Academic literature on the topic 'Visual mathematics'
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Journal articles on the topic "Visual mathematics"
Bixler, Harry, and Michele Emmer. "Visual Mathematics." College Mathematics Journal 26, no. 4 (September 1995): 341. http://dx.doi.org/10.2307/2687041.
Full textRadovic, Ljiljana, and Slavik Jablan. "Visual communication through visual mathematics." Filomat 23, no. 2 (2009): 56–67. http://dx.doi.org/10.2298/fil0902056r.
Full textDo’stov, Sunnatullo, Axtamqul A’zamqulov, and Anvar Yusupov. "Visual approach to higher mathematics." Общество и инновации 3, no. 2 (April 12, 2022): 211–16. http://dx.doi.org/10.47689/2181-1415-vol3-iss2-pp211-216.
Full textSholeha, Viona Aida, Risnawati Risnawati, and Habibullah Habibullah. "An Analysis of Student Difficulties in Mathematics Learning in terms of Student Mathematical Connection Ability on Pythagoras Theorem." Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram 9, no. 1 (April 14, 2021): 12. http://dx.doi.org/10.33394/j-ps.v9i1.3510.
Full textEmmer, Michele. "Art and Visual Mathematics." Leonardo 27, no. 3 (1994): 237. http://dx.doi.org/10.2307/1576060.
Full textBrosnan, Patricia A. "Visual Mathematics: Using Geoboards." TEACHING Exceptional Children 29, no. 3 (January 1997): 18–22. http://dx.doi.org/10.1177/004005999702900303.
Full textSourin, Alexei, and Lei Wei. "Visual immersive haptic mathematics." Virtual Reality 13, no. 4 (September 2, 2009): 221–34. http://dx.doi.org/10.1007/s10055-009-0133-2.
Full textMihajlov-Carević, Miroslava, Milena Petrović, and Nebojša Denić. "Modern technologies and visual-logical approach in mathematics teaching." Ekonomski izazovi 9, no. 17 (2020): 80–88. http://dx.doi.org/10.5937/ekoizazov2017080m.
Full textBremigan, Elizabeth George. "Activites for Students: Dynamic Diagrams." Mathematics Teacher 94, no. 7 (October 2001): 566–74. http://dx.doi.org/10.5951/mt.94.7.0566.
Full textEstri, Fadhila Kurnia, and Ibrahim Ibrahim. "Mathematical logical intelligences as a predictor of mathematics learning outcomes." Math Didactic: Jurnal Pendidikan Matematika 7, no. 1 (May 15, 2021): 86–100. http://dx.doi.org/10.33654/math.v7i1.1146.
Full textDissertations / Theses on the topic "Visual mathematics"
Ekin, Özge [Verfasser]. "New Approaches to Visual Reasoning in Mathematics and Kantian Characterization of Mathematics / Özge Ekin." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1097263525/34.
Full textROHDE, TREENA EILEEN M. A. "AN EXAMINATION OF HOW VISUAL PERCEPTION ABILITIES INFLUENCE MATHEMATICS ACHIEVEMENT." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1196193538.
Full textBlok, Marius Jacobus Johannes. "The educational validity of visual geometry." Thesis, University of Hull, 1997. http://hydra.hull.ac.uk/resources/hull:3487.
Full textHussain, Sibt Ul. "Machine Learning Methods for Visual Object Detection." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00680048.
Full textKundema, Imani Bakari. "Teaching for visual literacy by mathematics teachers in Tanzanian secondary schools." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/60951.
Full textDissertation (MEd)--University of Pretoria, 2016.
Science, Mathematics and Technology Education
MEd
Unrestricted
Johnson, Jennifer E. "Investigating visual attention while solving college algebra problems." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/19704.
Full textMathematics
Andrew G. Bennett
This study utilizes eye-tracking technology as a tool to measure college algebra students’ mathematical noticing as defined by Lobato and colleagues (2012). Research in many disciplines has used eye-tracking technology to investigate the differences in visual attention under the assumption that eye movements reflect a person’s moment-to-moment cognitive processes. Motivated by the work done by Madsen and colleagues (2012) who found visual differences between those who correctly and incorrectly solve introductory college physics problems, we used eye-tracking to observe the visual attention difference between correct and incorrect solvers of college algebra problems. More specifically, we consider students’ visual attention when presented tabular representations of linear functions. We found that in several of the problems analyzed, those who answered the problem correctly spend more time looking at relevant table values of the problem while those who answered the problem incorrectly spend more time looking at irrelevant table labels x, y, y = f(x) of the problem in comparison to the correct solvers. More significantly, we found a noteworthy group of students, who did not move beyond table labels, using these labels solely to solve the problem. Future analyses need to be done to expand on the differences between eye patterns rather than just focusing on dwell time in the relevant and irrelevant areas of a table.
Suggate, Jennifer. "The use of visual images in computer programs for primary school mathematics." Thesis, Open University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358076.
Full textFreeman, Jeremy. "Computation and representation in the primate visual system." Thesis, New York University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10143918.
Full textThe purpose of vision is to find behaviorally relevant structure in the ever-flowing chaos of sensory input. In the primate, this goal is achieved by a hierarchy of cortical areas that extract increasingly complex forms of information from the light arriving at the retina. Despite success characterizing the early stages of this pathway — the retina, the lateral geniculate nucleus, and primary visual cortex (V1) — we have a poor understanding of how transformations in later stages yield selectivity for the complex shapes and objects that primates readily recognize.
According to a classical, constructionist view, the later stages of the visual system assemble elementary inputs — like the oriented features encoded by V1 — into larger and more complex combinations, capturing the structural relationships that determine the visual world. But this approach has stumbled on the enigmatic second visual area, V2, whose neurons defy our intuitions about how to begin segmenting scenes and encoding the shapes of objects.
In this thesis we develop a framework for the study of intermediate visual processing in the primate, focused on computation and representation in area V2. Rather than try to predict the responses of visual neurons to arbitrary inputs, we test hypotheses about their function by generating targeted experimental stimuli. The stimuli we use reflect the messy statistical reality of natural images, rather than intuitions about object construction. We identify novel responses properties in macaque and human V2 that robustly differentiates it from V1. We propose mechanistic explanations for these properties by contextualizing them among existing models of hierarchical computation. And we link these properties to several perceptual capabilities -- and limits -- that appear to depend specifically on processing in V2, and imply striking consequences for everyday vision.
Edwards, Jesse R. "'Marveilous newtrality'/'strange participation' : mathematics and the colonial attitude in seventeenth-century England." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360605.
Full textHoffmann, McElory Roberto. "Stochastic visual tracking with active appearance models." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/1381.
Full textENGLISH ABSTRACT: In many applications, an accurate, robust and fast tracker is needed, for example in surveillance, gesture recognition, tracking lips for lip-reading and creating an augmented reality by embedding a tracked object in a virtual environment. In this dissertation we investigate the viability of a tracker that combines the accuracy of active appearancemodels with the robustness of the particle lter (a stochastic process)—we call this combination the PFAAM. In order to obtain a fast system, we suggest local optimisation as well as using active appearance models tted with non-linear approaches. Active appearance models use both contour (shape) and greyscale information to build a deformable template of an object. ey are typically accurate, but not necessarily robust, when tracking contours. A particle lter is a generalisation of the Kalman lter. In a tutorial style, we show how the particle lter is derived as a numerical approximation for the general state estimation problem. e algorithms are tested for accuracy, robustness and speed on a PC, in an embedded environment and by tracking in ìD. e algorithms run real-time on a PC and near real-time in our embedded environment. In both cases, good accuracy and robustness is achieved, even if the tracked object moves fast against a cluttered background, and for uncomplicated occlusions.
AFRIKAANSE OPSOMMING: ’nAkkurate, robuuste en vinnige visuele-opspoorderword in vele toepassings benodig. Voorbeelde van toepassings is bewaking, gebaarherkenning, die volg van lippe vir liplees en die skep van ’n vergrote realiteit deur ’n voorwerp wat gevolg word, in ’n virtuele omgewing in te bed. In hierdie proefskrif ondersoek ons die lewensvatbaarheid van ’n visuele-opspoorder deur die akkuraatheid van aktiewe voorkomsmodellemet die robuustheid van die partikel lter (’n stochastiese proses) te kombineer—ons noem hierdie kombinasie die PFAAM. Ten einde ’n vinnige visuele-opspoorder te verkry, stel ons lokale optimering, sowel as die gebruik van aktiewe voorkomsmodelle wat met nie-lineêre tegnieke gepas is, voor. Aktiewe voorkomsmodelle gebruik kontoer (vorm) inligting tesamemet grysskaalinligting om ’n vervormbaremeester van ’n voorwerp te bou. Wanneer aktiewe voorkomsmodelle kontoere volg, is dit normaalweg akkuraat,maar nie noodwendig robuust nie. ’n Partikel lter is ’n veralgemening van die Kalman lter. Ons wys in tutoriaalstyl hoe die partikel lter as ’n numeriese benadering tot die toestand-beramingsprobleem afgelei kan word. Die algoritmes word vir akkuraatheid, robuustheid en spoed op ’n persoonlike rekenaar, ’n ingebedde omgewing en deur volging in ìD, getoets. Die algoritmes loop intyds op ’n persoonlike rekenaar en is naby intyds op ons ingebedde omgewing. In beide gevalle, word goeie akkuraatheid en robuustheid verkry, selfs as die voorwerp wat gevolg word, vinnig, teen ’n besige agtergrond beweeg of eenvoudige okklusies ondergaan.
Books on the topic "Visual mathematics"
Concepts & images: Visual mathematics. Boston: Birkhäuser, 1993.
Find full textMartinovic, Dragana, Viktor Freiman, and Zekeriya Karadag, eds. Visual Mathematics and Cyberlearning. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-2321-4.
Full textAmazing visual math. New York, NY: DK Publishing, 2014.
Find full textVisual guide to math. New York, New York: Dorling Kindersley, 2018.
Find full textFomenko, Anatolij T. Visual Geometry and Topology. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994.
Find full textGiaquinto, M. Visual thinking in mathematics: An epistemological study. New York: Oxford University Press, 2007.
Find full textHansen, Pamela Dale. Math visual glossary. Vancouver, BC: VSB Curriculum Publications, 1997.
Find full textKalajdzievski, Sasho. Math and art: An introduction to visual mathematics. Boca Raton: CRC Press, 2008.
Find full textMichele, Emmer, ed. The visual mind II. Cambridge, Mass: MIT Press, 2005.
Find full textMathematical discourse: Language, symbolism and visual images. London: Continuum, 2005.
Find full textBook chapters on the topic "Visual mathematics"
Vince, John. "Visual Mathematics." In Foundation Mathematics for Computer Science, 1–4. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21437-5_1.
Full textVince, John. "Visual Mathematics." In Foundation Mathematics for Computer Science, 1–4. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42078-9_1.
Full textVince, John. "Visual Mathematics." In Foundation Mathematics for Computer Science, 1–5. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17411-7_1.
Full textBrown, Ronald. "Mathematics and Knots." In Visual Representations and Interpretations, 32–42. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0563-3_4.
Full textChen, Min, Klaus Mueller, and Anders Ynnerman. "Fusion of Visual Channels." In Mathematics and Visualization, 119–27. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6497-5_12.
Full textTall, David. "Visual Organisers for Formal Mathematics." In NATO ASI Series, 52–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57771-0_4.
Full textAlagic, Gorjan, and Mara Alagic. "Collaborative Mathematics Learning in Online Environments." In Visual Mathematics and Cyberlearning, 23–48. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2321-4_2.
Full textWeber, Gunther H., and Helwig Hauser. "Interactive Visual Exploration and Analysis." In Mathematics and Visualization, 161–73. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6497-5_15.
Full textTricoche, Xavier, Rob MacLeod, and Chris R. Johnson. "Visual Analysis of Bioelectric Fields." In Mathematics and Visualization, 205–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72630-2_12.
Full textNatarajan, Vijay, Patrice Koehl, Yusu Wang, and Bernd Hamann. "Visual Analysis of Biomolecular Surfaces." In Mathematics and Visualization, 237–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72630-2_14.
Full textConference papers on the topic "Visual mathematics"
Rif'at, Mohamad, Nilamsari Kusumastuti, and Nurfadilah Siregar. "Visual representation in solving mathematics problems." In PROCEEDINGS OF THE 6TH NATIONAL CONFERENCE ON MATHEMATICS AND MATHEMATICS EDUCATION. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0096126.
Full textLai, Danbo, and Alexei Sourin. "Visual immersive mathematics in 3D web." In the 10th International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2087756.2087856.
Full textBabura, Babangida Ibrahim, Mohd Bakri Adam, Anwar Fitrianto, and Aminu Tukur Mohammad. "Stairboxplot and visual analysis of univariate dataset." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2018 (MATHTECH2018): Innovative Technologies for Mathematics & Mathematics for Technological Innovation. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5136429.
Full textUtami, Arinka Putri, Mardiyana, and Ikrar Pramudya. "Visual Students: How Their Representation in Problem Solving?" In International Conference of Mathematics and Mathematics Education (I-CMME 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.211122.005.
Full textIsmaiel, Yaseen H. "Visual cryptography for message confidentiality." In SECOND INTERNATIONAL CONFERENCE OF MATHEMATICS (SICME2019). Author(s), 2019. http://dx.doi.org/10.1063/1.5097808.
Full textSorge, Volker. "Supporting Visual Impaired Learners in Editing Mathematics." In ASSETS '16: The 18th International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2982142.2982212.
Full textOktalidiasari, Dwi, Darmawijoyo, and Somakim. "Learning Mathematical Modelling: How to Design Visual Formed Students’ Worksheets Problem." In 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210508.064.
Full textShirota, Yukari, and Basabi Chakraborty. "Visual Explanation of Mathematics in Latent Semantic Analysis." In 2015 IIAI 4th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2015. http://dx.doi.org/10.1109/iiai-aai.2015.174.
Full textKmetova, Maria. "CONSTRUCTIVIST TEACHING OF MATHEMATICS USING A VISUAL APPROACH." In 14th annual International Conference of Education, Research and Innovation. IATED, 2021. http://dx.doi.org/10.21125/iceri.2021.0619.
Full textRolan, Eka Nanda Azer, Darmawijoyo, and Indaryanti. "Learning Mathematical Modelling: Junior School Student’s Argumentative Ability Through a Visual-Formed Problem." In 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210508.062.
Full textReports on the topic "Visual mathematics"
Poggio, Tomaso, and Stephen Smale. Hierarchical Kernel Machines: The Mathematics of Learning Inspired by Visual Cortex. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada580529.
Full textModlo, Yevhenii O., Serhiy O. Semerikov, Ruslan P. Shajda, Stanislav T. Tolmachev, and Oksana M. Markova. Methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3878.
Full textIvanova, Halyna I., Olena O. Lavrentieva, Larysa F. Eivas, Iuliia O. Zenkovych, and Aleksandr D. Uchitel. The students' brainwork intensification via the computer visualization of study materials. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3859.
Full textJacobsen, Nils. Linjebussens vekst og fall i den voksende byen: en studie av bybussenes geografiske kvalitet Stavanger – Sandnes 1920 – 2010. University of Stavanger, November 2019. http://dx.doi.org/10.31265/usps.244.
Full textEnsuring Equity and Excellence for English Learners: An Annotated Bibliography for Research, Policy, and Practice. Center for Equity for English Learners, 2022. http://dx.doi.org/10.15365/ceel.publication.2022.0001.
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