1,722
Views
2
CrossRef citations to date
0
Altmetric
Features

The Magic of Music: Engaging Young Children With Autism Spectrum Disorders in Early Literacy Activities With Their Peers

&
Pages 126-133 | Published online: 12 Feb 2016
 

Abstract

Anyone who has spent much time with young children has witnessed the joy and relish with which they approach making and listening to music. All children, regardless of ability, circumstance, or cultural background, have a natural affinity for music; even children as young as a few months old can keep the beat of a song. Thankfully, music is available to everyone on Earth—by singing or crafting instruments from whatever materials are available, music is close at hand for us all. Because it is beloved and embraced by children, music provides a wonderful opportunity for learning. The tones, patterns, and sounds in music can provide a helpful template for building early literacy skills in young children, as they correspond to the tones, patterns, and sounds in written and spoken language. In fact, music can contribute to learning in all subjects, as it requires attention, focus, and flexibility. Research suggests that music can be especially effective and unifying in inclusive classrooms with children of varying abilities and diverse strengths. In this article, the authors explore how the use of music in the classroom can contribute to early literacy learning, and be particularly helpful for children diagnosed with autism spectrum disorder.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 58.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.