experience contributed to more immediate student buy-in tothe use of system’s engineering principles. Also, members of the samurai-type sword groupsbeing substantially similar to the previous year meant that many group dynamics issues hadalready been worked through. For the NASA ESMD group, there were only 3 seniors in theeight students and, as the project was new, no prior directly-relevant design knowledge existedwithin the group. This resulted in longer time for student buy-in to occur and for the group Page 15.904.7dynamics to become settled. Also, the previous group development in the samurai-type swordgroups had led to the natural leader(s
indispensible ingredients of a successful career in engineering, thusfulfilling some of the program educational objectives.Bibliography 1. Schuster, P., Davol, A. and J. Mello, “Student Competitions - The Benefits and Challenges,” Proceedings, 2006 ASEE Annual Conference (Washington, DC: American Society for Engineering Education, 2006). 2. Pierrakos, O., Borrego, M. and J. Lo, “Assessing Learning Outcomes of Senior Mechanical Engineers in a Capstone Design Experience,” Proceedings, 2007 ASEE Annual Conference (Washington, DC: American Society for Engineering Education, 2007). 3. Davis, D. C., Crain Jr., R. W., Calkins, D. E., Gentili, K. L., and M. S. Trevisan, “Competency-Based Engineering Design Projects
measure. The researchers intend to collect more data for thenext revision of the measure. We encourage future researchers to validate the CDFS for similarcross-disciplinary teams use.Bibliography1. Solomon, G. (2003). Project-based learning: A primer. Technology and learning - Dayton, 23(6), 20-20.2. Fruchter, R., & Emery, K. (1999). Teamwork: Assessing cross-disciplinary learning. Paper presented at the 1999 Computer support for collaborative learning Conference, International Society of the Learning Sciences.3. Agogino, A., Song, S., & Hey, J. (2007). Triangulation of Indicators of Successful Student Design Teams. International Journal of Engineering Education, 22(3), 617.4. Sage, A., & Rouse, W. (2009
objectives. A detailed questionnaire has beendeveloped and used in several courses to gather information on the opinions and reflections ofstudents on the learning opportunities offered them. In this unique survey, presented to thestudent not as a course evaluation but as survey of the student‟s opinions of his/her own learning,students are asked to evaluate their own ability to understand and apply the course knowledgeand skills objectives. Students are asked also to rate the course various learning opportunities –lectures, text, laboratories, etc. – insofar as each opportunity aided their learning in each courseobjective.The survey has provided valuable new information to the instructor to measure and meet notonly continuous improvements in
]: Ontario Institute for Studies in Education, 1967.[4] D. P. Ausubel and F. G. Robinson, School learning; an introduction to educational psychology. New York,: Holt, 1969.[5] J. Bruner, "Learning and thinking," Harvard Educational Review, vol. 29, pp. 184-192, 1959.[6] B. E. Cline, C. C. Brewster, and R. D. Fell, "A rule-based system for automatically evaluating student concept maps," Expert Systems with Applications, vol. 37, pp. 2282-2291, March 15, 2010 2009.[7] S. H. Harrison, J. L. Wallace, D. Ebert-May, and D. B. Luckie, "C-Tools Automated Grading For Online Concept Maps Works Well With A Little Help From "Wordnet"," in First International Conference on Concept Mapping, Pamplona, Spain, 2004.[8] D
was thepreferred way to create drawings. But as with everything else in today‟s society, technology isdriving change in the world of engineering graphics. The days of learning to draft on a board arequickly giving way to three-dimensional, parametric modeling as the preferred method ofconveying geometry and dimensions of a part.The PSU MET Program content was based on the historical program development versusmeeting defined and documented constituent driven objectives. The program evolved from adrafting, then machine design/drafting program to an ABET/TAC accredited engineeringtechnology program. The „baseline‟ program courses and course content matched the facultycredentials (2 faculty, 50%, engineering, 2 faculty, 50%, drafting) in 2000
. Larson, R. W., (2000). Toward a psychology of positive youth development. American Psychologist, 55, 170-18.6. Small, S., & Memmo, M. (2004). Contemporary models of youth development and problem prevention: Toward an integration of terms, concepts, and models. Family Relations, 53, 3-11.7. Harter, S. (1990). Self and identity development. At the threshold: The developing adolescent. In S. Shirley Feldman & Glen R. Elliott (Eds). At the threshold: The developing adolescent. (pp. 352-387). Cambridge, MA, US: Harvard University Press.8. Chartrand, T. L. & Bargh, J. A. (1996). Automatic activation of impression formation and memorization goals: nonconscious goal priming reproduces effects of
dialyzer (II) and delivered to the patient’svenous system via the use of tubes (VI & S) after being monitored for air bubbles, 2it is also at this stage that venous pressure is monitored. During this process theblood has to be kept at body temperature using a thermo management system.This cycle usually takes 2 to 4 hours and is done about 3 times a week. Thefrequency depends upon the severity of CKD. [3] Venous Blood [VI] S Filtered Blood from Dialyzer
they will encounter as they enter the workforce.Bibliography1. S. Datar, C.C. Jordan, S. Kekre, S. Rajiv, and K. Srinivasan, "The Advantages of Time-Based New Product Development in a Fast-Cycle Industry," Journal of Marketing Research 34 (1), 36-49 (1997).2. G. Kalyanaram and G.L. Urban, "Dynamic Effects of the Order of Entry on Market Share, Trial Penetration, and Repeat Purchases for Frequently Purchased Consumer Goods," Marketing Science 11 (3), 235-250 (1992).3. D. Hall and J. Jackson, "Speeding Up New Product Development," Management Accounting 74 (4), 32-36 (1992).4. M.A. Cohen, J. Eliashberg, and H. Teck-Hua, "New Product Development: The Performance and Time-to- Market Tradeoff," Management Science 42 (2), 173
, coupled with high anxiety and low self-efficacy can lead to low teachereffectiveness and lack of interest from the K-5 students. At our institution, The College ofNew Jersey (TCNJ), it was felt that the Department of Technological Studies, housed withinthe School of Engineering, was well positioned to provide a unique K-5 academic major bycombining the T&E with the M&S components of STEM, resulting in a program breadth thatmatches well the breadth of skills needed by a highly skilled K-5 teacher.Such a program was established at TCNJ in 1998 and is formally referred to as the Math-Science-Technology or MST program. The program has substantial requirements in allSTEM areas, and takes a truly integrated-STEM approach. To the authors
is also to be collected with respect to instructor time for delivery;instructor experience; student experience; and student interaction in groups. Results will bepresented at the conference.Bibliography1. Grassman, S., “Teaching Engineering Economics via Distance Education,” Proceedings of the ASEE AnnualConference and Exposition, 2002.2. Ibrahim, W. and R. Morsi, “Online Engineering Education: A Comprehensive Review,” Proceedings of theASEE Annual Conference and Exposition, 2005.3. Kolowich, S., “Going for Distance,” Inside Higher Education, www.insidehighered.com, August 31, 2009.4. Kolowich, S., “Learning from Online,” Inside Higher Education, www.insidehighered.com, December 7, 2009.5. Thiagarajan, G. and C. Jacobs, “Teaching
. Reputation systemsA reputation system is a way of measuring the reliability of ratings. Scores assigned byreviewers and metareviewers can be factored into a student's reputation. Several algorithms[4, 5, 6] have also been published for determining reviewer reliability, based only on thescores assigned by reviewers. These algorithms consider (i) consistency of scores assignedby this reviewer with scores assigned by others to the same work, and (ii) spread, how muchthe highest score the reviewer assigned differs from the lowest score (s)he assigned. Somealgorithms also consider (iii) leniency, the tendency of a reviewer to give scores that arehigher than other reviewers. Research [6] demonstrates that these algorithms provideeffective quality control
experience to enter the high technology workforce upon completion of BS degree; and5. Perform a regular and thorough assessment of the ET2 program that will be used for the contract reporting purposes and also will be an integral part of our standard program review process.In August 2008, NSF awarded us a four-year grant from its S-STEM program to support the ET2Transfer Scholars1. In support of this project, the university will contribute $50,000 to ensurethat continuing ET2 scholars have financial support after the grant expires and help themgraduate on time. This support indicates the university’s enthusiasm, a firm commitment ofservice to our EET students, and an endorsement of the goals and objectives of the ET2 program.For AY 2008-9, the
about and can effectively use this system,researchers at Missouri University of Science and Technology, supported by the NationalScience Foundation, have set out to explore creative and effective means of teaching this systemto students. There are many segments of GIS, but for the purpose of this study we will beevaluating the transportation module created by Missouri S&T scientists and engineers tocomplement the Geographic Information System learning tool.The transportation module itself is a web-based help system that contains categories to explainhow to use many of the transportation-related capabilities of Geographic Information Systems.This module is to act as an aid to learning the application of GIS. The purpose of this study isto
-Level Diagram.Mnemonic Encoding Operation NOP 0000 Do no operation. Takes 2's complement of the number in NEG 0001 the accumulator. Takes 1's complement of the number in NOT 0010 the accumulator. Rotates the accumulator data one bit to ROR 0011 the right (with wrap-around). Transfers the data from the accumulator OUT 0100 aaaa to the selected output port
data (b) ≠ the ability to function in teams (d) ≠ understanding of professional and ethical responsibility (f) ≠ the ability to communicate effectively (g) ≠ a recognition of the need for, and an ability to engage in life-long learning (i) ≠ a knowledge of contemporary issues (j) ≠ the ability to use some of the basic techniques, skills, and modern engineering tools necessary for engineering practice (k).If these outcomes are clearly articulated and effectively assessed by the TYC program, this willhelp the program articulate smoothly with the engineering program(s) at the four-yearinstitutions. Community college programs are advised to work with their four-year partner(s) todevelop an assessment and evaluation process that
transforms for the analysis of circuits in the s-domain including Bode plots and frequency response. Also, perform Fourier circuit analysis8-11.4. Use PSpice to simulate and analyze simple electronic circuits.The abovementioned courses have a laboratory component where students build simple electriccircuits and make measurements in the laboratory by using basic laboratory equipment, computersimulation tools, and work in teams.The course objectives are in agreement with ABET Criterion 3 outcome and assessment foraccrediting Engineering programs12. Page 15.699.3Assessment Method and Information GatheringThe next sections of the paper report the
the process. The specifics of equipmentdesign and simulation for other batch unit operations (distillation, filtration, crystallization, etc.)are not covered but are left for specific operations related to the group project.As an example of the differences between unsteady, batch operation and continuous operation,consider the preheating of a batch reactor with preheating of a continuous reactor in a continuousheat exchanger. The familiar, steady-state equations for a heat exchanger are the energybalances and the heat-exchanger design equation (assuming a utility of condensing steam, forexample) Q ? m& p C p , p ΦT p ? m& s νs ? UAΦTlm F (1)where the subscript p represents the
Disassembling experience Consulting the experts and masters Experiments Books and internet information Prior knowledge and ability Investigation of the products in the marketMost of interviewees indicated that DIY was the most critical design factor for STEMin PBL, the next important factors were books and internet information.Frequency Analysis of the Contents of STEM:The contents of forum on the website of STEM were analyzed as shown in Table 4.According to the data of the forum of STEM website, the most frequent discussed wasTechnology (T); next was Science (S); and Mathematics (M) was the least discussedby students. The students of the two schools obtained similar results.Table 4 Stem content frequency analysis Schools
factor, we choose to measure the power whenthe system is set in DC MODE (Figure 3), which lead to a power factor of 1.This design was done in multiple steps using different type of hardware and software. The firststep was to obtain the value of the V (t) across the pump. In order to accomplish this task, weused the NI USB 4065 DMM, a digital multimeter which has the following characteristics ≠ Bus-powered for portability ≠ Small (7.0 by 4.1 by 1.3 in.) and lightweight (10 oz) ≠ 6½-digit resolution ≠ 7 built-in measurements - AC/DC voltage, AC/DC current, 2- or 4-wire resistance, and diode test ≠ ±300 VDC/Vrms isolation ≠ 3000 readings/s (maximum) at 4½ digitsThe second step was to measure the current flowing through
motivate them, which in turn can result inthe failure to attain the program‟s educational goals and objectives. This speaks directly to theimportance of need assessment surveys designed to identify what motivates and concernsteachers in advance of developing training programs.According to Sprague and Nyquist[23], GTAs go through three stages of development in their roleas a teacher, which include „Senior Learners‟, „Colleagues in Training‟, and „Junior Colleagues‟.Nyquist and Wulff[24] suggest that faculty could use these developmental stages to determinehow to approach their mentoring of GTAs in relation to teaching roles and assignments. GTAs indifferent stages of development are considered to have different concerns about teaching
Item Temp (°C) (g/s) (g/s) Ratio 550 19.44 3.675 5.2910 565 22.22 3.538 6.2810 574 25.00 3.524 7.0935 B100 589 27.78 3.470 8.0054 604 30.56 3.449 8.8580 618 33.33 3.402 9.7982 468 19.44 3.538 5.4959 462 22.22 3.524 6.3053 490 25.00 3.470 7.2049
and Scale Invariant Feature Transform inParticle Filter Framework”, IEEE Transactions on Consumer Electronics, Vol. 55, No. 3, AUGUST 2009 2. Angelo Bosco, Arcangelo Bruna, Sebastiano Battiato, Giuseppe Bella, and Giovanni Puglisi “Digital VideoStabilization through Curve Warping Techniques” IEEE Transactions on Consumer Electronics, Vol. 54, No. 2,MAY 2008 3. Hany Farid and Jeffrey B. Woodward, “Video Stabilization and Enhancement” TR2007-605, DartmouthCollege, Computer Science 4. J.L. Barron D.J. Fleet S.S. Beauchemin, T.A. Burkitt “Performance of Optical Flow Techniques” Multimedia and Expo, 2006 IEEE International Conference on 9-12 July 2006 Page(s):241 – 244 5. Jen. Hsiao, C. Hsu, T. Shih, P. Hsu, S. Yeh and B. Wang “Real
the widely utilized Force Concept Inventory.Since then multiple engineering and physics disciplines now utilize concept inventories forteaching and learning assessments. The Statics Concept Inventory11 utilized in this research wasdeveloped by Paul S. Steif at Carnegie Mellon University and the co-developer was Anna Dollàrfrom University of Miami at Ohio. The 30-minute exam consists of 27 multiple choice questionscovering nine statics concepts (three questions for each topic) as categorized in Table 1. Table 1. Description of the concepts in the Statics Concept Inventory Exam A Free Body Diagram – Separating Bodies B Newton’s 3rd Law C Static equivalence of combinations of forces and
Item Temp (°C) (g/s) (g/s) Ratio 550 19.44 3.675 5.2910 565 22.22 3.538 6.2810 574 25.00 3.524 7.0935 B100 589 27.78 3.470 8.0054 604 30.56 3.449 8.8580 618 33.33 3.402 9.7982 468 19.44 3.538 5.4959 462 22.22 3.524 6.3053 490 25.00 3.470 7.2049
VHDL. In this paper, an overview ofBluespec is presented, its history and relation to VHDL, along with a simple example of coderelating VHDL to Bluespec, followed by the operation of Bluespec in Linux.Bluespec HistoryThe Bluespec language was the development of Prof. Arvind who founded the semiconductortool design company, Bluespec Inc., in 2003. Bluespec is a high-level functional hardware1 Southern Polytechnic State University, 1100 S. Marietta Parkway, Marietta, GA 30060-2896, xcheng@spsu.edu2 Southern Polytechnic State University, 1100 S. Marietta Parkway, Marietta, GA 30066-2896, dwilcox@spsu.edudescription programming language. The patented Bluespec technology is based on over eightyears of research at MIT, starting in 19971. In 2000
Principal Component Analysis and Scale Invariant Feature Transform inParticle Filter Framework”, IEEE Transactions on Consumer Electronics, Vol. 55, No. 3, AUGUST 2009 2. Angelo Bosco, Arcangelo Bruna, Sebastiano Battiato, Giuseppe Bella, and Giovanni Puglisi “Digital VideoStabilization through Curve Warping Techniques” IEEE Transactions on Consumer Electronics, Vol. 54, No. 2,MAY 2008 3. Hany Farid and Jeffrey B. Woodward, “Video Stabilization and Enhancement” TR2007-605, DartmouthCollege, Computer Science 4. J.L. Barron D.J. Fleet S.S. Beauchemin, T.A. Burkitt “Performance of Optical Flow Techniques” Multimedia and Expo, 2006 IEEE International Conference on 9-12 July 2006 Page(s):241 – 244 5. Jen. Hsiao, C. Hsu, T. Shih, P. Hsu, S
provides a channel for students to get knowledge of the university, the college, the department, and the labs. They are going to be the seeds we spread to the whole college incoming freshmen. They will lever up the whole quality of our students as a whole. The success of the CEEI program is not limited to the single project, or how much a student can learn in a 5 week period, but extends the influence to the whole incoming freshmen body. Also let the students know their professors in advance in the lab setting is a good approach to build faculty-students relationship among each department. 7Reference[1] S. Cui, Y
hasscript language called Lingo which provides an ability to control the media and control the flowof the different medias. This feature allows the instructor to enable or disable some features ofthe course medias during the online class. These features are good for creating and maintainingrich medias. The disadvantage is that the instructor(s) cannot track the student data or theinteractivity between the students themselves or between the student and the instructor.5. MACROMEDIA FLASH A multimedia learning object is defined as an animation that includes a combination of text,graphics, sound, and video packaged together. Unlike the standard lecture mode, learning objectsallow flexibility and round-the-clock access to the students. Students