Uncover the power of data analytics
Student data analytics is a powerful tool for educators, university staff and institutional decision-makers:
- Creates a shared understanding of students and the institution’s successes and challenges;
- Improves administrative decision-making and organisational resource allocation;
- Helps leaders transition to holistic decision-making through analyses;
- Innovates and transforms academic models and pedagogical approaches;
- Provides learners with insight into their learning habits and recommendations for improvement;
- Identifies at-risk learners and provide intervention to assist learners in achieving success;
- Increases organisational productivity and effectiveness by providing up-to-date information and allowing rapid response to challenges.
Curriculum, academic and learning analytics – what is the difference?
Curriculum analytics involves evaluating and enhancing an educational institution's curriculum. Academic analytics encompasses a broader range of data analysis related to institutional effectiveness, while learning analytics focusses on individual student learning experiences.
All fields use data to improve education but differ in scope, target, and data sources. Curriculum analytics optimises curriculum design, academic analytics covers broader institutional aspects, and learning analytics concentrates on personalised student learning.