Forecast for Education
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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.
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Forecast for Education
- 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
- 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
- 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