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Books on the topic 'Learning theory'

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1

Shaydenko, Nadezhda, and Svetlana Kipurova. Learning theory. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1077726.

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The textbook is devoted to one of the sections of pedagogy - the theory of learning. The leading issues are the content of education; forms, methods, means of teaching; forms of organization of training. The main attention is paid to the educational system of Russia and modern trends in the development of education. The study of the theory of learning is important not only for the future teacher to master the system of knowledge, but also for the formation of students' didactic competencies. To do this, in addition to theoretical material, the textbook contains a significant amount of practical tasks, material for consolidating what has been studied, test questions and tasks. Meets the requirements of the federal state educational standards of higher education of the latest generation. For undergraduate students studying in psychological and pedagogical specialties, as well as for undergraduates of pedagogical specialties who do not have a basic pedagogical education.
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2

Bshouty, Nader H., and Claudio Gentile, eds. Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72927-3.

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3

Lugosi, Gábor, and Hans Ulrich Simon, eds. Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11776420.

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4

Shawe-Taylor, John, and Yoram Singer, eds. Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b98522.

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5

Auer, Peter, and Ron Meir, eds. Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b137542.

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6

Ecological learning theory. London: Routledge, 1989.

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7

Watanabe, Osamu, and Takashi Yokomori, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46769-6.

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8

Bshouty, Nader H., Gilles Stoltz, Nicolas Vayatis, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34106-9.

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9

Jantke, Klaus P., Takeshi Shinohara, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60454-5.

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10

Jain, Sanjay, Rémi Munos, Frank Stephan, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40935-6.

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11

Arimura, Hiroki, Sanjay Jain, and Arun Sharma, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-40992-0.

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12

Hutter, Marcus, Frank Stephan, Vladimir Vovk, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16108-7.

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13

Ben-David, Shai, ed. Computational Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62685-9.

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14

Li, Ming, and Akira Maruoka, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63577-7.

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15

Jain, Sanjay, Hans Ulrich Simon, and Etsuji Tomita, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564089.

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16

Vapnik, Vladimir Naumovich. Statistical learning theory. New York: Wiley, 1998.

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17

Balcázar, José L., Philip M. Long, and Frank Stephan, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11894841.

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18

Freund, Yoav, László Györfi, György Turán, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87987-9.

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19

Cesa-Bianchi, Nicolò, Masayuki Numao, and Rüdiger Reischuk, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36169-3.

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20

Richter, Michael M., Carl H. Smith, Rolf Wiehagen, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49730-7.

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21

Kivinen, Jyrki, and Robert H. Sloan, eds. Computational Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45435-7.

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22

Abe, Naoki, Roni Khardon, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45583-3.

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23

Ortner, Ronald, Hans Ulrich Simon, and Sandra Zilles, eds. Algorithmic Learning Theory. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46379-7.

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24

Doshita, Shuji, Koichi Furukawa, Klaus P. Jantke, and Toyaki Nishida, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57369-0.

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25

Jantke, Klaus P., Shigenobu Kobayashi, Etsuji Tomita, and Takashi Yokomori, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57370-4.

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26

Kivinen, Jyrki, Csaba Szepesvári, Esko Ukkonen, and Thomas Zeugmann, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24412-4.

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27

Hutter, Marcus, Rocco A. Servedio, and Eiji Takimoto, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75225-7.

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28

Auer, Peter, Alexander Clark, Thomas Zeugmann, and Sandra Zilles, eds. Algorithmic Learning Theory. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11662-4.

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29

Gavaldà, Ricard, Gábor Lugosi, Thomas Zeugmann, and Sandra Zilles, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04414-4.

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30

Ben-David, Shoham, John Case, and Akira Maruoka, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b100989.

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31

Chaudhuri, Kamalika, CLAUDIO GENTILE, and Sandra Zilles, eds. Algorithmic Learning Theory. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24486-0.

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32

Gavaldá, Ricard, Klaus P. Jantke, and Eiji Takimoto, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b14273.

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33

Fischer, Paul, and Hans Ulrich Simon, eds. Computational Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-49097-3.

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34

Helmbold, David, and Bob Williamson, eds. Computational Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44581-1.

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35

Arikawa, Setsuo, and Klaus P. Jantke, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58520-6.

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36

Vitányi, Paul, ed. Computational Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-59119-2.

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37

Arikawa, Setsuo, and Arun K. Sharma, eds. Algorithmic Learning Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61863-5.

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38

International Workshop on Algorithmic Learning Theory (1st 1990 Tokyo). Algorithmic learning theory. Tokyo: Ohmsha, 1990.

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39

1941-, Arikawa S., ed. Algorithmic learning theory. Berlin: Springer, 1990.

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40

S, Arikawa, Miyano S, Yokomori T, and Workshop on Algorithmic Learning Theory, (4th : 1993 : Tokyo), eds. Algorithmic learning theory. Amsterdam: North-Holland, 1995.

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41

1922-, Williams Carl D., ed. Confirmation learning theory. New York: P. Lang, 1989.

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42

K, Estes William, Healy Alice F, Kosslyn Stephen Michael 1948-, and Shiffrin Richard M, eds. From learning theory to connectionist theory. Hillsdale, N.J: L. Erlbaum, 1992.

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43

Learning theory, instructional theory, and psychoeducational design. Lanham, MD: University Press of America, 1985.

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44

Ide, Arthur Frederick. Language learning: Theory & research. Dallas, TX: Monument Press, 2010.

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45

1942-, Flannery Daniele D., ed. Applying cognitive learning theory to adult learning. San Francisco, Calif: Jossey-Bass, 1993.

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46

José, Hanson Stephen, Drastal George A, and Rivest Ronald L, eds. Computational learning theory and natural learning systems. Cambridge, Mass: MIT Press, 1994.

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47

Retention theory for teachers. Thousand Oaks, Calif: Corwin Press, 1995.

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48

Tarpy, Roger M. Contemporary learning theory and research. New York: McGraw-Hill, 1997.

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49

The theory of learners: An introduction. London: Kogan Page, 1995.

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50

Rademacher, Lee M. Learning to learn: A philosophical guide to learning. New York: IUniverse, 2004.

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