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

Giovannina Albano, Rossella Ascione


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.


e-learning, user profile, mathematics education

Full Text:


Copyright (c) 2017 Giovannina Albano, Rossella Ascione

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
Scopus logo Clarivate Analyatics ESCI logo EI Compendex logo IET Inspec logo DOAJ logo DBLP logo Learntechlib logo EBSCO logo Ulrich's logo Google Scholar logo MAS logo