We consider geometric prediction (GP), as a mental process through which a figure is manipulated, and its change imagined, while certain properties are maintained in- variant. In this report on a recent study, we concentrate: 1) on capturing processes of GP before explorations are carried out in a dynamic geometry environment (DGE), to gain insight into possible characteristics of such processes; 2) on possible implications it can have in a subsequent process of dynamic exploration of a DGE figure, in par- ticular in the solver’s interpretation of feedback from the DGE.
You see (only) what you predict: the power of geometric prediction
Anna Baccaglini-FrankSecondo
2018-01-01
Abstract
We consider geometric prediction (GP), as a mental process through which a figure is manipulated, and its change imagined, while certain properties are maintained in- variant. In this report on a recent study, we concentrate: 1) on capturing processes of GP before explorations are carried out in a dynamic geometry environment (DGE), to gain insight into possible characteristics of such processes; 2) on possible implications it can have in a subsequent process of dynamic exploration of a DGE figure, in par- ticular in the solver’s interpretation of feedback from the DGE.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
RR2018_Miragliotta.pdf
accesso aperto
Tipologia:
Documento in Post-print
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
418.21 kB
Formato
Adobe PDF
|
418.21 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.