I have found that when
using expository or information text during content area instruction, students
complain about the difficulty level and the dryness of the text; this is
consistent with what was stated in the text, slideshows, and video segments
from Module 1. But now more than ever, thanks to the implementation of the
Common Core standards, we are expected to integrate reading and language arts
instruction into content areas using a variety of informational texts.
In chapter 14 of the Vacca
text, the importance of selecting non-fiction text based on the factors that
contribute to the difficulty level is stressed. These factors may be
text-based, such as the vocabulary, text structure, and background knowledge
provided, or they may be reader based, such as the linguistic capabilities and
native language of the reader. For these reasons, it is necessary to assess a
text’s readability using a formula such as Fry’s Readability graph, illustrated
on p. 462, to obtain an estimate of the most appropriate reading level of the
reader.
Because
I teach a kindergarten class of students with special needs, many of the
materials we use are teacher adapted to include more visuals and interactive
components for the students. Using the Fry Readability Test, I analyzed the
reading level of an adapted book that I use when I read with my students about
Groundhog Day. I found that due to the average length of sentences, 7.5
sentences for 100 words, and the average number of syllables, 110 per 100 words,
the adapted text is on a second grade reading level. Because of the nature of
the text being analyzed, and that it is a short, single text on a single topic,
the portions of the Irwin-Davis Readability checklist related to text structure
and teacher’s manual do not really apply. One area where the text could be
improved is to add the verbal questions that are asked by the teacher to a section
of the book and create space for summaries of the text. One specific area where
the text is strong is the use of iconic aids such as illustrations and visuals.
However, the limitations
of such readability assessments must be recognized, most of the assessments
only take into account word length and sentence complexity. None of the
reader-based factors such as motivation and culture that also contribute to
text difficulty are accounted for.
Because I understand the
motivation to read fiction texts over non-fiction, I greatly enjoy integrating
both types of text into content area learning; accessing both allows students
to build schema and vocabulary, and motivates them to engage with the content.
The models provided in the Vacca text provide a framework for implementing
instruction using literature with non-fiction. Applying these frameworks and
providing students with the appropriate strategies and tools for the specific type
of text increases the chances for success with this model.