LEA: The Learning Technology Accelerator
LEA aims at reforming traditional educational systems and help to achieve better learning results for students.
Education as a fundamental pillar of Europe is included as a crucial aspect in European policies. LEA embraces this mind-set by building experience and by using innovation procurement as a mean to accelerate the development of learning technologies. These new technological solutions, discovered and developed through innovation procurement, enable students to learn in a more individualised way tailored exactly to their specific needs. LEA’s approach will result in better learning outcomes for students and modern, welcoming learning environment.
Aligned with the experience gathered on the participation of IMAILE (Innovative Methods for Award Procedures of ICT learning in Europe) — the first Pre-Commercial Procurement project in Europe in the field of Education and Technology — LEA’s main goals are to accelerate knowledge transfer, dialog and awareness raising of innovative procurement within the learning technology sector.
In order to achieve these goals, LEA conducts a needs analysis to identify common needs, prepares the first cross-border European PPI (Public Procurement of Innovation) and a PCP (Pre-Commercial Procurement), facilitates the dialogue between the demand and supply sides and raises awareness about the many benefits of innovation procurement.
LEA consortium is constituted by procurers and expert organisations from 9 EU member countries, in a total of 17 partners. INOVA+ is the partner responsible for:
- Design and implement capacity building events on PPI and PCP, with the necessary support materials to promote knowledge transference and enlarge the network of procurers;
- Prepare the soil for future PCP and PPI processes, building the terms of reference for future public procurement processes (PCP and PPI) based in innovative approaches;
- Prepare scenarios and business cases and transforming challenges into technical requirements.
LEA (project no. 779803) is funded by H2020 Programme of the European Commission.