Towards Psychologically based Personalised Modelling of Emotions Using Associative Classifiers

Preliminaries

Adaptive learning aims to meet individual learning needs and improve learning efficiency and the level of achievement by providing personalized tutoring which considers individual abilities, interests, needs, learning styles or other data that deemed to be a factor. To provide this type of service, systems collect information about learners that is then used to meet their specific needs e.g. adequate contents to the user’s preferred learning method. The same knowledge can be used to adapt the user interface, to decide on the most suitable input/output devices to be used, to establish an incremental cognitive path, to provide appropriate feedback to the student, or to issue recommendations. However, the system’s ability to provide adaptive learning is limited by the interpretation of the user’s information.