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1

Lee, Jungmin, i Wongyoung Lee. "Aspects of A Study on the Multi Presentational Metaphor Education Using Online Telestration". Korean Society of Culture and Convergence 44, nr 9 (30.09.2022): 163–73. http://dx.doi.org/10.33645/cnc.2022.9.44.9.163.

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This study is an attempt to propose a multiple representational metaphor education model that combines linguistic representation and visual representation using online telestration. The advent of the media and online era has incorporated not only the understanding of linguistic representation l but also the understanding of visual representation into an important phase of cognitive behavior and requires the implementation of online learning. In such an era's needs, it can be said that teaching-learning makes metaphors be used as a tool for thinking and cognition in an online environment, learning leads learners to a new horizon of perception by combining linguistic representation and visual representation. The multiple representational metaphor education model using online telestration will have a two-way dynamic interaction in an online environment, and it will be possible to improve learning capabilities by expressing various representations. Multiple representational metaphor education using online telestration will allow us to consider new perspectives and various possibilities of expression to interpret the world by converging and rephrasing verbal and visual representations using media in an online environment.
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Ruliani, Iva Desi, Nizaruddin Nizaruddin i Yanuar Hery Murtianto. "Profile Analysis of Mathematical Problem Solving Abilities with Krulik & Rudnick Stages Judging from Medium Visual Representation". JIPM (Jurnal Ilmiah Pendidikan Matematika) 7, nr 1 (7.09.2018): 22. http://dx.doi.org/10.25273/jipm.v7i1.2123.

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The ability to solve mathematical problems is very important in learning math and everyday life. According to Krulik & Rudnick there are 5 stages of problem solving that is Read, Explore, Select A Strategy, Solve And Look Back. Mathematical problems require multiple representational skills to communicate problems, one of which is visual representation. Trigonometry is one of the materials that uses visual representation. This research is a qualitative descriptive research that aims to describe the ability of problem solving mathematics with Krulik & Rudnick stages in terms of visual representation. The study was conducted in MAN 2 Brebes. Determination of Subjects in this study using Purposive Sampling. Research instruments used to obtain the required data are visual representation and problem-solving tests, and interview guidelines. The data obtained were analyzed based on the Krulik & Rudnick problem solving indicator. Subjects in this study were subjects with moderate visual representation. Based on the results, problem solving ability of the subject is not fully fulfilled. Subjects with visual representations are able to do problem solving well that is solving the problem through a concept that is understood without visualization of the image. Subjects with visual representations are having a schematic visual representation type.
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Stanczak, Gregory C. "Visual Representation". American Behavioral Scientist 47, nr 12 (sierpień 2004): 1471–76. http://dx.doi.org/10.1177/0002764204266234.

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Dilworth, John. "Varieties of Visual Representation". Canadian Journal of Philosophy 32, nr 2 (czerwiec 2002): 183–205. http://dx.doi.org/10.1080/00455091.2002.10716517.

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By a ‘visual representation’ I mean roughly an item that is both visible itself, and which purports to represent some actual subject (that in paradigm cases is also visible), in such a way that the representing item is in some way similar to, or recognizable as, the purported actual subject; and which item has a representational content or subject matter that may or may not accurately characterize any actual subject. Pictorial representation is one species of visual representation. However, one of my main concerns in this paper will be to argue that there are no less than three additional varieties or species of visual representation, none of which are currently adequately recognized, and which together comprise a category of visual representation distinct from that of pictorial representation.
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ROLAND, P., i B. GULYAS. "Visual imagery and visual representation". Trends in Neurosciences 17, nr 7 (1994): 281–87. http://dx.doi.org/10.1016/0166-2236(94)90057-4.

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Susanti, Susanti, Zainal Abidin i Rina Mauliza. "ANALISIS KEMAMPUAN REPRESENTASI MATEMATIS SISWA MELALUI PENERAPAN STRATEGI SCAFFOLDING". Jurnal Ilmiah Pendidikan Matematika Al Qalasadi 5, nr 1 (9.07.2021): 99–116. http://dx.doi.org/10.32505/qalasadi.v5i1.2912.

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This descriptive qualitative research aims to describe the mathematical representation abilities of students through the application of the scaffolding strategy. The subjects of this study were 2 students with low representation abilities and 2 students with moderate representation abilities in class VIII-4 of SMP Negeri 6 Banda Aceh. The data was collected by means of a mathematical representation ability test sheet, interviews, and a recording device. Then data analysis by reducing data, presenting data, triangulating time, and drawing conclusions. The results showed that subjects with low representation skills tended to perform visual representations, but after scaffolding they were able to use visual representations independently and verbal representations by checking several times. Meanwhile, subjects with moderate representation ability tend to perform visual and verbal representations with multiple checks and symbolic representations with several interventions, after scaffolding they are able to use visual and verbal representations independently, even though symbolic representations still require several interventions. This shows that the students' representation ability gets better after being given a scaffolding strategy.
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Chen, Deng-Jyi, Wu-Chi Chen i Krishna M. Kavi. "Visual requirement representation". Journal of Systems and Software 61, nr 2 (marzec 2002): 129–43. http://dx.doi.org/10.1016/s0164-1212(01)00108-x.

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Suárez, Luis Alfonso de la Fuente. "TOWARDS EXPERIENTIAL REPRESENTATION IN ARCHITECTURE". Journal of Architecture and Urbanism 40, nr 1 (6.04.2016): 47–58. http://dx.doi.org/10.3846/20297955.2016.1163243.

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Planning and predicting the experiences that buildings will produce is an essential part of architectural design. The importance of representation lies in its ability to communicate experiences before a building is materialized. This article will treat the topic of representation of architecture works without putting aside our direct experience with edifices. By understanding the perceptual, associative and interactive phenomena that arise from the human encounter with buildings, it becomes possible to comprehend the representation of these phenomena through pictorial means. The first objective of this theoretical article is to define the inherent and unavoidable factors that are present in the creation and interpretation of all architectural representations, regardless of the technical means used. Any representation conveys two processes: the representation of experience (a creative process), and the experience of representation (an interpretive process). Furthermore, there exist two layers in any representation: the what (the architectural object) and the how (the representational medium). The second objective is to suggest alternatives to visual realism, in order to create representations that embody the particular phenomena that an architectural work will be able to produce. On the one hand, representations that pretend to copy reality produce in the observers detailed visual experiences; on the other hand, certain representations reflect the experiences themselves after they have been produced; they represent buildings as they are transformed by experience. This article focuses on those representations that are not only the reflection of an object, but also the reflection of our way of experiencing it.
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Amaliyah AR, Rezki, i Nurfadilah Mahmud. "Analisis Kemampuan Representasi Matematis dalam Pemecahan Masalah Geometri serta Faktor-Faktor yang Mempengaruhinya". Jurnal Review Pembelajaran Matematika 3, nr 2 (15.12.2018): 146–60. http://dx.doi.org/10.15642/jrpm.2018.3.2.146-160.

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This is qualitative research with a descriptive-explorative approach that aims to determine students' mathematical representation skills in solving Geometry problems. The population is all students in the mathematics education department who study Basic Geometry. The main subject was chosen by stratified technique and purposive sampling. The instruments are placement tests, diagnostic tests, and guided interviews. Data collection uses a triangulation method that aims to examine legitimate data. The results showed that 1) subjects with high skills always present visual representations and mathematical expressions, 2) subjects with intermediate skills present visual representations and mathematical expressions, and verbal but less representative representations, 3) subjects with low skills don’t present visual representations and mathematical expressions and verbal representations of problem-solving steps; and 4) there are several factors that influence the ability of mathematical representation to solve geometric problems, among others, subjects are less able to present problems in geometric patterns, because the subject does not understand the problem.
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Vrotsou, Katerina, Camilla Forsell i Matthew Cooper. "2D and 3D Representations for Feature Recognition in Time Geographical Diary Data". Information Visualization 9, nr 4 (3.12.2009): 263–76. http://dx.doi.org/10.1057/ivs.2009.30.

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Time geographical representations are becoming a common approach to analysing spatio-temporal data. Such representations appear intuitive in the process of identifying patterns and features as paths of populations form tracks through the 3D space, which can be seen converging and diverging over time. In this article, we compare 2D and 3D representations within a time geographical visual analysis tool for activity diary data. We identify a representative task and evaluate task performance between the two representations. The results show that the 3D representation has benefits over the 2D representation for feature identification but also indicate that these benefits can be lost if the 3D representation is not carefully constructed to help the user to see them.
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Bridgeman, Bruce. "Implicit and explicit representations of visual space". Behavioral and Brain Sciences 22, nr 5 (październik 1999): 759–60. http://dx.doi.org/10.1017/s0140525x99272184.

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The visual system captures a unique contrast between implicit and explicit representation where the same event (location of a visible object) is coded in both ways in parallel. A method of differentiating the two representations is described using an illusion that affects only the explicit representation. Consistent with predictions, implicit information is available only from targets presently visible, but, surprisingly, a two-alternative decision does not disturb the implicit representation.
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Saund, Eric. "Distributed Symbolic Representation of Visual Shape". Neural Computation 2, nr 2 (czerwiec 1990): 138–51. http://dx.doi.org/10.1162/neco.1990.2.2.138.

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The notion of distributed representation has gained significance in explanations of connectionist or “neural” networks. This communication shows that the concept also offers motivation in devising representations for visual shape within a symbolic computing paradigm. In a representation for binary (silhouette) shapes, and in analogy with conventional distributed connectionist networks, descriptive power is gained when microfeatures are available naming important spatial relationships in images. Our symbolic approach is introduced through a vocabulary of 31 “hand built” shape descriptors operating in the two-dimensional shape world of the dorsal fins of fishes.
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Syafitri, Aulia, Roseli Theis i Dewi Iriani. "ANALISIS KESULITAN KEMAMPUAN REPRESENTASI MATEMATIS SISWA EKSTROVERT DALAM MENYELESAIKAN SOAL MATEMATIKA PADA MATERI ALJABAR". Absis: Mathematics Education Journal 3, nr 1 (20.03.2021): 16. http://dx.doi.org/10.32585/absis.v3i1.1382.

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The objective of this study is to analyze the difficulty of representation ability Mathematical extrovert students in class VII-D in solving math problems on algebraic material, as well as knowing the factors that cause difficulties experienced by students in meet the indicators of mathematical representation ability. The ability of mathematical representations is measured based on Its aspects include visual representation aspects, expression representation aspects mathematics, and aspects of the representation of words or written text. This is qualitative research using a descriptive approach. This is carried out at SMP Negeri 22 Jambi with 4 students from class VII-D. The results showed that SE1, SE2, SE3 and SE4 are students with extrovert personalities do not have difficulty in the visual aspect. On aspects of representation of mathematical equations or expressions of Students SE1, SE3, and SE4 having difficulty making mathematical models or equations. On that aspect word or written text students SE2, SE3, and SE4 have difficulty when determine what steps will be taken to solve the problem mathematical. Factors causing difficulties in the mathematical representation ability are on visual aspects, representational aspects of mathematical expressions, and aspects of word representation or written text is a non-cognitive learning factor
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Ivascu, Laura. "The Perception of Representation in Visual Graphic Language". New Trends and Issues Proceedings on Humanities and Social Sciences 4, nr 11 (28.12.2017): 249–58. http://dx.doi.org/10.18844/prosoc.v4i11.2881.

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This paper addresses an interesting field of communication, namely visual graphic language. The principles of this special communication language (visual graphic language) are presented in a case study that highlights graphic visual perception of the subjects regarding some representations explained in this article. This research paper follows the understanding of the proposed representation by the case study subjects, which are illustrated through charts and percentages that explain how they perceived and translated these graphic representations. Future research will focus on the subject’s ability to represent themselves new graphic representations, starting with those proposed by the authors of this article. Keywords: Perception, visual graphic language, graphic comparative study, representation.
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Sari, Monika, Edy Yusmin i Ahmad Yani T. "KEMAMPUAN REPRESENTASI MATEMATIS SISWA PADA MATERI SEGITIGA". Jurnal AlphaEuclidEdu 2, nr 1 (13.07.2021): 122. http://dx.doi.org/10.26418/ja.v2i1.48070.

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AbstractThe mathematical representation ability referred to in this study is the ability to express mathematical ideas or ideas to solve a problem with various mathematical representations of visual forms (pictures) and verbal forms (writing).This type of research is descriptive with a qualitative approach which aims to describe systematically the ability of visual mathematical representations and the ability of verbal mathematical representations.The data collection technique in this study was carried out using essay. Test questions were given to student an grade VIII A at SMP Negeri 1 Mandor, where there were three groups, namely the upper, middle, and lower group. Students who will be interviewed are selected based on the representation ability test scores where only two students will represent for each group.The results showed that the ability of visual mathematical representation when given verbal form questions to answer indicators using pictures was in the percentage of students' average score 66.67% and the ability of verbal mathematical representation if given visual questions, for the answer indicator using words is in the percentage of the student's average score of 33.33%. Students still have difficulty with verbal representation if given a visual form. Keywords: visual representation, verbal representation and trangle material
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Maduratna, Melinia, i Ummi Nur Afinni Dwi Jayanti. "Visual Representation of Biology Books on Circulatory System Material". BIOEDUSCIENCE 6, nr 2 (31.08.2022): 124–36. http://dx.doi.org/10.22236/j.bes/629415.

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Background: Representation is a tool to improve students' communication, interpreting, and problem-solving skills. Visual representation (RV) can provide information about understanding the object/phenomenon observed about the concept under study. This study aimed to determine the relationship between visual representations and material content and the relationship between visual representations and the reality of images contained in the Circulation System material. Methods: This study used a content analysis method with a qualitative data analysis technique. Results: The analysis results show a relationship compared to the category of significant relationships on the circulation system's material and the relationship of symbolic visual representations. Conclusions: The analysis that has been carried out on the visual representation of SMA/MA biology books in the city of Stabat for the circulation system material, it can be concluded that the Visual Representation relationship contained in SMA/MA biology books was found to be more dominant for the category of no relationship compared to the category of a significant relationship in circulation system material presented. In addition, when analyzed concerning the reality of the image, the visual representation displays the relationship of symbolic visual representations in the analyzed biology textbooks. In addition to choosing a textbook, the teacher should pay attention not only to the content of the learning material but also to look at the components in the book, one of which is the picture in the textbook. This will later be useful to support students' understanding of the concepts being taught.
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Howton, Merilyn F., Joanne S. Lindoerfer i Richard G. Marriott. "Time Urgency and Imagery in the Type a Behavior Pattern". Perceptual and Motor Skills 86, nr 3_suppl (czerwiec 1998): 1323–34. http://dx.doi.org/10.2466/pms.1998.86.3c.1323.

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This study explored the relationship between Type A Behavior Pattern, visual imagery, and ability for time estimation. 115 subjects filled out a questionnaire which assessed them for the presence of a visual imaginary representation of time and scores on Type A or B behavior. While completing the questionnaire, subjects made estimates of four timed intervals of 8 min., 22 sec. The treatment consisted of formal training in visual imagery representations between time estimates of intervals 3 and 4. Data were analyzed using a 2 × 2 × 4 mixed analysis of variance in which the subject variables (Type A/B, visual imaginary representation, and time estimate) were dichotomized using median splits. The dependent measures were accuracy scores for each of the four estimation trials. Subjects with training in visual imaginary representation estimated time more accurately; Type A subjects with training in visual imaginary representation were the most accurate. All subjects improved over the four trials, with greatest improvement following training in visual imaginary representation. The most consistent improvement in time estimates occurred in Type A subjects. Results replicated and extended previous findings associating visual imaginary representations with more accurate time perception, especially for individuals scoring as showing Type A behavior pattern.
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Offenhuber, Dietmar. "Visual Anecdote". Leonardo 43, nr 4 (sierpień 2010): 367–74. http://dx.doi.org/10.1162/leon_a_00010.

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The discourse on information visualization often remains limited to the exploratory function — its potential for discovering patterns in the data. However, visual representations also have a rhetorical function: they demonstrate, persuade, and facilitate communication. In observing how visualization is used in presentations and discussions, I often notice the use of what could be called “visual anecdotes.” Small narratives are tied to individual data points in the visualization, giving human context to the data and rooting the abstract representation in personal experience. This paper argues that these narratives are more than just illustrations of the dataset; they constitute a central epistemological element of the visualization. By considering these narrative elements as parts of the visualization, its design and knowledge organization appear in a different light. This paper investigates how the “story” of data representation is delivered. By means of ethnographic interviews and observations, the author highlights the different aspects of the visual anecdote, a specific point where the exploratory and the rhetorical functions of visualization meet.
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Kim, Jiyoung. "Visual Representation of Chushingura". Comparative Japanese Studies 42 (30.06.2018): 165–84. http://dx.doi.org/10.31634/cjs.2018.42.165.

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Caulfield, Jon, Elizabeth Chaplin, Douglas Harper, Jim Hubbard, Chris Jenks i Deborah Willis. "Sociology and Visual Representation." Contemporary Sociology 25, nr 3 (maj 1996): 403. http://dx.doi.org/10.2307/2077498.

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Lin, Tingyi S. "Visual representation and communication". Information Design Journal 17, nr 3 (31.12.2009): 261–72. http://dx.doi.org/10.1075/idj.17.3.10lin.

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There is great potential for graphics to present quantities, processes, and spatial relations that make knowledge communication more effective through simple to complex visual languages. Visual representation conveys certain messages, directly or metaphorically. An effective visual representation communicates with users by offering core messages and other embedded qualities. These embedded qualities generate interest in the topics/issues, create desirable energy for seeking more knowledge in depth, and enable readers to explore their favorable influences. It is no longer enough to consider a visual representation to be merely attractive or pleasing; it also has to be designed in a way to effectively tell stories in order to better play its role as an information carrier and to meet users’ needs for multiple modes of usage. This study examines the ways in which visual explanation both tells stories and presents their underlying meanings. Visual information design not only presents concepts and events across time but also disseminates information widely through various media. This case study investigates various visual depictions of fertility rates and observes the causes and effects of viewers’ decision making. The total fertility rates in Taiwan dropped dramatically from 1951 to 2006, according to the Department of Household Registration Affairs, Ministry of Interior (MOI), Taiwan. This drop not only will render the aging population greater than other age groups in the near future, but also greatly changes social, economic, and environmental progress in this region. This study’s small effort in the information design field will help create a link between practitioners’ intelligence and researchers’ suggestions, thereby helping enhance the effectiveness of visual communication.
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Bolinska, Agnes. "Successful visual epistemic representation". Studies in History and Philosophy of Science Part A 56 (kwiecień 2016): 153–60. http://dx.doi.org/10.1016/j.shpsa.2015.09.005.

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Steward, J. "Sociology and Visual Representation". Oxford Art Journal 21, nr 2 (1.01.1998): 180–85. http://dx.doi.org/10.1093/oxartj/21.2.180.

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Ritchi, Hamzah, Mieke Jans, Jan Mendling i Hajo A. Reijers. "The Influence of Business Process Representation on Performance of Different Task Types". Journal of Information Systems 34, nr 1 (11.02.2019): 167–94. http://dx.doi.org/10.2308/isys-52385.

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ABSTRACT The analysis of business processes is an integral part of audit methodology. In both auditing research and process modeling research, there is an ongoing debate on which representation format might be best suited to support analysis tasks. Most important in this context is the question of whether process models as visual representation might be superior to textual narratives. This paper investigates the affinity of different tasks with two process representational formats: textual narratives and visual diagrams (BPMN models). Our findings demonstrate that the representation format has an impact on task performance and that the direction of this impact depends upon the affinity of the tasks type with the representation format. This implies that auditors are best provided with different process representations, depending on the task they are performing. These findings have important implications for research on auditing tasks, and more broadly also for software engineering and information systems research.
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Proboretno, Setyaning, i Pradnyo Wijayanti. "Representasi Matematis Siswa SMP dalam Meyelesaikan Masalah Segiempat Ditinjau dari Perbedaan Jenis Kelamin". MATHEdunesa 8, nr 3 (12.08.2019): 472–76. http://dx.doi.org/10.26740/mathedunesa.v8n3.p472-476.

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Mathematical representation has an important role to help students understand and solve quadrilateral problems in mathematics learning. Students will use different forms of mathematical representation to solve a quadrilateral problem. This allows that the form of mathematical representation used by male and female students is different. The purpose of this study was to describe the mathematical representation of male and female junior high school students in solving quadrilateral problems. This research is classified into descriptive qualitative research using test and interview methods. The results of this study indicate that male students use visual-spatial representations in the form of images to represent an object that is in the problem solving test. In addition, they use visual-spatial representations and formal-notational representations to reveal information about a problem. During the problem solving process, dominant male students use formal-notational representation. They also explained verbally each step of the completion in detail and in order. Dominant female students use formal-notational representation to write information and solve a problem. To represent an object in a problem solving test, they use visual-spatial representations. Female students also use verbal representations to explain each step of solving problems.Keywords: mathematical representation, quadrilateral problems, gender
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Yang, Chuanguang, Zhulin An, Linhang Cai i Yongjun Xu. "Mutual Contrastive Learning for Visual Representation Learning". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 3 (28.06.2022): 3045–53. http://dx.doi.org/10.1609/aaai.v36i3.20211.

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We present a collaborative learning method called Mutual Contrastive Learning (MCL) for general visual representation learning. The core idea of MCL is to perform mutual interaction and transfer of contrastive distributions among a cohort of networks. A crucial component of MCL is Interactive Contrastive Learning (ICL). Compared with vanilla contrastive learning, ICL can aggregate cross-network embedding information and maximize the lower bound to the mutual information between two networks. This enables each network to learn extra contrastive knowledge from others, leading to better feature representations for visual recognition tasks. We emphasize that the resulting MCL is conceptually simple yet empirically powerful. It is a generic framework that can be applied to both supervised and self-supervised representation learning. Experimental results on image classification and transfer learning to object detection show that MCL can lead to consistent performance gains, demonstrating that MCL can guide the network to generate better feature representations. Code is available at https://github.com/winycg/MCL.
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Tatler, Benjamin W., Iain D. Gilchrist i Jenny Rusted. "The Time Course of Abstract Visual Representation". Perception 32, nr 5 (maj 2003): 579–92. http://dx.doi.org/10.1068/p3396.

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Studies in change blindness re-enforce the suggestion that veridical, pictorial representations that survive multiple relocations of gaze are unlikely to be generated in the visual system. However, more abstract information may well be extracted and represented by the visual system. In this paper we study the types of information that are retained and the time courses over which these representations are constructed when participants view complex natural scenes. We find that such information is retained and that the resultant abstract representations encode a range of information. Different types of information are extracted and represented over different time courses. After several seconds of viewing natural scenes, our visual system is able to construct a complex information-rich representation.
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Bobadilla, Jesús, Jorge Dueñas, Abraham Gutiérrez i Fernando Ortega. "Deep Variational Embedding Representation on Neural Collaborative Filtering Recommender Systems". Applied Sciences 12, nr 9 (20.04.2022): 4168. http://dx.doi.org/10.3390/app12094168.

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Visual representation of user and item relations is an important issue in recommender systems. This is a big data task that helps to understand the underlying structure of the information, and it can be used by company managers and technical staff. Current collaborative filtering machine learning models are designed to improve prediction accuracy, not to provide suitable visual representations of data. This paper proposes a deep learning model specifically designed to display the existing relations among users, items, and both users and items. Making use of representative datasets, we show that by setting small embedding sizes of users and items, the recommender system accuracy remains nearly unchanged; it opens the door to the use of bidimensional and three-dimensional representations of users and items. The proposed neural model incorporates variational embedding stages to “unpack” (extend) embedding representations, which facilitates identifying individual samples. It also replaces the join layers in current models with a Lambda Euclidean layer that better catches the space representation of samples. The results show numerical and visual improvements when the proposed model is used compared to the baselines. The proposed model can be used to explain recommendations and to represent demographic features (gender, age, etc.) of samples.
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Martynova, Daria O. "VISUAL REPRESENTATIONS OF PSYCHOPATHOLOGIES: EXAMPLES AND PROBLEMS OF STUDY". Articult, nr 2 (2021): 49–56. http://dx.doi.org/10.28995/2227-6165-2021-2-49-56.

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The article is devoted to a retrospective analysis of the causes of the appearance of representations of mental diseases in the visual field and the problems of visualization of pathologies on the example of cases and artworks of the XVIIIth and XIXth centuries. The problems and points of interaction between art and psychiatry are touched upon, the reasons for the appearance of psychiatric illustration, the commonwealth of psychiatry and photography, and the genre of medical portraits are analyzed. As a result, it can be concluded that psychiatric photography, medical portraits and psychiatric illustrations inherited previously existing aesthetic and representative traditions, as well as cultural and historical ideas about mental diseases, which in turn gave rise to symptoms. Such a visual “dead end” has created a problem of representation, which also exists in contemporary art. Thus, the “objective” representation of psychopathologies in art is still problematic and requires analysis and search for solutions.
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Tanner, Nancy S., i Donald L. Fisher. "A Visual Search Model for Selection of Graphic Symbols". Proceedings of the Human Factors Society Annual Meeting 32, nr 19 (październik 1988): 1320–23. http://dx.doi.org/10.1177/154193128803201902.

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Ideally one would like to select symbols for visual displays which can quickly be identified. This paper presents a model which can help select the representation of an object which will speed search the most (i.e., the optimal representation) when there are several equally meaningful representations available.
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31

Conversy, Stéphane, Stéphane Chatty i Christophe Hurter. "Visual scanning as a reference framework for interactive representation design". Information Visualization 10, nr 3 (lipiec 2011): 196–211. http://dx.doi.org/10.1177/1473871611415988.

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When designing a representation, the designer implicitly formulates a sequence of visual tasks required to understand and use the representation effectively. This paper aims at making the sequence of visual tasks explicit in order to help designers elicit their design choices. In particular, we present a set of concepts to systematically analyse what a user must theoretically do to decipher representations. The analysis consists of a decomposition of the activity of scanning into elementary visualization operations. We show how the analysis applies to various existing representations, and how expected benefits can be expressed in terms of elementary operations. The set of elementary operations form the basis of a shared language for representation designers. The decomposition highlights the challenges encountered by a user when deciphering a representation and helps designers to exhibit possible flaws in their design, justify their choices, and compare designs. We also show that interaction with a representation can be considered as facilitation to perform the elementary operations. Categories and subject descriptors H.5.2 User Interfaces – evaluation/methodology, screen design. General terms design, human factors
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32

Ramanisa, Hartiwi, Khairudin Khairudin i Syukma Netti. "ANALISIS KEMAMPUAN REPRESENTASI MATEMATIS SISWA". Jurnal Magister Pendidikan Matematika (JUMADIKA) 2, nr 1 (20.08.2020): 34–38. http://dx.doi.org/10.30598/jumadikavol2iss1year2020page34-38.

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The ability Mathematical representation is very important for students to have, because it can facilitate students in solving mathematical problems. This study aims to describe the ability of mathematical representation of class VII students of SMP Negeri 14 Padang. The results showed that 82.7% of students used visual representations, 38% of students used representations of Equation or mathematical expressions and 23.3% of students used representations of words or written texts. The highest indicator of visual representation is to draw geometric figures to clarify the problem and facilitate its solution, while the lowest indicator of the representation of words or written text is to write the steps to solve mathematical problems with words
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33

Riza, Resty Septia, i Hamzah Hamzah. "Visual Representational Analysis of Meaning in Pond's Men and Garnier Men TV Commercials". English Language and Literature 10, nr 2 (10.11.2021): 330. http://dx.doi.org/10.24036/ell.v10i3.113894.

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AbstractThis research aims to examine the difference of meaning in visual analysis in Pond's Men and Garnier Men advertisements. The purpose of this research is to find the difference in meaning in the visual analysis of Kress and Leeuwen metafunction which included representational, interactional, and compositional. The data were analyzed using the theory of The grammar of visual design Kress and Leeuwen (1996). The data is the visual contained in the Pond's Men and Garnier Men advertisement videos. The method of this research uses descriptive qualitative research. The results showed that there were some differences in Pond's Men and Garnier Men advertisements in visuals which are narrative actional transactional and narrative reactional transactional in representation, social, detachment, viewer power, and representation in interactional, and foregrounding and backgrounding in compositional.
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34

Hapizah, Hapizah, Ely Susanti i Puji Astuti. "TEACHER’S ABILITIES OF TRANSLATION OF SYMBOLIC REPRESENTATION TO VISUAL REPRESENTATION AND VICE VERSA: ADDITION OF INTEGERS". International Journal of Pedagogy and Teacher Education 3, nr 1 (3.05.2019): 41. http://dx.doi.org/10.20961/ijpte.v3i1.19268.

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<p><em>Translation of representations is a process of changing </em><em>representations </em><em>from one into</em><em> </em><em>another</em><em> one</em><em>. In generally, mathematics representations consists of symbolical, </em><em>visual (</em><em>graphical</em><em>)</em><em>,</em><em> </em><em>verbal, and tabular representations. This article discusses results of research about teacher’s understanding of mathematics representations and its implementation, which is teacher’s ability of translating from symbolical representation to graphical representation and vice v</em><em>e</em><em>rsa. The sample of research were 91 mathematics teacher from some districts of South Sumatera and Bangka Belitung provinces. The data of research were collected by test related to addition of integers. The results show that teacher’s ability of translating from symbolical representation into graphical representation is very low which is only 48,4% of the sample could translate the representations correctly, meanwhile teacher’s ability of translating from graphical representation into symbolical representation</em><em> </em><em>is quite good which is 75,8% of the sample could translate the representations correctly.</em><em> The mistakes identified when the mathematics teachers translated symbolic representation to visual representation are the result of addition not presented in numbers line, no the result of addition presented at all, the order of numbers line not presented clearly, misdirection or no direction of numbers line, and no answers at all. Meanwhile the mistakes identified when the mathematics teachers translated visual representation to symbolic representation are no the result of addition presented, incorrectly order of numbers added, and no answers at all</em>.</p>
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35

Nayeb, Aslan, i İzzettin Kutlu. "Increasing visual perception in architecture education: An architectural representation study". Visual Inquiry 10, nr 3 (1.12.2021): 329–43. http://dx.doi.org/10.1386/vi_00058_1.

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Representation is a tool that facilitates the transfer of an idea. Architectural representations not only help differentiate the thoughts that the designer has in his mind, but also create a space where he can simplify what he has in mind when uploading it. This article makes a study on developing visual perception ability by including architecture students in the education process. Representation has become a necessary tool, especially in conveying thoughts. In this study, representation was analysed by architecture students through the five structures designed by Louis Kahn, one of the famous architects of the twentieth century. Students were asked to discover the remarkable features of buildings and produced 15 × 15 cm2 architectural representations. As a result, the student’s perception of these buildings increased significantly and provided lesson hours to be more productive while creating architectural representations.
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36

Liu, Jing, Hui Zhang, Tao Yu, Duanyu Ni, Liankun Ren, Qinhao Yang, Baoqing Lu i in. "Stable maintenance of multiple representational formats in human visual short-term memory". Proceedings of the National Academy of Sciences 117, nr 51 (7.12.2020): 32329–39. http://dx.doi.org/10.1073/pnas.2006752117.

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Visual short-term memory (VSTM) enables humans to form a stable and coherent representation of the external world. However, the nature and temporal dynamics of the neural representations in VSTM that support this stability are barely understood. Here we combined human intracranial electroencephalography (iEEG) recordings with analyses using deep neural networks and semantic models to probe the representational format and temporal dynamics of information in VSTM. We found clear evidence that VSTM maintenance occurred in two distinct representational formats which originated from different encoding periods. The first format derived from an early encoding period (250 to 770 ms) corresponded to higher-order visual representations. The second format originated from a late encoding period (1,000 to 1,980 ms) and contained abstract semantic representations. These representational formats were overall stable during maintenance, with no consistent transformation across time. Nevertheless, maintenance of both representational formats showed substantial arrhythmic fluctuations, i.e., waxing and waning in irregular intervals. The increases of the maintained representational formats were specific to the phases of hippocampal low-frequency activity. Our results demonstrate that human VSTM simultaneously maintains representations at different levels of processing, from higher-order visual information to abstract semantic representations, which are stably maintained via coupling to hippocampal low-frequency activity.
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37

Monk, Andrew F. "Theoretical Note: Coordinate Systems in Visual Word Recognition". Quarterly Journal of Experimental Psychology Section A 37, nr 4 (listopad 1985): 613–25. http://dx.doi.org/10.1080/14640748508400922.

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Marr and Nishihara (1978) have made certain recommendations about how representations postulated in a theory of visual information processing should be specified. Using this scheme the paper discusses representations which might be postulated in a model of visual word recognition. A representation is specified in terms of a set of primitives (e.g., word identities or visual features) in combination with a coordinate system. The coordinate systems considered are retinal, spatial (e.g., position on page) word-centred (position in word) and sentence-centred (position in sentence). Various combinations of primitives and coordinate systems are considered along with how to decide which combinations are actually generated in the process of fluent reading. A tentative model is put forward in which a single processing stage, which starts anew after each saccade, generates a representation with word identities as its primitives and sentence-centred coordinates. Evidence to support such a model which has no intermediate representation with spatial coordinates is briefly reviewed.
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38

Vihlman, Mikko, i Arto Visala. "Optical Flow in Deep Visual Tracking". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 07 (3.04.2020): 12112–19. http://dx.doi.org/10.1609/aaai.v34i07.6890.

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Single-target tracking of generic objects is a difficult task since a trained tracker is given information present only in the first frame of a video. In recent years, increasingly many trackers have been based on deep neural networks that learn generic features relevant for tracking. This paper argues that deep architectures are often fit to learn implicit representations of optical flow. Optical flow is intuitively useful for tracking, but most deep trackers must learn it implicitly. This paper is among the first to study the role of optical flow in deep visual tracking. The architecture of a typical tracker is modified to reveal the presence of implicit representations of optical flow and to assess the effect of using the flow information more explicitly. The results show that the considered network learns implicitly an effective representation of optical flow. The implicit representation can be replaced by an explicit flow input without a notable effect on performance. Using the implicit and explicit representations at the same time does not improve tracking accuracy. The explicit flow input could allow constructing lighter networks for tracking.
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39

Kuang, Shi Rong. "Knowledge Representation of Art Patterns Based on the Calculation Mental Image". Advanced Materials Research 989-994 (lipiec 2014): 1493–96. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.1493.

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Computational imaginary is a simulation of the human mental image based on the study of cognitive science. Art pattern composition knowledge representation is the basis of the intelligence of computer-aided art pattern design. The paper describes an art pattern composition knowledge representation scheme based on the model of computational imaginary. The scheme includes the deep representation, visual representation and spatial representation, and the operations of these three representations. It further describes the abstract and image information from the perspective of the relation between art pattern layout visual and spatial shape.
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40

Fortes, Fabrício Pires. "A Distinção Gráfico-Linguístico e a Notação Musical". Philosophy of Music 74, nr 4 (30.12.2018): 1465–92. http://dx.doi.org/10.17990/rpf/2018_74_4_1465.

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This paper examines the traditional musical notation from the viewpoint of the general problem concerning the types of visual representations. More specifically, we analyze this system in relation to the distinction between graphical and linguistic representations. We start by comparing this notation with the representational systems which are most commonly associated with such categories: on the one hand, pictorial representations as an example of a graphical representation; on the other hand, verbal writing usually associated with a linguistic representation. Then, we examine the traditional musical notation in relation to different ways of drawing the distinction graphic–linguistic, and we evaluate the applicability of such criteria to the former system. Finally, we present some general remarks about the legitimacy of this distinction both with respect to representational systems in general and to the specific case of the traditional musical notation.
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41

Shin, Eunsam, Monica Fabiani i Gabriele Gratton. "Multiple Levels of Stimulus Representation in Visual Working Memory". Journal of Cognitive Neuroscience 18, nr 5 (1.05.2006): 844–58. http://dx.doi.org/10.1162/jocn.2006.18.5.844.

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Object recognition presumably involves activation of multiple levels of representation. Here we use the encoding-related lateralization (ERL) method [Gratton, G. The contralateral organization of visual memory: A theoretical concept and a research tool. Psychophysiology, 35, 638–647, 1998] to describe the sequential activation of several of these levels. The ERL uses divided-field encoding to generate contralaterally biased representations in the brain. The presence and nature of these representations can be demonstrated by examining the event-related potentials (ERPs) elicited by centrally presented test probes for lateralized activity corresponding to the encoding side. We recorded ERPs during a memory-search task. Memory sets were composed of two or four uppercase letters displayed half to the left and half to the right of fixation. Probe stimuli were composed of one letter presented foveally in either upper- or lowercase. Letter case was manipulated to differentiate the time course of physical and symbolic levels of letter representation. Memory set size was manipulated to examine a relational level of letter representation. We found multiple ERLs in response to the probes: (1) An early (peak = 170 msec) case-dependent (but set size independent) ERL, most evident at P7/P8, indexing the availability of a physical level of letter representation; (2) a later (200–400 msec) more diffusedly distributed ERL, independent of both letter case and set size, indexing a symbolic level of letter representation; (3) a long-latency (400–600 msec) ERL occurring at posterior sites, larger for the case match, Set Size 2 condition, indexing competition for neural representation across multiple letters. By assuming that these ERL activities track the progression of letter representation over time, we propose a model of letter processing in the context of visual working memory.
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42

Kesorn, Kraisak, Sutasinee Chimlek, Stefan Poslad i Punpiti Piamsa-nga. "Visual content representation using semantically similar visual words". Expert Systems with Applications 38, nr 9 (wrzesień 2011): 11472–81. http://dx.doi.org/10.1016/j.eswa.2011.03.021.

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43

Cliff, Dave, i Noble Jason. "Knowledge-based vision and simple visual machines". Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 352, nr 1358 (29.08.1997): 1165–75. http://dx.doi.org/10.1098/rstb.1997.0100.

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The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the ‘knowledge’ in knowledge–based vision or form the ‘modelsrsquo; in model–based vision. In this paper, we discuss simple machine vision systems developed by artificial evolution rather than traditional engineering design techniques, and note that the task of identifying internal representations within such systems is made difficult by the lack of an operational definition of representation at the causal mechanistic level. Consequently, we question the nature and indeed the existence of representations posited to be used within natural vision systems (i.e. animals). We conclude that representations argued for on a priori grounds by external observers of a particular vision system may well be illusory, and are at best place–holders for yet–to–be–identified causal mechanistic interactions. That is, applying the knowledge–based vision approach in the understanding of evolved systems (machines or animals) may well lead to theories and models that are internally consistent, computationally plausible, and entirely wrong.
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44

Huynh Cong, Stanislas, i Dirk Kerzel. "Allocation of resources in working memory: Theoretical and empirical implications for visual search". Psychonomic Bulletin & Review 28, nr 4 (17.03.2021): 1093–111. http://dx.doi.org/10.3758/s13423-021-01881-5.

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AbstractRecently, working memory (WM) has been conceptualized as a limited resource, distributed flexibly and strategically between an unlimited number of representations. In addition to improving the precision of representations in WM, the allocation of resources may also shape how these representations act as attentional templates to guide visual search. Here, we reviewed recent evidence in favor of this assumption and proposed three main principles that govern the relationship between WM resources and template-guided visual search. First, the allocation of resources to an attentional template has an effect on visual search, as it may improve the guidance of visual attention, facilitate target recognition, and/or protect the attentional template against interference. Second, the allocation of the largest amount of resources to a representation in WM is not sufficient to give this representation the status of attentional template and thus, the ability to guide visual search. Third, the representation obtaining the status of attentional template, whether at encoding or during maintenance, receives an amount of WM resources proportional to its relevance for visual search. Thus defined, the resource hypothesis of visual search constitutes a parsimonious and powerful framework, which provides new perspectives on previous debates and complements existing models of template-guided visual search.
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45

Zha, B., i A. Yilmaz. "LEARNING MAPS FOR OBJECT LOCALIZATION USING VISUAL-INERTIAL ODOMETRY". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2020 (3.08.2020): 343–50. http://dx.doi.org/10.5194/isprs-annals-v-1-2020-343-2020.

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Abstract. Objects follow designated path on maps, such as vehicles travelling on a road. This observation signifies topological representation of objects’ motion on the map. Considering the position of object is unknown initially, as it traverses the map by moving and turning, the spatial uncertainty of its whereabouts reduces to a single location as the motion trajectory would fit only to a certain map trajectory. Inspired by this observation, we propose a novel end-to-end localization approach based on topological maps that exploits the object motion and learning the map using an recurrent neural network (RNN) model. The core of the proposed method is to learn potential motion patterns from the map and perform trajectory classification in the map’s edge-space. Two different trajectory representations, namely angle representation and augmented angle representation (incorporates distance traversed) are considered and an RNN is trained from the map for each representation to compare their performances. The localization accuracy in the tested map for the angle and augmented angle representations are 90.43% and 96.22% respectively. The results from the actual visual-inertial odometry have shown that the proposed approach is able to learn the map and localize objects based on their motion.
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46

van Zoest, Wieske, Amelia R. Hunt i Alan Kingstone. "Representations in Visual Cognition". Current Directions in Psychological Science 19, nr 2 (kwiecień 2010): 116–20. http://dx.doi.org/10.1177/0963721410363895.

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Visual cognition relies on changing representations of visual information. The dynamic nature of representations is demonstrated by new findings in human perception and attention showing that the influence of specific aspects of a stimulus on behavior changes dramatically over time. As a consequence, performance depends on what point in time responses are measured. Specifically, quick responses to early representations of a new scene are heavily influenced by the relative salience of different stimuli in the visual field. Slow responses based on later representations of the same scene are informed by more complex information that integrates prior knowledge and observer goals. Thus, as a result of the dynamic nature of representations, the kind of information that is prioritized depends on the moment in time the representation is accessed. Examining how representations change over time can lead to new and important insights in a wide range of domains of human cognition.
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47

Yantis, Steven. "Perceived Continuity of Occluded Visual Objects". Psychological Science 6, nr 3 (maj 1995): 182–86. http://dx.doi.org/10.1111/j.1467-9280.1995.tb00329.x.

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The human visual system does not rigidly preserve the properties of the retinal image as neural signals are transmitted to higher areas of the brain Instead, it generates a representation that captures stable surface properties despite a retinal image that is often fragmented in space and time because of occlusion caused by object and observer motion The recovery of this coherent representation depends at least in part on input from an abstract representation of three-dimensional (3-D) surface layout In the two experiments reported, a stereoscopic apparent motion display was used to investigate the perceived continuity of a briefly interrupted visual object When a surface appeared in front of the object's location during the interruption, the object was more likely to be perceived as persisting through the interruption (behind an occluder) than when the surface appeared behind the object's location under otherwise identical stimulus conditions The results reveal the influence of 3-D surface-based representations even in very simple visual tasks
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48

Taqwa, Muhammad Reyza Arief, i Handy Faishal Rahim. "Students’ conceptual understanding on vector topic in visual and mathematical representation: a comparative study". Journal of Physics: Conference Series 2309, nr 1 (1.07.2022): 012060. http://dx.doi.org/10.1088/1742-6596/2309/1/012060.

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Abstract This study aims to compare students’ abilities in understanding vector topics in two representations, namely visual and mathematical. This is a comparative research. Data were collected by survey. The research was conducted on 191 first-year undergraduate students of physics and physics education. The research instrument consisted of 14 multiple choice questions (7 questions of mathematical representation and 7 questions of verbal representation). Data analysis was performed by determining descriptive statistics and paired sample t-test. The results showed that the students’ ability to understand vector concepts with mathematical representations was better than those in verbal representations. Students’ mean score in verbal and mathematical representation formats are 33.91 and 59.17. Based on the results of the paired sample t-test obtained t = −12.96 and sig. = 0.00. These results indicate that the students’ ability to understand vector concepts in verbal and mathematical representation formats is significantly different. This study’s results came that students’ understanding of vector concepts still depends on the representation of the questions because their understanding is not coherent. Based on these findings, vector learning should be focused on the meaning of vectors in various representations, and connecting the meanings of vector operations in various representations, not only on mathematics.
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49

Vecera, Shaun P. "Visual object representation: An introduction". Psychobiology 26, nr 4 (grudzień 1998): 281–308. http://dx.doi.org/10.3758/bf03330617.

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50

Miller, Simon. "MUSIC, MEANING AND VISUAL REPRESENTATION". Art History 13, nr 3 (wrzesień 1990): 414–19. http://dx.doi.org/10.1111/j.1467-8365.1990.tb00406.x.

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