In proposed blockchain-based systems, students have a single point of access for all their certificates and learning histories; HE institutions can rely on the blockchain for up-to-date access to all the information they require about a learner. This means HE institutions would be able to configure learning around a detailed learner profile, boosting the relevance of teaching options to optimise the learning experience.
Data stored in blockchains would be open to mining by AI, which could return advice to the user regarding suitable employment opportunities, feedback about CV crafting, and improving areas of knowledge. For HE institutions, mining by AI could return aggregated and singular data on course or unit effectiveness, performance differences between units and institutions (with implications for standards and teaching quality), curriculum design, market value of courses and units, and administration-relevant feedback. Transparency between institutions may also inhibit grade inflation.