Utilizing Text-Generative AI for Creating Oral Reading Fluency Probes

Authors

MacKenzie D. Sidwell, Mississippi State University
Landon W. Bonner, Mississippi State University
Kayla Bates-Brantley, Mississippi State University
Shengtian Wu, Illinois State UniversityFollow

Document Type

Article

Publication Date

2024

Publication Title

Intervention in School and Clinic

Keywords

oral reading fluency, artificial intelligence, academic intervention

Abstract

Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative AI like ChatGPT to create oral reading fluency probes. The purpose of this article is to describe how to use AI through ChatGPT to create customizable reading passages comparable with that of oral reading fluency probes. Using readability estimates, the ChatGPT-generated passages can be tailored to suit for specific grade levels, similar to how current publishers design oral reading fluency probes for the market. The implication of ChatGPT-generated passages is that researchers and practitioners alike could use ChatGPT to be able to create a seemingly unlimited amount of reading passages tailored to the skill level and interests of the learner for intervention material and potentially assessment material, while reducing cost and time investment.

Comments

This is an accepted manuscript of an article first published in Intervention in School and Clinic. https://doi.org/10.1177/10534512241235896.

Recommended Citation

Sidwell, MacKenzie D.; Bonner, Landon W.; Bates-Brantley, Kayla; and Wu, Shengtian, "Utilizing Text-Generative AI for Creating Oral Reading Fluency Probes" (2024). Faculty Publications – Psychology. 91.
https://ir.library.illinoisstate.edu/fppsych/91

DOI

10.1177/10534512241235896