Recommendations for Integrating Automated Writing Evaluation with Evidence-Based Instructional Practice

Authors

  • Joshua Wilson School of Education, University of Delaware, USA
  • Tania Cruz Cordero School of Education, University of Delaware, USA
  • Andrew Potter Department of Psychology, Arizona State University, USA
  • Matthew Myers School of Education, University of Delaware, USA
  • Charles A. MacArthur School of Education, University of Delaware, USA
  • Gaysha Beard Red Clay Consolidated School District, USA
  • Emily A. Fudge Red Clay Consolidated School District, USA
  • Alexandria Raiche Milford School District, USA
  • Cristina Ahrendt University of Delaware

DOI:

https://doi.org/10.47852/bonviewIJCE42024011

Keywords:

automated writing evaluation, automated scoring, writing, writing instruction, writing assessment, automated feedback

Abstract

Automated writing evaluation systems are formative assessment systems that provide immediate, automated feedback on L1, L2, and EFL students' writing in the form of writing-quality scores and suggestions for revising. As such, these systems have the potential for alleviating some of the persistent barriers teachers face to implementing evidence-based writing instruction practices. However, simply adopting this technology without careful attention to how it is implemented will not guarantee instructional benefits. In this article we draw on prior research to make recommendations to effectively integrate automated writing evaluation alongside evidence-based writing instruction practices to improve writing instruction and intervention, leveraging the affordances of this technology while addressing its limitations. Specifically, we discuss how researchers, interventionists, and educators using automated writing evaluation should develop students' knowledge of underlying evaluation criteria; teach strategies for planning, drafting, and revising; supplement automated feedback with effective teacher-provided feedback; and enact goal setting and progress monitoring.

 

 

Received: 1 August 2024 | Revised: 8 November 2024 | Accepted: 11 November 2024 

 

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

 

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

 

Author Contribution Statement

Joshua Wilson: Conceptualization, Methodology, Investigation, Writing – original draft, Writing – review & editing, Supervision, Funding acquisition. Tania Cruz Cordero: Writing – review & editing. Andrew Potter: Writing – review & editing. Matthew Myers: Writing – review & editing. Charles A. MacArthur: Writing – review & editing, Funding acquisition. Gaysha Beard: Investigation, Funding acquisition. Emily A. Fudge: Investigation, Writing – original draft. Alexandria Raiche: Investigation, Writing – original draft. Cristina Ahrendt: Investigation, Writing – original draft.


Downloads

Published

2024-11-18

Issue

Section

Review

How to Cite

Wilson, J., Cruz Cordero, T., Potter, A., Myers, M., MacArthur, C. A., Beard, G., Fudge, E. A., Raiche, A., & Ahrendt, C. (2024). Recommendations for Integrating Automated Writing Evaluation with Evidence-Based Instructional Practice. International Journal of Changes in Education. https://doi.org/10.47852/bonviewIJCE42024011

Funding data