The AffecTeach project aims to investigate the effects of computer based affective recommendation systems on teachers' cognitive-emotional development.
Within the AffecTeach project, a teacher training simulator will be developed. Teacher trainees will be able to practice their practicum hours with virtual students that can react according to the emotional and cognitive stances of the teacher. It is aimed to collect and analyse the generated data to explore how such training activities can best contribute to the professional development of teacher trainees by giving them objective performance feedback.
The project is composed of 4 technical objectives: Preparing student talk schemes based on the analysis of classroom recordings; Automatically recognising teacher's emotional and cognitive responses via multi-modal data processing; Constructing the simulator and integrating with the former modules; Implementing a recommendation/feedback system for teachers' professional development and its testing.
This project is supported by an Institutional Links grant, under the Newton-Katip Celebi partnership. The grant is funded by the UK Department of Business, Energy and Industrial Strategy (BEIS) and TUBITAK and delivered by the British Council. The partners are Loughborough University London (Institute for Digital Technologies) and Hacettepe University (Department of Computer Education and Instructional Technology). SimSoft Ltd from Turkey is an associated partner of the project, providing the base teacher training simulator to the consortium.
This is a two-year project starting on 12 February 2018.
About the Newton Fund
The Newton Fund builds research and innovation partnerships with 18 partner countries to support their economic development and social welfare, and to develop their research and innovation capacity for long-term sustainable growth. It has a total UK Government investment of £735 million up until 2021, with matched resources from the partner countries.