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Journal articles on the topic 'Observation process'

Author: Grafiati

Published: 21 December 2024

Last updated: 31 July 2025

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1

Kaplan, Bruce. "Online Process Observation." Proceedings of the Human Factors Society Annual Meeting 31, no. 9 (1987): 951–55. http://dx.doi.org/10.1177/154193128703100905.

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Process observation techniques for face-to-face interactions were applied in the online environment found useful for identifying some fundamental issues in the design and implementation of computer conferences for training. Key questions were found to include: How receptive will students be to computer conference delivered training; How is effective participation defined online and what participation requirements, if any, are necessary to create a successful learning environment online; What level of formality and degree of structure is useful; What kind of community development or social life

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2

Park, Sejin. "Exchange as observation process." Cross-Cultural Studies 27, no. 1 (2021): 143–200. http://dx.doi.org/10.17249/ccs.2021.06.27.1.143.

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3

Mamat, Sarizam Bin, Shinichi Tashiro, and Manabu Tanaka. "Observation of Metal Transfer in Plasma MIG Welding Process." QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY 35, no. 2 (2017): 33s—37s. http://dx.doi.org/10.2207/qjjws.35.33s.

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4

TERAMOTO, Koji, Shohei KUDO, and Yuichiro FURUYA. "B023 In-process Observation of Workpiece Deformation in Elastomer Endmilling." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2013.7 (2013): 259–62. http://dx.doi.org/10.1299/jsmelem.2013.7.259.

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5

Wainwright, Paul. "Observation and the research process." Nursing Standard 4, no. 43 (1990): 39–40. http://dx.doi.org/10.7748/ns.4.43.39.s36.

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6

Yoshioka, Naoto, and Masato Yoshioka. "Dynamic observation of indentation process." Geophysical Research Letters 22, no. 2 (1995): 113–16. http://dx.doi.org/10.1029/94gl02843.

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7

Krivonos, I. Yu, V. G. Pokotilo, and B. N. Pshenichnyi. "Optimization of the observation process." Journal of Applied Mathematics and Mechanics 54, no. 3 (1990): 317–20. http://dx.doi.org/10.1016/0021-8928(90)90131-s.

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8

Lee, Jung Soo. "Self-observation of the design process." Research Journal of the Costume Culture 24, no. 6 (2016): 743–55. http://dx.doi.org/10.7741/rjcc.2016.24.6.743.

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9

최영주. "Explicit Observation of EFL Writing Process." English21 24, no. 1 (2011): 291–310. http://dx.doi.org/10.35771/engdoi.2011.24.1.013.

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10

MATSUBA, GO. "Observation of Fiber Structure Formation Process." Sen'i Gakkaishi 68, no. 10 (2012): P—301—P—303. http://dx.doi.org/10.2115/fiber.68.p-301.

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11

Barkley, Stephen G. "Stage-Fright in the Observation Process." Kappa Delta Pi Record 27, no. 1 (1990): 19–20. http://dx.doi.org/10.1080/00228958.1990.10518619.

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12

Moseley, David Simon. "Endings, parallel process and infant observation." Infant Observation 10, no. 2 (2007): 121–27. http://dx.doi.org/10.1080/13698030701466796.

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13

Lee, Jung Soo. "Self-observation of the design process." Research Journal of the Costume Culture 24, no. 6 (2016): 743–55. http://dx.doi.org/10.29049/rjcc.2016.24.6.743.

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14

Beck, Nathaniel. "Is Causal-Process Observation an Oxymoron?" Political Analysis 14, no. 3 (2006): 347–52. http://dx.doi.org/10.1093/pan/mpj015.

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When I first read King, Keohane, and Verba (1994) (KKV), I was excited by the general theme of what seemed to me the obvious, but usually unspoken, idea that all political scientists, both quantitative and qualitative, are scientists and governed by the same scientific standards. KKV, as Henry Brady (Brady and Collier 2004, chap. 3) cleverly notes, clearly were preaching to the qualitative researcher, and the subject of the sermon was that qualitative researchers should adopt many of the ideas standard in quantitative research. Thus, to abuse both the metaphor and KKV, one might compare KKV to

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15

Prasenjit, Pal. "Laboratory Method and Development of Scientific Process Skills." RESEARCH REVIEW International Journal of Multidisciplinary 3, no. 12 (2018): 219–24. https://doi.org/10.5281/zenodo.2313514.

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The role of laboratory method in the development of scientific process skills cannot be underestimated. Here we incorporated observation, classifying, experimenting and predicting in expressing scientific process skills. The subjects of the study were 350 students (200 boys and 150 girls) of class VI of 6 different schools of Malda district selected randomly. The subjects were assigned to two groups. The experimental group was taught by laboratory method and control group was taught by conventional method. Simultaneously a group of 26 teachers were selected randomly from those schools for obse

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16

Hou, Pengyu, Jiuping Zha, Teng Liu, and Baocheng Zhang. "LS-VCE Applied to Stochastic Modeling of GNSS Observation Noise and Process Noise." Remote Sensing 14, no. 2 (2022): 258. http://dx.doi.org/10.3390/rs14020258.

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Stochastic models play a crucial role in global navigation satellite systems (GNSS) data processing. Many studies contribute to the stochastic modeling of GNSS observation noise, whereas few studies focus on the stochastic modeling of process noise. This paper proposes a method that is able to jointly estimate the variances of observation noise and process noise. The method is flexible since it is based on the least-squares variance component estimation (LS-VCE), enabling users to estimate the variance components that they are specifically interested in. We apply the proposed method to estimat

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17

Pfeifer, Tilo, Reinhard Freudenberg, Gerd Dussler, and Benno Bröcher. "Quality control and process observation for the micro assembly process." Measurement 30, no. 1 (2001): 1–18. http://dx.doi.org/10.1016/s0263-2241(00)00050-6.

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18

Dshalalow, Jewgeni H., and Jean-Baptiste Bacot. "On functionals of a marked Poisson process observed by a renewal process." International Journal of Mathematics and Mathematical Sciences 26, no. 7 (2001): 427–36. http://dx.doi.org/10.1155/s0161171201005221.

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We study the functionals of a Poisson marked processΠobserved by a renewal process. A sequence of observations continues untilΠcrosses some fixed level at one of the observation epochs (the first passage time). In various stochastic models applications (such as queueing withN-policy combined with multiple vacations), it is necessary to operate with the value ofΠprior to the first passage time, or prior to the first passage time plus some random time. We obtain a time-dependent solution to this problem in a closed form, in terms of its Laplace transform. Many results are directly applicable to

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19

Shi, Guimin, Sheng Yang, Changyong Liu, Shimin Meng, Zhiming Luo, and Shaozi Li. "An HCI-Based Cognitive Architecture for Learning Process Observation." International Journal of Distance Education Technologies 18, no. 1 (2020): 1–18. http://dx.doi.org/10.4018/ijdet.2020010101.

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In this article, a cognitive framework for observing learning activities based on human-computer coupling is proposed. The observation is based on the vectorization of a learning situation along with human-computer interaction factors. An evolutionary high-dimensional topology of learning cognitive flow is introduced for human-computer interaction. In addition, the authors have selected a tree topology as the topological structure of a low-dimensional learning space to process the observations for online learning. Furthermore, the mechanism for the BSM (brain cognitive body-situation of coupli

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20

UEDA, Kanji, and Tadaaki SUGITA. "In-Situ SEM Observation of Microcutting Process." Tetsu-to-Hagane 72, no. 1 (1986): 153–58. http://dx.doi.org/10.2355/tetsutohagane1955.72.1_153.

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21

Kurimoto, E., M. Hangyo, H. Harima, et al. "Spectroscopic observation of oxidation process in InN." Applied Physics Letters 84, no. 2 (2004): 212–14. http://dx.doi.org/10.1063/1.1639511.

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22

Chamberlain, John Martyn, Meriel D’Artrey, and Deborah-Anne Rowe. "Peer observation of teaching: A decoupled process." Active Learning in Higher Education 12, no. 3 (2011): 189–201. http://dx.doi.org/10.1177/1469787411415083.

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This article details the findings of research into the academic teaching staff experience of peer observation of their teaching practice. Peer observation is commonly used as a tool to enhance a teacher’s continuing professional development. Research participants acknowledged its ability to help develop their teaching practice, but they also reported that it could operate superficially as a tick box exercise, that its outcomes were frequently decoupled from formal staff development processes, and that its purpose and usefulness therefore seemed unclear. This article argues that the presence of

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23

BANNO, Shinichi, Takashi ONISHI, Kohei MUTA, Takakazu KITAGAWA, and Kazuhito OHASHI. "Observation of the loading process in superfinishing." Proceedings of Conference of Chugoku-Shikoku Branch 2017.55 (2017): K0306. http://dx.doi.org/10.1299/jsmecs.2017.55.k0306.

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24

Frankel, Joe, and Simon King. "Observation process adaptation for linear dynamic models." Speech Communication 48, no. 9 (2006): 1192–99. http://dx.doi.org/10.1016/j.specom.2006.05.001.

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25

Kordonsky, Simon, Juri Plusnin, and Oksana Morgunova. "Education by observation: Students in research process." Voprosy Obrazovaniya/ Educational Studies. Moscow, no. 4 (2010): 54–69. http://dx.doi.org/10.17323/1814-9545-2010-4-54-69.

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26

Visser, Emile, Corné E. van Daalen, and J. C. Schoeman. "Lossy compression of observations for Gaussian process regression." MATEC Web of Conferences 370 (2022): 07006. http://dx.doi.org/10.1051/matecconf/202237007006.

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This paper proposes a novel approach of Gaussian process observation set compression based on a squared difference measure. It is used to discard observations to speed up Gaussian process prediction while retaining the information encoded in the full set of observations. Furthermore, this paper compares the regression performance of a compressed Gaussian process to its uncompressed version and to a randomly downsampled Gaussian process for a standard two-dimensional test function. The empirical results of this paper show that this is an effective algorithm for Gaussian process compression, spe

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27

Yamaguchi, Nobuhiko. "Visualizing States of Time-Series Data by Autoregressive Gaussian Process Dynamical Models." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 5 (2017): 825–31. http://dx.doi.org/10.20965/jaciii.2017.p0825.

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Gaussian process dynamical models (GPDMs) are used for nonlinear dimensionality reduction in time series by means of Gaussian process priors. An extension of GPDMs is proposed for visualizing the states of time series. The conventional GPDM approach associates a state with an observation value. Therefore, observations changing over time cannot be represented by a single state. Consequently, the resulting visualization of state transition is difficult to understand, as states change when the observation values change. To overcome this issue, autoregressive GPDMs, called ARGPDMs, are proposed. T

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28

Rawat, Devendra, Nilima Salankar, and Monit Kapoor. "Peer-Observation: An Intensive Study and its Impact On the Teaching-Learning Process." Journal of Engineering Education Transformations 36, no. 1 (2022): 165–74. http://dx.doi.org/10.16920/jeet/2022/v36i1/22148.

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Abstract : Peer observation in teaching-learning significantly impacts students' learning and understanding experience. It improves the quality of the content delivery by the instructor and provides the learning opportunity to observer also. It is threefold learning from all perspectives. Thus, it is a collaborative idea sharing and achieving excellence by incorporating the best of others. Authors have experimented with the peer observation and feedback strategy to improve students' academic performance and overall teaching cum teaching experience. One semester activity has been conducted to c

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29

Hirpara, Ravish H. "Filtering theory for an Ornstein-Uhlenbeck process driven power system dynamics." Control and Cybernetics 53, no. 2 (2024): 355–70. https://doi.org/10.2478/candc-2024-0015.

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Abstract This paper revisits the non-Markovian state vector of an Ornstein-Uhlenbeck process-driven power system dynamics in non-linear filtering framework. The Fokker-Planck setting accounts for the process noise correction term and ignores the observation noise correction term in the analysis of stochastic systems. This paper introduces the notion of the ‘Kushner-Stratonovich setting’, which accounts for the process noise as well as observation noise correction terms in the conditional moment evolution equation. The Kushner-Stratonovich setting is the cornerstone formalism of nonlinear filte

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30

Rybska, Eliza. "Scientific observation for developing children’s scientific practice skills and sensitivity: A perspective from science education." Problemy Wczesnej Edukacji 59, no. 2 (2024): 100–115. https://doi.org/10.26881/pwe.2024.59.08.

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Scientific observation is one of the elementary methods of learning about the world, especially in biology and geography. Meanwhile, its understanding is still colloquial and superficial, and its presence in school science is quite marginal. I present the theoretical assumptions of scientific observation and how it differs from everyday observation. In addition, I present a short description of how children’s observation skills develop and argue why it is worth introducing scientific observation into the educational process. I support these considerations by presenting basic assumptions that c

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31

Adedayo, Ogunleye. "The adoption of observation technique in coaching process." i-manager's Journal on Educational Psychology 18, no. 4 (2025): 39. https://doi.org/10.26634/jpsy.18.4.20991.

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This research paper studies the impact of observation techniques in coaching processes in sports, business, and educational settings. In a mixed-methods design, qualitative data through interviews and quantitative data through surveys were collected from a sample of 50 coaches and 100 coachees to conduct both textual and talking analysis along with statistical quantification of the results. The paper illustrates that observation technique contributes considerably to the optimization of feedback mechanisms in the forms of objective, specific, and actionable insights that positively impact coach

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32

LI, Wenwu, Rengui Cheng, Changyong Liu, Wensen Yu, Lei Guo, and Shimin Meng. "Cognitive Process Observation Based on Human-Computer Interaction." Open Automation and Control Systems Journal 6, no. 1 (2014): 146–56. http://dx.doi.org/10.2174/1874444301406010146.

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33

Suzuki, K., M. Ichihara, K. Kimura, S. Takeuchi, and H. Ino. "Direct Observation of Fracture Process in Quasicrystalline Alloy." Key Engineering Materials 13-15 (January 1987): 237–40. http://dx.doi.org/10.4028/www.scientific.net/kem.13-15.237.

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34

Wan, Tao Yu, and G. K. Stylios. "Investigates of Fabric Coating Approaches: Process and Observation." Advanced Materials Research 658 (January 2013): 140–46. http://dx.doi.org/10.4028/www.scientific.net/amr.658.140.

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In this work, polyurethane coating on the fabrics is studied in the Basecoater 200. The structure and morphology of coated fabrics were investigated using SEM and soaking test in the cured coated samples. Coating thicknesses, surface friction coefficient and surface roughness variation of the samples were measured using the surface tester of the KESF. Results showed that uniform and cross linking degree of the surface layer of coated samples have close relevant with coat processing. The performance quality of end products can be achieved by optimization of process variables, including coating

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35

Negishi, Akira, Yoshihisa Suda, and Hiroko Kaneko. "Cyclic-Voltammetric Observation of Carbonizing Process of Resins." TANSO 1999, no. 186 (1999): 13–19. http://dx.doi.org/10.7209/tanso.1999.13.

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36

Dennis, Brian, José Miguel Ponciano, Subhash R. Lele, Mark L. Taper, and David F. Staples. "ESTIMATING DENSITY DEPENDENCE, PROCESS NOISE, AND OBSERVATION ERROR." Ecological Monographs 76, no. 3 (2006): 323–41. http://dx.doi.org/10.1890/0012-9615(2006)76[323:eddpna]2.0.co;2.

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37

Zhang, Y., Z. Gong, Z. Jiang, et al. "Observation of the development process by positron annihilation." Imaging Science Journal 47, no. 2 (1999): 93–97. http://dx.doi.org/10.1080/13682199.1999.11736460.

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38

Kanter, Marek. "Can a quantum process be oblivious to observation?" Journal of Mathematical Physics 38, no. 11 (1997): 5590–604. http://dx.doi.org/10.1063/1.532153.

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39

Thombansen, Ulrich, and Michael Ungers. "Illumination for Process Observation in Laser Material Processing." Physics Procedia 56 (2014): 1286–96. http://dx.doi.org/10.1016/j.phpro.2014.08.053.

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40

Garber, Benjamin D. "Exploring a Process-Oriented Forensic Family Observation Protocol." Family Court Review 54, no. 2 (2016): 261–76. http://dx.doi.org/10.1111/fcre.12217.

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41

Dainson, B. E., B. Tartakovsky, D. R. Lewin, and M. Sheintuch. "Variable Structure Models in Process Observation and Control." Industrial & Engineering Chemistry Research 34, no. 9 (1995): 3008–13. http://dx.doi.org/10.1021/ie00048a012.

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42

SUDAK, HOWARD S. "Psychoanalytic Process: Theory, Clinical Observation, and Empirical Research." American Journal of Psychiatry 145, no. 3 (1988): 368—a—369. http://dx.doi.org/10.1176/ajp.145.3.368-a.

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43

Yansheng Ma, Bo Liu, and Jiang Zhou. "Observation and simulation study of dynamic load process." IEEE Transactions on Magnetics 39, no. 5 (2003): 2414–16. http://dx.doi.org/10.1109/tmag.2003.816422.

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44

Ichihashi, Toshinari, Masahiko Ishida, Yukinori Ochiai, and Jun-ichi Fujita. "In situ observation of carbon-nanopillar tubulization process." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 22, no. 6 (2004): 3221. http://dx.doi.org/10.1116/1.1808713.

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45

Beck, Nathaniel. "Causal Process “Observation”: Oxymoron or (Fine) Old Wine." Political Analysis 18, no. 4 (2010): 499–505. http://dx.doi.org/10.1093/pan/mpq023.

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The issue of how qualitative and quantitative information can be used together is critical. Brady, Collier, and Seawright (BCS) have argued that “causal process observations” can be adjoined to “data set observations.” This implies that qualitative methods can be used to add information to quantitative data sets. In a symposium inPolitical Analysis, I argued that such qualitative information cannot be adjoined in any meaningful way to quantitative data sets. In that symposium, the original authors offered several defenses, but, in the end, BCS can be seen as recommending good, but hopefully st

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46

Ikeda, Hisashi, and Yukio Ohsawa. "Visualization of Insight Process in Concept Creation Focusing Handwriting Features." International Journal of Knowledge and Systems Science 4, no. 1 (2013): 18–31. http://dx.doi.org/10.4018/jkss.2013010102.

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In order to support concept-creation, the authors focus on handwriting assuming that it should contain the information on the process toward insight. As a result of intensive analysis of handwriting in concept creation process, one observation is that pen speed gets faster on insight after the period in which pen speed is relatively slow or time gaps get increased. Another observation is that pen pressure gets higher on insight after the same kind of period as above. Based on those observations, the authors derive a hypothesis on relationship between insight process and handwriting. In some si

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47

Watanabe, K., W. Nagatake, T. Takahashi, Y. Masubuchi, J. Takimoto, and K. Koyama. "Direct observation of polymer crystallization process under shear by a shear flow observation system." Polymer Testing 22, no. 1 (2003): 101–8. http://dx.doi.org/10.1016/s0142-9418(02)00057-0.

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48

Bahri, Syamsul, and Meisuri Meisuri. "Enhancing Students’ Drama Performance: A Process Approach." Budapest International Research and Critics in Linguistics and Education (BirLE) Journal 3, no. 1 (2020): 454–60. http://dx.doi.org/10.33258/birle.v3i1.840.

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This research aims at describing and developing website based authentic assessment model on drama course in English literature study program. The research data comes from descriptive information of the experts or validator along with the suggestion from the students as the product user through the PBL activity combined with the observation and recording with video tape. Data analysis is done by using rubric measure: a) the information completeness which is applied on the work sheets. b) the information comprehensiveness which is included in the paragraph written by the students. The overall of

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49

Tarusha, Florinda, and Jonida Bushi. "The Role of Classroom Observation, Its Impact on Improving Teacher's Teaching Practices." European Journal of Theoretical and Applied Sciences 2, no. 2 (2024): 718–23. http://dx.doi.org/10.59324/ejtas.2024.2(2).63.

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Classroom observations are part of any classroom environment. Observations are part of a teacher's entire career, regardless of whether they are part of routine supervision or monitoring by school leaders. Providing a positive critical framework for evaluating one's practice, improving skills and developing strengths can be considered advantages of conducting classroom observation. At worst, they can create stress and test the confidence of the person being observed. Teacher observation is one step in the process of identifying changes that teachers may want to make. Measuring Teacher Professi

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50

Florinda, Tarusha, and Bushi Jonida. "The Role of Classroom Observation, Its Impact on Improving Teacher's Teaching Practices." European Journal of Theoretical and Applied Sciences 2, no. 2 (2024): 718–23. https://doi.org/10.59324/ejtas.2024.2(2).63.

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Classroom observations are part of any classroom environment. Observations are part of a teacher's entire career, regardless of whether they are part of routine supervision or monitoring by school leaders. Providing a positive critical framework for evaluating one's practice, improving skills and developing strengths can be considered advantages of conducting classroom observation. At worst, they can create stress and test the confidence of the person being observed. Teacher observation is one step in the process of identifying changes that teachers may want to make. Measuring Teacher Professi

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