ITaLI's Learning Analytics team leads innovations in the design and delivery of programs and courses to support personalised learning, with the vision to help staff and students to make informed decisions of teaching and learning practices.

The Learning Analytics team play a key role in meeting the aims of UQ's Student Strategy 2016-2020.

“Learning analytics can assist students and staff by providing information that enhances learning and teaching by supporting adaptation in the practices, processes and systems of the University, such as improvements in assessment. It enables a more personalised management of the relationship between the University and its students by managing online learning, feedback and support systems." (p.19)

Key priorities

1. Increasing retention in high impact courses and programs

We collate data and provide analysis support to the student retention activities across UQ. An example is to develop course-level academic-facing visualisations that provide information about student online and in-class engagement and their assessment outcomes for identification of academically at-risk students.

In addition, the introduction of an academic-facing platform is one of the strategies to engage teaching staff with student learning data. Collaboration with teaching staff in the development process has commenced and will inform the ongoing process.

2. Enabling students to access and interpret educational data

We develop student-centred and user-friendly visualisations to enable students to develop a better understanding of their progression in a course or program with real-time data. Initial prototypes of data visualisations will be validated through the Students as Partners approach.

3. Supporting the re-imagining of learning activities across learning experiences

We design, develop, adopt and validate educational tools and associated learning theories that enhance teaching and learning, and revise how learning activities, learning resources and assessment are delivered across learning spaces. For example, incorporating the Learning Pathway tool on Blackboard and the adaptive learning platform (RiPPLE) to better engage students in an online environment.

4. Developing, growing and leading a wider UQ learning analytics community

We engage with academic champions of learning analytics from all faculties to accelerate innovation diffusion and adoption of learning analytics in learning and teaching. Also, we collaborate with learning designers, learning scientists and evaluation experts as key members of learning analytics projects to maximise the impact and to undertake robust evaluations.

Visit the Learning Analytics project page to read about the Learning Analytics team's current projects.

Quality assurance

Curriculum and Teaching Quality and Risk Appraisal (CTQRA) is a process to ensure that UQ's programs and curricula are reviewed annually.