Coll Univ. 2013.5. Brownell JE, Swaner LE. High-Impact Practices: Applying the Learning Outcomes Literature to the Development of Successful Campus Programs. PEER Rev. 2009.6. Kuh GD. High-Impact Educational Practices: What they are, who has access to them, and why they matter. Assoc Am Coll Univ. 2008.7. Wenzel T. Definition of Undergraduate Research. Counc Undergrad Res Q. 1997;17.8. Laursen S, Hunter A, Seymour E, Thiry H, Melton G. What is Known About the Student Outcomes of Undergraduate Research? In: Undergraduate Research in the Sciences: Engaging Students in Real Science. San Francisco, CA: John Wiley & Sons, Inc; 2010.9. Pajares F. Self-efficacy beliefs, motivation, and achievement in writing: A
chosen twoexamples from both courses. In both cases the first examples comes from the beginning of thesemester and the second at the end of the semester. The examples are exactly taken from thedocuments the students submitted. These examples exemplify the type of thinking the students aredoing by combining writing and engineering exercises.Example 1 Thermodynamics2012 ENCH 300 ReflectionName:HW: 4Readings: 125-128 133-144Problems, Examples: About the problem on Tuesday, I do it another way. For Q+W=ΔU,ΔU= = =R , from PV=RT and PV1.55=K (K is a constant), we canget V =K/RT, V =RT/K, P=K/ V1.55; 0.55 -0.55Also since V-1.55= d(V-0.55), so W=- = R(T2-T1), Q= ΔU-WQuestions
Page 26.810.11zero, position increases the speed in one direction (red) along the constraint line, while movingthe slider down from the mid position increases the speed in the opposite direction (orange). Thethrottle is also selectable as either Q (heat) or W (work), and the associated rate of change in thespecific internal energy, as defined by the first law of thermodynamics, eq. (1), determinemovement along the constraint line. The adjustable slider and selectable constrain lines enablethe player to explore the entire surface at a fast or leisurely pace. This feature, along with thecontinuously updated “Current Position” information box allows the player to observe how thevarious thermodynamic properties change throughout the different
light designs. A decision was made to utilize z-axis designwithout mirrors.A budget was also created for this project and is presented in detail in Table 1 below. Page 26.19.4 Material Quantity (Q) Price (P) Total Cost (Q*P) Projector 1 $530 $530 Resin 2(Liters) $42 $84 Tint 1 $10 $10 Permatex Ultra 1 $6 $6 Black Hi-Temp RTV Silicone Gasket Maker Non-stick sheets 4 (Boxes
scale of 5, what is your experience using the followingPre and Post-Tests programming languages?Students took three workshops two hours each in the laboratory. They received a pre-test beforeand a post-test after each workshop. Please refer to Appendix A for the test items. Tests resultswere analyzed by comparing students’ performance before and after taking the workshop todetermine learning gains. Our quantitative variables were the Score Gain (SG), defined as themean difference between scores on each question, and the Average Normalized Gain (NG),defined as: 𝑁𝐺 = 𝑆𝐺/(𝑄 − 𝑝𝑟𝑒), were Q is the question value and pre is the
, IdealFirstly, descriptive statistics was performed to have an interpretation if there was a gapbetween expectations and perceptions. To determine the significance in differences wasused Mann Whitney test was used (Normality Test was used, but every Q had a non-normaldistribution). In Tangibles dimension, Q2 (Sequence on topics) and Q5 (Topics and RealExamples – Study Cases) as a significant difference between perception and expectation Page 26.1312.7(P100points willTedious be Course selected. TheseComfortprojects are in the “Projects with more weight” column, and
expert, the webinars are hosted on a videoconferencing platform that allows presenters and attendees to be seen simultaneously;there is no “sage on the stage.” Presenters begin with information about their experienceand expertise, but “Q&A” always makes up a large part of the discussion, allowingparticipants to develop a clearer understanding of how the strategies shared might applyon their campus. As such, these online webinars are not simply an opportunity to increaseknowledge; they are an opportunity to foster a sense of community among theparticipants.As part of the application process for Pathways teams, applicants are now required toinclude in their application the reasons why they want to be a part of the Pathwayscommunity of practice
Peer Instruction: A Study of Four Computer Science Courses. Proceeding of the 44th ACM technical symposium on Computer science education. ACM, 2013.[17] OpenDSA: Open Source Interactive Data Structures and Algorithms. http://algoviz.org/OpenDSA/. February 2015.[18] Open Learning Initiative at Carnegie Mellon University. http://oli.cmu.edu/. February 2015.[19] Senack, E. Fixing the Broken Textbook Market. U.S. Public Interest Research Group, Student PIRG, January 2014.[20] Simon, B., S. Esper, L. Porter, and Q. Cutts. Student Experience in a Student- Centered Peer Instruction Classroom. Proceedings of the ninth annual international
networks made up of multiple capacitors exclusively in series,parallel or hybrid series/parallel combinations. However, they were not asked in this course todetermine how the voltages split up across capacitors in a network (e.g. series) connected to avoltage source, as they were required to do with a series resistance (e.g. voltage divider) Page 26.362.10network. While they were expected to understand that the same amount of electric currentpasses through each and every one of the resistors in a purely series resistor circuit, they did notrecall or apply here the relationship between charge and voltage across a capacitor (Q = CV),that they
, Montomoli, F,A. D'Ammaro, “Uncertainty quantification and race car aerodynamics”, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 228, Pages: 403-411, ISSN: 0954-4070, 2014. 2. A. D'Hooge, L. Rebbeck, R. Palin, Q. Murphy, J. Gargoloff, and B. Duncan, “Application of Real-World Wind Conditions for Assessing Aerodynamic Drag for On-Road Range Prediction”, Paper #: 2015-01-155, SAE International 2015. 3. J. Dong, S. Erdogan, C. C. Lu C, and HS. Mahmassani, "State-Dependent Pricing for Real-Time Freeway Management: Static, Reactive, and Anticipatory", National Research Council (U.S.). Transportation Research Board Meeting 86th, Washington, D.C. 2,007. 4. J. Dong
cloud landscape described, categorized, and compared - by Johan Den Haan. Retrieved February 1, 2015, from http://www.theenterprisearchitect.eu/blog/2013/10/12/the-cloud-landscape-described- categorized-and-compared/[5] Dong, B., Zheng, Q., Yang, J., Li, H., Qiao, M. 2009. An E-learning Ecosystem Based on Cloud Computing Infrastructure. Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on , vol., no., pp.125,127, 15-17.[6] Education Solutions. Retrieved February 2, 2015, from http://microsoft.com/education/en- us/solutions/Pages/cloud_computing.aspx[7] Guoli, Z., Wanjun, L. 2010. The applied research of cloud computing platform architecture in the E-Learning area. Computer and Automation
for the Study of Opportunity in Higher Education.19 Schlossberg, N. K. (1981). A model for analyzing human adaptation to transition. Counseling Psychologist, 9(2), 2-18.20 Schlossberg, N. K. (1984). Counseling adults in transition. New York, NY: Springer Publishing.21 Schlossberg, N. K., Lynch, A. Q., & Chickering, A. W. (1991). Improving higher education environments for adults. San Francisco, CA: Jossey-Bass.22 Weiss, M. L., McKelfresh, D. A., & Yang, R. K. (2006). Transfer student marginality. Journal of Student Affairs, 15, 50-57.23 Diamond, A, M. (2012).The adaptive military transition theory: Supporting military students in academic environments (Doctoral dissertation
Arizona State University students succeed. Retrieved from http://www.knewton.com/assets-v2/downloads/asu-case-study.pdf 5. Small, D. (2002, May/June). An urgent call to improve traditional college algebra programs. MAA Focus. (Summary of the Conference to Improve College algebra held at the U.S. Military Academy, February 7– 10, 2002.) 6. DeBra, P. (2006). Web-based educational hypermedia. In C. Romero, & S. Ventura (Eds.), Data mining and e-learning (pp. 3–17). Southampton, UK: WIT Press. 7. Rajan, R. (2013). Adaptive learning market acceleration program RFP Q & A webinar. Retrieved from: gatesfoundation.org. 8. Brusilovsky, P., & Millán, E. (2007). User models for
- What Engineering Educators Ought to Know," in 120th ASEE Annual Conference & Exposition, Atlanta, GA, 2013. 5. Q. L. Nesim Halyo, "Use of Video Technology to Improve Student Learing," in 120th ASEE Annual Conference and Expostion, Atlanta, 2013. 6. Kurt Gramoll, G. Hai-Shuan Lam, "Practical Streaming Video on the an Internet for Engineering Courses On- and Off-Campus," in 1999 ASEE Annual Conference, 1999. Page 26.941.11 Page 10 of 10
(actual loads) and Q system (virtualloads) were provided. Students filled in the table provided based on the given information, thencalculated row and column summations to determine the total embodied strain energy in thetruss. Then students inserted values for member area, A, and modulus of elasticity, E, andsolved for truss deflection at the point of virtual load application.Interactive Lesson PlanOne detached member of the truss was circulated among the students so they could exert axialcompressive and tensile forces on member and experience individual member elongation andshortening. Then, a brief description of the model joints, geometry, and support conditions wasprovided. Students received a blank worksheet (see Figure 12, right, for the
, leadership, and entrepreneurship may increase the knowledge of how to start one’sown enterprise and recognize the technological opportunities for commercialization to improvedecision-making about starting a new venture; also education influences decisions aboutcapturing the business opportunities and turning them into successful ventures.Higher education plays a key role in delivering these concepts in lecture and practice settings.This paper has reported the practices and enhancements made in an MET3060 CNC MachiningPractices course. Technical topics were covered by course instructors. Subject matter experts ininnovation, leadership, and entrepreneurship have provided in-depth lectures and Q&As tocourse students. The success of the practice has
Exposition, Atlanta, GA, June 2013. Page 26.516.9 9. Bakrania, S., “Getting Students Involved in a Classroom with an iPhone App”, Proceedings of the 2012 ASEE Conference and Exposition, San Antonio, TX, June 2012.10. Kowalski, F. V., Kowalski, S. E., Gardner, T. Q., “Using Mixed Mobile Computing Devices for Real-Time Formative Assessment”, Proceedings of the 2013 ASEE Conference and Exposition, Atlanta, GA, June 2013.11. Hake, R. R., “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses, American Journal of Physics, 66-74, 1998.12
requirements of the subparts of the OSHAstandards given in Table 2 and ensure they are complied with to minimize liability issues. Table 2: US Department of Labor and Regulations Deemed Relevant for Machine Shops 29 CFR §1910 OSHA General Industry Standards7 OSHA Standard Subpart 1910 Subpart K - Medical and First Aid 1910 Subpart L - Fire Protection 1910 Subpart M - Compressed Gas and Compressed Air Equipment 1910 Subpart N - Materials Handling and Storage 1910 Subpart O - Machinery and Machine Guarding 1910 Subpart P - Hand and Portable Powered Tools and Other Hand-Held Equipment 1910 Subpart Q - Welding, Cutting, and BrazingReferences 1. Lisa W. Foderaro: “Yale Student
Meeting2005: San Diego, CA.[8] Abdelrahman, M., Pardue, S., Baswell, M., and Currie, K., Addressing the Image and Human Resource Issues ofCasting Industry through Multidisciplinary Research Experience for undergraduates. AFS Transactions, 2007.115(07-051): p. 13.[9] Abdelrahman, M., and Pardue, S., Student as Principal Investigator, A Model for an REU Experience, in NSFEEC Awardees Conference2009: Reston, VA. Page 26.992.7[10] Jin, K., Li, H., Yang, Li, and Song, Q., Introducing Entrepreneurship Thinking into STEM Curriculum throughHands-on Projects, the 3rd International Conference New Perspectives in Science Education, 2014.[11] Xu, Y
., Yang Q, Nilsson C.-H., Jun J, Larsson A., Warell A. (2014). “Fostering Automatic Control students to become innovators”, In procedings of 19th World Congress International Federation of Automatic Control (IFAC), South Africa, September 2014.9. Kansanen, P. (1999). Teaching as Teaching-Studying- Learning Interaction. Scandinavian Journal of Educational Research, 43(1), 81 - 89.10. Knight F. H. (2002). Risk, Uncertainty and Profit. Beard Books.11. Muljadi P. (2011). Entrepreneurship. A group of ideas around entrepreneurship. PDF generated by the open source mwlib toolkit See http://code.pediapress.com/ for more information. PDF generated Dec 14, 2011.12. Prince M. and Felder R. (2006). Inductive teaching and learning methods
-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 2000. 55, 68–7823. Lee, J. Q., McInerney, D. M., Liem, G. A. D., & Ortiga, Y. P. The relationship between future goals and achievement goal orientations: An intrinsic–extrinsic motivation perspective. Contemporary Educational Psychology, 2010. 35(4), 264-279.24. McInerney, D. M., & McInerney, V. Educational psychology: Constructing learning (5th ed.). Frenchs Forest, NSW: Pearson. 2010.25. Gliem, J. A., & Gliem, R. R. Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest Research-to-Practice Conference in Adult, Continuing, and
Pedagogy,Virginia Tech, Blacksburg, VA.Harteveld, C. (2012). Making Sense of Virtual Risks, A Quasi-Experimental Investigation into Game-BasedTraining, IOS Press, Fairfax, VA.Mayer, I. (2009). The Gaming of Policy and the Politics of Gaming: A Review, Simulation & Gaming, 40(6) 825–862Mayer, I., Bekebrede, G., Harteveld, C., Warmelink, H., Zhou, Q., van Ruijven, T., Lo, J., Kortmann, R., andWenzler, I. (2013). The research and evaluation of serious games: Toward a comprehensive methodology, BritishJournal of Educational Technology, doi:10.1111/bjet.12067Nikolić, D. (2011). Evaluating A Simulation Game In Construction Engineering Education:The Virtual ConstructionSimulator 3, Dissertation in Architectural Engineering, Department of
). Third dimension line: distances between the grid lines Fourth dimension: overall dimension of the building. p. Tags: Tags, in sequential order, must be included for all the doors, windows and rooms (room name, number and room area). Rooms shall be renamed to reflect their usage, e.g. Conference Room, Office, etc. (2 points) q. 3D Camera View: Create a view looking from the front of the building. (2 points) r. Sheets: At least two sheets must be created, one for the floor plans and one for the elevation and section plans. (2 points) s. Exterior Rendering: A realistic exterior view shall be created at a “medium” detail level, and saved to as a JPG file. (2 points) t. Create a Walkthrough: starting from
Teaching. John Wiley & Sons, 2010.[13] Devin R. Berg. Evaluation of student learning outcomes due to self-guided engineering analysis of surroundings. In 2014 ASEE Annual Conference and Exposition, Indianapolis, IN, June 2014. ASEE.[14] Raymond Cleveland. An impact #engmech https://vine.co/v/OKOQmi03xmH, October 2014. URL https://twitter.com/rayscleveland/status/518826491036303362.[15] Twitter / search - #engmech. URL https://twitter.com/search?q=%23engmech&f=realtime.[16] Patrick Rohlfing. The tension in the line to over come ff in the bearings and the mass moment of inertia to spin is 1/16oz #engmech pic.twitter.com/j2j3xt6hjv, November 2014. URL https://twitter.com/pj rohlf12/status/529673177639952384.[17] Travis
, while the cumulative population of students who did not take EGR 101 isshown if Figure 4b. #))*$+,-$./.$0/120/3$456789:$&5;$0/<20/=$4561>8:$ +,,-"./0"#!#"1!'21!$" +,,-"./0"#!#"1!321!&"#*!" #!%" )*+$,-'$#&./$012$343$5446547$89:;;;;?8,80.9"60;,260"&*6%,>'==,@555A>'==,@55B,2'&6*6%,7278,!"%&"", M99N",-.)#)"K#&OK#'" M99N",-.)#)"K#POK#A" Q?C"R9E"M7N?:?0@",-." B0C?:,:0.;"60'==,@555A>'==,@55B,2'&6*6%,929
Engineering. Committee on Coastal Engineering Research and Education Needs, National Research Council. ISBN: 0- 309-51810-5. Washington, DC: National Academy Press, 1999. 3. Whalin, R. W., and Pang, Q. 2013. “Coastal, Ocean and Marine Engineering Graduate Education: A 2012 Health Assessment.” Paper #5985 presented at the annual meeting of the 120th American Society of Education Engineering, Annual Conference & Exposition, Atlanta, Georgia, June 23–26. Page 26.1638.9
on Q UATLM with U = 5000 W/m2·ºC for a feedwater heater U = 500 W/m2·ºC for the condenser U = 25 W/m2·ºC for the high temperature heat exchanger (Thot _ in Tcold _ out ) (Thot _ out Tcold _ in ) TLM (Thot _ in Tcold _ out ) ln (Thot _ out Tcold _ in ) Turbine log 10 (purchased cost
enthralled with the one-on-one interactions with this iconic teamas seen in Figure 4. The presentation content and TTU team’s competency boosted the Indianteams’ energy as reflected in the written student feed-back shown below in Table 1. The resultsshow that students gave high scores (8.26 or higher out of 10) to the TTU team’s presentationstyle, competency, and with the Q & A session. Page 26.1659.7 Figure 2. Vellore workshop Figure 3. Demonstration by the 2011 championship vehicle Page 26.1659.8Figure 4. One-on-one interactions with TTU Baja team members and Indian
Outcomes. Am. J. Distance Educ. 20, 127–141 (2006).3. Stith, B. J. Use of animation in teaching cell biology. Cell Biol. Educ. 3, 181–8 (2004).4. Sanger, M. J., Brecheisen, D. M. & Hynek, B. M. Can Computer Animations Affect College Biology Students’ Conceptions about Diffusion and Osmosis? Am. Biol. Teach. 63, 104–109 (2001).5. Animations of Unseeable Biology. at 6. BioVisions at Harvard University. at 7. The Khan Academy. at 8. MIT Open CourseWare - Courses in the Biology Department. at 9. Kyrk, J. Cell Biology Animation. at 10. Free Biology Animations. at 11. BioNetwork. Hydrophobic Interaction Chromatography (GFP Purification Part 4 of 6). (2014).12. Comolli, N., Kelly, W. & Wu, Q. The Artificial Kidney