Abstract

This study aims to develop a semiotic declarative knowledge model, which is a positive constructive behavior model that systematically facilitates understanding in order to ensure that learners think accurately and ask the right questions about a topic. The data used to develop the experimental model were obtained using four measurement tools applied to the participants’ efforts teaching science to 1st-graders. The data were digitized using the probability and possibility calculation statistics for data variables (VDOÄ°HÄ°) technique and statistics calculated by package software developed for use with this technique. The results show that prospective teachers’ levels of declarative knowledge of magnetism and achievement using that knowledge were low. In order to improve the knowledge and achievement of prospective teachers in a given learning system, models that develop semiotic and related features of knowledge should be adopted and used effectively in the learning process. Accurate thinking for problem solving can be achieved by using evaluation and control mechanisms consciously in the learning process.

Key words: Control mechanism, evaluation mechanism, learning systems, problem-solving techniques, semiotic declarative knowledge model.