Which approach uses a grid to compare attributes of vocabulary concepts to enhance comprehension?

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Multiple Choice

Which approach uses a grid to compare attributes of vocabulary concepts to enhance comprehension?

Semantic Feature Analysis uses a grid to map and compare attributes of different vocabulary concepts, helping students see how words relate and differ. In this approach, you place the target terms along one axis and a set of features or attributes along the other. Students indicate which features apply to each term, creating a visual map of meaning. This explicit comparison makes semantic relationships—like which words share a category, function, or characteristic—clear, so learners can reason about unfamiliar terms and integrate new vocabulary into their existing knowledge. While anticipation guides prompt pre-reading predictions, context clues rely on surrounding text for meaning, and syntactical cues focus on grammar or word form; none of these use the grid-based comparison of multiple word attributes that semantic feature analysis provides.

Semantic Feature Analysis uses a grid to map and compare attributes of different vocabulary concepts, helping students see how words relate and differ. In this approach, you place the target terms along one axis and a set of features or attributes along the other. Students indicate which features apply to each term, creating a visual map of meaning. This explicit comparison makes semantic relationships—like which words share a category, function, or characteristic—clear, so learners can reason about unfamiliar terms and integrate new vocabulary into their existing knowledge. While anticipation guides prompt pre-reading predictions, context clues rely on surrounding text for meaning, and syntactical cues focus on grammar or word form; none of these use the grid-based comparison of multiple word attributes that semantic feature analysis provides.

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