Leesradar Plantyn «Works 100%»

To assess the progress in reading comprehension using Leesradar’s adaptive digital exercises.

De daling van de leesvaardigheid bij Vlaamse scholieren is een groeiende bezorgdheid binnen het onderwijsveld. Begrijpend lezen is echter een complex proces; een lage score op een traditionele leestoets onthult zelden waarom een leerling vastloopt. leesradar plantyn

| Step | Description | |------|-------------| | | • Teachers select a grade‑appropriate test battery (30–45 items). • Tests are delivered via tablet or PC; time‑stamped responses captured. | | 4.2. Scoring Engine | • Uses a combination of Item‑Response Theory (IRT) models and machine‑learning classifiers to adjust for difficulty and guess‑rate. • Scores are normalised to the national reference population (N = 1.2 M pupils, 2023 data). | | 4.3. Radar Visualisation | • Five axes represent the core domains; each pupil’s performance plots a polygon that can be compared to class averages or benchmark targets. | | 4.4. Recommendation Algorithm | • Based on the pattern of deficits, the system selects from a library of ≈ 300 digital and printable interventions (e.g., phonics games, guided reading texts). | | 4.5. Data Export & Integration | • API endpoints allow export to LMS, SIS (Student‑Information Systems), or national “Leespunt” dashboards. | | 4.6. Security & Privacy | • End‑to‑end encryption; parental consent stored per GDPR Article 9 (special category data). • Anonymised data can be used for research (opt‑in). | To assess the progress in reading comprehension using

– Cloud‑based architecture and GDPR‑compliant data handling make the system scalable across the Dutch school system . The partnership with BrightLearn BV provides commercial support for updates and localisation (e.g., for Flemish schools). | Step | Description | |------|-------------| | |

[Insert date] School: [Insert school name] Class/Year: [e.g., 5th grade] Period covered: [e.g., September – March]