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Text to Knowledge: AI- Enhanced Educational Support

Reference number
Coordinator Binogi AB
Funding from Vinnova SEK 2 500 000
Project duration April 2024 - March 2026
Status Completed
Venture India- Sweden Collaborative Industrial Research & Development Program Request for Proposal
Call Cooperation with India - company-driven research and innovation projects 2023

Important results from the project

The project largely met its initial objectives. AI-driven scanning, translation and localization have been developed and integrated into a pedagogical platform, enabling faster and more cost-effective adaptation of learning content to new languages and markets. The project has also produced a new regional partnership model, deeper international collaborations, and independently validated insights into the cultural and pedagogical adaptation of digital learning.

Expected long term effects

The AI-driven processes provide a scalable path to rapidly and cost-effectively adapt pedagogical content to underserved language markets. The regional partnership model enables scalable international expansion at lower risk. Long term, the platform contributes to SDG 4 (Quality Education) and SDG 5 (Gender Equality) through multimodal, curriculum-aligned learning regardless of socioeconomic background, language or gender. Learnings are reused in future market entries.

Approach and implementation

The project was carried out as an iterative collaboration between Swedish and Indian parties, complemented by independent academic verification. The work combined technical development, market and curriculum analysis, and cultural adaptation, with continuous validation among students, teachers and parents. The timeline was largely kept, with some activities slightly extended due to external processing times. Collaboration has worked well and continues in new activities.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 30 May 2026

Reference number 2023-03538