IX. REFERENCES:to the current knowledge. As part of knowledgemanagement, this should be considered and taken care of.This drives us to an updated view of the knowledge [1] J. B. Barney, "Firm Resources and Sustained Competitivemanagement life cycle and should lead to some modification Advantage," Journal of Management, pp. 99-120, 1991.for the previous model. The modification appears inmodifying the model to be a cycle rather than a sequential [2] R. E. Cole, "Introduction," California Management, pp. 15-21, 1998.model as shown in Fig. 2. In the cycle, the new outsource [3] J. C. Spender, "Making Knowledge the Basis of a Dynamic
., Pintrich and de Groot15), the relationship betweenvisual models and enhanced self-efficacy needs to be further investigated.MethodologyWe conducted a randomized study as follows. A problem solving session for inventorycontrol theory was designed for junior level undergraduate industrial engineering majors. Wealso conducted pre- and post- self-efficacy surveys on students’ abilities regarding thespecific domain knowledge aspects of inventory control theory.ParticipantsStudents in the class were divided randomly into 2 groups, A and B. In Group A, 44 studentscompleted the problems and in Group B, 42 students completed the problems. Both groupshad originally been designed for 45 students each, but last-minute sickness, etc., led to lessthan 100
constructing thefollows [12]: generational trees. ACKNOWLEDGMENT [6] Z. Yang, and B. Rannala, Bayesian phylogenetic inference using DNA sequences: a Markov chain Monte carlo method. Mol. Biol. We would like to acknowledge and especially appreciate Evol., 1vol. 4, pp. 717–724, 1997.Dr. Kristen Porter-Utley, Associate Professor of Biology, [7] C.J. Geyer, Markov chain Monte Carlo maximum likelihood. InKeene State College, for her contributions to the DNA
). LEARNING STYLES AND PEDAGOGY IN POST-16 BASED LEARNING. LEARNING: A SYSTEMATIC AND CRITICAL REVIEW. WOOD DAUDELIN, M. (1997). LEARNING FROM EXPERIENCE EGE, S. N., COPPOLA, B. P., & LAWTON, R. G. (1997). THE THROUGH REFLECTION. ORGANIZATIONAL DYNAMICS, UNIVERSITY OF MICHIGAN UNDERGRADUATE 24(3), 36-48. CHEMISTRY CURRICULUM 1. PHILOSOPHY, CURRICULUM, AND THE NATURE OF CHANGE. JOURNAL OF CHEMICAL EDUCATION, 74(1), 74. FALK, J. H., & DIERKING, L. D. (2000). LEARNING FROM MUSEUMS: VISITOR EXPERIENCES AND THE MAKING OF MEANING: ALTAMIRA
manipulators with full manipulator dexterity at the given task S. Patel is with the Department of Computer Science and Engineering,University of Bridgeport, Bridgeport, CT 06605 USA (e-mail: region or trajectory is proposed. Ting introduced the five-linksaroshp@bridgeport.edu). Grashof criterion [6] and extended it to N-link chains [7], [8]. T. Sobh is with the Department of Computer Science and Engineering,University of Bridgeport, Bridgeport, CT 06605 USA (e-mail:sobh@bridgeport.edu).978-1-4799-5233-5/14/$31.00 ©2014 IEEE B. Parametric Optimization Approach III. PROBLEM STATEMENT Parametric optimization is a
. This assumption is based on the implication that the ice is fully packed and the water that will form remains in the pack. B. Design Objectives Beside the clear vision for heat flow within the system that A rectangular shape was chosen for the layers while,could be offered by software like COMSOL Multiphysics, thickness of each layer was chosen approximately, but after getting the results, it can be easily modified to get the desiredthere are also many goals that are hoped to be achieved in this
Objectivesevolve. To complete the program of study for the BS-CS, every student will a) Demonstrate proficiency in the foundation areas of Computer Science including discrete structures, logic and the theory of algorithms. b) Demonstrate proficiency in various areas of Computer Science including data structures and algorithms, concepts of programming languages and computer systems. c) Demonstrate proficiency in problem solving and application of software engineering techniques. d) Demonstrate mastery of at least one modern programming language and proficiency in at least one other. e) Demonstrate understanding of the social and ethical concerns of the practicing computer scientist. f) Demonstrate the ability to work cooperatively in teams. g
the sleep mode, power consumption for the least k nodes [6];transient mode, transmission period, transient mode duration,sleep mode duration, and active mode duration. The new model 6. 100% coveragefor power consumption in communications has been tested a. The time each target is covered by at least one node [7];versus a network of Micaz sensors and it shows results within5% difference between theoretical and practical results. The b. The time the whole area is covered by at least one noderesults obtained in this paper are more accurate than those [8];previously published. 7
buttons of theonline survey tool, and for certain items provide a short answer response. The survey questionsaddressed students’ experience with: A) choosing a project prior to or during the Job Fair, B)participating in the Job Search/Selection process itself, and C) working on the project with teammembers since then. Some of these questions were adapted from the work of Orono and Ekwaro-Osire on assessing team formation,8 and others emerged naturally from the unique aspects of ourcompetitive approach. Figure 1 below shows the survey questions, including an introductoryheading explaining the purpose and confidentiality of student responses. Page
]. Figure 3. FloExpress (Solid Works) flow simulation (a) (b) (c) B. The Turbine Blades and the Mixer Ejector The purpose of this portion of the project was to: 1. Design and test the effects of multi-blade turbines for output vs wind velocity; 2. Observe the Venturi effect due to Mixer/EjectorFig. 1a. Twelve symmetrical steel rods shape the contraction cone and keepthe small frame
the simplest forms of cause and effect situations. B. MINSTRELHowever, we have a significant advantage today, with the ease Now let's move forward almost 20 years to look atand availability of the Internet along with existing ‘Concept MINSTREL. Scott Turner developed MINSTREL which is aKnowledge’ systems. large and complex program that generates short ‘themed based’ stories about King Arthur and the Knights of the Round II. IMPORTANT GROUND BREAKING SYSTEMS Table [6][7]. Minstrel generates a story by following a
able to compare their outcomes. Through the comparison study, they will beable to better understand and appreciate software engineering testing concepts. Hopefully whenthey see the benefit, they will be more likely to take high level software engineering courses atthe later stage of their study. Because the testing was only introduced to the two classes with IDE experience, we wereable to collect more data points to show students’ progress after the learning of the testingconcept. We first had students working on a project, A, without any discussion of testingconcepts and we then introduced the concept of basic testing, followed by their work on anotherproject, B. 3.1 Four Measurements From each project, we collected the following
Page 24.612.6 7 Durability X 8 Easily storable/ assessable X X 9 Ability to effectively rake leaves X Table #2 – Customer needs specifications (An example of a student’s work.)See the matrix below to convert the customer needs to metrics: Concepts A B CMetric Collect in # Selection Criteria Pull rake bag Compress 1 Heavy raking head + + + 2 Total mass
2013[1]. Early detection andmonitoring of the advancement or remission of cancer is of theutmost importance in oncological medicine today andpprevious research has shown early detection of cancerincreases the odds of patient survival[17; 46]. For high risk (a) Graphene film with resonant circuit and inductive coil antenna ispatients, such as those with a genetic pre-disposition to cancer printed onto bioresorbable silk substrate, (b) Transfer of the sensor onto toothand/or those who have already been diagnosed and treated for surface, (c) Magnified view of sensor and inductive coil antenna, (d) Binding ofthe disease, periodic monitoring for early detection
” = Faculty, “PE” = Practicing Engineer, “DCP” = Domestic Construction Professional, “ICP” = Indigenous Construction Professional. “OP” = Other Professional (scientist, geologist, business), “B” = Beneficiaries, “NGO” = Non-governmental organization collaborator. Boldface Type = intense level of involvement likely.This relationship between DCP mentor and student is fostered by the give-and-take betweenthem during the design and implementation phases of a project and can be further enriched byDCP workshops given prior to travel. This workshop and relationship building process has beenutilized by the authors in preparation for several international project implementation trips.Table 3 lists potential workshop topics, many of which focus on
, u (t ) is all times. Since the matrices A, B, C are known, it is rationalthe system input vector (that may be used as a system control to postulate an observer for (4) asinput) of dimension m , and matrices A and B are constant xˆ (t ) = A xˆ (t ) + B u (t ), xˆ (t 0 ) = xˆ 0 (5
]. This term can control the direction of contours so they can B. Level Set Method shrink outside and expand inside of a desired object in image I. Also, v represents the speed of contours. The enhanced level The level set method which was presented by Osher and set method is a combination of watershed algorithm as a Sethian in 1987, is a simple method for computing and preprocessing step and the new
and Braun (2010) observed that many dyslexicstudents innately approach problems from a three-dimensional perspective2. So when a dyslexicstudent is presented with an unfamiliar object, he may have a natural ability and predisposition toexamine the object from various angles and perspectives in his mind, without ever movinghimself or the object. The ability to reason three-dimensionally may lead a dyslexic student to beable to view the opposite side of an object in his mind, based on observations concerning thefront of the object and his previous knowledge. This special reasoning skill is extremely usefulin engineering. Language, however, is two-dimensional; the tendency to reason in threedimensions can lead a “b” to look like a “d”, “p” or “q
effectiveness of IV. RESULTSthe program. The survey was composed of ten Our results were hampered by a number of factors:themed quantitative, close-ended, and Likert scaled a) The number of students who attendedquestions and several open-ended questions that these sessions and who reported theirallowed comments. The themes of the survey school marks varied from term to term,focused on the value of the session, the venue, and which may have skewed the results.the helpfulness of the peer mentor. A few of the b) A number of students (approximately 6)questions with their results are given in Table 1
,analysis of how assignments progress over time (process mining), and generating automaticfeedback to engineering students.11 Cloud-based documents like Google Docs have been used forcontinuous formal assessment.12,13This study presents the use of Google Docs in a large lecture environment (approximately 230students in each lecture) for bi-directional feedback on open-ended first year engineeringactivities. In this approach, the instructor may (a) observe the process students go through inaddressing a presented problem, and (b) pick out samples of student work while students areworking, rather than waiting until students have submitted it. The instructor can then presentsamples of work to the class, and provide feedback. This approach allows the
-semester point, you will be evaluating each team members’ participation (including yourself) from the beginning of the semester to now. You will provide a recommended grade (e.g., A, A-, B+, B, B-, C+, C, C-, D+, D, D-, F) next to each of your name and your colleagues’ names on the spreadsheet posted to Blackboard. You must also provide supporting prose for all responses, including yours on a separate Word document”.The students’ grades are meant to inform the final grade, and are not used as the soleassessment mechanism. At the end of the semester, during the final presentation, theinstructor assigns each group a grade, based on the final presentation, and thedeliverables from the entire semester. After the grades
sideport hole diameters are selected tomake a snug, leak-tight fit. Using tubing interconnections, the liquids can be delivered to the fluidiccircuit with a pipette or a syringe, actuated either manually or with a programmable syringe pump. (a) (b) Figure 1: (a) SolidWorks desgin of chip and (b) fabricated chip in acrylicChip Design and ManufacturingThe microfluidic chips are fabricated as three layer laminates comprised of a middle layer that featuredthe fluidic circuit and top and bottom layers that enclosed it. The middle layer is designed inAutoCAD and then sent to a prototyping machine. It can be prototyped using several differentmethods but in this case a
) Male White High Midwest – Mr. A Male White Mid-High Female White Low Female White Low Female White Mid Midwest – Mr. B Male White High Female White Mid Female White High Male White Mid-High
Conference Copyright © 2014, American Society for Engineering Education 13the positive electrode of the DC power source. Under the combined electric and mechanical forces, thepolymerized polyaniline was cast into nanofibers within the TiO2 nanotubes. The centrifugal castingprinciple is shown in Fig. 1(b).Fig. 1. Electric force assisted nanocasting experimental set-up and the working principle: (a) the rotating platform holds the nanocasting unit, (b) nanocasting under external forces.The Seebeck coefficient of the nanofiber composite was measured using a self-build measurementsystem containing a Talboys
data files to DataNodes with 3searches. If a “sub-sequence” is found in a specific copies.blocks in a DataNode, sequence containing that 2. NameNode replays with the IP address of fivesubsequence can only exist in the same DataNode. Since DataNodes (DN1, DN2, DN3, DN4, DN5).current Hadoop Framework does not support caching of 3. Client A accesses the shared data files (DB).data, it ignores location of DataNode with sub-sequence 4. Client A reformats the data files into HDFS formatand read data from all DataNodes for every new job in many Blocks (B1, B2, B3, B4).[10]. Shown in Figure 2 Client A and Client B are 5. Client A sends the blocks to the DataNodes
of instruction that will better match the cohort of students’ learning style to initiate ouradaptive teaching process.Cohort Cognitive ProfileThe different conglomeration of the Felder-Silverman learning scales for the students in a cohortforms a specific cognitive profile. We propose to use the Felder-Soloman index of learning styles(ILS) survey to determine the dominant learning styles within a cohort of students. The Felder-Soloman index of learning styles survey consists of 44 multiple choice questions. The survey has11 forced-choice questions that address each scale. Each item has only two possible choices (a)and (b) that corresponds to either one of the two categories in a specific scale. The (b) responsesare subtracted from the (a
through station twoFigure 1. First station figure. In Gyroscope IBLA.Students made predictions (see Appendix A) before running the experiment at each station. Next, theyrecorded the results on a worksheet (see Appendix B), and responded to the worksheet prompts.Through the inquiry activity, students revisited their predictions and previous ideas after seeing thephysical results, and later went on to create informed conclusions. During the hands on activity, theprofessor and teaching assistants walked around and checked up on student teams to make sure theywere doing the activity correctly and helped to answer their questions. The instructors offered additionalguidance on how to position the gyroscopes during the activity
remaining engineering courses was of particularinterest. How comfortable are you solving engineering design problems that ensure biological requirements? a) They are easier than almost any other design problems. b) A bit easier than almost any other design problem. c) Can't say. d) A bit more difficult than almost any other design problem. e) Much more difficult than almost any other design problem.This question was designed to detect any change in comfort at working with design problemsthat incorporate both biology and thermodynamics. The students were given such a problem inthe 2D week, and so if the students were capable, their comfort level should
competition was designed by the instructor torequire both teams to use results and procedures from earlier experiments (Table 2). Each teamwas required to make several design decisions and work effectively as a team to minimize thetotal treatment time.Each team was provided with the following supplies: • Two coagulants (A and B): polyaluminum chloride and aluminum sulfate • Potassium Permanganate, KMnCl4 • Chlorox Bleach (5.25% Sodium Hypochlorite) • Powdered Activated Carbon (PAC) solution (concentration not specified) • Sodium Hydroxide (0.02 N) Page 24.304.9 • Sulfuric Acid (0.02 N) • Sodium Bicarbonate (NaHCO3) powder
Page 24.550.4some creativity) was used (Fig. 1b) to highlight key features of the bridge truss shown and aid inrelating the photograph to course material. (a) (b)Figure 1: Student submitted photographs of a bridge truss both (a) without and (b) with annotation. Page 24.550.5Other student submissions, such as shown in Fig. 2, included self-constructed free body diagramsto help explain the subject of the submitted photograph. The inclusion of this additionalinformation suggested that the student was thinking critically about the situation depicted in