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Literacy. v. t. e. Fountas & Pinnell reading levels (commonly referred to as "Fountas & Pinnell") are a proprietary system of reading levels developed by Irene Fountas and Gay Su Pinnell and published by Heinemann to support their Levelled Literacy Interventions (LLI) series of student readers and teacher resource products. [1]
"The Flesch–Kincaid" (F–K) reading grade level was developed under contract to the U.S. Navy in 1975 by J. Peter Kincaid and his team. [1] Related U.S. Navy research directed by Kincaid delved into high-tech education (for example, the electronic authoring and delivery of technical information), [2] usefulness of the Flesch–Kincaid readability formula, [3] computer aids for editing tests ...
A rendition of the Fry graph. The Fry readability formula (or Fry readability graph) is a readability metric for English texts, developed by Edward Fry. [1] The grade reading level (or reading difficulty level) is calculated by the average number of sentences (y-axis) and syllables (x-axis) per hundred words. These averages are plotted onto a ...
In linguistics, the Gunning fog index is a readability test for English writing. The index estimates the years of formal education a person needs to understand the text on the first reading. For instance, a fog index of 12 requires the reading level of a United States high school senior (around 18 years old).
The automated readability index (ARI) is a readability test for English texts, designed to gauge the understandability of a text. Like the Flesch–Kincaid grade level, Gunning fog index, SMOG index, Fry readability formula, and Coleman–Liau index, it produces an approximate representation of the US grade level needed to comprehend the text.
v. t. e. In the United States, academic grading commonly takes on the form of five, six or seven letter grades. Traditionally, the grades are A+, A, A−, B+, B, B−, C+, C, C−, D+, D, D− and F, with A+ being the highest and F being lowest. In some cases, grades can also be numerical. Numeric-to-letter-grade conversions generally vary from ...
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