Academic literature on the topic 'Visual problem solving'

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Journal articles on the topic "Visual problem solving"

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Beveridge, M., and E. Parkins. "Visual representation in analogical problem solving." Memory & Cognition 15, no. 3 (1987): 230–37. http://dx.doi.org/10.3758/bf03197721.

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Campbell, K. Jennifer, Kevin F. Collis, and Jane M. Watson. "Visual processing during mathematical problem solving." Educational Studies in Mathematics 28, no. 2 (1995): 177–94. http://dx.doi.org/10.1007/bf01295792.

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Davies, Jim, Nancy J. Nersessian, and Ashok K. Goel. "Visual Models in Analogical Problem Solving." Foundations of Science 10, no. 1 (2005): 133–52. http://dx.doi.org/10.1007/s10699-005-3009-2.

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Ruliani, Iva Desi, Nizaruddin Nizaruddin, and 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, no. 1 (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 v
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Polivanova, N. I. "Visual Image Regulation in Joint Problem-solving." Soviet Psychology 28, no. 5 (1990): 54–68. http://dx.doi.org/10.2753/rpo1061-0405280554.

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Lovett, Andrew, and Kenneth Forbus. "Modeling visual problem solving as analogical reasoning." Psychological Review 124, no. 1 (2017): 60–90. http://dx.doi.org/10.1037/rev0000039.

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GOLDSCHMIDT, GABRIELA. "SERIAL SKETCHING: VISUAL PROBLEM SOLVING IN DESIGNING." Cybernetics and Systems 23, no. 2 (1992): 191–219. http://dx.doi.org/10.1080/01969729208927457.

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Hortin, John A., Robert L. Ohlsen, and Barbara S. Newhouse. "Research for Teachers on Visual Thinking to Solve Verbal Problems." Journal of Educational Technology Systems 13, no. 4 (1985): 299–303. http://dx.doi.org/10.2190/hj8h-fyv6-2a0g-p8h2.

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If graduate students are given training in visual thinking, they will be able to use visual thinking for solving verbal problems. One hundred thirty-three graduate students participated in this study to determine whether students could be taught how to use images of the mind for problem solving. Two important activities were stressed: 1) imagery for problem solving and 2) the active participation from students. The authors believe that their study shows the importance of allowing students to use imagery in the problem solving process.
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Sholihah, Ummu, and Maryono Maryono. "Students’ visual thinking ability in solving the integral problem." JRAMathEdu (Journal of Research and Advances in Mathematics Education) 5, no. 2 (2020): 175–86. http://dx.doi.org/10.23917/jramathedu.v5i2.10286.

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Visual thinking plays an essential role in solving problems and in learning mathematics. Many students do not understand how to graphically or geometrically represent problems and solve algebra problems. Visual thinking is the ability, process, and results of creating, interpreting, using, and imagining images and diagrams on paper or with technological tools, describing and communicating information and ideas, developing ideas, and understanding improvement. This research describes students’ visual thinking ability to solve integral problems. The approach used in this study was descriptive qu
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Beveridge, M., and E. Parkins. "Erratum to: Visual representation in analogical problem solving." Memory & Cognition 15, no. 5 (1987): 461. http://dx.doi.org/10.3758/bf03197736.

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Dissertations / Theses on the topic "Visual problem solving"

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Madsen, Adrian M. "Studies of visual attention in physics problem solving." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/15429.

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Doctor of Philosophy<br>Department of Physics<br>N. Sanjay Rebello<br>The work described here represents an effort to understand and influence visual attention while solving physics problems containing a diagram. Our visual system is guided by two types of processes -- top-down and bottom-up. The top-down processes are internal and determined by ones prior knowledge and goals. The bottom-up processes are external and determined by features of the visual stimuli such as color, and luminance contrast. When solving physics problems both top-down and bottom-up processes are active, but to varyin
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Rogers, Erika. "Visual interaction : a link between perception and problem-solving." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/9117.

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Azevedo, Roger. "Expert problem solving in mammogram interpretation, a visual cognitive task." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0002/NQ44353.pdf.

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Rouinfar, Amy. "Influence of visual cueing and outcome feedback on physics problem solving and visual attention." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18725.

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Doctor of Philosophy<br>Department of Physics<br>N. Sanjay Rebello<br>Research has demonstrated that attentional cues overlaid on diagrams and animations can help students attend to the relevant areas and facilitate problem solving. In this study we investigate the influence of visual cues and outcome feedback on students’ problem solving, performance, reasoning, and visual attention as they solve conceptual physics problems containing a diagram. The participants (N=90) were enrolled in an algebra-based physics course and were individually interviewed. During each interview students solved fou
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Krawec, Jennifer Lee. "Problem Representation and Mathematical Problem Solving of Students of Varying Math Ability." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/455.

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The purpose of this study was to examine differences in math problem solving among students with learning disabilities (LD), low-achieving (LA) students, and average-achieving (AA) students. The primary interest was to analyze the problem representation processes students use to translate and integrate problem information as they solve math word problems. Problem representation processes were operationalized as (a) paraphrasing the problem and (b) visually representing the problem. Paraphrasing accuracy (i.e., paraphrasing relevant information, paraphrasing irrelevant linguistic information,
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Tweedie, Lisa Anne. "Exploiting interactivity in graphical problem-solving : from visual cues to insight." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264203.

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Davies, Jim. "Constructive Adaptive Visual Analogy." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4775.

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Visual knowledge appears to be an important part of problem solving, but the role of visual knowledge in analogical problem solving is still somewhat mysterious. In this work I present the Constructive Adaptive Visual Analogy theory, which claims that visual knowledge is helpful for solving problems analogically and suggests a mechanism for how it might be accomplished. Through evaluations using an implemented computer program, cognitive models of some of the visual aspects of experimental participants, and a psychological experiment, I support four claims: First, visual knowledge alone is
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Wu, Xian. "Influence of multimedia hints on conceptual physics problem solving and visual attention." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/32890.

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Doctor of Philosophy<br>Department of Physics<br>Brett D. DePaola<br>Nobel S. Rebello<br>Previous research has showed that visual cues can improve learners' problem solving performance on conceptual physics tasks. In this study we investigated the influence of multimedia hints that included visual, textual, and audio modalities, and all possible combinations thereof, on students' problem solving performance and visual attention. The participants (N = 162) were recruited from conceptual physics classes for this study. Each of them participated in an individual interview, which contained four
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Banerjee, Bonny. "Spatial problem solving for diagrammatic reasoning." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1194455860.

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Webb, Julie Marie. "Dialogue During Team Problem Solving Using Visual Representation Boundary Objects: A Case Study." Scholarly Commons, 2019. https://scholarlycommons.pacific.edu/uop_etds/3648.

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Organizations benefit from the knowledge held by individual members as well as knowledge that is shared among those members. In order for knowledge to co-develop between members, and to spread, organizations must provide opportunities for members to collaborate. Organizational teams sometimes require assistance with interpersonal communication, establishing consensus, and sharing knowledge when collaborating. Group facilitators can offer guidance and intervene when teams need support. In addition, teams can find support through the use of visual representation boundary objects (VRBOs) to b
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Books on the topic "Visual problem solving"

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The designer's eye: Visual problem-solving in architecture. W.W. Norton, 2002.

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Stone, R. J. Multilink fraction activities 2: Problem solving. E.J. Arnold, 1990.

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Problem solving with polyhedra dice. Cuisenaire Co. of America, 1994.

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Richard, Wilde, ed. Visual literacy: A conceptual approach to graphic problem solving. Watson-Guptill, 1991.

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The diagrams book: 50 ways to solve any problem visually. LID, 2013.

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Logical problem solving before the flowchart with C++ and Visual Basic applications. Prentice Hall, 2002.

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Dale, Nell B. Programming and problem solving with C++. 3rd ed. Jones and Bartlett Publishers, 2002.

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Chip, Weems, and Headington Mark R, eds. Programming and problem solving with C++. 2nd ed. Jones and Bartlett, 2000.

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Chip, Weems, and Headington Mark R, eds. Programming and problem solving with C++. D.C. Heath, 1996.

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Chip, Weems, ed. Programming and problem solving with C++. 4th ed. Jones and Bartlett Publishers, 2005.

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Book chapters on the topic "Visual problem solving"

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Davies, Jim, Ashok K. Goel, and Nancy J. Nersessian. "Transfer in Visual Case-Based Problem Solving." In Case-Based Reasoning Research and Development. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11536406_15.

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Bennett, Kevin B., John M. Flach, Timothy R. McEwen, and Olivia Fox. "Enhancing creative problem solving through visual display design." In APA handbook of human systems integration. American Psychological Association, 2015. http://dx.doi.org/10.1037/14528-026.

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Zhu, Ying, Xiaoyuan Suo, and G. Scott Owen. "A Visual Data Exploration Framework for Complex Problem Solving Based on Extended Cognitive Fit Theory." In Advances in Visual Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10520-3_83.

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Giurfa, Martin. "Visual Cognition in Honey Bees: From Elemental Visual Learning to Non-elemental Problem Solving." In Honeybee Neurobiology and Behavior. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2099-2_35.

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Sathyajit, B. P., and C. Shunmuga Velayutham. "Visual Analysis of Genetic Algorithms While Solving 0-1 Knapsack Problem." In Computational Vision and Bio Inspired Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71767-8_6.

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Abdelrahman, Mostafa, Asem Ali, Shireen Elhabian, and Aly A. Farag. "Solving Geometric Co-registration Problem of Multi-spectral Remote Sensing Imagery Using SIFT-Based Features toward Precise Change Detection." In Advances in Visual Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24031-7_61.

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Zaman, Halimah Badioze, Azlina Ahmad, Aliimran Nordin, et al. "Computational Thinking (CT) Problem Solving Orientation Based on Logic-Decomposition-Abstraction (LDA) by Rural Elementary School Children Using Visual-Based Presentations." In Advances in Visual Informatics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34032-2_64.

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Giurfa, Martin. "Visual learning in social insects: From simple associations to higher-order problem solving." In Sensory Perception. Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-211-99751-2_7.

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Aufderheide, Dominik, Werner Krybus, Ulf Witkowski, and Gerard Edwards. "Solving the PnP Problem for Visual Odometry – An Evaluation of Methodologies for Mobile Robots." In Advances in Autonomous Robotics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32527-4_54.

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Zhang, Qiuju, Menno-Jan Kraak, and Connie A. Blok. "Structuring Relations between User Tasks and Interactive Tasks Using a Visual Problem-Solving Approach." In Lecture Notes in Geoinformation and Cartography. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19602-2_7.

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Conference papers on the topic "Visual problem solving"

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Souls, Kevin. "Advanced problem solving." In ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97. ACM Press, 1997. http://dx.doi.org/10.1145/259081.259320.

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Undreiu, Lucian, David Schuster, Adriana Undreiu, Charles Henderson, Mel Sabella, and Leon Hsu. "Interactive Problem Solving Tutorials Through Visual Programming." In 2008 PHYSICS EDUCATION RESEARCH CONFERENCE. AIP, 2008. http://dx.doi.org/10.1063/1.3021258.

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Thompson, Robert H. "Problem formulation affordances for computer supported collaborative problem solving." In 2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 2015. http://dx.doi.org/10.1109/vlhcc.2015.7357231.

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Fan, Sandra B. "Roles in Online Collaborative Problem Solving." In 2010 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 2010. http://dx.doi.org/10.1109/vlhcc.2010.51.

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Rogers, Erika, Robin R. Murphy, and Barb Ericson. "Agent-based expert assistance for visual problem solving." In the first international conference. ACM Press, 1997. http://dx.doi.org/10.1145/267658.267690.

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Jones, Benjamin T. "Human-AI Interaction in Symbolic Problem Solving." In 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 2018. http://dx.doi.org/10.1109/vlhcc.2018.8506542.

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Li, Guohui. "A model of visual attention for locating region of interest in large background." In 2011 International Conference on Computational Problem-Solving (ICCP). IEEE, 2011. http://dx.doi.org/10.1109/iccps.2011.6092281.

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Juan Qin, Yutang Ye, Juanxiu Liu, et al. "A new method of signal processing of photoelectric encoder in visual optical robot with multi-phalanges." In 2012 International Conference on Computational Problem-Solving (ICCP). IEEE, 2012. http://dx.doi.org/10.1109/iccps.2012.6384269.

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Kostousov, Sergei A., and Irina V. Simonova. "VISUAL MODELING FOR EXPLORATORY PROBLEM SOLVING ON COMPUTER SCIENCE LESSONS." In International Conference Cognition and Exploratory Learning in Digital Age 2019. IADIS Press, 2019. http://dx.doi.org/10.33965/celda2019_201911l033.

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Kasparova, Angelika, Oya Celiktutan, and Mutlu Cukurova. "Inferring Student Engagement in Collaborative Problem Solving from Visual Cues." In ICMI '20: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. ACM, 2020. http://dx.doi.org/10.1145/3395035.3425961.

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