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Utilizing Text-Generative AI for Creating Oral Reading Fluency Probes
Intervention in School and Clinic ( IF 1.067 ) Pub Date : 2024-03-13 , DOI: 10.1177/10534512241235896
MacKenzie D. Sidwell 1 , Landon W. Bonner 1 , Kayla Bates-Brantley 1 , Shengtian Wu 2
Affiliation  

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.

中文翻译:

利用文本生成人工智能创建口语阅读流畅度探针

口语阅读流畅度调查对于阅读评估、干预和进度监控至关重要。由于选择口语阅读流畅度探针的选项有限,因此利用所有可用资源(例如 ChatGPT 等生成式 AI)来创建口语阅读流畅度探针非常重要。本文的目的是描述如何通过 ChatGPT 使用 AI 创建可与口语阅读流畅度探针相媲美的可定制阅读段落。使用可读性估计,ChatGPT 生成的段落可以根据特定年级水平进行定制,类似于当前出版商为市场设计口语阅读流畅度探针的方式。ChatGPT 生成的段落的含义是,研究人员和从业者都可以使用 ChatGPT 来根据学习者的技能水平和兴趣创建看似无限量的阅读段落,以获取干预材料和潜在的评估材料,同时降低成本和时间投资。
更新日期:2024-03-13
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