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Innovation
Educational
(IA)²

Artificial Intelligence to help apprentices continue their post-baccalauréat studies

Contents

An innovative project to meet
the needs of the building and public works sector

At the same time, the further study in higher education remains insufficient to meet these needs. Visit Normandy, region where BUILDERS School of Engineering, only 75.4 % of new baccalaureate holders continue their studies, against 77.1 % at national level. The region ranks among the least educated in Mainland France, according to the report STRATER.

A high drop-out rate
in building and civil engineering training

The survey Céreq Generation reveals an alarming rate of 27 % of school leavers without qualifications in the construction sector, against 13 % in other sectors. These include, 60 % are apprentices, This figure is much higher than for training courses outside the building and public works sector (17 %). This phenomenon of school dropout leads to termination of contracts and penalises young people as much as companies looking for skills.

 

With a variety of routes (professional, technological and general baccalaureate, BTS, Bachelors, professional licences, ATS preparatory courses, etc.), apprentices have heterogeneous skill levels, There are three major risks:

  • A barrier to further study
  • Academic difficulties
  • A risk of failure or abandonment

(AI)² - Artificial Intelligence for Individualised Learning

The project (IA)² aims to use Artificial Intelligence technologies to optimise’learner learning, improve their academic success and facilitate further studies. Three main areas have been identified:

 

1. The challenges for apprentices

  • Facilitating’entry to higher education or the further studies, regardless of initial level (Bac to Bac+3)
  • Helping to student reorientation after a Bac+1 to Bac+3
  • Fighting against school dropout in Bachelors courses and building and civil engineering courses

 

2. Issues for training organisations (OF-A)

  • Increase the number of apprentice graduates from Bac+3 to Bac+5 level
  • Supporting trainers in the management of classes with different levels
  • Improving individualised educational support apprentices

 

3. Challenges for companies and the construction industry

  • Reducing termination of apprenticeship contracts related academic difficulties
  • Train a greater number of managers and senior technicians to respond to recruitment needs sector

AI and Adaptive Learning
for training in the building and civil engineering sector

Thanks to advances in Artificial Intelligence, the project (IA)² focuses on’Adaptive Learning, an approach that makes it possible to :

  • Personalising learning paths according to students' needs
  • Reducing the length of training courses while maximising’educational effectiveness
  • Adapting to heterogeneous profiles and improve learner motivation

 

Research into Cognitive Sciences have made it possible to identify good teaching practice to optimise’learning, by integrating adaptive e-learning modules and suitable teaching resources the needs of trainers and students.

Expected results of the project

The project (IA)² aims to develop :
- Training in teaching methods to support trainers
Adaptive learning paths, in basic sciences, construction techniques and english
- A guide to good practice, to facilitate the implementation of this approach with OF-A

A project supported by the CCCA-BTP

The project (IA)² receives funding from 50 % by CCCA-BTP, on a overall budget of €253,080, This is a clear sign of the sector's commitment to innovation in the field of health. training future construction engineers and technicians.

 

BUILDERS School of Engineering is embarking on a innovative educational transformation, by exploiting AI technologies to improve’learning, optimise academic success and meet the challenges of BTP of tomorrow.