Adapting to students’ affective states

How does iTalk2Learn enhance students’ learning experiences with feedback adaptation? We at Birkbeck and IOE are very interested in finding out how feedback can be adapted in line with students’ affective states. The task-independent support within the iTalk2Learn platform is able to tailor feedback types, as well as presenting feedback according to the affective state of the given student.…

italk2learn member presenting project at conference

iTalk2Learn crosses the European borders

What’s behind the correct evaluation of Machine Learning based sequencers? The iTalk2Learn consortium has recently been discussing the correct evaluation of Machine Learning based sequencers. Such evaluation requires large data availability, large-scale experiments and consideration of different evaluation measures. Such constraints make the construction of ad-hoc Intelligent Tutoring Systems (ITS) unfeasible and impose early integration in already existing…

iTalk2Learn intelligence platform

What is behind iTalk2Learn intelligence?

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…

Exercise from Year 6 - Percentages

Collecting voice recordings from Whizzers in London

iTalk2Learn has opened our eyes to new possibilities by highlighting the influence of emotion and speech in students’ learning. One of core differentiators at Whizz Education (Whizz) is the ability to engage students in the learning process using diverse, interactive content. The ability to detect and respond to students’ affective states will make the Whizz platform…