Carlotta Schatten and Lars Schmidt-Thieme’s (UHi) paper, ‘Adaptive Content Sequencing without Domain Information’, has been submitted and accepted.

The paper shows that a performance prediction method can be used to sequence contents without domain engineering/authoring effort, ameliorating sequencing over common domain informed strategies. Moreover, if a synthetic learning process can be modelled in a plausible way in order to facilitate preliminary testing with sequencing.

In conclusion, the paper shows that Matrix Factorization is able to deal with all the important actual problems of Intelligent Tutoring Systems: personalization, multiple skill content modelling, and difficulty.