This document presents the first version of the MaTHiSiS learning analytics. Affect cues are inputs into a comprehensive multi-modal fusion algorithm which uses a multi-layered approach and comprehensive genetic algorithm to classify leaner affect state in a summative view of “Bored”, “Frustrated” or “Engaged” with a corresponding confidence rate. Learner progression through the learning material is displayed through learning analytics. Summative information from the learner profile of the previous engagements of the learner with similar material, are visualized in graphs in the backend of MaTHiSiS. The visualization of learning analytics allows teachers and carers to monitor their learners, through different learning materials and in different classrooms.