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Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
Session one for mldp
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Session one for mldp

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Transcript

  • 1. Session one possible structure<br />By <br />Julie Railton<br />Jacqueline Greene<br />Michelle Ames &amp; <br />Barry Simpson<br />
  • 2. Key priorities of the session<br />Develop a conducive learning and developmental atmosphere<br />Capitalise on prior learning and work carried out before first face to face<br />Develop a model of an effective middle leader.<br />Expose candidates to data processing for gap identification<br />
  • 3. Opening the session<br />Who we are as facilitators and people!<br />Details of the program<br />Housekeeping<br />
  • 4. Warming up and getting the group on track<br />Introduction activity<br />Similar to CLF session<br />Meet five new people<br />Who you are<br />What is your role<br />What you hope to achieve from the program<br />
  • 5. Giving the group a structured learning experience<br />Development of expectations, questions and protocols<br />Develop a session question board for people to add questions to as the session progresses<br />
  • 6. Designing the bigger picture<br />Mapping the program visual paper exercise<br />Participants work in groups to visually model the program. (Including our cluster structure)<br />
  • 7. Exploring leadership<br />Exercise on what does an effective middle leader look like?<br />One group draws and labels and effective middle leader<br />One group draws and labels an ineffective middle leader<br />Activity used to pull together behaviours for an effective middle leader<br />
  • 8. Reflection time<br />
  • 9. Using data to find the gaps to close<br />What is the gap data exercise<br />Generated data set given out<br />Groups analyse data for specific gaps<br />Feedback conclusions as a whole deciding on if gap is statistically significant<br />
  • 10. Application of acquired skills<br />Application of data study to own schools data and SIDP or DIP and begin to look for gaps in achievement.<br />
  • 11. Reflection time<br />
  • 12. Session review and reflection<br />Revisit the question wall to make sure all concerns are addressed<br />Use plenary pyramid to close the session<br />
  • 13. Closing the session<br />Revisit learning goals<br />Reiterate core message of the program<br />Issue next steps for participants<br />

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