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Journal articles on the topic 'Order evaluation'

Author: Grafiati

Published: 28 June 2021

Last updated: 2 February 2022

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1

OZBASI, Durmus. "Using Rank-order Judgments Scaling to Determine Students’ Evaluation Preferences." Eurasian Journal of Educational Research 19, no. 82 (2019): 1–18. http://dx.doi.org/10.14689/ejer.2019.82.4.

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2

Dunfield, Joshua. "Elaborating evaluation-order polymorphism." ACM SIGPLAN Notices 50, no. 9 (2015): 256–68. http://dx.doi.org/10.1145/2858949.2784744.

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3

Callaghan, Gill. "Evaluation and Negotiated Order." Evaluation 14, no. 4 (2008): 399–411. http://dx.doi.org/10.1177/1356389008095485.

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4

Fraser, Christopher W., and David R. Hanson. "Optimization of argument evaluation order." Information Processing Letters 24, no. 6 (1987): 391–95. http://dx.doi.org/10.1016/0020-0190(87)90116-5.

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5

Yang, Ming Hua, Yu Cai Dong, Ling Zhang, Jian Du, and Yan Xia Liu. "Synthetic Evaluation of Equipment Maintenance System Based on TOPSIS Method." Advanced Materials Research 772 (September 2013): 394–98. http://dx.doi.org/10.4028/www.scientific.net/amr.772.394.

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A synthetic evaluation of equipment maintenance system effectiveness based on TOPSIS method is discussed in this article. The synthetic evaluation order of every system are given which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new system to the synthetic evaluation of diesel equipment maintenance system effectiveness.

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6

II, CHARLES G. PETERSEN. "AN EVALUATION OF ORDER PICKING POLICIES FOR MAIL ORDER COMPANIES." Production and Operations Management 9, no. 4 (2009): 319–35. http://dx.doi.org/10.1111/j.1937-5956.2000.tb00461.x.

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7

Tian, Jia Ping, Su Na Cao, Jia Xing Du, Ping Chen, and Huan Zhan. "Evaluation of Cyberwar’s Synthetical Ability Based on TOPSIS Method." Applied Mechanics and Materials 615 (August 2014): 286–89. http://dx.doi.org/10.4028/www.scientific.net/amm.615.286.

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A evaluation of cyberwar’s synthetical ability based on TOPSIS method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new idea to the evaluation of cyberwar’s synthetical ability.

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8

Bailey, Kenneth, and Peter Tozer. "An Evaluation of Federal Order Reform." Journal of Dairy Science 84, no. 4 (2001): 974–86. http://dx.doi.org/10.3168/jds.s0022-0302(01)74556-0.

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9

Bransen, Jeroen, Atze Dijkstra, and S. Doaitse Swierstra. "Incremental evaluation of higher-order attributes." Science of Computer Programming 137 (April 2017): 98–124. http://dx.doi.org/10.1016/j.scico.2016.06.001.

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10

Palmer, Zachary, Theodore Park, Scott Smith, and Shiwei Weng. "Higher-order demand-driven symbolic evaluation." Proceedings of the ACM on Programming Languages 4, ICFP (2020): 1–28. http://dx.doi.org/10.1145/3408984.

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11

Andersen, Henning E., and Olav Geil. "Evaluation codes from order domain theory." Finite Fields and Their Applications 14, no. 1 (2008): 92–123. http://dx.doi.org/10.1016/j.ffa.2006.12.004.

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12

Peterson, Margaret G. E., and Marcia A. Testa. "Rank order scaling in taste evaluation." Computers and Biomedical Research 19, no. 1 (1986): 56–62. http://dx.doi.org/10.1016/0010-4809(86)90006-6.

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13

Ma, Fei, Hong Gu, Wei Hua Xu, and Qin Qin Tao. "Application of Fuzzy Mathematics Model in Evaluating Order Priority." Applied Mechanics and Materials 742 (March 2015): 390–94. http://dx.doi.org/10.4028/www.scientific.net/amm.742.390.

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The method of make-to-order has gradually become the primary mode of production. It is an extremely important ability for enterprises to make production scheduling and response to the changes of customer demand agiely. Therefore, this paper mainly deals with how to evaluating order priority in the mode of make-to-order. For this question, an evaluation index system and a model of fuzzy mathematic system evaluation are established. Through empirical analysis, the model and evaluation system are found feasible and valid.

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14

Yadegari, Davoud, and Soroush Avakh Darestani. "Supplier evaluation with order allocation in mega-projects." Management Research Review 44, no. 8 (2021): 1157–81. http://dx.doi.org/10.1108/mrr-04-2020-0220.

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Purpose The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders to suppliers in the supply chain for mega-projects. Design/methodology/approach By using an integrated model (based on fuzzy analytic network process), suppliers are selected and the appropriate amounts are allocated to them in mega-projects. Initially, a hierarchical model of the research method was introduced. Then, the results on reliability and validity analysis of research measurement tools were presented. Finally, prioritization and allocation of orders to suppliers, with a case stu

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15

Courcelle, Bruno, and Teodor Knapik. "The evaluation of first-order substitution is monadic second-order compatible." Theoretical Computer Science 281, no. 1-2 (2002): 177–206. http://dx.doi.org/10.1016/s0304-3975(02)00012-9.

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16

Davidson, D. B. "An evaluation of mixed-order versus full-order vector finite elements." IEEE Transactions on Antennas and Propagation 51, no. 9 (2003): 2430–41. http://dx.doi.org/10.1109/tap.2003.816350.

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17

Venslavavičiūtė, Raminta, Kęstutis Urbonas, and Vaidotas Šapalas. "ANALYSIS OF SECOND-ORDER EFFECTS EVALUATION OF STEEL FRAMES BEHAVIOUR." Engineering Structures and Technologies 12, no. 1 (2020): 8–14. http://dx.doi.org/10.3846/est.2020.13400.

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The evaluation of second-order effects of steel framed structures can provide different analysis results than using linear analysis methods. In various structural engineering literature were distinguished different methods of analysis: taking or without taking into account second-order effects. It depends on the sensitivity to the horizontal actions. The slenderer the structure, the more sensitive it is to horizontal actions. Using nonlinear methods, the sensitivity of steel frame to second-order impact is considered. This paper shows the importance of evaluations of the second-order effects i

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18

IKEDA, Fujio, Atsushi WATANABE, and Seiichi KAWATA. "Evaluation of Errors in Reduced Order Modeling." Transactions of the Society of Instrument and Control Engineers 35, no. 10 (1999): 1261–67. http://dx.doi.org/10.9746/sicetr1965.35.1261.

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19

Petersen, Charles G. "An evaluation of order picking routeing policies." International Journal of Operations & Production Management 17, no. 11 (1997): 1098–111. http://dx.doi.org/10.1108/01443579710177860.

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20

Sugawara, M. "Evaluation of finite lowest-order self-energies." Il Nuovo Cimento A 103, no. 8 (1990): 1101–11. http://dx.doi.org/10.1007/bf02820537.

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21

Kraut, Eyal, Ioulia Pronina, Hope Yen, Sarah Moore, and Robyn L. Houlden. "Evaluation of a Diabetic Ketoacidosis Order Set." Canadian Journal of Diabetes 41, no. 5 (2017): S54. http://dx.doi.org/10.1016/j.jcjd.2017.08.143.

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22

Clark, Alexa, Eyal Kraut, Hope Yen, Sarah Moore, and Robyn Houlden. "Evaluation of a Diabetic Ketoacidosis Order Set." Canadian Journal of Diabetes 42, no. 5 (2018): S6. http://dx.doi.org/10.1016/j.jcjd.2018.08.018.

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23

Jiang, Yao-Lin, and Jun-Man Yang. "Asymptotic Waveform Evaluation With Higher Order Poles." IEEE Transactions on Circuits and Systems I: Regular Papers 68, no. 4 (2021): 1681–92. http://dx.doi.org/10.1109/tcsi.2021.3052838.

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24

Chan, J., K. G. Shojania, A. C. Easty, and E. E. Etchells. "Usability evaluation of order sets in a computerised provider order entry system." BMJ Quality & Safety 20, no. 11 (2011): 932–40. http://dx.doi.org/10.1136/bmjqs.2010.050021.

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25

Cheng, Henan, Siminda Deng, Zhen Zhang, et al. "Uncertainty evaluation of the second-order Zeeman shift of a transportable 87Rb atomic fountain clock." Chinese Optics Letters 19, no. 12 (2021): 120201. http://dx.doi.org/10.3788/col202119.120201.

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26

Ma, Run Bo, Shi Meng Xu, Yu Cai Dong, and Ge Hua Fan. "Comprehensive Evaluation on Weapon System of Main Battle Tank Based on Topsis Method." Advanced Materials Research 538-541 (June 2012): 2949–52. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.2949.

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An integrated evaluation of the modern main battle tank based on Topsis method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The results show that this mode1 features convenient calculations，high distinguish efficiency and high stability. The article supplies a new system to the comprehensive evaluation of the modern main battle tank.

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27

Sihombing, Urkanus, Hamidah, and Billy Tunas. "Evaluation for education program and basic training for Jakarta public order agency." IJHCM (International Journal of Human Capital Management) 4, no. 1 (2020): 42–58. http://dx.doi.org/10.21009/ijhcm.04.01.04.

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This research/evaluation be held for evaluating Evaluation for education program and basic training for Jakarta public order agency in periode 2012 until 2018 which be held by Civil service police and Human Resources Development Agency (Field Study). This evaluation for analising comprehensively to significant several aspect in several stages, which consists of stages1, including aspect : a. Legal foundation, b. Need analysis, c. Purpose, also program targets, and stages2, including aspect: a. Participant, b. Organization structure, c. Program and activities, d. Procedure, e.Guidebook, f. Inst

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28

Fossati, Marco. "Evaluation of Aerodynamic Loads via Reduced-Order Methodology." AIAA Journal 53, no. 8 (2015): 2389–405. http://dx.doi.org/10.2514/1.j053755.

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29

Ostalczyk, Piotr, and Piotr Duch. "On a Real-Time First-Order Difference Evaluation." Image Processing & Communications 17, no. 4 (2012): 167–71. http://dx.doi.org/10.2478/v10248-012-0043-x.

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Abstract A subject of this paper is a real-time evaluation of the first-order backward difference of a measured signal with noise. It is wellknown that a difference evaluation strongly increase a noise amplitude so the signal prefiltering is necessary. A very short review of practically used filters is given. To perform the pre-filtering operation one mainly apply linear filters characterized by their impulse response shape: finite impulse response (FIR) and infinite impulse response (IIR). To enhance the filtering operation one successfully apply so called adaptive filters and these described

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30

Manzini, Massimo, and Marcello Urgo. "Critical Components Evaluation in Manufacturing-To-Order Processes." Procedia CIRP 37 (2015): 146–51. http://dx.doi.org/10.1016/j.procir.2015.08.046.

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31

Willow, Soohaeng Yoo, Kwang S. Kim, and So Hirata. "Stochastic evaluation of second-order Dyson self-energies." Journal of Chemical Physics 138, no. 16 (2013): 164111. http://dx.doi.org/10.1063/1.4801862.

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32

Cleary, John D., Jerry W. Taylor, and Ratnel L. Nolan. "Automatic Stop-Order Procedure for Antibiotics Needs Evaluation." American Journal of Health-System Pharmacy 48, no. 12 (1991): 2602. http://dx.doi.org/10.1093/ajhp/48.12.2602.

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33

Anh, V. V., N. N. Leonenko, and L. M. Sakhno. "Evaluation of bias in higher-order spectral estimation." Theory of Probability and Mathematical Statistics 80 (2010): 1. http://dx.doi.org/10.1090/s0094-9000-2010-00790-3.

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34

Yoshida, A., H. Suzuki, S. Hasuo, et al. "Evaluation of superconducting first-order sigma-delta modulator." Physica C: Superconductivity and its Applications 445-448 (October 2006): 1037–40. http://dx.doi.org/10.1016/j.physc.2006.05.097.

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35

Moore, M. N. J., L. J. Gray, and T. Kaplan. "Evaluation of supersingular integrals: second-order boundary derivatives." International Journal for Numerical Methods in Engineering 69, no. 9 (2007): 1930–47. http://dx.doi.org/10.1002/nme.1835.

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36

Harajli, M., N. Khairallah, and H. Nassif. "Externally Prestressed Members: Evaluation of Second-Order Effects." Journal of Structural Engineering 125, no. 10 (1999): 1151–61. http://dx.doi.org/10.1061/(asce)0733-9445(1999)125:10(1151).

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37

Kulkarni, Prasad A., David B. Whalley, Gary S. Tyson, and Jack W. Davidson. "Practical exhaustive optimization phase order exploration and evaluation." ACM Transactions on Architecture and Code Optimization 6, no. 1 (2009): 1–36. http://dx.doi.org/10.1145/1509864.1509865.

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38

Hofer-Dückelmann, C., E. Prinz, W. Beindl, et al. "Evaluation of a computerised physician order entry system." European Journal of Hospital Pharmacy 19, no. 2 (2012): 134.2–135. http://dx.doi.org/10.1136/ejhpharm-2012-000074.131.

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39

Robbins, D. J., A. J. Almquist, D. C. Timm, J. I. Brand, and R. E. Gilbert. "Experimental Evaluation of Nonisothermal, First-Order Reaction Kinetics." Macromolecules 28, no. 26 (1995): 8729–34. http://dx.doi.org/10.1021/ma00130a004.

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40

Arntzenius, Michael, and Neel Krishnaswami. "Seminaïve evaluation for a higher-order functional language." Proceedings of the ACM on Programming Languages 4, POPL (2020): 1–28. http://dx.doi.org/10.1145/3371090.

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41

Burns, Tom, Jorun Rugkasa, and Andrew Molodynski. "The Oxford Community Treatment order Evaluation Trial (OCTET)." Psychiatric Bulletin 32, no. 10 (2008): 400. http://dx.doi.org/10.1192/pb.bp.108.022814.

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42

Banks, H. T., Michele L. Joyner, Buzz Wincheski, and William P. Winfree. "Nondestructive evaluation using a reduced-order computational methodology." Inverse Problems 16, no. 4 (2000): 929–45. http://dx.doi.org/10.1088/0266-5611/16/4/304.

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43

Benjamin Rohit et al.,, Benjamin Rohit et al ,. "Model Order Reduction of Bolting and Feasibility Evaluation." International Journal of Mechanical and Production Engineering Research and Development 7, no. 5 (2017): 215–22. http://dx.doi.org/10.24247/ijmperdoct201723.

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44

Sande, Sverre A., and Jan Karlsen. "Evaluation of reaction order. Software in pharmaceutics: III." International Journal of Pharmaceutics 98, no. 1-3 (1993): 209–18. http://dx.doi.org/10.1016/0378-5173(93)90058-n.

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45

Sa, Yongjin. "Flexible Work Arrangements Program Implementation Evaluation." Advances in Social Sciences Research Journal 8, no. 5 (2021): 63–70. http://dx.doi.org/10.14738/assrj.85.10154.

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This research primarily focuses on construction of the program evaluation proposal for the flexible work arrangements. In order to make the program evaluation design, this paper specifically discusses evaluation questions and data collection analysis regarding three kinds of evaluations including needs assessment, implementation evaluation, formative evaluation, and summative evaluation. Furthermore, the expected positive effects and main functions of the flexible work arrangements program evaluation are also suggested.

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46

Chatterjee, Swagato. "Order of justice in queues of emerging markets." Journal of Consumer Marketing 37, no. 6 (2020): 605–16. http://dx.doi.org/10.1108/jcm-04-2019-3178.

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Purpose Extant literature on queuing has identified service queues as social systems where social justice is an important factor for service evaluation. First-order justice, defined as a first-come first-served (FCFS) process, has been found to be a necessary condition of social justice and positive evaluation. Second-order justice, defined as equal waiting time, has been found to be an additional factor which comes into play only when first-order justice is met. This paper aims to show that in the emerging market situation, the above definitions of justice and the order mentioned above does n

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47

Schmidt-Abbey, Barbara, Martin Reynolds, and Ray Ison. "Towards systemic evaluation in turbulent times – Second-order practice shift." Evaluation 26, no. 2 (2020): 205–26. http://dx.doi.org/10.1177/1356389020909120.

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The need for, and possibilities of, a second-order shift in evaluation practice are explored. Second-order evaluation practice enables an evaluator to improve practice as a skilled practitioner, acknowledging her embeddedness within an evaluand. The article explores evaluation practice as experienced by professional evaluators, using ideas from developmental evaluation coupled with systemic evaluation in the tradition of systems thinking in practice. Systemic evaluation aims to capture systemic sensibilities – the bigger picture – of complex turbulent situations of change underpinning evaluand

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48

Yan, Li, Qing Chen, and Rui Qing Hao. "Order Parameters Evaluation Indexes and Quantitative Analysis Model on Order Degree of Manufacturing System." Advanced Materials Research 411 (November 2011): 403–6. http://dx.doi.org/10.4028/www.scientific.net/amr.411.403.

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In order to describe the evolution of the manufacturing system from disorder to order, the order parameters of synergetic is applied. According to the basic features and selection principles of the order parameters, the order parameter of manufacturing system and the order parameter evaluation index system are put. On this basis, the quantitative analysis model on order degree of manufacturing system is proposed. The order degree of manufacturing system according to the statistical data from year 2000 to 2008 in China is taken out. The results show that the order degree of the manufacturing sy

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49

Caminati, Marco. "First Order Languages: Further Syntax and Semantics." Formalized Mathematics 19, no. 3 (2011): 179–92. http://dx.doi.org/10.2478/v10037-011-0027-0.

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First Order Languages: Further Syntax and SemanticsThird of a series of articles laying down the bases for classical first order model theory. Interpretation of a language in a universe set. Evaluation of a term in a universe. Truth evaluation of an atomic formula. Reassigning the value of a symbol in a given interpretation. Syntax and semantics of a non atomic formula are then defined concurrently (this point is explained in [16], 4.2.1). As a consequence, the evaluation of any w.f.f. string and the relation of logical implication are introduced. Depth of a formula. Definition of satisfaction

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50

Silva, Eliabe Bezerra de Oliveira. "Evaluation of School Learning: The Pedagogical Alignment of Evaluation Practices." Amadeus International Multidisciplinary Journal 1, no. 2 (2017): 17. http://dx.doi.org/10.14295/aimj.v1i2.10.

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This article deals with the relation between evaluation of school performance and other types of evaluation. The purpose of this paper is not to propose internal school evaluation as the central axis in the teaching-learning process, considering the ethical, political, pedagogical and social aspects throughout the evaluation process. The method was the direct observation of the evaluation routines, in state schools of Juazeiro do Norte-Ceará. Bibliographic research was also used to interpret the content. The arguments were constructed in order to renew the discussion on the subject, making pos

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