Книги з теми "Learning tracks"

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1

Spear-Swerling, Louise. Off track: When poor readers become "learning disabled". Boulder, Colo: Westview Press, 1996.

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2

Lawlor, Michael. Inner track learning: Exercises in vizualization, relaxation and energy raising to accompany the book "Inner track learning" by Michael Lawlor. [Kemble]: [Centre for Inner Development in Business], 1988.

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3

Remick, Kristy Mitchell. Eyes on track: A missing link to successful learning. Folsom, CA: JF's Pub., 2000.

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4

Oliver, Nuria, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, and Jose A. Lozano, eds. Machine Learning and Knowledge Discovery in Databases. Research Track. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86486-6.

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5

Oliver, Nuria, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, and Jose A. Lozano, eds. Machine Learning and Knowledge Discovery in Databases. Research Track. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86520-7.

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6

Oliver, Nuria, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, and Jose A. Lozano, eds. Machine Learning and Knowledge Discovery in Databases. Research Track. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86523-8.

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7

Beadle, Cosette. Star track reading and spelling. London: Whurr, 1997.

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8

Beadle, Cosette. Star track reading and spelling. London: Whurr, 1997.

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9

Jenny, Robert. Les traces de l'apprendre: Un autre regard sur les salariés d'entreprise. Paris, France: L'Harmattan, 2005.

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10

Ackoff, Russell Lincoln. Turning learning right side up: Putting education back on track. Upper Saddle River, N.J: Wharton School Pub., 2008.

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11

Llywelyn, Jen. Welsh in a year!: Fast-track your learning of Welsh. Talybont, Ceredigion: Y Lolfa, 2007.

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12

White, Lisa May. Temporal difference learning: Eligibility traces and the successor representation for actions. Toronto: University of Toronto, Dept. of Computer Science, 1995.

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13

Dong, Yuxiao, Dunja Mladenić, and Craig Saunders, eds. Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67667-4.

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14

Dong, Yuxiao, Nicolas Kourtellis, Barbara Hammer, and Jose A. Lozano, eds. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86517-7.

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15

Dong, Yuxiao, Nicolas Kourtellis, Barbara Hammer, and Jose A. Lozano, eds. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86514-6.

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16

Dong, Yuxiao, Georgiana Ifrim, Dunja Mladenić, Craig Saunders, and Sofie Van Hoecke, eds. Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67670-4.

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17

Peter, Fisk. Learning genitourinary medicine and HIV disease through MCQ. Chichester: Wiley, 1990.

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18

Mishenin, Sergey. Information and analytical work. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/987953.

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Анотація:
In the textbook the basic concepts concerning the organization and technology of information work of the student-historian are considered. It includes four sections: the first determines the place of the course's problems in the process of historical knowledge; the second tracks the principal features of facts, sources and research, which can potentially be the sphere of historical research; the third introduces the reader to the principles, conceptual apparatus, laws, methods and judgments as means of knowledge.; the fourth introduces the experience of constructing the text of the study, which sums up a certain result of the work done and allows you to " translate the process of learning a new state of relative knowledge." Meets the requirements of the Federal state educational standards of higher education of the last generation. It is intended for undergraduate students studying the discipline "Information and analytical work". It can be useful to persons preparing for admission to the master's degree in the areas of training "History" and "International relations", as well as all those interested in working with documents and other media.
19

Pungier, Marie-Françoise. De fragments en traces: Déchiffrer dans leurs écrits le récit d’expérience de mobilité courte d’étudiants japonais en France. Bern: Peter Lang International Academic Publishers, 2020.

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20

Stone, Brian James. The Rhetorical Arts in Late Antique and Early Medieval Ireland. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789462984455.

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This book represents the first study of the art of rhetoric in medieval Ireland, a culture often neglected by medieval rhetorical studies. In a series of three case studies, Brian Stone traces the textual transmission of rhetorical theories and practices from the late Roman period to those early Irish monastic communities who would not only preserve and pass on the light of learning, but adapt an ancient tradition to their own cultural needs, contributing to the history of rhetoric in important ways. The manuscript tradition of early Ireland, which gave us the largest body of vernacular literature in the medieval period and is already appreciated for its literary contributions, is also a site of rhetorical innovation and creative practice.
21

Furby, Lindy, and Jilly Catlow. Learning Tracks: Planning and Assessing Learning for Children with Severe and Complex Needs. SAGE Publications, Limited, 2016.

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22

Furby, Lindy, and Jilly Catlow. Learning Tracks: Planning and Assessing Learning for Children with Severe and Complex Needs. SAGE Publications, Limited, 2016.

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23

Lawlor, Michael. Inner Track Learning. Pilgrims Publications, 1988.

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24

LEARNING, CRISP. Crisp Learning Track: Management. Crisp Learning, 2003.

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25

LEARNING, CRISP. Crisp Learning Track: Supervisor. Crisp Learning, 2003.

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26

LEARNING, CRISP. Crisp Learning Track: Leadership. Crisp Learning, 2003.

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27

Bell, Adam Patrick. Track 1. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190296605.003.0003.

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Fifty-three-year-old guitarist Michael is the figurative flag-bearer of learning anew in the digital age. Despite decades of experience making multitrack recordings at home and professionally, Michael found himself in unfamiliar territory when first encountering the DAW Ableton Live. Leaning on skeuomorphic design cues and refusing to be bound by the learning approaches that characterize “digital immigrants,” Michael clicked his way through frustration to discover the din of his dreams. Without the aid of a teacher in any sense of the word, Michael matter-of-factly summarized his learning approach: “I didn’t have anybody tutoring me and I didn’t have any help files, so I just had to figure it out for myself.” His music-making processes exemplify how the quest for a specific sound (timbre) is foundational in DIY home recording.
28

LEARNING, CRISP. Crisp Learning Track: Human Resources. Crisp Learning, 2003.

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29

LEARNING, CRISP. Crisp Learning Track: Call Center. Crisp Learning, 2003.

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30

LEARNING, CRISP. Crisp Learning Track: Customer Service. Crisp Learning, 2003.

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31

LEARNING, CRISP. Crisp Learning Track: New Employee. Crisp Learning, 2003.

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32

Phonics Single Consonant Sounds (Fast track Learning, Learning Resources). Learning Resources, 1999.

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33

LEARNING, CRISP. Crisp Learning Track: Train the Trainer. Crisp Learning, 2003.

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34

Learning, Crisp. Crisp Learning Track: Communications (Crisp Fifty-Minute). Crisp/Course Technology, 2003.

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35

Anthony, M. H. G., and N. Biggs. Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science). Cambridge University Press, 1997.

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36

Schmidtz, David. Environmental Conflict. Edited by Stephen M. Gardiner and Allen Thompson. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199941339.013.45.

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Анотація:
A philosopher might presume that principles of justice somehow are more fundamental than principles of conflict resolution. But moral philosophy done well is neither as autonomous as that, nor as naïve. Moral philosophy done well tracks truth about the human condition, which means it tracks truth about what it actually takes in the real world for people to live in peace. Accordingly, the relationship between justice and conflict resolution is an evolving process of mutual specification, anchored to facts about what helps people get along and make progress. If we want to understand what people have reason to expect from each other and to regard as their due, we would do well to start by learning how people avoid and resolve conflict.
37

Berk, et al Diane. Crisp Learning Track: Job Search Essentials (The Crisp Series). Crisp Learning, 2006.

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38

TESSELLATION TILE GEOMETRIC PUZZLES (FAST TRACK LEARNING, LER 7265). LEARNING RESOURCES, 1998.

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39

BS, Prof Manoj. Multi-Track Modular Teaching: An Advanced Teaching-Learning Method. bsmp, 2019.

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40

Menary, Richard. Keeping Track with Things. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198769811.003.0016.

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Анотація:
The chapter begins with an evolutionary account of tracking systems, from simple detection systems to complex decoupled and highly flexible tracking systems. The important mediator is the role of the environment in providing the complexity, translucency, and hostility that produces the evolutionary pressures that result in more complex tracking systems. An evolutionary platform is provided for how modern humans could have come to innovate epistemic tracking tools (ETTs) for keeping track of salient features of the environment. Three examples of ETTs in action are given, ranging from highly iconic and contextual learning tools—such as the Mattang—to highly abstract and decoupled conventional symbol systems. Finally, it is argued that ETTs are compatible with a responsibilist-reliabilism since their correct deployment requires epistemic diligence and the reliable functioning of the tool itself. As such, a framework for understanding and exploring how we keep track with things has been given.
41

Engelmann, Siegfried. Horizons Learning to Read: Fast Track a-b Textbook 3. Sra, 1997.

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42

Gonzalez-Grant, Olga. Domino addition & subtraction: Skill-building activities & games (Fast track learning). Learning Resources Inc, 1997.

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43

Ackoff, Russell, and Daniel Greenberg. Turning Learning Right Side Up: Putting Education Back on Track. FT Press, 2008.

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44

Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research., eds. Signs & traces: Model indicators of college student learning in the disciplines. Washington, D.C: Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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45

Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research, eds. Signs & traces: Model indicators of college student learning in the disciplines. Washington, D.C: Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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46

Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research, eds. Signs & traces: Model indicators of college student learning in the disciplines. Washington, D.C: Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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47

Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research, eds. Signs & traces: Model indicators of college student learning in the disciplines. Washington, D.C: Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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48

Signs & traces: Model indicators of college student learning in the disciplines. Washington, D.C: Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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49

Clifford, Adelman, and United States. Office of Educational Research and Improvement. Office of Research., eds. Signs & traces: Model indicators of college student learning in the disciplines. Washington, D.C: Office of Educational Research and Improvement, U.S. Dept. of Education, Office of Research, 1989.

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50

Temporal difference learning: Eligibility traces and the successor representation for actions. Ottawa: National Library of Canada, 1995.

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