Read, Understand, Learn, & Excel: Development and Testing of an Automated Reading Strategy Detection Algorithm for Postsecondary Students
Read, Understand, Learn, & Excel: Development and Testing of an Automated Reading Strategy Detection Algorithm for Postsecondary Students
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阅读、理解、学习、
DOI：
10.1044/2019_ajslp-18-0181
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发表时间：
2019
影响因子：
2.6
通讯作者：
Fickas, Stephen
中科院分区：
文献类型：
--
作者：
Kucheria, Priya;Sohlberg, McKay Moore;Prideaux, Jason;Fickas, Stephen
研究目的中学后学业成功的一个重要预测因素是个人的阅读理解能力。中学后的读者应用广泛的行为策略来处理文本的学习目的。目前，没有工具可以检测读者对策略的使用。本研究的主要目的是开发阅读，理解，学习，和Excel，一个自动化的工具，旨在检测阅读策略的使用，并探讨其准确性，在检测策略时，学生阅读数字化，非文字。MethodAn迭代设计被用来开发的计算机算法检测9阅读策略。 12名本科生阅读了2篇长度和复杂性相等的短文。人类观察者记录了每个读者使用的策略，而计算机使用数字序列来检测相同的策略。然后对数据进行编码和分析，以确定2个策略检测来源之间的一致性（即，结果计算机和人类编码的策略之间的协议是75%或更高的9个策略中的6。只有3的9个策略预览内容，剩余文本的评估量，定期审查和/或迭代的总结，有不到60% agreement.ConclusionRead，理解，学习和Excel提供了概念证明，读者的方法来从事学术文本可以客观和自动捕获。讨论了临床意义和提高代码灵敏度的建议。补充材料https：doi.org/10.23641/asha.8204786
PurposeAn important predictor of postsecondary academic success is an individual's reading comprehension skills. Postsecondary readers apply a wide range of behavioral strategies to process text for learning purposes. Currently, no tools exist to detect a reader's use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository text.MethodAn iterative design was used to develop the computer algorithm for detecting 9 reading strategies. Twelve undergraduate students read 2 expository texts that were equated for length and complexity. A human observer documented the strategies employed by each reader, whereas the computer used digital sequences to detect the same strategies. Data were then coded and analyzed to determine agreement between the 2 sources of strategy detection (i.e., the computer and the observer).ResultsAgreement between the computer- and human-coded strategies was 75% or higher for 6 out of the 9 strategies. Only 3 out of the 9 strategies–previewing content, evaluating amount of remaining text, and periodic review and/or iterative summarizing–had less than 60% agreement.ConclusionRead, Understand, Learn, & Excel provides proof of concept that a reader's approach to engaging with academic text can be objectively and automatically captured. Clinical implications and suggestions to improve the sensitivity of the code are discussed.Supplemental Materialhttps://doi.org/10.23641/asha.8204786