Enhancing Disaster Risk Management in India through Blended Learning

1. Blended Learning: Improve Disaster Risk Management in India by Using Knowledge-Base and Statistics An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

2. The scope and purpose of the training The contents and methods of the training The Web Quests Expected outcome and best practices Content of Presentation An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

3. Scope and Purpose An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

4. The new WBT Link: http://gc21.inwent.org/open.jsp?name=course/ol-iDRM-2010 An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

5. Alternative Setup An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

6. Module 1: Introduction to Statistical Terminology Example: Rainfall Patterns in Bihar / Patna District Use of descriptive statistical indicators for real current data (mean, median and standard deviation ), use of graphs and interpretation of graphs, learn about indices, describe risk periods and areas An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

7. Guided Exercises: Analyse Rainfall Patterns in other Districts of Bihar Subjects treated: What can we learn of these Measures of Dispersion? When are the different Measures of Dispersion best used? Where are the different Measures of Dispersion applied for DRM? Resume of the Examples of Rainfall Figures from Bihar State using Statistics An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

8. A new page of Modul1 An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

9. Module 2: Use Statistical Information on recent and passed disasters Example and Exercises: Comparative Ranking of Indian States according to disaster risks As a result of the exercise we will come up with something like this: Information on past disasters (frequency, repetition pattern), Maps and graphs displaying frequency and severity of floods or other disasters, identify disaster prone periods, areas and relative secure periods An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

10. Example of Exercises on Cyclone Risks in Andhra Pradesh An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

11. Module 3: Understand “Cause and Effects of disasters described by statistics” Example and Exercises: Comparison of Means, 0-Hypothesis and t-Test for comparing Rainfall Patterns Example and Exercises: Correlation for Bihar Rainfall and Human Casualties (1979 – 2008) Example and Exercises: Multiple Regression for explaining Gujarat Droughts (1982 – 2008) Information on economical figures, Use statistical methods (EXCEL) to estimate dependencies and predictions, Learn to identify “causes and effects” in statistical terms, Understand limits of “causes and effects” An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

12. Example and Guided Exercises: A Disaster Risk Index for major Indian Cities using Factor Analysis Subjects treated: Learn about hypothesis and testing Correlation is in indicator of causal relation but not sufficient as an explanation Regression can “explain” Disaster Results like Drought by related Data Factor and Principal Component Analysis show relationships among data series related to pre-disaster, relief and post-disaster management An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

13. A new page of Modul3: Guided Exercise An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

14. A new page of Modul3: Tutorials An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

15. A new page of Modul3: Independent Exercise An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

16. A new page of Modul3: Self Validation Select Responses and Submit An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

17. Common Features and specific for this Web Based Training Course • • web-based training materials • • tutor input, tutorial (training videos) • • group work • • discussions in online forums & chats • •assessments and exercises • • interactive tasks, internet links, glossary • • reading and support material An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

18. The WebQuests (1) An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

19. The WebQuests (2) An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

20. The WebQuests (3) An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

21. WebQuest of Module3: “Understand causes and effects of disasters as described by statistics” Introduction & Content An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

22. WebQuest of Module3: “Understand causes and effects of disasters as described by statistics” Task & Process An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

23. WebQuest of Module3: “Understand causes and effects of disasters as described by statistics” Evaluation An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

24. Expected outcome and results An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant

25. Thank You for your Attention! An introduction course on InWEnt Blended-learning approach - Klaus Röder / Consultant