The challenge
EdTech companies face challenges in anticipating industry trends amid rapidly evolving AI technologies and educational practices.
Traditional market research fails to capture demand-side signals, such as emerging practices and weak signals from innovators, hindering effective product development.
The Solution
- Cross-Country Monitoring: Systematic tracking of AI adoption in universities and research institutions through an expert network.
- Infrastructure Evolution Mapping: Analysis of how education and research platforms are integrating AI and undergoing digital transformation.
- Innovators & Trends Identification: Detect early adopters – universities, labs, communities – shaping AI-enabled practices.
- Scalable Text Analytics: Use of automated transparent NLP and multilingual scraping to create structured corpora.
Impact
- Researchers: Access to global evidence on AI adoption, early practices, and emerging models.
- Institutions: Strategic insights for digital transformation and platform redesign.
- CT Products: Data-driven recommendations for product positioning, new opportunities, and infrastructure trends.
- Global Reputation: Strengthening CU’s international research profile and networks.
Industrial Directions
Results target the EdTech sector, with direct application in higher education and scientific research institutions globally, including universities and research groups adopting AI tools.
- Artificial Intelligence, Consulting, Data & Analytics, Digital Platforms & Transformation, EdTech, Education, Innovation, Knowledge & Intelligence Systems, Research & Development
