Reading Instruction for Students with Emotional Disturbance: A Mixed-Methods Investigation.

Reading Instruction for Students with Emotional Disturbance: A Mixed-Methods Investigation.

McKenna, John William;Adamson, Reesha;Solis, Michael;
behavior modification 2019 pp. 145445519868804
244
mckenna2019readingbehavior

Abstract

Although there is a substantial body of observation research investigating the manner in which reading instruction is provided to students with learning disabilities, there is little research in this area involving students with and at risk for emotional disturbance. The purpose of this investigation was to contribute to the limited corpus of observation studies investigating school-based practice in reading for this student population. In this investigation, 11 teachers from two states were systematically observed while providing reading instruction over the course of the 2017-2018 school year. Participating students were also observed over the course of the year and completed two standardized reading assessments at the beginning and end of this investigation. Teachers were also interviewed to identify contextual factors that promote or impede the provision of high quality reading instruction to this student population. Study findings suggest that teachers are in need of additional training, support, and resources to maximize instructional time. Students in this sample tended to make no or minimal progress in reading and were frequently observed displaying low levels of academic engagement across settings. Implications for school practice and areas for future research are discussed.

Citation

ID: 48997
Ref Key: mckenna2019readingbehavior
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
48997
Unique Identifier:
10.1177/0145445519868804
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet