During May and June, a team of 10 professors and 30 engineering students from the Polytechnic Institute of Bragança (IPB), Portugal, conducted extensive validation and testing to evaluate the quality of the AI-based services integrated into the MathE Platform. These activities focused on the three pilots developed within the DataGEMS project:
- Personalized multiple-choice question recommendations. IPB and CNRS teams are working together on a recommendation system to assess the pedagogical quality, correctness, and suitability of personalized recommendations for students.
- Query recommendation. Developed jointly with the Athena Research Center, this pilot recommends relevant educational resources to students based on queries and learning needs, supporting more personalized learning pathways within the MathE platform.
- Generation of multiple-choice questions and associated metadata. Developed in partnership with ZHAW, this pilot focuses on the automatic generation of MCQs together with educational metadata, including keywords and difficulty levels, to enrich the platform’s learning content and improve resource discoverability.
The validation process aimed to assess and improve the accuracy, usability, and educational value of each pilot before their integration into the MathE platform. The multidisciplinary collaboration between IPB, CNRS, ZHAW, and Athena enabled a comprehensive evaluation from pedagogical, scientific, and technical perspectives. These achievements represent an important milestone for the DataGEMS project, demonstrating significant progress in AI-assisted educational content generation, natural language processing, educational resource discovery, and the implementation of FAIR principles.
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