Strategies Point Person Evidence of Success Funding Personnel Timeline (determined by what data) Task (title/name) (Student Impact) (estimated Involved (Start—End) Interim cost / source) Task Dates Task (PD) 1. Common assessments Bundrick (AP), Data-informed student None All, PLCs, 11/1/14 Mitchell (AP), performance improvement; APs, 1/31/15 Pre- and post- assessments created in School Net (when Bracey (AP), Semi-weekly (minimum) Deans, 4/15/15 available) in PLCs aligned to Drye (Principal) data mtgs at PLC level; Tech 6/11/15 objectives/taught standards individual data chats Facilitator All PLCs design and between each teacher and administer uniform major respective administrator; assessments, organized by student by objective by standard (NCSCOS or CCSS) 2. Data disaggregation Bundrick (AP), Data-informed student None All, PLCs, 11/1/14 Mitchell (AP), performance improvement; APs, 1/31/15 Monitoring student achievement by objective; Bracey (AP), Semi-weekly (minimum) Deans, 4/15/15 Develop ongoing intervention Drye (Principal) data mtgs at PLC level; Tech 6/11/15 schedule within PLC class individual data chats Facilitator structure between each teacher and respective administrator; 3. Flexible grouping Bundrick (AP), Data-informed student None All, PLCs, 11/1/14 PLCs meet twice weekly; Mitchell (AP), performance improvement; APs, 1/31/15 once to plan aligned Bracey (AP), scores on common Deans, PLC 4/15/15 lessons, once to analyze Drye (Principal) assessments; Leads, 6/11/15 student performance data PLC Leads Tech PLCs develop intra-team Facilitator intervention plan after each major assessment (minimum twice quarterly)
Strategies (determined by what data) Task Task Task (PD) Point Person (title/name) Evidence of Success (Student Impact) Funding (estimated cost / source) Personnel Involved Timeline (Start—End) Interim Dates 1. Common assessments Pre- and post- assessments created in School Net (when available) in PLCs aligned to objectives/taught standards All PLCs design and administer uniform major assessments, organized by student by objective by standard (NCSCOS or CCSS) Bundrick (AP), Mitchell (AP), Bracey (AP), Drye (Principal) Data-informed student performance improvement; Semi-weekly (minimum) data mtgs at PLC level; individual data chats between each teacher and respective administrator; None All, PLCs, APs, Deans, Tech Facilitator 11/1/14 1/31/15 4/15/15 6/11/15 2. Data disaggregation Monitoring student achievement by objective; Develop ongoing intervention schedule within PLC class structure Bundrick (AP), Mitchell (AP), Bracey (AP), Drye (Principal) Data-informed student performance improvement; Semi-weekly (minimum) data mtgs at PLC level; individual data chats between each teacher and respective administrator; None All, PLCs, APs, Deans, Tech Facilitator 11/1/14 1/31/15 4/15/15 6/11/15 3. Flexible grouping PLCs meet twice weekly; once to plan aligned lessons, once to analyze student performance data PLCs develop intra-team intervention plan after each major assessment (minimum twice quarterly) Bundrick (AP), Mitchell (AP), Bracey (AP), Drye (Principal) PLC Leads Data-informed student performance improvement; scores on common assessments; None All, PLCs, APs, Deans, PLC Leads, Tech Facilitator 11/1/14 1/31/15 4/15/15 6/11/15
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