CEE Data & Evaluation Learning Data@JCU
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Data from LearnJCU and existing JCU information systems is integrated and extracted to create a series of learning analytics reports for academic staff to focus on real-time learning, teaching and student engagement.
- Subject averages
- College averages
- Accesses, interactions, minutes and submissions
- Students' last access date
- Activity and grades comparison
- Data is refreshed every 24 hours
- Interactions are used as a proxy for engagement
- Grade Centre must be setup correctly to get quality data
- Consider the many ways students engage with LearnJCU
- Time in minutes is relevant to online activities
- Submissions in LearnJCU are anything a student adds to a subject site
- Learn how to setup your subject site for best data capture
- Learn how to setup your Grade Centre
- Find out about student activity data and item classification
- Find out about Pre semester Discovery Reports
The Learning Analytics Process
The main purpose or focus of learning analytics is “the application of analytics approaches to gain insight into educational data to improve teaching and learning” (Buckingham Shum & McKay, 2018, p. 26). The following visual was adapted from Lal (2014), who in turn, drew on the seminal work of researchers, such as, Campbell & Oblinger (2007) and Siemens (2013).
- Capture Data
Learning Management System (LMS)
Student Information System (SIS)
Course Management System (CMS)
Other data - Structure and Aggregation
Data integration
Data aggregation - Analyse
Statistical analysis
Data mining analysis
Social network analysis
Qualitative analysis - Display and Visualise
Tables
Charts
Visualisations
Dashboards - Action
Interpretation
(What? So what? Now what?)
Implement - Refine
Monitor
Reflect
Improve
References
- Campbell, J. P., & Oblinger, D. G. (2007). Academic Analytics. Educause White Paper
- Designing Online Learning Strategies through Analytics. Hershey, PA: IGI Global. doi:10.4018/978-1-4666-5832-5.ch001
- Siemens, G. (2013). Learning Analytics: The Emergence of a Discipline. American Behavioral Scientist, 57(10), 1380-1400. doi:10.1177/0002764213498851