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The Classroom Communication and Collaboration Appraisal: A Comprehensive Tool for Assessing Communication and Collaboration in Classroom Environments.

  • Published In: Journal of Speech, Language & Hearing Research, 2024, v. 67, n. 6. P. 1752 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mealings, Kiri; Miles, Kelly; Buchholz, Joerg M. 3 of 3

Abstract

Purpose: The aim of this research note is to introduce a new appraisal form, the Classroom Communication and Collaboration (C3) Appraisal, designed to evaluate communication and collaboration within classroom settings. Method: A comprehensive synthesis of the key skills from a broad range of publications on successful communication and collaboration in the classroom was conducted. The resulting appraisal comprises 39 items across six scales: crafting clear messages, appropriateness of communication exchange, active listening, pragmatics and discourse, communication breakdown, and collaboration. To demonstrate its application, an exemplar usage of the C3 Appraisal involving a hearing child and a child with hearing loss engaged in a collaborative learning task is presented. Results: The C3 Appraisal allowed for the quality and successfulness of the collaborative learning task between the two children to be assessed and quantified across the six scales. Conclusions: These findings highlight the utility of the C3 Appraisal as a valuable tool for evaluating communication and collaboration in classroom environments. Next steps are to test the reliability and validity of the C3 Appraisal on a large data set. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Speech, Language & Hearing Research. 2024/06, Vol. 67, Issue 6, p1752
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2024
  • ISSN:1092-4388
  • DOI:10.1044/2024_JSLHR-23-00586
  • Accession Number:177761736
  • Copyright Statement:Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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