The document discusses the integration of data analytics in teaching and learning to enhance student experience and outcomes. It emphasizes the importance of combining learning analytics with qualitative observations and using open-source tools for effective assessment. The approach advocates starting small, iterative improvement through rapid prototyping, and collaboration among educators, tech experts, and students.

1. Data (analytics) informed (e)Teaching and (e)Learning - 7 Byte Size Ideas
Why (before How)
Useful, At hand, Easy to use
Blend Analytics and Assessment
Combine learning analytics, with qualitative observations, and assessment
Micro, Meso, and Macro level
In the beginning, and at the end, comes back to student experience, engagement, and learning outcomes
Understand, then Try Out, Start Small
Use free, off the shelf, open source platforms and tools; blended with customised digital content, and learning paths
Rapid Prototyping and Action Research
Keep iterating, gather data, improving
Email, WhatsApp, Instagram, Padlet, Hangouts, Blogs
Team Up (Domain Experts, Educators, Tech), include Students
Start
"Every journey begins with a single step”
Poh-Sun Goh
1st draft on 16 December 2017 @ 0830am