1. Drzewo
- Nauczyciel rozdaje dzieciom podstawki z mąką lub białe kartki z kropelką farby plakatowej. Pierwsza recytacja wierszyka
odbywa się z pokazem nauczyciela.
- Zadaniem dzieci jest wsłuchać się w słowa wierszyka i przy kolejnej recytacji, rysować palcem to, o czym mówi nauczyciel (przykładowy obrazek poniżej).
- Zadanie jest przygotowaniem do „rysowania” palcem na tablecie w interfejsie Photon Draw.
Katarzyna Dardzińska
„Drzewo”
Narysujmy kreski dwie,
z dołu, w górę - robi się.
Teraz „łezki”, jest ich wiele,
dalej, żwawo przyjaciele.
Dwie kreseczki w prawo, w lewo
i powstało piękne drzewo.
![drzewo.png](data:image/jpeg;base64,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)
- Nauczyciel pyta dzieci:
- Gdzie jest najwięcej drzew? (las)
- Jakie drzewa można spotkać w lesie? (topola, klon, sosna, brzoza, dąb grab, jesion, lipa, wiąz, świerk, itd.)
- Jakie zwierzęta żyją w lesie? (dzik, sarna, lis, wilk, zając, itd.)
- Co można zbierać w lesie? (grzyby, maliny, jagody, poziomki, itd.)
2. Rysujemy leśny szlak
- Nauczyciel rozkłada na macie edukacyjnej karty z atrybutami lasu: dzik, sarna, borowik, maliny, topola, sosna (załącznik nr 1).
- Każe dziecko otrzymuje taki sam zestaw kart (można wydrukować w mniejszym formacie).
- Po kolei jedno z dzieci wybiera 3 karty. Samo układa je w konfiguracji znanej tylko sobie (i nauczycielowi w celu weryfikacji). Następnie programuje drogę robota w interfejsie Photon Draw, tak aby przejechał on od pierwszej do trzeciej fiszki wg. wymyślonej wcześniej koncepcji.
- Reszta dzieci śledzi już jadącego robota i układa na dywaniku jego drogę w postaci kolejnych kart, które przejechał, zaczynając od lewej strony.
3. Odpoczynek na leśnym runie
- Odpoczynek podczas słuchania odgłosów lasu np. z płyty CD.