Open a student reading report to replay sentences, mark miscues manually, watch WCPM and accuracy update, run AI analysis when you want a second pass, and keep teacher feedback with the assessment record.
Student Reading Reports are the evidence layer for one assessment. They keep playback, scoring, AI analysis, manual markings, and teacher feedback together so a single student read can be reviewed carefully before it becomes part of the broader progress record.
Try the controls below to get a feel for the workflow. This is a fake UI for demonstration, and it may not match the real product exactly. If you want to use the real workflow, sign up and try it in the app.
Run AI analysis to add sentence-level markings and a second-pass summary without replacing teacher judgment.
Replay one sentence at a time and tap words to mark missed or mispronounced reads while the report stays in view.
In good recording conditions, automated scoring is often above 95%, but teachers can still review the analysis and keep overrides where judgment matters most.
When a student needs closer review, finish the report with sentence playback, teacher edits, and written notes in the same place.
Workspace Reports show how assigned assessments come together across students, groups, passages, and time ranges so teams can review trends, averages, percentiles, ROI, and goal gaps.
See Workspace ReportsOpen ReadingFluency.app to create passages, track scores, and keep every fluency check in one place.
Teachers can replay sentence-level audio, mark miscues manually, review WCPM and accuracy updates, add notes, and keep the final assessment evidence together in one place.
In ideal recording conditions, our internal metrics show scoring accuracy above 95%, and many teachers report accuracy in that range in typical classroom use. Results can vary depending on background noise, microphone and device quality, and the language being assessed. English generally performs best in good conditions, followed by Spanish, French, and then Mandarin. We are also constantly evaluating the AI model we use and adopting newer advances in AI, so we expect this performance to keep improving over time.
AI scoring analyzes the recorded read against the passage, marks likely miscues, and calculates reading rate and accuracy. The report keeps the recording, sentence-level review, manual marking, and teacher notes together so the AI result can be checked before it is used.
No. AI in ReadingFluency.app is designed as an optional second pass. Teachers can review the analysis, keep manual overrides, and make the final judgment themselves.
Yes. Teachers can listen back, change miscue markings, keep manual overrides, and add notes before treating the report as the final record.
Yes. ReadingFluency.app supports playback plus manual marking so teachers can verify what happened in the student read instead of relying on a black-box summary alone.
For a student with a speech or articulation disability, automated scoring should be reviewed by a teacher rather than used on its own for decision-making. Sentence-level playback and manual marking are built in so staff can listen back and catch scoring issues before finalizing the report.
A simple way to check performance is to record an adult in the same room setup, with the same device, microphone, and assessment language the school plans to use. That gives the team a more realistic sense of how the system performs in their own conditions.