Leesradar Plantyn

| Area | Action | Rationale | |------|--------|-----------| | | Conduct a 3‑year longitudinal study across primary‑ and secondary‑levels, including multilingual learners. | To confirm durability of gains and broaden applicability. | | 7.2. Offline capability | Develop a synchronised offline module (data cached locally, uploaded when connectivity restored). | Addresses the main user‑experience pain‑point and expands reach to rural schools. | | 7.3. Teacher professional development | Offer certified micro‑credential courses (e‑learning + in‑person workshops) on interpreting radar graphs and selecting interventions. | Increases fidelity of implementation and maximises impact. | | 7.4. Integration with national assessment | Align the platform’s scoring scales with the CITO and Leespunt national benchmarks. | Facilitates cross‑system reporting and eases adoption by school boards. | | 7.5. Pricing model review | Introduce a tiered subscription (basic free tier for small schools, premium for full analytics). | Lowers entry barriers and may accelerate market penetration. | | 7.6. Data‑sharing for research | Create an opt‑in anonymised data pool for academic researchers (subject to ethics approval). | Generates external validation and enhances the platform’s evidence base. |

| 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). | leesradar plantyn

Leesradar by Plantyn is an effective digital reading comprehension tool, especially when combined with direct reading instruction. | Area | Action | Rationale | |------|--------|-----------|

Het project achter LeesRadar (oorspronkelijk ontwikkeld onder de projectnaam Sleutel 6 ) is gefundeerd op de wetenschappelijke inzichten uit de Praktijkgids Sleutels voor effectief begrijpend lezen . Het doel van de tool is om het leesproces te deconstrueren, zodat leerkrachten de exacte oorzaak van een leesprobleem kunnen opsporen en aanpakken. LeesRadar van Uitgeverij Plantyn Offline capability | Develop a synchronised offline module

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

Option 2: For School Leaders (Focus on Quality & Implementation)