The aim of WP2 is to provide the iTalk2learn platform with intelligence that can guide students to maths mastery. But how can we make a machine intelligent? In order to answer the question, ‘how can we make a machine intelligent?’, we must first divide the problem into sub-problems. In the iTalk2Learn project, each sub-problem corresponds to a different component of the…
In Intelligent Tutoring Systems (ITS), Artificial Intelligence and Machine Learning are increasingly used as decision-making methods. Performance Prediction is one of their main subtasks whose final goal is to predict student performances and define the students’ competence in relation to specific skills. Adaptive sequencers take a student’s past performances into account in order to select…
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…