Academic literature on the topic 'Multiple representations'
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Journal articles on the topic "Multiple representations"
Rosengren, Karl S. "Multiple Representations." Contemporary Psychology: A Journal of Reviews 39, no. 8 (August 1994): 837. http://dx.doi.org/10.1037/034585.
Full textLiu, Jing, Hui Zhang, Tao Yu, Duanyu Ni, Liankun Ren, Qinhao Yang, Baoqing Lu, et al. "Stable maintenance of multiple representational formats in human visual short-term memory." Proceedings of the National Academy of Sciences 117, no. 51 (December 7, 2020): 32329–39. http://dx.doi.org/10.1073/pnas.2006752117.
Full textRobins, Anthony V. "MULTIPLE REPRESENTATIONS IN CONNECTIONIST SYSTEMS." International Journal of Neural Systems 02, no. 04 (January 1991): 345–62. http://dx.doi.org/10.1142/s0129065791000327.
Full textLee, Jungmin, and Wongyoung Lee. "Aspects of A Study on the Multi Presentational Metaphor Education Using Online Telestration." Korean Society of Culture and Convergence 44, no. 9 (September 30, 2022): 163–73. http://dx.doi.org/10.33645/cnc.2022.9.44.9.163.
Full textMERCAN ERDOĞAN, Sevcan, Hatice ÇETİN, and Kamil ARI. "Development of Multiple Representation Translating Measurement Tool and Examination of 9th Grade Students’ Multiple Representations Translate Skills in Algebra." Acta Didactica Napocensia 14, no. 2 (December 30, 2021): 160–80. http://dx.doi.org/10.24193/adn.14.2.12.
Full textXu, Yong, Bob Zhang, and Zuofeng Zhong. "Multiple representations and sparse representation for image classification." Pattern Recognition Letters 68 (December 2015): 9–14. http://dx.doi.org/10.1016/j.patrec.2015.07.032.
Full textOwton, Helen. "Integrating Multiple Representations." Qualitative Inquiry 19, no. 8 (July 5, 2013): 600–603. http://dx.doi.org/10.1177/1077800413494347.
Full textArefaine, Nigusse, Kassa Michael, and Shimelis Assefa. "GeoGebra Assisted Multiple Representations for Enhancing Students’ Representation Translation Abilities in Calculus." Asian Journal of Education and Training 8, no. 4 (November 28, 2022): 121–30. http://dx.doi.org/10.20448/edu.v8i4.4309.
Full textFerreira, João Elias Vidueira, and Gwendolyn Angela Lawrie. "Profiling the combinations of multiple representations used in large-class teaching: pathways to inclusive practices." Chemistry Education Research and Practice 20, no. 4 (2019): 902–23. http://dx.doi.org/10.1039/c9rp00001a.
Full textCoiera, Enrico. "The qualitative representation of physical systems." Knowledge Engineering Review 7, no. 1 (March 1992): 55–77. http://dx.doi.org/10.1017/s0269888900006159.
Full textDissertations / Theses on the topic "Multiple representations"
Sniderman, Sarah. "Meaning, multiple representations, computation and instruction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0003/MQ39419.pdf.
Full textCox, Richard Jeffrey. "Analytical reasoning with multiple external representations." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/10550.
Full textTsui, Chi-Yan. "Teaching and Learning Genetics with Multiple Representations." Thesis, Curtin University, 2003. http://hdl.handle.net/20.500.11937/1614.
Full textTsui, Chi-Yan. "Teaching and Learning Genetics with Multiple Representations." Curtin University of Technology, Science and Mathematics Education Centre, 2003. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=14027.
Full textStudent learning was interpreted using a multidimensional conceptual change framework (Tyson, Venville, Harrison, & Treagust, 1997)-social/affective dimension in terms of students' interests and motivations, epistemological dimension in terms of genetics reasoning of six types (Hickey & Kindfield, 1999), and ontological dimension in terms students' gene conceptions (Venville & Treagust, 1998). Teaching and learning with BioLogica were also analysed and interpreted using Ainsworth's three functions of MERs. Necessary techniques including triangulation were used to increase the rigour of data analysis and interpretation in keeping with the qualitative research tradition. The study was conducted during the years 2001 and 2002 at six classroom sites across four senior high schools of different contexts in the metropolitan Perth area in Western Australia. Five teachers and their Year 10 students (four classes) and Year 12 students (two classes) - 117 students (90 girls and 27 boys), aged from 14 to 18, - participated in the study. Data were collected in response to the initial research questions and the reformulated case-specific research questions. The findings in terms of general assertions were generated from within-case and cross-case analyses and interpretations. Findings of the study suggest that teachers idiosyncratically incorporated (rather than integrated) BioLogica activities in their classroom teaching based on their beliefs and referents for normal classroom teaching. The teachers' implementation and scaffolding of student learning with BioLogica were affected by their knowledge of the software and beliefs about its usefulness based on the salient features of the MERs rather than their functions.
Institutional support, technical issues, and time constraints were the possible barriers for using BioLogica in teaching. The findings also suggest that most students were motivated and enjoyed learning with BioLogica but not all who were actively engaged in the activities improved their genetics reasoning. Mindfulness (Salomon & Globerson, 1987) in learning with the BioLogica MERs, learning together with peers, scaffolded learning within the zone of proximal development (Vygotsky, 1978) were deemed important to students' conceptual learning. The postinstructional gene conceptions of most students were not sophisticated and were generally intelligible-plausible (IP) but not intelligible-plausible-fruitful (IPF). While most students identified two salient features of BioLogica MERs, visualisation and instant feedback, some students who substantially improved their reasoning believed that these two features helped their understanding of genetics. Overall, students exhibited social/affective (motivational) and epistemological conceptual change but little or no ontological change. The findings have implications for further and future research. First, Thorley's status analysis is useful in analysing multidimensional conceptual change (Tyson et al., 1997). Second, MERs have provided new learning opportunities and challenges for classroom learning and science teacher education. Third, there is urgency for improving Year 10 genetics teaching and learning. Fourth, the notion of multiple representations is promising in unifying theoretical constructs in psychology, cognitive/computational sciences, science education and science teacher education.
Talbot, Jeanne D. "Evidence for multiple cortical representations of pain in humans." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0023/NQ33090.pdf.
Full textWaldin, Earl DeWitt. "Using multiple representations for efficient communication of abstract values." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12869.
Full textIncludes bibliographical references (p. 217-223).
by Earl DeWitt Waldin.
Ph.D.
Akkus, Cikla Oylum. "The Effects Of Multiple Representations-based Instruction On Seventh Grade Students'." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605615/index.pdf.
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algebra performance, attitudes toward mathematics, and representation preference compared to the conventional teaching. Moreover, it was aimed to find out how students use multiple representations in algebraic situations and the reasons of preferring certain modes of representations. The study was conducted in four seventh grade classes from two public schools in Ankara in the 2003-2004 academic year, lasting eight weeks. For assessing algebra performance, three instruments called algebra achievement test, translations among representations skill test, and Chelsea diagnostic algebra test were used. To assess students&
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attitudes towards mathematics, mathematics attitude scale, to determine students&
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representation preferences before and after the treatment representation preference inventory were administered. Furthermore, as qualitative data, interview task protocol was prepared and interviews were carried out with the students from experimental and control classes. The quantitative analyses were conducted by using multivariate covariance analyses. The results revealed that multiple representations-based instruction had a significant effect on students&
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algebra performance compared to the conventional teaching. There was no significant difference between the experimental and control groups in terms of their attitudes towards mathematics. The chi square analyses revealed that treatment made a significant contribution to the students&
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representation preferences. The results of the interviews indicated that the experimental group students used variety of representations for algebra problems and were capable of using the most appropriate one for the given algebra problems.
Flanders, Steven Todd. "Investigating flexibility, reversibility, and multiple representations in a calculus environment." Thesis, University of Pittsburgh, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3690743.
Full textThis study investigates the development of flexibility and reversibility in a calculus environment that attends to linking multiple representations. Reversibility was studied through Krutetskii’s framework of reversibility of two-way processes and reversibility of the mental process in reasoning. The study was conducted over approximately four months in a high school calculus classroom in an urban school district in a mid-Atlantic state. Instruction attended to linking multiple representations whenever possible. Four types of data were collected: 1) a pre-test, 2) a post-test, 3) daily assessments, and 4) clinical interviews. Twenty-one students completed a pretest and post-test that together assessed development of flexibility over the course of the study. They also completed daily assessments that were collected to provide evidence of the development of reversibility during the course of the study. Six students participated in four clinical interviews each, spread throughout the study. Inferential statistics were used to compare the results of the pre-test and post-test for significant differences and to determine significant differences in the presence of reversibility on the daily assessments over the course of the study. The clinical interviews were analyzed for evidence of students’ thought processes while solving reversible questions. Analysis revealed that over the course of the study, students demonstrated significant increases in both flexibility and reversibility. Two-way reversibility seemed to develop with relative ease for most students and often developed simultaneously with learning a forward process. Developing reversibility of the mental process in reasoning was difficult and tended to develop simultaneously with learning in a forward direction for students with high levels of flexibility. For students who did not develop reversibility simultaneously with forward learning, both two-way reversibility and reversibility of the mental process in reasoning were able to develop through multiple opportunities to solve reversible tasks of similar content. Analysis of the clinical interviews indicated that students typically followed a 4-step thought process when using reversibility to solve problems. Implications and limitations of the study and areas of further research were discussed.
Chongburee, Wachira. "Implementation of Iterative Reconstruction of Images from Multiple Bases Representations." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/35379.
Full textIn this thesis, test images are distorted by MBR compression using a Recursive Residual Projection algorithm. This algorithm is a sub-optimal method to find the best basis vector subset for representing images based on multiple orthogonal bases. The MBR distorted images are reconstructed by the iterative method of Projection onto Convex Sets (POCS). Many constraints that form convex sets are reviewed and examined.
Due to the high distortion at the block boundaries, some constraints are introduced particularly to reduce artifacts at the boundaries. Some constraints add energy to the reconstructed images while others remove energy. Thus, the initial vectors play a key role in the performance of the POCS method for better MBR reconstruction. This thesis also determines the most appropriate initial vector for each constraint.
Finally, the composite projections associated with the sign, minimum decreasing and norm-of-slope constraints are used to improve the reconstruction of the MBR distorted images and the effect of ordering of the projections is investigated.
Master of Science
Kanayet, Frank J. "Evidence for Multiple Representations of Number in the Human Brain." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250463574.
Full textBooks on the topic "Multiple representations"
Alexander-Smith, Robin. Conflicts of interest: Multiple representations. [Chicago]: American Bar Association, Center for Professional Responsibility, 1994.
Find full textTreagust, David F., Reinders Duit, and Hans E. Fischer, eds. Multiple Representations in Physics Education. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58914-5.
Full textTreagust, David F., and Chi-Yan Tsui, eds. Multiple Representations in Biological Education. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4192-8.
Full textGilbert, John K., and David Treagust, eds. Multiple Representations in Chemical Education. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8872-8.
Full textMultiple representations in chemical education. [Dordrecht]: Springer, 2009.
Find full textMiller, Michael D., and Mitchell A. Thornton. Multiple Valued Logic: Concepts and Representations. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-79779-8.
Full textButtenfield, Barbara Pfeil. Research initiative 3: Multiple representations, closing report. [Santa Barbara, CA]: National Center for Geographic Information and Analysis, 1993.
Find full textVan Meter, Peggy, Alexandra List, Doug Lombardi, and Panayiota Kendeou. Handbook of Learning from Multiple Representations and Perspectives. Edited by Peggy Van Meter, Alexandra List, Doug Lombardi, and Panayiota Kendeou. New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429443961.
Full textSharma, Ajay. Reconstructing the geometry of a 3-dimensional model using multiple visible surface representations. Leicester: Leicester Polytechnic, 1988.
Find full textVinz, Ruth. Composing a teaching life: Partial, multiple, and sometimes contradictory representations of teaching and learning literature. Urbana, Ill. (1111 W. Kenyon Rd., Urbana, Ill. 61801-1096): National Council of Teachers of English, 1993.
Find full textBook chapters on the topic "Multiple representations"
Fink, Eugene. "Multiple representations." In Changes of Problem Representation, 193–204. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1774-4_6.
Full textAllen, G. Donald. "Multiple Representations, I." In Pedagogy and Content in Middle and High School Mathematics, 257–62. Rotterdam: SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6351-137-7_58.
Full textAllen, G. Donald. "Multiple Representations, II." In Pedagogy and Content in Middle and High School Mathematics, 263–76. Rotterdam: SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6351-137-7_59.
Full textAllen, G. Donald. "Multiple Representations, III." In Pedagogy and Content in Middle and High School Mathematics, 277–87. Rotterdam: SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6351-137-7_60.
Full textAllen, G. Donald. "Multiple Representations, IV." In Pedagogy and Content in Middle and High School Mathematics, 289–94. Rotterdam: SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6351-137-7_61.
Full textPękalska, Elżbieta, and Robert P. W. Duin. "On Combining Dissimilarity Representations." In Multiple Classifier Systems, 359–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48219-9_36.
Full textde Jong, Ton, and Jan van der Meij. "Learning with Multiple Representations." In Encyclopedia of the Sciences of Learning, 2026–29. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_485.
Full textRist, Robert S. "Search Through Multiple Representations." In User-Centred Requirements for Software Engineering Environments, 165–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-03035-6_13.
Full textCromley, Jennifer G. "Learning from Multiple Representations." In Handbook of Learning from Multiple Representations and Perspectives, 62–75. New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429443961-6.
Full textBullmann, Jörg, and Udo Kebschull. "Multiple Domain Logic Synthesis." In Representations of Discrete Functions, 211–32. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1385-4_9.
Full textConference papers on the topic "Multiple representations"
Nguyen, G. T., and D. Rieu. "Multiple object representations." In the 1992 ACM annual conference. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/131214.131239.
Full textDavis, Clodoveu A., and Alberto H. F. Laender. "Multiple representations in GIS." In the seventh ACM international symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/320134.320151.
Full textWang, Junqian, and Yirui Liu. "Multiple Representations and Sparse Representation for Color Image Classification." In the 2018 International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3232829.3232847.
Full textSong, Lihong, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, and Jonathan Poon. "Medical Concept Embedding with Multiple Ontological Representations." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/641.
Full textSantini, Simone, and Amarnath Gupta. "Accessing images with multiple representations." In Electronic Imaging 2004, edited by Simone Santini and Raimondo Schettini. SPIE, 2003. http://dx.doi.org/10.1117/12.527864.
Full textBicer, Ali. "Multiple Representations and Mathematical Creativity." In 2022 AERA Annual Meeting. Washington DC: AERA, 2022. http://dx.doi.org/10.3102/1885291.
Full textSeo, Jangwon, and W. Bruce Croft. "Geometric representations for multiple documents." In Proceeding of the 33rd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1835449.1835493.
Full textMontenegro, Paula, Cecília Costa, and Bernardino Lopes. "MULTIPLE REPRESENTATIONS IN PROBLEM SOLVING WITH DIVISORS AND MULTIPLES." In International Technology, Education and Development Conference. IATED, 2017. http://dx.doi.org/10.21125/inted.2017.1599.
Full textNagayama, Shinobu, and Tsutomu Sasao. "Representations of Elementary Functions Using Edge-Valued MDDs." In 37th International Symposium on Multiple-Valued Logic. IEEE, 2007. http://dx.doi.org/10.1109/ismvl.2007.49.
Full textTang, Ziyang, Xiang Liu, Yingjie Chen, and Baijian Yang. "The Role of Multiple Representations and Representational Fluency in Cryptography Education." In SIGITE '19: The 20th Annual Conference on Information Technology Education. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349266.3351412.
Full textReports on the topic "Multiple representations"
Cassimatis, Nicholas L. Harnessing Multiple Representations for Autonomous Full-Spectrum Political, Military, Economic, Social, Information and Infrastructure (PMESII) Reasoning. Fort Belvoir, VA: Defense Technical Information Center, May 2007. http://dx.doi.org/10.21236/ada469995.
Full textSitabkhan, Yasmin, and Linda M. Platas. Early Mathematics Counts: Promising Instructional Strategies from Low- and Middle-Income Countries. RTI Press, July 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0055.1807.
Full textChen, Pehong, and Michael A. Harrison. Multiple Representation Document Development. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada197369.
Full textRathke, Christian, and David F. Redmiles. Multiple Representation Perspectives for Supporting Explanation in Context. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada447671.
Full textEdelman, Shimon, and Daphna Weinshall. A Self-Organizing Multiple-View Representation of Three-Dimensional Objects. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada216711.
Full textJaffe, Robert. Fractional Representation Design of Dynamic Output Controllers for Multiple Time Scale Systems. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1359.
Full textMuljadi, E., S. Pasupulati, A. Ellis, and D. Kosterov. Method of Equivalencing for a Large Wind Power Plant with Multiple Turbine Representation:. Office of Scientific and Technical Information (OSTI), July 2008. http://dx.doi.org/10.2172/1218414.
Full textKrainyk, Yaroslav M., Anzhela P. Boiko, Dmytro A. Poltavskyi, and Vladimir I. Zaselskiy. Augmented Reality-based historical guide for classes and tourists. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3747.
Full textBackstrom, Robert, and David Dini. Firefighter Safety and Photovoltaic Systems Summary. UL Firefighter Safety Research Institute, November 2011. http://dx.doi.org/10.54206/102376/kylj9621.
Full textBackstrom, Robert, and David Backstrom. Firefighter Safety and Photovoltaic Installations Research Project. UL Firefighter Safety Research Institute, November 2011. http://dx.doi.org/10.54206/102376/viyv4379.
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