Uitdaging

Better textbooks and high-quality teaching materials are essential for strong education. GO! wants to take responsibility in this area. Within the e-content programme, GO! develops its own learning materials in domains where the market offering falls short, such as materials for study programmes in technical fields or differentiation materials for inclusion. The current approach reveals many opportunities and immediately shows where the challenge lies. The development and quality assurance of learning materials is complex, specialised and labour-intensive. In a context of teacher shortages, it is also more difficult to scale. This PIO project builds on GO!’s existing approach and develops a secure and controlled AI platform, trained on GO! data, to support us in developing, validating and labelling learning materials. In a hybrid intelligence model, AI generates proposals and metadata, while education professionals are responsible for, among other things, pedagogical review and final validation.

In doing so, we aim to develop a concept in which people and machines are optimally aligned to scale up and improve the overall quality of education.