: “For me it‟s more the math. Just because I relate really well to the algebra side of it where, okay here‟s the formula, manipulate it this way and this is what my outcome‟s going to be. But actually conceptualizing things and being able to explain like the picture of it and say, „This is what electricity is.‟ It‟s one of those things where I kind of wish I would understand that side better”.The interviews for this study were conducted as part of a larger study of student understanding ofdifficult concepts in both mechanical and electrical engineering. Reporting on the results of theinterviews with mechanical engineering students, Douglas et al.5 identified misconceptions thatstudents have about force and how
the principles of behavioralpsychology to develop a new teaching methodology. Keller, together with Gil Sherman, laterperfected the method -- known as the Personalized System of Instruction -- while teachingpsychology at the University of Arizona. From there, PSI spread to other disciplines and to otheruniversities. Billy Koen first applied the PSI method to engineering education in 1969 5. Basedon his success, other engineering instructors adopted the method. PSI courses were developed in Page 4.534.1many disciplines including Physics, Chemistry, Mathematics, Library Science, Biology, andeven Philosophy.The 1970's saw a rapid growth of PSI
- Transistor beta- “Stuck” process bus- Digital component timingObviously both power-of and power-on tests are of value to any electronics manufacturer. Astudent in a EET program needs to understand the basics of these tests, so that s/he has anunderstanding of manufacturers’ tests, and to that s/he can perform some of these tests whenassembling a project, thereby finding problems before power is applied in the overall projectsystem, with the accompanying risk of destroying all or part of the circuit. The power-on testsare difficult to do, since the guarding techniques used in industrial ICT systems are difficult toduplicate on a lab bench, especially at the freshman level. However, the student will have anunderstanding of the hierarchy of the in
formwater, and the water is subsequently removed in a Nafion counter-current dryer. The purge gasfor the dryer can be ambient air or nitrogen from a pressurized gas cylinder. The SF6 in the flowexiting the dryer is measured with an electron capture detector (ECD), and pumps are located atthe downstream end of the flow system to minimize dead volume and response time(approximately 0.5 s). The output from the ECD is an analog voltage signal (0-5 V) which canbe directed to a data acquisition system for storage. The lower detection limit with the RydockScientific microanalyzer is about 5 pptv. The instrument weighs 4.5 kg, is 46 cm by 15 cm by 30cm in size, and can operate on battery power in the field. It may be used in two modes: 1) as apost-sampling
mightbe true and that students, in fact, may be better than they used to be.Bibliography1. Gimmestad, B. J. (1989). “Gender differences in spatial visualization and predictors of success in anengineering design course.” Proceedings of the National Conference on Women in Mathematics and theSciences, St. Cloud, MN, 133-136.2. Terlecki, M. S. & Newcombe, N. S. (2005). “How Important Is the Digital Divide? The Relation ofComputer and Videogame Usage to Gender Differences in Mental Rotation Ability.” Sex Roles, 53 (5/6),433-441.3. Vandenberg, S. G., & Kuse, A.R. (1978). Mental rotations, a group test of three dimensional spatialvisualization. Perceptual and Motor Skills, 47, 599-604.4. Terlecki, M. S., Newcombe, N. S., & Little, M. (2008
, numeric integration).6. Themes: Each module must address the themes assigned below using in-class or out-of-class activities. You may “trade” themes from module to module. You may address more themes than your area has been assigned. • Analysis vs. design (E,G) • Maintenance and rehab (C,S) • Sustainability (C,T) • Planning (E,T) • Public financing (C,T) • Forecasting/modeling (E,T) • Societal impact (S,G) • Operations (E,C) • Ethical considerations (T,S) • Access (S,T) • Economic impact (T,C) • Risk (E,S) • Historical perspective (S,G
shaft vs. Shaft speed 120 20 m/s 15 m/s 100 10 m/s 5 m/s 80 Pshaft (W) 60 40 20 0 0 500 1000 1500 2000 2500 Shaft Speed (rpm) Fig. 1: Power vs. Shaft Speed curvesNote: The power shown in Fig.1 was scaled by a factor of 1/15 and a gear ratio of 50 was usedfor the shaft speed. This was
and Strengths of Materials CourseAbstractA lab-oriented course has been created to supplement lecture instruction in statics and strengthsof materials. The primary goal in initiating the course was to give students more problemsolving experience with a secondary goal of intuition-building hands-on experiences. Over 25activities have been developed with a limited budget.BackgroundSecond year students in Mechanical Engineering Technology take a four-credit lecture course instatics and strengths of materials during their fall semester. Prerequisites for the lecture courseinclude pre-calculus and college physics. The lecture course includes two-dimensional statics,stress and deformation for common loadings, and combined loadings with Mohr‟s
Performance(GRASP).IntroductionProficiency in engineering domains requires experience applying the governing principles withina specified domain and the tools needed to support the comprehension and monitoring of factorsindicating a system‟s performance (ability to achieve a function). These tools may appear simpleto describe in its form and function, but difficult to apply strategically to a context. The contextis defined as strategically, because it requires a multi-step logical, systematic interaction with Page 15.28.2domain knowledge. As experts we may be blind to this interaction1; therefore, we makeassumptions about what it takes for our
). Effects of Problem-Based Learning: A meta-analysis from the angleof assessment. Review of Educational, 75 (1) 27-61.8. Brown, J. S., Collins, A., & Duguid, (1989). Situated cognition and the culture of learning. Educational Researcher, 18, 32-42.9. Collins, A, Brown, J. S., & Newman, (1989). Cognitive apprenticeship: Teaching students the craft of reading, writing, and mathematics. In L. Resnick (Ed), Knowing, learning, writing, and instruction: Essays in honor of Robert Glaser (pp. 453-493). Hillsdale, NJ: Erlbaum.10. Palincsar, A. S., & Brown, A. L., (1984). Reciprocal teaching of comprehension-fostering monitoring activities. Cognition & Instruction, 1, 117-175.11. Lepper, M.R. & Henderlong, J
Foundation was followed with additionalfunding and equipment donation from industry and other organizations.AcknowledgementThis material is based upon work supplied by the National Science Foundation under grant No.0552885. Additional funding and support were generously contributed by Conacyt,Turbomachinery Research Consortium, Honeywell Turbo Technologies, NASA GRC, TRC,Capstone Turbine Corp, Haas, Unist, MA Ford, Cideteq, Comimsa, and Agilent Technologies.References[1] Chittipolu, S., Micromachining of 316L Stainless Steel, Thesis, Texas A&M University, 2008.[2] Hung N.P., Chittipolu S., Kajaria S., Makarenko M., Purdy A., Bickston L., and Williamson D., “Micromachining of 316L Stainless Steel,” Micro/Nano Manufacturing Conference, SME
registration; and 3) to motivate students to learnengineering concepts related to other fields by generating enough interest in the subject5, 6. Thepast research shows that motivating the students to learn in service courses is a challengebecause most students are unable to understand the link between the knowledge acquired in theservice courses and their majors7, 8.This longitudinal study was conducted on Electronic Instrumentation and Systems (EI&S)course, a typical service course offered by the Electrical and Computer Engineering (ECE)department of a large Midwestern university. The objective was to explore and understand theroot causes of why students underperform in service courses. The research question formulatedfor the study was: “What are
://www.nsf.gov/statistics/nsf10300/ (accessed October 15 2014).3) Candy, P. C. Self-Direction for Lifelong Learning. A Comprehensive Guide to Theory and Practice; ERIC. 1991.4) Smerdon, E. T. Lifelong learning for engineers: Riding the whirlwind. 1996.5) Kraiger, K.; Ford, J. K.; Salas, E. Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of applied psychology 1993, 78, 311.6) Bloom, B. S.; Krathwohl, D. R.: Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain, 1956.7) Krathwohl, D. R.; Bloom, B. S.; Masia, B. B.: Taxonomy of educational objectives, handbook ii: affective domain. New York: David McKay Company
Russian innovative universities.The activities of KNRTU are oriented towards the innovative development and establishment ofnew PPP mechanisms. The additional professional education system of the University is open tothe experimentation with and integration of processes, testing the different forms of relevantinteraction among all of the interested parties involved in training and advancing pro-fessionalpersonnel to meet the highest demands of the modern labor market.In 2008, KNRTU developed the target program called „Additional Education as a Factor of theInnovation-Driven Development of the University‟. The aim of this program is to boost theuniversity‟s rating, its competitiveness and attractiveness on the market of the educationalservices
, and thus, this program was the first developed for formalarticulation during the mid-1990’s. During the 02/03 academic year, it was determined that theEngineering Technology areas represented a strong need for articulation. To provide access tothis student group, a new articulation initiative was undertaken allowing for a nearly 1:1 transfer.Curriculum Issues and Needs The NIU Engineering, Engineering Technology, and Industrial Technology programsrepresent a very diverse set of skills and fundamental abilities. Table 1 outlines the fundamentalcourse differences between the three areas involved in the articulation process. In addition to thebasic skill requirements within the programs, each program has outcomes that are
exchanger.“Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright Page 9.108.8©2004, American Society for Engineering Education” Table No. 1 Experimental Data for the Double Pipe Heat Exchanger Parallel Flow In/Out Flow Rates Temperatures Hot Water Cold Water Hot Water Cold Water UA (kg/s
shown a particle with three or four (depending on the problem) 3D forces acting on it (Fig. 2). Students were then Page 10.1454.4 asked to complete a short multiple-choice quiz to obtain a quantitative measure of their ability to Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Educationinterpret 3D information from the various media. The following question was asked for eachdimension of each force vector: For the force, is the s-component of the force a
✂✁☎✄✆✄✆✝✟✞✡✠☞☛✌✞✎✍✑✏✓✒✕✔✗✖ ✘ ✙ ✚✜✛✣✢✥✤✧✦ ★✩✤✫✪✭✬✭✚✯✮✫✚✱✰✲✤✫✳✵✴ ✚✱✶✷✛✸✤✹★✻✺✽✼✿✾✆✪✣✚✱✦ ❀❁✤✫✰✆✰✲✼✿❂❃✤✫✪❄✼❅✛✣✾❆✮✫✚ ❇❈✚❉✼❊✪❄✶✵✾✆✶✥❋ ✾✆✶ ✼ ●❍✚✱■❏✢✵✶✵✾✆■❑✼❊✰ ▲ ✾✲❋✫✢ ▼✧■◆✢✥✤❖✤✰ ◗❙❘❯❚❲❱❨❳ ✝✟❩❬✞❍ ❳ ✝❭✠❫❪❴✝❭❵✗✁☎❛✲❜❞❝❡✝✟❩❢✞✓✄ ❳ ✝❣☛ ❘ ❵ ❘✕❤ ✝❭✠✐✁☎❛❥❛ ❘ ✠✐❦❧☛✌✞✗♠ ❱ ✞♥ ❘ ✠✐✠✐✞ ❤ ✝♣♦ ❘ ❛ ❛ ◗ ♦✡✞✕qr✞❃s❆✠❨✄tq❢✝✟q ❱ qr✁❙✞✗✉✇✈❏✁☎① ❳ ✠✐✞✡②✟✞✗③✗♦✗❜⑤④ ❘ ① ❱ ②♣q
include solar photovoltaicsources to produce three-phase power. 3. SELF -EXCITATION IN A WOUND ROTOR INDUCTION MACHINE An induction machine connected to the mains driven below synchronous speed by aprime mover will experience a counter rotation between the rotor bars and the stator flux.Concomitantly, reversal of voltage and current from the machine windings to the mains occurs.Thus power is generated to the mains network and is governed by the following power limitequation of the induction machine, E 2t [X m + X s - X eq - 2rs ] (1) Pl = 2 (rs2 + (X m + X s )X eq )where Et is the terminal
twoor three smaller groups for hands-on labs. Table 1. 2021 CE103 training schedule. Day Group 1 Group 2 Group 3 Lecturer Time (hrs) Checkoffs Cruise Training Cruise Training Cruise Training 1 AM S 0.5 N Introduction Introduction Introduction AM Tools 01 Lounge Drill & Tap Tank Soundings H/W+M/F+G 2 N PM Tank Soundings Tools 01 Lounge Drill & Tap F+G/H/W+M 2 N
. 195–225, 2000.[12] L. J. Shuman, M. Besterfield‐Sacre, and J. McGourty, “The ABET ‘Professional Skills’ — Can They Be Taught? Can They Be Assessed?,” J. Eng. Educ., vol. 94, no. 1, pp. 41–55, 2005, doi: 10.1002/j.2168-9830.2005.tb00828.x.[13] C. E. Harris, M. Davis, M. S. Pritchard, and M. J. Rabins, “Engineering Ethics: What? Why? How? And When?,” J. Eng. Educ., vol. 85, no. 2, pp. 93–96, Apr. 1996, doi: 10.1002/j.2168-9830.1996.tb00216.x.[14] D. R. Haws, “Ethics Instruction in Engineering Education: A (Mini) Meta-Analysis,” J. Eng. Educ., vol. 90, no. 2, pp. 223–229, 2001, doi: 10.1002/j.2168-9830.2001.tb00596.x.[15] J. R. Herkert, “Engineering ethics education in the USA: Content, pedagogy and curriculum,” Eur. J
-correlation analysis of thewebcam eye tracking for the four testedparticipants revealed an average cross-correlation of 0.874 at an average lag of0.03 s (Fig. 5). To further assessrelative accuracy of the webcam eyetracking, average correlation valueswere calculated across the four subjectsunder different conditions. Thisincluded different distances from thescreen (1 ft, 2 ft, and 3 ft), the presenceor absence of eyeglasses, and in bothwell-lit and dark room environments(Fig. 6). The correlation values rangedfrom 0.80 to 0.91, where manyparticipants had lower correlation values in a dark room, though this was not statisticallysignificant.DiscussionQualitative analysis revealed that the most important features for the assessment of boredom
their skill sets andbe well versed in team dynamics. Students may be facing an overwhelming challenge to their learningand them attainting the course outcomes. This is particularly impacted by the team dynamics. Onesuggested answer to this pedagogical dilemma is for educators to have a clear idea on how to formteams that are more effective.This research addresses the following questions: What team formation method(s) has proven to besuccessful? Can identifying student learning styles be an effective means of forming balanced teams?This study investigated various methods typically used by educators to form teams. Examples of thesewould be random, self-selection, GPA, learning skills, and hybrids of these.During the first year of this study, the
Paper ID #40874An Interactive E-Learning Authoring Tool for Online Course Creation:Utility, Challenges and OpportunitiesDr. Kenneth Stafford Sands II, Auburn University Kenneth S. Sands II is an Assistant Professor at Auburn University.Dr. Min Jae Suh, Sam Houston State University Assistant Professor in the Department of Agricultural Sciences and Engineering Technology at Sam Hous- ton State University. Ph.D. from Virginia Tech M.S. from Stanford University B.S. from Yeungnam Uni- versity in South Korea ©American Society for Engineering Education, 2024 An Interactive E-Learning Authoring
professional growth. As a result, theCumulative GPA, Retention Rate, and Graduation Rate of these NSF STEM Scholarssignificantly increased, and graduation time needed significantly decreased compared to theirpeers.5. AcknowledgementNational Science Foundation, NSF S-STEM Award#1564893 and Award#2129961.References[1] Commission on Professionals in Science and Technology, (2018). Four Decades of STEM Degrees, 1966-2004: The Devil is in the Details, Commission on Professionals in Science and Technology, Accessed May, 2020 from http://www.careercornerstone.org/ccnews/pdf/ stem6report.pdf[2] Olson, S. & Riordan, D. G., (2012). Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology
. (1998). Gender Differences in Visualization Skills-An International Perspective. The Engineering Design Graphics Journal, 62(3).3. Leopold, C., Górska, R. A., & Sorby, S. A. (2001). International Experiences in Developing the Spatial Visualization Abilities of Engineering Students. In Journal for Geometry and Graphics (Vol. 5, Issue 1).4. Veurink, N. L., Hamlin, A. J., Kampe, J. C. M., Sorby, S. A., Blasko, D. G., Holliday-Darr, K. A., Trich Kremer, J. D., Harris, L. V. A., Connolly, P. E., Sadowski, M. A., Harris, K. S., Brus, C. P., Boyle, L. N., Study, N. E., & Knott, T. W. (2009). Enhancing Visualization Skills-Improving Options aNd Success (EnViSIONS) of Engineering and Technology Students. The Engineering
opens a wide range of opportunities to investigate other strategies to implementnarrative pedagogy in FYE. In order to validate this innovative approach, we will collectadditional data during Spring 2025 in order to investigate instructor and student experiences bycollecting surveys, interviews, videos, and classroom observation. In the future, we plan toexplore additional strategies for incorporating narrative elements and modifying course materialswith less effort required from the instructor.References[1] S. Chatman, Story and discourse: Narrative structure in fiction and film. Ithaca, NY: Cornell University Press, 1978.[2] L. R. Churchill and S. W. Churchill, “Storytelling in Medical Arenas: The Art of Self-Determination,” Lit
residential load. Page 24.1045.15Bibliography 1. http://en.wikipedia.org/wiki/Renewable_energy 2. http://www.eia.gov 3. http://www.nrdc.org/energy/renewables/wind.asp 4. http://www.bnl.gov/GARS/SET/LISF.php 5. http://www.californiasolarstatistics.ca.gov/ 6. http://en.wikipedia.org/wiki/Solar_power_in_California 7. Smith, C; Sen, P; Kroposki, B; “Advancement of Energy Storage Devices and Applications in Electrical Power System.” Power and Energy Society General Meeting – Conversion and Delivery of Electrical Energy in the 21st century, 2008 IEEE. Publication Year: 2008, Page(s): 1-8. 8. Faruk,A
7. Bussey, K., & Bandura, A. (1999). Social cognitive theory of gender development and differentiation. Psychological Review, 106(4), 676-713. doi: 10.1037/0033-295X.106.4.6768. Chiaburu, D., & Marinova, S. (2005). What predicts skill transfer? An exploratory study of goal orientation, training self-efficacy and organizational supports. International Journal of Training and Development, 9(2), 110-123. doi: 10.1111/j.1468-2419.2005.00225.x9. Colquitt, J., LePine, J., & Noe, R. (2000). Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. Journal of Applied Psychology, 85(5), 678-707. doi: 10.1037/0021- 9010.85.5.67810. Eagle, M. N. (2011). Theories of
: Envisioning a Research Discipline and a Domain of Practice. In Proceedings of the LAK ‘11 (Vancouver, Canada, April 29-May 02, 2012).[9] Haythornthwaite, C. 2011. Learning networks, crowds and communities. In Proceedings LAK ‘11, (Banff, Alberta, Canada, February 27 – March 01, 2011).[10] Suthers, D., Hoppe, H. U., Laat, M. and Simon Buckingham, S. (2012). Connecting levels and methods of analysis in networked learning communities. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, (Vancouver, British Columbia, Canada, April 29 – May 02, 2012). LAK '12. ACM, New York, NY, 11-13.[11] Ferguson, R. and Buckingham Shum, S. 2012. Social learning analytics: five approaches. In Proceedings