Files and Templates
EduTools.us - Progress Monitoring with Confidence
Edutools.us makes progress monitoring a snap. The set up is easy and intuitive. Data entry is simple. The visualizations are interactive, and decision - making with EduTools.us is accurate and defensible. Decision - making will always require some degree of professional judgement. Check out this brief presentation demonstrating how the visualizations from edutools.us can make decision - making more objective.
Progress Monitoring With Confidence NASP 2015
Progress Monitoring is a required for special education. Defined as a scientifically based practice, attempts to define the scope of tools for progress monitoring fall short. The NCII "Tools" chart delineates psychometric characteristics for 74 "Areas" from 19 different "Titles" in the subjects of Reading, Writing and Mathematics. A valiant effort, but schools needn't be limited by the NCII chart. The summaries are very useful to help educators to make informed decisions. However, it is the measurement rather than the tool that is reliable. It is the effect of the measurement occasions that should be used to evaluate student progress, not samples collected from research that may or may not adequately represent the student. This presentation sets up the framework for progress monitoring and with the ultimate goal of graphing data with confidence intervals to evaluate student progress. The focus of this Mini-skill session is to demonstrate how educators can validate the measurement of their choice, and provide a heuristic for reliably evaluating the progress of a student regardless of whether the tool of choice has been deemed worthy by a National Center, without specific consideration of the quality of the data actually collected.
Adv Progress Monitoring What is it that we are measuring, and Why
Module A Construct Validity and Big Ideas in Reading
Module B College and Career Ready with EXPLORE
Module C Universal Screening
Module D Progress Monitoring
Module E Advanced Universal Grouping
Step 1. What data will you use?
Step 2. What are the cut scores indicating a difference requiring additional assistance? What is the cut score indicating a need for substantial assistance?
Step 3. Classify each score as Risk versus No Risk
Step 4. Determine convergence, list scores with >50% convergence
Step 5. Sort by Magnitude
Step 6. Meet with teachers to validate decisions