The document discusses forecasts for learning and technology drivers in education. It notes that cloud solutions can help address total cost of ownership, capital vs operational costs, and make updating and support easier. Personalized learning, access to subject matter experts, data-driven decision making, and assessment are also pedagogical drivers. Links are provided to the proposed National Education Network in New Zealand and the London Grid for Learning as examples of connecting schools.

1. What’s the forecast for learning?
Derek Wenmoth
Director, eLearning
Core Education Ltd
derek@core-ed.net

2. Very cloudy

3. Technology Drivers
• Total cost of ownership
• Capital vs. operational costs
• Updating and support
• Mobile, internet capable devices
• Network of things

4. Solutions in the cloud

5. A schools “loop”
Internet
School A
School
KAREN
School A
School
Aggregation University
Point
Services
Public Library
School A
School

6. National Education Network
http://wiki.karen.net.nz/index.php/National_Education_Network

7. London Grid for Learning
http://map.lgfl.org.uk/gol/Map.aspx

8. Pedagogical drivers
• Personalised learning
• Curriculum choice
• Subject matter experts
• Data driven decision making
• Assessment

9. Virtual Schooling

10. http://www.virtuallearning.school.nz

11. Assessment etc

12. The problem…

13. Thankyou
Derek Wenmoth
Director, eLearning
CORE Education Ltd
derek@core-ed.net
http://blog.core-ed.net/derek