Project description
Transforming teaching methods with computational modelling
Teaching is a complex method of knowledge transfer from individuals, and recent advances in computational modelling offer the potential to enhance pedagogy. However, applying computational teaching models to goal-oriented behaviour remains a challenge. With the support of the Marie Skłodowska-Curie Actions, the COMPTEACH project seeks to bridge this gap by exploring how pedagogical knowledge can be transferred using computational methods. This involves integrating cognitive science, psychology, Reinforcement Learning, and Natural Language Processing. The project aims to connect teaching, cognitive science, social psychology, and computational modelling. It maintains a socio-cognitive foundation while adopting a computational approach to teaching.
Objective
Teaching is one of the most complex and efficient forms for social learning, as it largely mitigates the costs of individual learning through the capitalization of others’ experiences. However, while recent efforts have shed considerable light into how human learning is computationally modeled, very little is known about how human teaching can be computationally implemented in the context of goal-directed behaviours. COMPTEACH is an innovative research program conceived to bridge this gap by combining cutting-edge methods in cognitive science, experimental and social psychology, with state-of-the-art techniques from Reinforcement Learning (RL) and Natural Language Processing (NLP). It aims at understanding the computational makeup of pedagogical knowledge transfer between experienced learners (teachers) and novel naive learners (pupils). COMPTEACH will first identify actors’ choice strategies (as indexed by model parameters) and evaluate the extent to which pedagogical texts crafted by teachers and addressed to pupils lead to meaningful parameter correlations between the two. Secondly, the action will implement
NLP tools to identify how the teachers' own computational strategies are encoded in the semantic and syntactic structures of pedagogical texts. Finally, the project will study how the teachers’ own learning process and metacognitive features affect knowledge transfer. By tackling teaching from a computational perspective without losing sight of its socio-cognitive underpinnings, COMPTEACH will produce a novel quantitative understanding of experience transfer, and establish novel bridges between teaching, cognitive science, social psychology and computational modeling. Future directions of this project will involve studying knowledge transfer in individuals afflicted by lasting underlying health conditions, and the development of ecological experiments to approach teacher-student and doctor-patient real-world interactions.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
75230 Paris
France