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Journal articles on the topic 'Computational practice'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Sowder, Judith. "Research into Practice: Developing Understanding of Computational Estimation." Arithmetic Teacher 36, no. 5 (1989): 25–27. http://dx.doi.org/10.5951/at.36.5.0025.

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Many recent documents call for a renewed emphasis on computational estimation in the classroom. However, researchers are only now giving attention to how students learn computational estimation. The research described here focused on how children develop the ability to estimate computations. We begin with a brief description of the theory on which the research was based, describe the research study itself, and finally discuss the study's implications and extensions into the classroom.

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2

Lampert, Magdalene. "Research into Practice: Arithmetic as Problem Solving." Arithmetic Teacher 36, no. 7 (1989): 34–36. http://dx.doi.org/10.5951/at.36.7.0034.

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Teachers often feel torn, especially in upper elementary school mathematics classes, between spending time on problem-solving work that will get students to understand mathematics and spending time on developing computational skills. The conflict is especially strong because the computational skills in the curriculum at this level are complex: “long” multiplication and division, relating fractions to decimals and percents, and operations on fractions. The procedures involved in doing these computations involve many steps, and students often have difficulty remembering what to do and in what or

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3

DONG, ANDY. "Special Issue: Design computing and cognition." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 19, no. 4 (2005): 227–28. http://dx.doi.org/10.1017/s0890060405050158.

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The field of research in design computing and cognition focuses on computational theories and systems that enact design. Design computing and cognition produces a unifying framework to model and explain design beyond the description of “design computing and cognition,” as in “design computing” and “design cognition” as two cognate disciplines. Research in design computing and cognition recognizes not only the essential relationship between human cognitive processes as models of computation but also how models of computation inspire conceptual realizations of human cognition in design. The arti

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4

Cases Martín, Ignacio, and Alfonso Lacadena García-Gallo. "A Computational Approach to Scribal Practice." Revista Española de Antropología Americana 49, Especial (2019): 209–24. http://dx.doi.org/10.5209/reaa.64967.

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The study of the construction of social meaning in ancient Maya communities of Mesoamerica poses a variety of methodological problems in historical sociolinguistics due to the reliance on written records by means of a writing system that exhibits variation itself. While variation in writing systems has been previously studied in terms of diachronic shifts and dialectal variation, systematic approaches still remain elusive. This paper explores new avenues for the computational extraction of sociolinguistic features, resulting in the automatic extraction of useful sociolinguistic information fro

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5

Lee, Irene, Fred Martin, Jill Denner, et al. "Computational thinking for youth in practice." ACM Inroads 2, no. 1 (2011): 32–37. http://dx.doi.org/10.1145/1929887.1929902.

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6

Khatibi, Rahman. "Some Issues in Computational Hydraulics Practice." Journal of Hydraulic Engineering 127, no. 6 (2001): 438–42. http://dx.doi.org/10.1061/(asce)0733-9429(2001)127:6(438).

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7

Bruel, Jean-Michel, Benoit Combemale, Ileana Ober, and Hélène Raynal. "MDE in Practice for Computational Science." Procedia Computer Science 51 (2015): 660–69. http://dx.doi.org/10.1016/j.procs.2015.05.182.

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8

Reddy, BL. "Computational Challenges in Statistical Outcome of Teaching Learning Practice: A Scientific Review." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 2603–6. http://dx.doi.org/10.5373/jardcs/v12sp7/20202395.

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9

Duncan, David R., and Bonnie H. Litwiller. "Ideas." Arithmetic Teacher 33, no. 7 (1986): 26–32. http://dx.doi.org/10.5951/at.33.7.0026.

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To maintain students' computational skills, practice is needed. Students find practice activities more in teresting if they are provided in new and novel situations. It's a bonus if students discover number patterns as a result of the computations.

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10

Maley, Carlo C. "DNA Computation: Theory, Practice, and Prospects." Evolutionary Computation 6, no. 3 (1998): 201–29. http://dx.doi.org/10.1162/evco.1998.6.3.201.

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L. M. Adleman launched the field of DNA computing with a demonstration in 1994 that strands of DNA could be used to solve the Hamiltonian path problem for a simple graph. He also identified three broad categories of open questions for the field. First, is DNA capable of universal computation? Second, what kinds of algorithms can DNA implement? Third, can the error rates in the manipulations of the DNA be controlled enough to allow for useful computation? In the two years that have followed, theoretical work has shown that DNA is in fact capable of universal computation. Furthermore, algorithms

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11

Hastings, William R. "Sharing Teaching Ideas: Practical Practice." Mathematics Teacher 82, no. 9 (1989): 702–4. http://dx.doi.org/10.5951/mt.82.9.0702.

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Unimaginative and repetitive drills of elementary number facts can be boring to both students and teachers. Yet computational facility is very important and must be developed and strengthened. The following exercise helps students practice computational skills, discover patterns, and check their own answers.

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12

Downes, Stephen. "Modeling scientific practice: Paul Thagard's computational approach." New Ideas in Psychology 11, no. 2 (1993): 229–43. http://dx.doi.org/10.1016/0732-118x(93)90036-d.

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13

Demchuk, Eugene, Patricia Ruiz, Jewell D. Wilson, et al. "Computational Toxicology Methods in Public Health Practice." Toxicology Mechanisms and Methods 18, no. 2-3 (2008): 119–35. http://dx.doi.org/10.1080/15376510701857148.

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14

Yuan, Zheng, and Jacob Fish. "Toward realization of computational homogenization in practice." International Journal for Numerical Methods in Engineering 73, no. 3 (2007): 361–80. http://dx.doi.org/10.1002/nme.2074.

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15

Cheatle, Amy, and Steven Jackson. "(Re)collecting Craft: Reviving Materials, Techniques, and Pedagogies of Craft for Computational Makers." Proceedings of the ACM on Human-Computer Interaction 7, CSCW2 (2023): 1–23. http://dx.doi.org/10.1145/3610041.

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This paper examines craft's foundational relations to materials, techniques, and collaborative modes of teaching and learning, and these can be called upon to strengthen and extend computational craft as practiced in fields like CSCW and HCI. Drawing from literature in HCI, craft studies and Science and Technology Studies (STS), we explore craft's modern formation at the dawn of the Industrial Revolution across three formative sites: Scandinavian Slöyd, British Arts and Crafts, and Japanese Mingei. From this review we identify three key (and still evolving) features: craft's accountabilities t

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16

Atherton, Timothy J. "Resource Letter CP-3: Computational physics." American Journal of Physics 91, no. 1 (2023): 7–27. http://dx.doi.org/10.1119/5.0106476.

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This Resource Letter provides information and guidance for those looking to incorporate computation into their courses or to refine their own computational practice. We begin with general resources, including policy documents and supportive organizations. We then survey efforts to integrate computation across the curriculum as well as provide information for instructors looking to teach a computational physics course specifically. An overview of education research into computation in physics, including materials from beyond Physics Education Research, is then provided, followed by suggestions

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17

Denning, Peter J., and Matti Tedre. "Computational thinking for professionals." Communications of the ACM 64, no. 12 (2021): 30–33. http://dx.doi.org/10.1145/3491268.

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18

José Raimundo, Anderson, and Claudinea Angélica dos Santos. "COMPUTATIONAL THINKING." Journal of Interdisciplinary Debates 4, no. 01 (2023): 47–69. http://dx.doi.org/10.51249/jid.v4i01.1253.

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Technology is present in the world so that its use becomes intuitive. The purpose of the study originated from the perception of people, especially young people who use technology practically all the time, but many of them do not use it to develop. In this case, the need to implement computing teaching in schools increases. The introduction of computing concepts from the early years of basic education gains a lot of importance. Computational thinking instructs people how to think about solving problems through concepts in the field of informatics. The unplugged activity presents great computin

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19

Haas, Alison, Scott E. Grapin, Daniel Wendel, Lorena Llosa, and Okhee Lee. "How Fifth-Grade English Learners Engage in Systems Thinking Using Computational Models." Systems 8, no. 4 (2020): 47. http://dx.doi.org/10.3390/systems8040047.

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The purpose of this study was to investigate how computational modeling promotes systems thinking for English Learners (ELs) in fifth-grade science instruction. Individual student interviews were conducted with nine ELs about computational models of landfill bottle systems they had developed as part of a physical science unit. We found evidence of student engagement in four systems thinking practices. Students used data produced by their models to investigate the landfill bottle system as a whole (Practice 1). Students identified agents and their relationships in the system (Practice 2). Stude

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20

Park, Buhm Soon. "Between Accuracy and Manageability: Computational Imperatives in Quantum Chemistry." Historical Studies in the Natural Sciences 39, no. 1 (2009): 32–62. http://dx.doi.org/10.1525/hsns.2009.39.1.32.

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This article explores the place of computation in the history of quantum theory by examining the development of several approximation methods to solve the Schröödinger equation without using empirical information, as these were worked out in the years from 1927 to 1933. These ab initio methods, as they became known, produced the results that helped validate the use of quantum mechanics in many-body atomic and molecular systems, but carrying out the computations became increasingly laborious and difficult as better agreement between theory and experiment was pursued and more complex systems wer

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21

Needleman, A. "Computational Mechanics." Applied Mechanics Reviews 38, no. 10 (1985): 1282–83. http://dx.doi.org/10.1115/1.3143692.

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Computational methods play a key role in solid mechanics, as a way of modelling fundamental aspects of mechanical behavior, as a vehicle for transferring this improved modelling capability into new engineering tools, and as a means of utilizing these tools in engineering practice. Modern computational methods enable realistic models of mechanical systems to be formulated without regard as to whether or not analytical solutions are feasible. Increased computational capability is also an incentive for developing more accurate theories, since it becomes possible to use such theories to solve comp

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22

Sun, Jiameng, Binrui Zhu, Jing Qin, Jiankun Hu, and Jixin Ma. "Confidentiality-Preserving Publicly Verifiable Computation Schemes for Polynomial Evaluation and Matrix-Vector Multiplication." Security and Communication Networks 2018 (June 21, 2018): 1–15. http://dx.doi.org/10.1155/2018/5275132.

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With the development of cloud services, outsourcing computation tasks to a commercial cloud server has drawn attention of various communities, especially in the Big Data era. Public verifiability offers a flexible functionality in real circumstance where the cloud service provider (CSP) may be untrusted or some malicious users may slander the CSP on purpose. However, sometimes the computational result is sensitive and is supposed to remain undisclosed in the public verification phase, while existing works on publicly verifiable computation (PVC) fail to achieve this requirement. In this paper,

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23

Thomas, Dave. "Computational Diversity, Practice and a Passion for Applications." Journal of Object Technology 2, no. 3 (2003): 7. http://dx.doi.org/10.5381/jot.2003.2.3.c1.

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24

Katherine Hayles, N. "Revealing and Transforming: How literature revalues computational practice." Performance Research 11, no. 4 (2006): 5–16. http://dx.doi.org/10.1080/13528160701363192.

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25

de Vries, Alex H., Piet Th van Duijnen, Rob W. J. Zijlstra, and Marcel Swart. "Thole's interacting polarizability model in computational chemistry practice." Journal of Electron Spectroscopy and Related Phenomena 86, no. 1-3 (1997): 49–55. http://dx.doi.org/10.1016/s0368-2048(97)00048-0.

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26

Critchley, Frank, and Paul Marriott. "Computational Information Geometry in Statistics: Theory and Practice." Entropy 16, no. 5 (2014): 2454–71. http://dx.doi.org/10.3390/e16052454.

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27

B Odden, Tor Ole, and Anders Malthe-Sørenssen. "Using computational essays to scaffold professional physics practice." European Journal of Physics 42, no. 1 (2020): 015701. http://dx.doi.org/10.1088/1361-6404/abb8b7.

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28

Thomas, Will R., Benjamin Galewsky, Sandeep Puthanveetil Satheesan, et al. "Petabytes in Practice: Working with Collections as Data at Scale." Data and Information Management 3, no. 1 (2019): 18–25. http://dx.doi.org/10.2478/dim-2019-0004.

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AbstractThe emerging transdiscipline of Computational Archival Science (CAS) links frameworks such as Brown Dog and repository software such as Digital Repository At Scale To Invite Computation (DRAS-TIC) to yield an understanding of working with digital collections at scale for cultural data. The DRAS-TIC and Brown Dog projects here serve as the basis for an expandable distributed storage/service architecture with on-demand, horizontally scalable integrated digital preservation and analysis services.

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29

Bovermann, Till, and Dave Griffiths. "Computation as Material in Live Coding." Computer Music Journal 38, no. 1 (2014): 40–53. http://dx.doi.org/10.1162/comj_a_00228.

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What does computation sound like, and how can computational processing be integrated into live-coding practice along with code? This article gives insights into three years of artistic research and performance practice with Betablocker, an imaginary central processing unit architecture, specifically designed and implemented for live-coding purposes. It covers the themes of algorithmic composition, sound generation, genetic programming, and autonomous coding in the light of self-manipulating code and artistic research practice.

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30

Chen, Kian Wee, Patrick Janssen, Dorit Aviv, Yazid Ninsalam, and Forrest Meggers. "A framework for considering the use of computational design technologies in the built environment design process." Journal of Information Technology in Construction 27 (November 22, 2022): 1010–27. http://dx.doi.org/10.36680/j.itcon.2022.049.

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This research proposes a Computation in Design (C-in-D) framework for design practices to consider the adoption of computational technologies in their design process. Examples of computational design technologies include but are not limited to computational algorithms, the Internet of Things (IoT), reality capture and digital fabrications. We develop the framework by categorizing design projects based on their physical scales, defining the work stages in a design project, and decomposing the design process into tasks and data flows. The computational design technologies can then be assessed by

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31

Lambert, Rachel, Kara Imm, and Dina A. Williams. "Number Strings: Daily Computational Fluency." Teaching Children Mathematics 24, no. 1 (2017): 48–55. http://dx.doi.org/10.5951/teacchilmath.24.1.0048.

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32

Smeulders, Bart, Laurens Cherchye, and Bram De Rock. "Nonparametric Analysis of Random Utility Models: Computational Tools for Statistical Testing." Econometrica 89, no. 1 (2021): 437–55. http://dx.doi.org/10.3982/ecta17605.

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Kitamura and Stoye (2018) recently proposed a nonparametric statistical test for random utility models of consumer behavior. The test is formulated in terms of linear inequality constraints and a quadratic objective function. While the nonparametric test is conceptually appealing, its practical implementation is computationally challenging. In this paper, we develop a column generation approach to operationalize the test. These novel computational tools generate considerable computational gains in practice, which substantially increases the empirical usefulness of Kitamura and Stoye's statisti

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33

Sun, Jiameng, Binrui Zhu, Jing Qin, Jiankun Hu, and Qianhong Wu. "Confidentiality-Preserving Publicly Verifiable Computation." International Journal of Foundations of Computer Science 28, no. 06 (2017): 799–818. http://dx.doi.org/10.1142/s0129054117400196.

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Cloud computing enables users to outsource complicated computational tasks to a commercial computing server and relieves the users from establishing and maintaining expensive local computation systems. In this scenario, the minimum security requirement is that the result returned by the server must be correct. Publicly verifiable computation (PVC) has been proposed to address this issue by allowing the computational result to be publicly verifiable. Observing that computational tasks are usually private business in practice, we propose a confidentiality-preserving security tool referred to as

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34

Heath, Anna, Natalia Kunst, Christopher Jackson, et al. "Calculating the Expected Value of Sample Information in Practice: Considerations from 3 Case Studies." Medical Decision Making 40, no. 3 (2020): 314–26. http://dx.doi.org/10.1177/0272989x20912402.

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Background. Investing efficiently in future research to improve policy decisions is an important goal. Expected value of sample information (EVSI) can be used to select the specific design and sample size of a proposed study by assessing the benefit of a range of different studies. Estimating EVSI with the standard nested Monte Carlo algorithm has a notoriously high computational burden, especially when using a complex decision model or when optimizing over study sample sizes and designs. Recently, several more efficient EVSI approximation methods have been developed. However, these approximat

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35

Zhan, Tao, Zhi Gang Liao, and Li Gao. "Research of from Theory to Practice about Computational Thinking." Advanced Materials Research 1044-1045 (October 2014): 1266–69. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1266.

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Computer Thinking is the core content of Computer Basic knowledge. With the full implementation of quality education in order to cultivate the innovative spirit and practical ability, computer thinking knowledge and skills are necessary for current college students. Aimed at the, the paper puts forward Visualization teaching methods and use typical cases in teaching experience of College Computer Foundation, which will help students have access to professional knowledge and skills about computer science.

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36

Crum, Justin, Cyrus Cheng, David A. Ham, et al. "Bringing Trimmed Serendipity Methods to Computational Practice in Firedrake." ACM Transactions on Mathematical Software 48, no. 1 (2022): 1–19. http://dx.doi.org/10.1145/3490485.

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We present an implementation of the trimmed serendipity finite element family, using the open-source finite element package Firedrake. The new elements can be used seamlessly within the software suite for problems requiring H 1 , H (curl), or H (div)-conforming elements on meshes of squares or cubes. To test how well trimmed serendipity elements perform in comparison to traditional tensor product elements, we perform a sequence of numerical experiments including the primal Poisson, mixed Poisson, and Maxwell cavity eigenvalue problems. Overall, we find that the trimmed serendipity elements con

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37

Spencer, Matt. "Image and Practice: Visualization in Computational Fluid Dynamics Research." Interdisciplinary Science Reviews 37, no. 1 (2012): 86–100. http://dx.doi.org/10.1179/0308018812z.0000000006.

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38

Cui, Juan, and Jiang Shu. "Circulating microRNA trafficking and regulation: computational principles and practice." Briefings in Bioinformatics 21, no. 4 (2019): 1313–26. http://dx.doi.org/10.1093/bib/bbz079.

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Abstract Rapid advances in genomics discovery tools and a growing realization of microRNA’s implication in intercellular communication have led to a proliferation of studies of circulating microRNA sorting and regulation across cells and different species. Although sometimes, reaching controversial scientific discoveries and conclusions, these studies have yielded new insights in the functional roles of circulating microRNA and a plethora of analytical methods and tools. Here, we consider this body of work in light of key computational principles underpinning discovery of circulating microRNAs

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39

Liu, Xin-Qiao, Xin-Yu Ji, Xing Weng, and Yi-Fan Zhang. "Artificial intelligence ecosystem for computational psychiatry: Ideas to practice." World Journal of Meta-Analysis 11, no. 4 (2023): 79–91. http://dx.doi.org/10.13105/wjma.v11.i4.79.

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40

Boren, Braxton B. "Computational acoustic musicology." Digital Scholarship in the Humanities 34, no. 4 (2018): 707–15. http://dx.doi.org/10.1093/llc/fqy073.

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Abstract While the challenge of historical reconstruction of past musical performances is not a fully solved problem, not all the elements are equally unknown, or of equal magnitude. Despite some uncertainty about the interpretation of individual performers on specific dates, scholarship can still inform other factors of greater perceptual importance, leading to a good approximation of historical performances. In addition to performance style and period instruments, computer simulations make it possible to also account for the acoustics of the period performance space. In addition, the most ac

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41

Russell, Susan Jo. "Principles and Standards: Developing Computational Fluency with Whole Numbers." Teaching Children Mathematics 7, no. 3 (2000): 154–58. http://dx.doi.org/10.5951/tcm.7.3.0154.

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Principles and Standards for School Mathematics (NCTM 2000) emphasizes the goal of computational fluency for all students. It articulates expectations regarding fluency with basic number combinations and the importance of computational facility grounded in understanding (see a summary of key messages regarding computation in Principles and Standards in the sidebar on page 156). Building on the Curriculum and Evaluation Standards for School Mathematics (NCTM 1989) and benefiting from a decade of research and practice, Principles and Standards articulates the need for students to develop procedu

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42

Guidara, Marissa. "Rethinking Computational Thinking for Public Libraries' Youth Programs: Challenges and Recommendations." Pennsylvania Libraries: Research & Practice 6, no. 2 (2018): 75–85. http://dx.doi.org/10.5195/palrap.2018.188.

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Computational thinking has become a popular and important concept in education throughout the nation. Public libraries, with their technology services and their role as an informal learning space, have been tagged as an ideal place for computational thinking learning for children. However, the literature and research surrounding computational thinking is often vague and even misleading, presenting differing visions of what computational thinking is, what it should look like in practice, and how it might be evaluated for effectiveness. As a result, youth services librarians face many challenges

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43

穆, 耶赛尔·艾合麦提. "Deep Integration of Teaching, Research and Practice: Strategies and Practices for Optimizing Computational Mathematics Teaching." Advances in Education 15, no. 02 (2025): 516–24. https://doi.org/10.12677/ae.2025.152270.

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44

FRAGIADAKIS, MICHALIS, and MANOLIS PAPADRAKAKIS. "MODELING, ANALYSIS AND RELIABILITY OF SEISMICALLY EXCITED STRUCTURES: COMPUTATIONAL ISSUES." International Journal of Computational Methods 05, no. 04 (2008): 483–511. http://dx.doi.org/10.1142/s0219876208001674.

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A critical review of the current state of the art of the computing practices adopted by the earthquake engineering community is presented. Advanced computational tools are necessary for estimating the demand on seismically excited structures. Such computational methodologies can provide valuable information on a number of engineering parameters which have been proven essential for earthquake the engineering practice. The discussion extends from the finite element modeling of earthquake-resistant structures and the analysis procedures currently used to future developments considering the calcul

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45

Simone, Pernice, Follia Laura, Balbo Gianfranco, et al. "Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice." Fundamenta Informaticae 171, no. 1-4 (2019): 367–92. http://dx.doi.org/10.3233/fi-2020-1888.

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46

Cortés, J. C., J. V. Romero, M. D. Roselló, Francisco-J. Santonja, and Rafael-J. Villanueva. "Solving Continuous Models with Dependent Uncertainty: A Computational Approach." Abstract and Applied Analysis 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/983839.

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This paper presents a computational study on a quasi-Galerkin projection-based method to deal with a class of systems of random ordinary differential equations (r.o.d.e.’s) which is assumed to depend on a finite number of random variables (r.v.’s). This class of systems of r.o.d.e.’s appears in different areas, particularly in epidemiology modelling. In contrast with the other available Galerkin-based techniques, such as the generalized Polynomial Chaos, the proposed method expands the solution directly in terms of the random inputs rather than auxiliary r.v.’s. Theoretically, Galerkin project

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47

Rodríguez-Cerdeira, Carmen, José Luís González-Cespón, and Roberto Arenas. "Current Status of Computational Intelligence Applications in Dermatological Clinical Practice." Open Dermatology Journal 14, no. 1 (2020): 6–13. http://dx.doi.org/10.2174/1874372202014010006.

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Background: The yeast infections are increasingly frequent and the correct diagnosis consists of the identification of the yeast fungus, which in our case we are going to refer to the different species of Candida. The prescription of a broad-spectrum antifungal without taking into account the etiological agent, leads to an increase in the resistance to these treatments. Objective: The objective of this work is to differentiate Candida albicans from other Candida species (Candida spp.) By means of digital images obtained from the optical microscope. Material and Methods: It has reviewed about 1

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48

Jordanous, Anna. "Four PPPPerspectives on computational creativity in theory and in practice." Connection Science 28, no. 2 (2016): 194–216. http://dx.doi.org/10.1080/09540091.2016.1151860.

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49

Dias, W. P. S. "Philosophical grounding and computational formalization for practice based engineering knowledge." Knowledge-Based Systems 20, no. 4 (2007): 382–87. http://dx.doi.org/10.1016/j.knosys.2006.06.002.

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50

Ahn, Woo-Young, and Jerome R. Busemeyer. "Challenges and promises for translating computational tools into clinical practice." Current Opinion in Behavioral Sciences 11 (October 2016): 1–7. http://dx.doi.org/10.1016/j.cobeha.2016.02.001.

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