Partnership for Innovation and Artificial Intelligence (P2IA) – French

Dates and durations

  • Phase 1 :
    • 12 months (+ 3 months extension)
    • November 2019 – February 2021
  • Phase 2 :
    • 6 months
    • February 2021 – August 2021

Actors of the project

  • Learn & Go
  • Institut de Recherche Informatique et Systèmes Aléatoires (IRISA) – Intuidoc (INSA) and Expression (Rennes 1 University) laboratories
  • Institut Supérieur du Professorat et de l’Education – Bretagne (INSPE)
  • Laboratoire d’Observation des Usages des Technologies de l’Information et de la Communication (LOUSTIC)
  • Rennes 2 University
  • Academy of Rennes
  • Academy of Nancy-Metz
  • Academy of Orléans Tours

Presentation of the partnership

The objective of the P2IA project (Partnership for Innovation and Artificial Intelligence) launched by the Ministry of Education,  is to develop a teaching assistant based on artificial intelligence, intended for teachers and pupils in cycle 2.

In this context, the French P2IA project aims to develop artificial intelligence solutions to help learning French (writing and spelling).

The Kaligo Cycle 2 solution developed by LEARN&GO, INSA-IRISA, University of Rennes 2, LP3C and UR1-IRISA, is one of the solutions chosen to help learning French (writing and spelling), for phase 1 (Research and Development) and phase 2 (Industrialisation).

Role of the Intuidoc team

In this project, the Intuidoc team is responsible for the design and development of the artificial intelligence engine for the automatic analysis of handwriting of CP, CE1 and CE2 students.

This work is based on an improved version of the handwriting analysis engine developed by the Intuidoc team, notably in the context of the Intuiscript project, optimised by the Labcom Script & Labs and integrated in the Kaligo application of the company Learn & Go.

The objective is :

  • to  improve this artificial intelligence engine in order to allow a fine analysis of writing in a dictation context, i.e. a morphological, orthographic and phonological analysis of the child’s handwriting.
  • to generate relevant feedbacks to the child allowing him/her to identify his/her mistakes.
  • to extend the analysis to groups of words and short sentences.

 

Examples of feedback generated by the morphological, orthographic and phonological analysis engine.

IntuiDoc team researchers and engineers involved in the project

More information:

Presentation of the P2IA project by the Ministry of Education:
https://eduscol.education.fr/1911/partenariat-d-innovation-et-intelligence-artificielle-p2ia
Kaligo Companion website: https://kaligo-cycle2.com/