work feverishly to design and build some sort of chair or stool.Upon showing their designs proudly to the instructor, they are surprised to hear that they have allmade a crucial mistake. It is rare for any of the students to visit the instructor’s office or ask theinstructor or any students questions about what s/he wants in seating (i.e., they do not talk tousers or the client). While there are certainly barriers to a first-year student going to aninstructor’s office (e.g., it can be intimidating, they not be familiar with
AssociatedOutcomes on Student Learning", Educational Sciences: Theory and Practice, 14(1), 309-322, 2014.[2] Ma, G., and Ma, L., "Retaining Female Students in a Robotics Program", Proceedings of the 2017 AmericanSociety for Engineering Education conference and exposition, 2017.[3] Crowe, S., "Robotics playing a bigger role in STEM education”, Robotics Business Review, May 27, 2005. URL:https://www.roboticsbusinessreview.com/rbr/robotics_playing_bigger_role_in_stem_education, accessed March 13,2018.[4] Zywno, M. S., Gilbride, K. A., and Gudz, N., "Innovative outreach programs to attract and retain women inundergraduate engineering programs", Global Journal of Engineering. Education, 4(3), 293-302, 2000.[5] Doerschuk, P., Liu, J., and Mann, J., "INSPIRED
students working together too closely or copying Excel files. Beginning in Fall2008, an increased percentage of the cases were students who have accessed unauthorized copiesof the solution key on-line and duplicated the solution key for part or all of their solution. Theproliferation of “information sharing sites” like www.chegg.com and www.coursehero.com havechanged the preferred means of cheating from copying a friend’s homework to copying somethingon-line. In addition, use of cell phones, smart watches, and wireless capability was not commonin the mid 2000’s. The original videos included a scenario involving a copy machine, which led astudent to comment, “What is that? Why don’t they just use their phone?”In an effort to modernize the video
population trends, economic shifts, and increasedaccessibility [3][4][5]. Military students and veterans currently comprise 4% of Americancollege students [6]. ACE credit recommendations have changed to reflect these shifts inmilitary training and academic content. This paper discusses the extent to which changes inmilitary training, specifically that provided by the United States Army, have affected ACE’scredit recommendations at the undergraduate level.IntroductionThe American Council on Education (ACE) is based in Washington, DC. A contractor for theDepartment of Defense, ACE oversees academic evaluation of military courses. According totheir website: “ACE has provided a critical link between the U. S. Department of Defense and higher
autoethnographic study of the comprehensive exam process,” Int. J. Dr. Stud., vol. 9, pp. 347–360, 2014.[4] J. A. Schafer and M. J. Giblin, “Doctoral comprehensive exams: Standardization, customization, and everywhere in between,” J. Crim. Justice Educ., vol. 19, no. 2, pp. 275–289, 2008.[5] M. S. Anderson and J. P. Swazey, “Reflections on the graduate Student experience: An overview,” In M. S. Anderson (Ed), The experience of being in graduate school: An exploration. New Directions for Teaching and Learning, No. 101. Jossey-Bass, San Francisco, 1998.[6] H. Estrem and B. E. Lucas, “Embedded traditions, uneven reform: The place of the comprehensive exam in composition and rhetoric PhD programs,” Rhetor. Rev., vol
UnabridgedMerriam-Webster Inc. Springfield Massachusetts, USA. 2002.[5] Shekoyan, V., Dehipawala, S., Tremberger Jr., G., Cheung, T., Improving Fluid IntelligenceCritical Thinking Via Special Reasoning Ability in Community College Pre-Engineering PhysicsClasses. 2017 ASEE Mid Atlantic Spring Conference.[6] Rotante, T., Brem, S., Hubele, N., Runger, G., Kennedy, K., Case Based Reasoning forEngineering Statistics, 2003 ASEE Annual Conference, NSF Grantees Poster Session.[7] Papadopoulos, C., Rahman, A, Bostwick, J., 2007 ASEE Annual Conference and Exposition.[8] Golanbari, M., Garlikov, R., Employing Socratic Pedagogy To Improve Students’ CriticalReasoning Skills, Teaching by Asking Instead of Telling, 2008 ASEE Annual Conference andExposition.[9] Liu, A
industry-supplied materials. Modeling software is used, with the actualCAD model being provided to the students (Figure 4), with enough information formodification(s) to be done by students.Figure 3. Powerpoint shot for Module 1. Figure 4. Solid model for relief valve (M2).The analysis material is based on SolidWorks Simulation; at the component level, the objective isto get students exposed to numerical analysis techniques to obtain performance information(Figure 5). Most of the calculations are CFD simulation for pressure drops (e.g., efficiency) as afunction of operational conditions. Tutorial on software use have been developed, and basiccomponents like valves, pipes, and gear pumps are used in this module. Students work
be slightly altered to reinforce the principles of diversity andinclusion as a consistent theme throughout the workshop. Finally, every seminar andevery piece of training literature should be reviewed with the specific awareness ofconsidering people of all races, genders and background.Clearly, this is not the final solution to a field that continues to evolve very quickly, but itrepresents a good start. Hopefully these steps will provide lessons learned and productivefeedback that will lead to even better changes in the future.Bibliography1 Estes, A.C., Ressler, S.J., Saviz, C.M., Barry, B.E., Considine, C. L., Coward, D., Dennis, N. D.,Hamilton, S. R., Hurwitz, D. S., Kunberger, T., Lenox, T. A., Nilsson, T. L., Nolen, L., O'Brien, J. J
Makerspaces, 1 being not at all and 7 being very much.ACKNOWLEDGEMENTS: This material is based upon work supported by the NationalScience Foundation under Grant No. EEC 1531375. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.REFERENCES:[1] D. N. Beede, T. A. Julian, D. Langdon, G. McKittrick, B. Khan and M. E. Doms, "Women in STEM: A Gender Gap to Innovation," Economics and Statistics Administration Issue Brief, vol. 04, no. 11, 2011.[2] R. M. Marra, K. A. Rodgers, D. Shen and B. Bogue, "Women Engineering Students and Self- Efficacy: A Multi-Year, Multi-Instituion Study of Women Engineering Student Self