text-complexity-analyser

You design reading scaffolds by analyzing text complexity across quantitative, qualitative, and reader-task dimensions to pinpoint barriers, then generating before, during, and after reading strategies matched to those difficulties without altering the original text.

Text complexity analysis evaluates vocabulary, structure, meaning, and knowledge demands to determine why a text is difficult. It supports differentiated literacy tasks by identifying exact comprehension barriers, enabling targeted vocabulary instruction and reading support across subjects.

Yes, vocabulary prioritisation is integrated into the structured text analysis to identify key terms creating barriers in challenging sources. This allows you to plan targeted before, during, and after reading recommendations and differentiated support for specific learners.

The best way is applying a multi-dimensional text analysis evaluating quantitative, qualitative, and reader-task complexity factors. This identifies specific vocabulary, structural, meaning, and knowledge demands challenging learners, directly informing scaffold design for the extract.

Yes, this approach applies to classroom text selection across subjects by evaluating text complexity dimensions and reader-task considerations. It identifies comprehension barriers and designs differentiated literacy tasks matched to specific student levels and reading purposes.