True comprehension requires students to activate prior knowledge, follow evidence, hold multiple ideas in mind, and connect what they read to what they already know. Most digital tools skip the process and grade only the outcome.
Every Smart-Reader session builds comprehension the way teachers do it: an essential question frames the reading, sections pause for close-reading prompts, vocabulary is pulled from the actual text with usage examples, and AI feedback deepens the student's reasoning instead of replacing it.
Every reading opens with a big question that frames the whole passage.
Literal recall, inference, and evaluation — every session, every text.
Words defined inside the passage, with example sentences students write themselves.
AI asks 'where in the text?' before agreeing — building the habit of citing evidence.
Support for struggling readers; depth for advanced students. Same interface, same expectations.
Articles, primary sources, novel chapters, poetry — Smart-Reader adapts.
By scaffolding the reading process — activating prior knowledge, pausing for close-reading questions, teaching vocabulary in context, and asking students to reason before providing feedback.
Yes. Read-aloud with highlighting, vocabulary support, and staged questions meet struggling readers where they are and build confidence.
Yes. The literal, inferential, and evaluative question types mirror the reading skills tested on state and national assessments.