Hoja AI Raises £1.3M to Build a Personalised AI Study Application
August 7, 2024
Hoja AI, a UK education technology company, has raised £1.3 million to develop its personalised AI study application. The company is building a learning tool that uses artificial intelligence to adapt to each individual student's knowledge state, learning pace, and study patterns — creating a study experience that is continuously calibrated to what each learner currently knows, what they most need to work on, and how they learn most effectively.
The case for adaptive personalisation in education is well established: research consistently shows that learning is most effective when it is pitched at the right level of challenge, when retrieval practice is spaced at intervals that maximise long-term retention, and when feedback is immediate and specific. The challenge is that delivering personalised instruction at scale has historically required either individual tutors — which is expensive and inaccessible to most learners — or has been approximated by branching question trees in adaptive learning platforms that cannot match the nuance of a skilled human tutor. Large language models and advances in AI have created a new possibility: a study companion that can genuinely understand where a learner is struggling, explain concepts in multiple ways, generate targeted practice questions, and adjust its approach based on the learner's responses in real time.
Hoja's application is designed for use by students across a range of educational contexts — school, university, and professional certification — where the core challenge is mastering a defined body of knowledge efficiently. The platform builds a model of each user's knowledge state across the curriculum they are studying, identifies gaps, and generates personalised practice that targets those gaps with appropriate difficulty and spacing. The result is a study experience that uses the learner's time more efficiently than undirected self-study or sequential reading through notes, which often focuses on material the learner already understands rather than on the areas where improvement is most needed.
The funding will be used to develop the platform's AI capabilities, build out subject content coverage, and grow the user base.
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