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Teaching Music to Students with AutismTeaching Music to Students with Autism is a comprehensive practical guide for music educators who work with students with autism. Authors and veteran music educators Alice M. Hammel and Ryan M. Hourigan offer an approach centered in inclusion designed for music educators, music teacher educators, and all those who have an interest in the education of students with autism. In this second edition, the authors offer fully up to date information on the
Teaching Music to Students with Autism is a comprehensive practical guide for music educators who work with students with autism. Authors and veteran music educators Alice M. Hammel and Ryan M. Hourigan offer an approach centered in inclusion designed for music educators, music teacher educators, and all those who have an interest in the education of students with autism. In this second edition, the authors offer fully up-to-date information on the diagnosis of autism, advocating for students and music programs, and creating and maintaining a team-approach when working with colleagues. A significant portion of the book is focused on understanding the communication, cognition, behavior, sensory, and socialization challenges inherent in students with autism and ways to structure classroom experiences and learning opportunities for all students. A chapter of classroom snapshots (vignettes) written by teachers in the field of music education provides additional opportunities to transfer information to 'real life' situations. Finally, the book offers a chapter of print and web resources for further study.Shipping Notes
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4.3 ★★★★★
Based on 10 reviews
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Product Reviews
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”.
I use this as a reference when teaching AI concepts and preparing presentations.
I highly recommend it
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Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024
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