To support students with disabilities who do not respond to typically effective reading intervention, special education teachers are expected to implement evidence-based practices for intensifying intervention. Data-based individualization is an effective, evidence-based practice recommended in research to intensify intervention, but requires knowledge and skills in data use that many teachers are not trained for. This article provides guidance for teachers to select appropriate tools for measuring progress during the data-based individualization process. In addition, guidelines for how to design appropriate mastery measures based on a student’s individual weaknesses and information gathered from progress monitoring are provided. Together, these data provide a foundation for making sound decisions on when and how to adjust reading intervention to meet student needs.

中文翻译：

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选择和设计测量来跟踪残疾学生的阅读进度

为了支持对通常有效的阅读干预没有反应的残疾学生，特殊教育教师应实施循证实践以加强干预。基于数据的个性化是研究中推荐的一种有效的、以证据为基础的实践，以加强干预，但需要许多教师未受过培训的数据使用知识和技能。本文为教师在基于数据的个性化过程中选择合适的工具来衡量进度提供了指导。此外，还提供了如何根据学生的个人弱点和从进度监控中收集的信息来设计适当的掌握措施的指南。一起，