We present the design and development of the ISIM_MotionCapture, a Java application for 2D gesture recognition, that can be used, also in daily light condition, with an efficiency of about 83%.
In this paper we present a comparative study on the efficiency of the quantitative concept map evaluation -QCMP-performed in a primary school. Using Maptool we analyzed in a quantitative way the transformation of the concept map performed while delivering a didactic module on the human body. We have therefore compared the results of the analysis with those obtained from a traditional summative test based on a multiple choices questionnaire. Using this comparative analysis we were able to individuate an indicator that can be worked out in a self-consistent manner from the concept maps and that appears to be correlated to the results obtained from the summative test.
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