LEA LEARNING TECHNOLOGY ACCELERATOR

Summary

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Based upon the finding from IMAILE PCP of Innovative STEM/PLE (www.imaile.eu), the project LEARNTECH ACCELERATOR ( LEA) will take a quantum leap from being one standalone project to critical mass of European procurers who will:

1. Unify LEA procurers network and ""Observer Cities ""
2. Implement IMAILE PCP lessons learned as LEA baseline
3. Recommend a LEARNTECH Demand policy - 2030 to reduce fragmentation of the public sector
4. Enable increased dialogue between demand/ supply side
5. Provide transfer of knowledge for the LEARNTECH community ( other procurers, industry, start-ups , end - users and policy level) in order to remove barriers of innovative procurement
6. Prepare one PPI ( based upon IMAILE) and one additional future PCP
7. Speed up awareness rising of innovative procurement including cross sectorial value chains

LEA WP- METHODOLOGY is developed in order to achieve the above mentioned objectives and with focus to ""ACCELERATE"":

- LEA network collaboration ( WP 2)
- Demand policy recommendations ( WP 3)
- Dialogue tools/ venues between demand & supply side ( WP 4)
- Knowledge transfer within the community ( WP5)
- Awareness rising on EU level ( WP 6)

This unified and knowledge based action will result in the LEA ROADMAP 2030 including:

-Critical mass of European procurers of LEARNTECH in collaboration acting first customers
-User cases for evidence of cost& time saving/ standardization/ interoperability as results of innovative procurement
-2030 LEARNTECH market foresight and demand policy
-Training material/methods/tools for increased competence and dynamic dialogue among LEARNTECH community
-One prepared PPI absed upon IMAILE with lessons learned
- One addtional prepared PCP identified in LEA

Implementation of the LEA project shall contribute to SMART, INCLUSIVE AND SUSTAINABLE DEMAND BASED DEVELOPMENT OF LEARNING TECHNOLOGY
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Web resources:	https://cordis.europa.eu/project/id/779803
Start date:	01-03-2018
End date:	30-06-2020
Total budget - Public funding:	1 920 093,90 Euro - 1 920 093,00 Euro