Rosengårdsmodellen är ett enhetligt arbetssätt som samtliga medarbetare på Rosengårdsskolan i Malmö följer. I klassrummen handlar allt om tydlighet och förutsägbarhet. Och strukturen är en kooperativ sådan, det vill säga att alla ska involveras och lyckas. Men detta arbetssätt är hyfsat nytt.
Hennes elever presterade bättre – Då ändrades skolans struktur
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Det var när rektorn på Rosengårdsskolan i Malmö märkte att en av lärarna uppnådde högre betyg med pojkar än vad övriga lärare gjorde, som en kooperativ struktur implementerades.
– Det är viktigt att lära sig av analysen, säger läraren Sofie Nilsson.

Rosengårdsskolan i Malmö. Foto: Malmö stad
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– Modellen kan låta lite hård, men den är väldigt flexibel inom sina ramar, och det är ju trots allt beprövade metoder, säger Sofie Nilsson, lärare i svenska som andraspråk och samhällsorienterade ämnen.
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


