What models focus on analyzing words letter-by-letter to comprehend text meaning?

The correct answer is based on the understanding of how reading comprehension can be approached through the analysis of letters and their combinations within words. Data-Driven Models specifically emphasize the role of sensory information and the direct analysis of letters and sounds in the process of reading. This model suggests that readers decode individual letters and phonemes before assembling them into meaningful words, which is crucial for understanding the text.

This letter-by-letter focus is essential for early readers who are learning to associate sounds with letters, ultimately aiding in their overall reading fluency and comprehension. In this framework, emphasis is placed on the fundamental building blocks of language, which readers use to derive meaning from text.

In contrast, other models may focus on the broader context of language or text rather than the detailed analysis of individual letters and sounds. For instance, the Concept-Driven Models lean more toward the understanding of meanings built from context rather than from the letters themselves. Reciprocal Teaching involves interactive strategies that help students build comprehension through social learning rather than starting with decoding at the letter level. The Phonics Approach does include elements of sound-letter relationships but is not precisely framed as a model that analyzes every letter in isolation like Data-Driven Models do. Thus, Data-Driven Models distinctly capture the essence of letter