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Prescriptive Teaching 101

Presented by: Phyllis Vermilyea/Lori Roberts. Prescriptive Teaching 101. Agenda. Introductions Goals of the course What is data? For academics For behavior Where do I find this data? Creating a student profile. What is data?.

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Prescriptive Teaching 101

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  1. Presented by: Phyllis Vermilyea/Lori Roberts Prescriptive Teaching 101

  2. Agenda Prescriptive Teaching 101 • Introductions • Goals of the course • What is data? • For academics • For behavior • Where do I find this data? • Creating a student profile

  3. What is data? Prescriptive Teaching 101 • da·ta    (dt, dt, dät) KEYpl.n.(used with a sing. or pl. verb) • Factual information, especially information organized for analysis or used to reason or make decisions.

  4. Prescriptive Teaching 101 Educational Data Mining (EDM) is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in. 

  5. Where do we find data for academics? Prescriptive Teaching 101 • School Net • IRI SAT • ISAT Preschool • IELA • Benchmarks • Classroom tests • NSD info • Power School • AimsWeb • Universal Screeners

  6. WHERE DO WE FIND DATA FOR BEHAVIOR? • Power School • Log entries • Attendance records • SRSS • SIBSS • Observations • Anecdotal records • Cum file • Grade reports/comments • Attendance records • Hospitalization records • Interviews • Behavior Intervention Plan

  7. Data Digging

  8. ASSESSMENT Academic Profile Student Variables

  9. What information do we have on the student from standardized assessment? IRI, ISAT, IELA, PSAT, SAT, ACT, etc…. What is the student receiving academically? Are services being provided? What strategies work best for the student? Have interventions been provided? What does the student come to school “with”? SES, Mobility, Health Concerns, etc…

  10. Anger Management Attendance Homework Reading Friends Sports Home life Writing Math

  11. NEXT STEPS: • Select at least 3 students and up to 5 students • Create a student profile with data for both academics and behavior • We will add to this profile as we progress through the course

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