An intelligent campus uses data collection and analysis to enhance the student experience. Data is gathered from various campus systems and activities using a data aggregator and hub. This data is then processed and analyzed to gain insights from three key areas: the intelligent estate, intelligent learning spaces, and the intelligent workspace. The goals are improved space utilization, personalized learning experiences, and smart city experiments.
20. Presentation and action
The intelligent
estate
Enhanced student
experience
Intelligent learning
spaces
Intelligent
workspace
Smart city Smart
experiments
Intelligent
library
Data aggregatorLearning data hubLearning analytics
processor
Data storage and analysis
Data collection
Student
records
Estate
data
Mapping CalendarAttendanceTracking TimetablingLibrary EnergyUtilisationVLE
UDD Transformation Toolkit Plugins and/or Universal xAPI Translator
21. Presentation and action
The intelligent
estate
Data aggregatorLearning data hubLearning analytics
processor
Data storage and analysis
Data collection
Estate
data
UDD Transformation Toolkit Plugins and/or Universal xAPI Translator