The document discusses how data analytics can inform teaching and learning by providing concrete examples of quantitative and qualitative data that can be collected from online learning platforms. This data includes information on content viewed or not viewed by students, how long and often they engage with content, when and where they access it, and on what device. Analytics can also reveal why students choose certain paths, how long they spend on tasks, and insights into assessments, learning artifacts, and student engagement that can help improve instruction.

1. Data (analytics) informing (e)Teaching and (e)Learning - Concrete examples
Content Learning Trails/Path Outcomes
Viewed, Not viewed
How long
How often
When
Where
How
Device, Platform
Why
By Whom
Why
Which (chosen)
What
Time spent, Pace,
Repeated visits, How long
Analytics Observations Assessment
Learning Artefacts
Portfolios
Poh-Sun Goh
1st draft on 16 December 2017 @ 0535am
What
Quantitative (Data)
Qualitative (Data)
Q and A Discussions Notes Assignments Tests Demonstrations
Exhibits
Engagement