Writing Measurable Goals Central Columbia School District.

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Presentation transcript:

Writing Measurable Goals Central Columbia School District

Structure of a Goal Condition – Describe the situation in which the student will perform the behavior Materials, settings, accommodations Student’s Name Clearly Defined Behavior – Describe behavior in measurable, observable terms, use action verbs What will she/he actually do? Performance Criteria – The level the student must demonstrate for mastery (How well?) – Number of times needed to demonstrate mastery (How consistently?) – Evaluation schedule (How often?)

ConditionNameClearly Defined Behavior Performance Criteria Given visual cues… During lectures in math… Given active response checks… Locate… Point to… State… Sit… Write… % of time #times/# times With the # or % accuracy “X” or better on a rubric or checklist How consistently will the student need to perform the skill(s) before considered “mastered?” How often will the student be assessed? What will be the method of evaluation? Student’s name Structure of a Measurable Goal

ConditionNameClearly Defined Behavior Performance Criteria Given visual cues… During lectures in math… Given active response checks… Locate… Point to… State… Sit… Write… % of time #times/# times With the # or % accuracy “X” or better on a rubric or checklist How consistently will the student need to perform the skill(s) before considered “mastered?” How often will the student be assessed? What will be the method of evaluation? Given…He/ Shewill do this,this well,this many days/times, as measured this often using this.

Given…He/ Shewill do this,this well,this many days/times, as measured this often using this. Using classroom reading materials and graphic organizers will identify evidence from text to support generalizations in order to make inferences with 80% accuracy on 8 work samplescollected bi- monthly David PA 8 th Grade Reading Standard

Using classroom reading materials and graphic organizers, David will identify evidence from text to support generalizations in order to make inferences with 80% accuracy on8 work samples collected bi-monthly. (Reading R8.A.1.3)