E-Learning and Affective Studentâ??s Profile in Mathematics

Abstract

This paper is concerned with the personalisation of teaching/learning paths in mathematics education. Such personalisation would exploit the research results on the connection between the affective experience of the student learning mathematics and his/her success or failure in mathematics, which produces the learnerâ??s attitude towards mathematics. We present a model for the learnerâ??s affective profile in mathematics, which would extend the current user profile in an e-learning platform taking into account the learnerâ??s attitude, to be used in order to offer and manage a Unit of Learning in mathematics better tailored on the global studentâ?? needs. Tools for the implementation of the model in an e-learning platform have been devised. Activities templates suitable to various attitudes towards mathematics have been designed and their experimentation is in progress.