What do the prospective science teachers know about human eye?

The result of the WAT, the frequency of the PSTs’ words were grouped based on the just true propositions of the PSTs from highest to lowest frequency notwithstanding the wrong propositions of the PSTs. Preparing the networks cut-off point was taken as 0-7 below of the maximum number of the words were established correct link for the keywords (Bahar et al., 1999). The networks were used to comment about the understanding of related to the topic of the PSTs. The WAT data was analyzed qualitatively. The networks were composed of the data obtained from the WAT. The repetition frequencies of the PSTs’ words were calculated.
The data obtained from open ended questions with structure of human eye were analyzed descriptively, coded as True (T), Partial True (PT), Alternative Concepts (AC) and Blank (B) and its frequencies were calculated. The data obtained from open ended questions with the description and treatment of human eye defects were coded as True (T), Alternative Concepts (AC) and Blank (B) and its frequencies were calculated.
The data obtained from PSTs’ drawings on human eye defects and its treatments were analyzed descriptively. The data were coded as True Drawing (TD), Alternative Drawing (AD) and No Drawing (ND) themes and its frequencies were calculated. The quotations referring to the insufficient knowledge or alternative drawings of the PSTs were cited for the validity of the data.
The data obtained from the interview about concepts were analyzed contently. The PSTs’ statements were coded and these statements describing excerpts were presented. The PSTs who participated in the interviews about concepts were coded as A, B, C, D, E, F, G, H, I and J.