Researchers have demonstrated a much-needed shift in pedagogical practices to incorporate literacy strategies. This dissertation provides additional empirical evidence to expand the body of research by utilizing a comparative readability analysis that examines the academic language of a popular calculus textbook. A sample from the published…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

The relationship between content readability measures and mathematics test item difficulty was measured. An attempt was made to use readability to predict item difficulty. Results from the study are noted as somewhat discouraging, with only about 11 percent of the item difficulty variance explained by the selected readability measures. (MP)

Explains why applying a readability formula to a content text is not enough to determine whether a student can read and understand the book. (MKM)

Two readability formulas were applied to two math and two reading series textbooks at the fourth, fifth, and sixth grade levels to see whether the publishers' suggested reading levels were accurate. Five samples were taken from each text and compared to the publishers' suggested usage according to grade level. Results showed that although formulas…