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Titlebook: Learning Discourse; Discursive approache Carolyn Kieran,Ellice Forman,Anna Sfard Book 2002 Springer Science+Business Media Dordrecht 2002 A

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發(fā)表于 2025-3-25 07:21:25 | 只看該作者
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Book 2002tages and pitfalls. This volume is therefore addressed both to those interested in specific questions regarding classroom communication, and to those who are looking for a general conceptual lens with which to tackle the complexity of mathematical teaching and learning.
23#
發(fā)表于 2025-3-25 15:26:47 | 只看該作者
ing about its nature and its possible advantages and pitfalls. This volume is therefore addressed both to those interested in specific questions regarding classroom communication, and to those who are looking for a general conceptual lens with which to tackle the complexity of mathematical teaching and learning.978-90-481-6175-1978-0-306-48085-0
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發(fā)表于 2025-3-25 17:18:37 | 只看該作者
mmunication. As a result, the familiar discussion of mental schemes, misconceptions, and cognitive conflict is transformed into a consideration of activity, patterns of interaction, and communication failure. By equating thinking with communicating, the discursive approach also deconstructs the prob
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發(fā)表于 2025-3-26 08:13:21 | 只看該作者
Book 2002ussion of mental schemes, misconceptions, and cognitive conflict is transformed into a consideration of activity, patterns of interaction, and communication failure. By equating thinking with communicating, the discursive approach also deconstructs the problematic dichotomy between "individual" and
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發(fā)表于 2025-3-26 14:42:20 | 只看該作者
Anna Sfardstem response models and measurement noise models. Strictly speaking, however, PET measurements, pre-corrected for accidental coincidences, are neither Poisson nor Gaussian distributed and thus do not meet basic assumptions of these algorithms. In addition, the difficulty in determining the proper s
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發(fā)表于 2025-3-26 18:03:42 | 只看該作者
Bert van Oerss helps in understanding the dynamics of disease progression and facilitates early diagnosis by staging patients on a disease progression timeline. Existing EBM methods are all generative in nature. In this work we propose a novel discriminative approach to EBM, which is shown to be more accurate as
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