Utilizing Text-Generative AI for Creating Oral Reading Fluency Probes

被引：1

作者：

Sidwell, MacKenzie D. ^{[1
,3
]}

Bonner, Landon W. ^{[1
]}

Bates-Brantley, Kayla ^{[1
]}

Wu, Shengtian ^{[2
]}

机构：

[1] Mississippi State Univ, Mississippi State, MS USA

[2] Illinois State Univ, Normal, IL USA

[3] Mississippi State Univ, 175 Presidents Circle, Mississippi State, MS 39762 USA

来源：

INTERVENTION IN SCHOOL AND CLINIC | 2024年

关键词：

oral reading fluency; artificial intelligence; academic intervention; READABILITY FORMULAS; OUTCOMES;

D O I：

10.1177/10534512241235896

中图分类号：

G76 [特殊教育];

学科分类号：

040109 ;

摘要：

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.

引用

页数：7

共 18 条

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