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<strong>International</strong> <strong>Teacher</strong> <strong>Education</strong> <strong>Conference</strong> <strong>2014</strong><br />

group replied to the instruction “Test whether the model you have elicited is correct or not by using real data.” as<br />

such:<br />

Operations carried out by Group 4 during the model validation process<br />

As in the case of groups 3 and 6, group 4 elicited a linear model by using the data of 2009 and 2010 and tried<br />

to validate the model by considering the year 2011. The analysis of the video records of this process shows that<br />

there were such conversations among students in the group:<br />

G4-A: Sooo...It’s 3766.<br />

….G4-B is checking the real data….<br />

G4-B: But it should be 3835????<br />

G4-A: So it is wrong.<br />

G4-C: Professor. But our model is wrong. What is going to happen now?<br />

As seen here, the pre-service teachers in this group think their model is wrong since it does not yield the real<br />

result. These students have the misconception that the model that does not yield the exact result is wrong.<br />

CONCLUSIONS<br />

In terms of the importance of validation for the model eliciting process, it is crucial for pre-service math<br />

teachers, who will raise students that have modeling competences, to have this competence. But as a result, it<br />

was determined that pre-service math teachers have “ model can be validated by data which elicited the model”,<br />

“it is enough to validate a model with a single data", “model which does not yield the exact result is wrong“<br />

misconceptions. In this context, when these misconceptions are considered, discussions are made at the end of<br />

validation processes, it can be attempted to make students capable of validation is “determining the degree to<br />

which a model is an accurate representation of the real world from the perspective of the intended uses of the<br />

model (AIAA, 1998)”<br />

Also, competencies to validate the solution is include sub-competencies as following; competency• to<br />

critically check and reflect on found solutions; • to review some parts of the model or again go through the<br />

modelling process if solutions do not fit the situation; • to reflect on other ways of solving the problem or if<br />

solutions can be developed differently; • to generally question the model (Blum & Kaiser 1997, p.9). In this<br />

context, designing learning environments to equip pre-service teachers with sub-competence expected to arise in<br />

the validation process can be recommended.<br />

In addition, this study focuses on the validation process, which is a part of the modelling process. Studies on<br />

processes that arise during the modelling process such as simplifying, mathematizing, working with<br />

mathematics, interpreting can be carried out. Considering outcome this studies, effective teacher training<br />

courses need to be developed which are connected to teachers’ needs and add to their knowledge as well as<br />

support the necessary competencies and understandings.<br />

REFERENCES<br />

AIAA, (1998). Guide for the Verification and Validation of Computational Fluid Dynamics Simulations, G-077-<br />

1998.<br />

Berry, J. & Houston, K. (1995). Mathematical modeling. London: Edward Arnold.<br />

Blomhøj, M. & Jensen T.H. (2006). What’s all the fuss about competencies? Experiences with using a<br />

competence perspective on mathematics education to develop the teaching of mathematical modelling. In W.<br />

Blum, P.L. Galbraith and M. Niss: Modelling and Applications in Mathematics <strong>Education</strong>. New York: Springer,<br />

2(2), 45-56.<br />

Blum, W. & Leiß, D. (2007). How do students and teachers deal with modelling problems? In C. Haines et al.<br />

(Eds), Mathematical Modelling. <strong>Education</strong>, Engineering and Economics. Chichester: Horwood. 222-231.<br />

464

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