At Aula, MongoDB is a core part of the platform's underlying infrastructure and acts as the centralised database used to store and manage records generated across the platform. Every interaction and action carried outby users within Aula is recorded within MongoDB. This includes user authentication, posts, submissions, resources, discussions, collaborative activity and other interactions carried out by students and educators across institution instances. Aula's experience relies on seamless interaction between students, educators and content, and MongoDB supports this by storing the structured yet flexible data that enables these interactions to take place. Every action within the platform generates data, whether it is a student posting a submission, an educator sharing resources, or users collaborating through discussions. MongoDB's document-based model allows this information to be captured and stored in real time without being restricted by rigid table structures. This flexibility is important for Aula because different institutions and courses can have different requirements and structures. MongoDB's schema-less design allows Aula to adapt and evolve its data model without requiring complex migrations or significant downtime. This enables the platform to continue developing and introducing changes without unnecessarily disrupting teaching and learning.

Procurement Act 2023

Direct award MongoDB is a core part of the Aula system underlying infrastructure and acts as the centralised database used to store and manage records generated across the platform. Note that the Aula system is an internal virtual learning environment developed and hosted by Coventry University. Every interaction and action carried out by users within Aula is recorded within MongoDB. This includes user authentication, posts, submissions, resources, discussions, collaborative activity and other interactions carried out by students and educators across institution instances. Aula's experience relies on seamless interaction between students, educators and content, and MongoDB supports this by storing the structured yet flexible data that enables these interactions to take place. Every action within the platform generates data, whether it is a student posting a submission, an educator sharing resources, or users collaborating through discussions. MongoDB's document-based model allows this information to be captured and stored in real time without being restricted by rigid table structures. This flexibility is important for Aula because different institutions and courses can have different requirements and structures. MongoDB's schema-less design allows Aula to adapt and evolve its data model without requiring complex migrations or significant downtime. This enables the platform to continue developing and introducing changes without unnecessarily disrupting teaching and learning.