This document discusses different levels of analysis from micro to macro and contrasts low-cost scalable approaches with high-cost approaches that do not scale easily. It also references analogies from different domains like education, health, and retail. The role of technology and data analytics is mentioned, distinguishing between small observational data and larger quantitative data.

1. Micro
Meso
Macro
Individual-Personal-Private Ala Carte
Set Menu
Buffet
Small group
Large group-Global
Low cost-Time efficient-Scales up
Value and impact
High cost-Time intensive-Does not scale easily
Analogies-Education/Health/Dining/Retail
Personal and Personalised learning and teaching
Poh-Sun Goh
1st draft on 10 October 2017 @ 0700am
Role of Technology
Learning and data analytics
Small data - observational, qualitative
Big data - more quantitative