Problem Solving in Mathematics Education – 9783319407296

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Problem Solving in Mathematics Education Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Peter Liljedahl, Manuel Santos-Trigo, Uldarico Malaspina, Regina Bruder Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319407296, 978-3319407296 Synopsis This survey book reviews four interrelated areas: (i) the relevance of heuristics in problem-solving approaches - why they are important and what research tells us about their use; (ii) the need to characterize and foster creative problem-solving approaches - what type of heuristics helps learners devise and practice creative solutions; (iii) the importance that learners formulate and pursue their own problems; and iv) the role played by the use of both multiple-purpose and ad hoc mathematical action types of technologies in problem-solving contexts - what ways of reasoning learners construct when they rely on the use of digital technologies, and how technology and technology approaches can be reconciled.

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Assessment in Special Education : A Practical Approach, Paperback -9780134189406

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"Assessment in Special Education: A Practical Approach" is a comprehensive textbook authored by George A. Giuliani and Roger A. Pierangelo. Published by Allyn & Bacon, Incorporated in 2016, this book is designed for advanced level adult and further education students studying assessment in special education. With 360 pages, this trade paperback provides valuable insights into the subject area of law and education, specifically focusing on assessment and special education. The authors offer a practical approach to understanding the challenges and best practices in evaluating students with special needs, making this textbook a valuable resource for educators and professionals in the field.

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Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville USA STOCK

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Adaptive Computation and Machine Learning Ser Deep Learning by Yoshua Bengio New. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs.

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