While hierarchical machine learning approaches have been used to classify texts into different content areas, this approach has, to our knowledge, not been used in the automated assessment of text difficulty. This study compared the accuracy of four classification machine learning approaches (flat, one-vs-one, one-vs-all, and hierarchical) using…

Reading is an indispensable skill for learners who desire success throughout their academic lives, and vocabulary knowledge is a sine qua non companion of reading comprehension. Despite being inextricably related entities, very little has been written about the necessary vocabulary coverage to understand an expository text and its equivalent in…

Using a single-subject reversal design, this study evaluated the use of a compare-contrast strategy on the ability of students with autism spectrum disorder to comprehend science text. Three middle school students with high-functioning autism and their teacher participated in this study. A content analysis comparing the number of meaning units in…