S1-Data+Driven+Decision+Making

__Learning Objectives__
At the completion of this topic, the Regis SpEd Teacher Candidates will know have gained the essential learning to accomplish the following:
 * Define and provide examples of a research-based intervention (1a)
 * Read and make decisions about an intervention's efficacy based on its effect size (1b).
 * Cite ways in which a predictive assessment can be used to inform intervention planning (1c).
 * Develop a stronger and more practical knowledge of RtI, its basic components, 3 tiers, and its implications for special education (1d)
 * Identify and use tools for data-driven decision making (1e).

__**Agenda/ Activities**__

 * Goal Writing Pre-assessment
 * Logistics – Introductions, Expectations, Class Dates
 * Review First Assignment
 * Predictive Assessment: The Classic Marshmallow Test
 * Diagnostics - Identifying Areas of Breakdown
 * Understanding Research
 * Using Data
 * Explanation of Homework for Session 2 (Due 1/18/13)

Note: Some questions and tasks will be answered or completed during class, but all need to be submitted to www.turnitin.com (using class ID 5880459, Enrollment password Dove-202) by 6 PM on 1/18/13.

__Resources__ (Linked to Essential Learning Questions and/or Tasks)
>
 * **Task 1:**Research-based intervention links:
 * [|The Best Evidence Encyclopedia (BEE)]
 * [|National Autism Center]
 * [|National Professional Development Center on Autism Spectrum Disorders]
 * [|National Registry of Evidence-based Programs and Practices]
 * **Task 2:** YouTube videos: John Hattie's on the Effect Sizes for improving achievement in classrooms: [|Disasters and Below Average Methods] and [|The Successful Methods]
 * **Task 3**: Link to the Colorado Department of Education [|RtI Resources] webpage
 * **1c.** Fletcher, et al's chapter Screening & Prevention on (pp.51-58) from the article Assessment of Reading and Learning Disabilities A Research-Based Intervention-Oriented Approach published in the 2002 Journal of School Psychology
 * Reenactment of the classic [|Marshmallow Test]
 * **1e.** IES Practice Guide: Using Student Achievement Data to Support Instructional Decision Making[[file:dddm_pg_092909.pdf]]