, these students will be more equipped with themulticultural experience and know-how compared to their peers. Page 25.670.17CreditsThe authors would like to thank the National Science Foundation (NSF#0966561) for fundingthis project. Great appreciation goes to Larsen and Toubro in Chennai, India, for facilitating ourwork on this project, especially Mr. Rajan Venkateswaran (Head of CEFD) as well as Mr.Nandakumar B. S. and Mr. Rajasekar Elangovan for their help and support.Disclaimer:The views and opinions expressed in this case study solely expressions of the authors and do notnecessarily reflect the official policy or position of the National
content score reflects total Page 25.694.7points earned, without any deductions for misconceptions, while the overall score accounts for 6those deductions. From this data, it is evident that equal amounts of the deductions from theassertion-evidence content scores come from each of the four categories, whereas many of thetopic-subtopic deductions come from major process misconceptions. One possible reason for the lack of a statistical difference is that in this experiment, thevisual evidence used for the topic-subtopic slides was very similar in quality to the assertion-evidence condition. For
analysis ofthe exam results shows that there is no significant distinction between hybrid learning andtraditional study. The survey results reflected the growth of students’ computer knowledge andthe acceptance of new technology application to today’s classes.It is believed that with continuously improving instructional videos, assessment methods, use ofup-to-date technology, hybrid design in the course will be accepted by more students, andprovide a more effective way of self-learning and interactive laboratory practice experience ascompared to traditional classroom style.References[1] A. Azemi, L.L. Pauley, "Teaching the Introductory Computer-Programming Course for Engineering Using Matlab and Some Exposure to C," 2006 ASEE Annual
," Page 25.711.11 Interchange, vol. 1, pp. 64-85, 1970.[3] J. Bean, "Dropouts and turnover: The synthesis and test of a causal model of student attrition," Research in Higher Education, vol. 12, pp. 155-187, 1980.[4] E. Seymour, "Tracking the processes of change in US undergraduate education in science, mathematics, engineering, and technology," Science Education, vol. 86, pp. 79-105, 2002.[5] V. Tinto, "Stages of student departure: Reflections on the longitudinal character of student leaving," The Journal of Higher Education, vol. 59, pp. 438-455, 1988.[6] M. Besterfield-Sacre, et al., "Characteristics of Freshman Engineering Students: Models for Determing Student Attrition in Engineering," JOURNAL OF
Huntsville (UAHuntsville) College of Engineering has established acapstone senior design sequence that provides real-world design experience. The concept ofusing a capstone design course as a summative activity within an engineering program is rootedin the constructivist theory of authentic learning. Authentic learning is a process of creatingknowledge through meaningful experiences, such as real-world problem-based activities.5Authentic learning experiences can be distilled down to 10 design elements: (1) real-worldrelevance, (2) use of an ill-defined problem that cannot be easily solved, (3) the need forsustained investigation, (4) the need for multiple sources and perspectives, (5) collaboration, (6)constant reflection, (7) interdisciplinary
-parameter relationships Homework assignments should be based upon the data collected in the laboratoryZemke et al. identifies design features for cooperative learning activities used in anundergraduate engineering laboratory: [13] CL activities need to be everyday relevant CL activities need to incorporate visual elements CL activities need to have working groups CL activities need a pre-lab to facilitate student prediction of lab results Students need sufficient theoretical background to complete CL activities CL activities need clear directionsHis findings reflect the responses of a high majority student population and show that the properimplementation of cooperative learning events enabled
Department of Education (ED) Grant 9031C080057-09. Any opinions, findings andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of NSF and/or Department of Education.Bibliography [1] Cisco Academy, (2009), “Master a Language that Increases Your Career Potential”, Cisco Academy Report,[2] Council of University Presidents: New Mexico Universities, (2011), “Performance Effectiveness Report”, NewMexico, USA. [3] Fleming, L., Engerman, K., and Williams, D., (2006), “Why Students Leave Engineering: The unexpectedbond”, Proceedings of the 2006 American Society of Engineering Education Annual Conference and Exposition,Chicago, IL.[4] Fujinoki, H., Christensen, K.J., and Rundus, D
, studentschose to undertake a deeper analysis of lead time variability thereby demonstrated how areduction in supplier lead time variability can improve the bottom lines of ABC Medical. Exhibit6 graphically describes the negative correlation between the lead time variability and theadditional revenue for the company. In other words, the reduction of lead time variability willreduce the need for safety stock thereby reducing the overall cost of inventory. This savings willeventually be reflected in the company earnings before profit, taxes & deductions (EBTDA), andreturns on net assets as shown in Exhibit 6. Page 25.751.10 Exhibit 6: Impact of reduction in lead time on the profitability
, findings, and conclusions or recommendations expressed in this paper are those ofthe author and do not necessarily reflect the views of the National Science Foundation.References:1. Janzen, D. and Saiedian, H., “Test-driven Development: Concepts, Taxonomy, and Future Direction,” IEEE Computer, 38(9): 43–50, September 2005.2. Myers, G. J., Sandler, C. (revised by), Badgett, T. (revised by), and Thomas, T. M. (revised by), The Art of Software Testing, 2nd Edition, John Wiley & Sons, June 20043. National Institute of Standards and Technology, “The Economic Impacts of Inadequate Infrastructure for Software Testing,” NIST Planning Report 02-3, May 20024. Leblanc, R., Sobel, A., Diaz-Herrera, J. L., and Hilburn, T. B., “Software
. This approach to instruction in the classroom has been proven effective time after time, and is reflected in positive student and peer evaluations since it has been implemented. This approach requires the instructor to be able to solicit help. The author defines getting help from outside sources, “utilizing resources”, and considers it a strong tool for qualified educators to turn to if and when they need to increase their classroom competency levels on a particular subject. During the author’s graduate studies in training and development several controls were identified that should be addressed to secure a positive learning environment. They are: the environment itself, an instructor’s pedagogy process, the
verbatim material that can then be appropriately quoted6. evaluate a website for authority, reliability, credibility, purpose, viewpoint, and suitability7. reflect on past successes, failures, and alternative strategies by maintaining a log of information seeking and evaluating activities8. communicate clearly and with a style that supports the purposes of the intended audience9. demonstrate an understanding of intellectual property, copyright, and fair use of copyrighted material10. select an appropriate documentation style and use it consistently to cite sources11. confer with instructors and participate in class discussions to identify a research topic, or other information needed12. define or modify the information need to achieve a
. Page 25.778.1 c American Society for Engineering Education, 2012Infusing the Curriculum with Cutting-Edge Technologies through Partnerships with IndustryAbstractTo ensure that curricula and course content reflect both academic and industrystandards the School of Engineering and Computing Sciences (SoECS) at NYITbelieves that course content must include elements of contextual teaching andlearning (CTL) which emphasizes the relationship of course content to real-lifesituations1,2. It is expected that CTL which incorporates 1. hands-on activities 2. work-based learning experiences and 3. project-based learningwill engage today’s students more thoroughly than the traditionallecture
calibrate the different sensors that come with the robot. Theseinclude: 1. The light sensor to quantify what percentage of reflected light from a color of tape, table, or floor corresponds to a color; 2. The motor rotation angle turned to the distance traveled by the robot based on the chosen wheels and configuration; 3. The ultrasound sensor to measure distance to an object; 4. The sound sensor to gauge response to sounds; 5. The touch sensor to show “true” if touched vs. “false” if not.The next two weeks are spent by students programming the robot to follow a line of blue tapeusing the light sensors without straying. The robot must do this without being confused when itgoes through a tunnel where the light changes.In
to tame the “chaos” and generatenon-intuitive insights. Successful communication of goals and benefits would ensure thatstudents not only learn through experience but also achieve the second level of reflection neededto recognize what they learn and carry it forward.Term project. The most effective tool for making engineering systems thinking less abstract wasthe term project. Using a term project provides context that helps students learn to recognize Page 25.797.8systems and systems behavior and to apply engineering systems evaluation and design tools.Systems thinking is inherently process-based. In this course, it is not so much the
employed the use ofscenarios for classroom discussion. During Week two, students were given engineering-relatedscenarios to decide if plagiarism occurred. There was also a short exercise on when to cite.During week five, students identified parts of and types of citations. Since students were incomputer classrooms, they were also directed to find citations online. Citations were chosenfrom various engineering databases to reflect current engineering topics. During week eleven,students were asked to “Name that Trademark” and search for patents on the USPTO website.Some engineering trademarks were chosen as well as popular trademarks. Patents wereselected from the National Inventors Hall of Fame as well as from campus patents andapplications.In
., Hu, L. and Garcia, B. F. (2001). “Academic Self-Efficacy and First-Year College Student Performance and Adjustment.” Journal of Educational Psychology, 93, 1, 55-64.[10] Friedlander, L. J., Reid, G. J., Shupak, N., and Cribbie, R. (2007). “Social Support, Self-Esteem, and Stress as Predictors of Adjustment to University among First-Year Undergraduates,” Journal of College Student Development, 48, 3, 259-274.[11] Meyers, K. L., Silliman, S. E., Gedde, N. L., and Ohland, M. W. (2010). “A Comparison of Engineering Students’ Reflections on their First-Year Experiences.” Journal of Engineering Education, 99, 2, 169-178.[12] Hackett, G., and Betz, N (1981). “A Self-Efficacy Approach to the Career Development of Women
informed decisions and providethem with the ability to adapt to future environments and act independently on acquiredknowledge. University Core courses expose students to multiple literacies, technologies, andsensitivity to diversity, as reflected in the particular course content. Another goal of theUniversity Core is to engage students in developing a sense of their place in our urbanenvironment and in the greater global environment. Thus, when submitting ENGR 3400 and3600 to the Core Committee, the reasoning was that goals and objectives of these engineeringcourses would fit well within the mission of the University’s General Education CoreRequirements and satisfy core curriculum requirements at the University level. The courseswere then
classes. The presence ofMET students in participants reflects those students taking classes outside their major. No. of Participants by Major 40 35 30 No. of Students 25 20 15 10 5 0 EE ME MET Mechatronics Civil Engr
Instruction, 2003. 13(2): p. 125-139.11. Sambrook, S., Factors influencing learners' perceptions of the quality of computer based learning materials. Journal of European Industrial Training, 2001. 25(2/3/4): p. 157-167.12. Killen, R., Effective teaching strategies : lessons from research and practice. 5th ed. 2009, South Melbourne, Vic.: Cengage Learning. x, 374.13. Department of Education, Queensland, Productive Pedagogies: Classroom reflection manual. 2002.14. Moebs, S.A., A learner, is a learner, is a user, is a customer: QoS-based experience-aware adaptation, in Proceeding of the 16th ACM international conference on Multimedia. 2008, ACM: Vancouver, British Columbia, Canada. p. 1035-1038.15. Reichl, P., B
supervised by an engineering systems Ph.D. student or faculty member, and wereconducted in small teams over the course of the entire semester. The projects served to engagethe students’ interest and provided real-world examples for applying the concepts and methodsintroduced in the lectures. This two-pronged approach is illustrated in Fig. 2. Page 25.840.6Figure 2. Two-pronged approach to course design: theoretical instruction and practical applicationThe lecture topics were selected carefully to reflect the introductory level of the course, but alsoto enable the students to acquire understanding of important concepts related to complex,sociotechnical
. Page 25.862.9 Vassiliadis et al., Rocket Payload Development Fig. 9. Cosmic-ray experiment measurements with flight stages indicated (2010). Fig. 10. Radio sounding of ionospheric plasma (2011). Left: transmission of a MHz pulse andrecording of the reflected pulse amplitude (active sounding). Right: fluctuations of the undisturbed plasma(passive). The amplitude of the recorded pulse is plotted versus time from launch. A third mode (not Page 25.862.10shown) used two GHz frequencies tuned so that their beat frequency of a few MHz resonated with theplasma
reflect the views of the NSF. Page 25.892.17References[1] Millard, Don, "Work in Progress: Hands-On Exploration of the "Big Ideas" in Electric Circuits," 36th ASEE/IEEE Frontiers in Education Conference, San Diego, CA, October 28-31, 2006, pp. M4D-3 to M4D-5.[2] Martinez, Angel and Steve Warren, "RASCL: A Portable Circuit Prototyping Laboratory," 2007 Annual Conference and Exposition, American Society for Engineering Education, Honolulu, Hawaii, June 24-27, 2007.[3] Millard, Don, "Workshop - Improving Student Engagement and Intuition with the Mobile Student Pedagogy," 38th ASEE/IEEE Frontiers in Education
conclusions. Page 25.950.22. Sorting AlgorithmsSorting algorithms can be classified by the following features: Computational Complexity of Comparisons Computational Complexity of Swaps Memory Usage Recursion Stability General Method Used (e.g. Merging)The sorting algorithms used in game development should reflect the best combination of all thesefeatures. A game may use several different sorting algorithms depending on the amount and typeof data, and the degree to which that data is partially sorted.2.1 Heap Sort: “The Heap Sort is well known as the hacked sort because heaps were nevermeant to
newhigh school graduates, student retention, getting them engaged, and enhancing their skill-set. BillGates has rightly said, “Our current expectations for what our students should learn in schoolwere set 50 years ago, to meet the needs of an economy based on manufacturing and agriculture.We now have an economy based on knowledge and technology.”For today’s students, classrooms are not the only form of learning space. They are goal oriented,prefer multitasking, learning in social contexts, and thrive on smart phone app Objective-C is anelegantly reflective language based on C with added Smalltalk style object oriented conceptswhich optimizes Model-view-Controller (MVC) software architecture. It is often used in tandemwith a fixed library of
taskwas completed in a quick time of sixty three seconds. The first half (30 seconds) of the activitysees the participant complete one full revolution of the problem-solving cycle; this was done in adetermined and fluid motion. Problem area was determined early with the appropriate knowledgeand procedures being effectively selected, implemented and assessed. The cycle shows thatParticipant A considered the concept and knowledge (item 10) after each generate and testheuristic (item 22). The second half of task activity sees the participant’s cognitive procedures in ascattered formation: this was observed as the participant being reflective on the final critical stepson completing the initial test, ensuring that the process/plan is carried out
-1106529, Research Experience for Teachers in Manufacturing for Competitiveness in theUnited States (RETainUS). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. Page 25.13.12Appendix – PHREEQC Program Input Files USING HYDROGEN USING DITHIONITESOLUTION 1 PHASES Temp 25 Dithionite pH 7 Na2S2O4 = 2Na++ (S2O4)2- pe 4 Log_ k -4.58
cost low.AcknowledgementsSupport provided by the National Science Foundation CMMI-1000954. Any opinions, findings,and conclusions or recommendations expressed in this paper are those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] Lidwell, W., Holden, K., and Butler, J., Universal principles of design: 125 ways to enhance usability, influence perception, increase appeal, make better design decisions, and teach through design: Rockport Pub, 2010.[2] Otto, K.N., and Wood, K.L., Product design: Techniques in Reverse Engineering and New Product Development, NJ: Prentice Hall, 2000.[3] NASA," Common Lunar Lander Detailed Design Study",JSC-26094,Houston, TX, 1993.[4
nature answering questionssuch as; Why do faculty express certain motivation values? and What motivates faculty to teachthe capstone design course? Addressing such questions can help the capstone communitydevelop its most critical resource: dynamic, engaged teachers.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.0846605. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References1. Pembridge, J.J., "Mentoring in Engineering Capstone Design Courses: Beliefs and Practices across Disciplines." Engineering Education, Virginia Polytechnic
with many common tools andbecome more familiar with the OEDK and its resources. During the prototyping phase of ENGI120, the fabrication mentors offer office hours in the OEDK to help the design teams constructand test their prototypes.Assessment of ENGI 120 ProgramStudent SurveysAssessment was conducted at the end of the semester. In the survey, student perception onimprovements in skills, including engineering design, problem-solving, technical writing, andteamwork was probed. Student’s self-efficacy toward engineering and their decision-makingregarding an engineering major were also probed. The authors recognize that these data are self-reported, and may not reflect actual improvement in skills.The students’ perceptions of how they are
ultimately uses IaaS utilities. In addition, the project identified different levels of difficulties in courses to explore more than one layer of cloud services. Figure 4: The proposed CBECS architecture mapping Computer Science courses to the Cloud architecture (courses appearing in multiple layers have different levels). Moving from the SaaS layer to the PaaS reflects the increase in the depth, difficulty, and complexity of a course. Likewise, the move from PaaS to IaaS indicates complexity of a course Page 25.318.8with respect to the needs for details in VM configuration, networking