Course Overview and Practical Applications
A practical, reading-based course on using student achievement data to strengthen instructional decisions, intervention planning, progress monitoring, and school-based psychological practice.
Course Overview
This course examines how psychologists and other school professionals can use student achievement data as part of a structured decision-making process. Participants review how to collect and prepare multiple sources of data, interpret patterns, develop testable hypotheses, modify instruction, evaluate student response, and distinguish what the data directly show from what must still be inferred.
📊 Data Interpretation
Examine patterns across achievement, benchmark, classroom, and progress-monitoring data.
🔄 Instructional Decision Making
Move from data collection to hypotheses, instructional changes, and follow-up evidence.
🧠 Psychological Practice
Apply data-based reasoning to intervention, consultation, evaluation, and systems-level decisions.
Topics Covered
- The instructional improvement cycle
- Selecting and preparing relevant student achievement data
- Interpreting multiple and conflicting data sources
- Developing and testing instructional hypotheses
- Helping students use data and establish learning goals
- Building schoolwide systems and cultures for meaningful data use
- Using districtwide data systems effectively
- Applying data-based decision making in psychological practice
Course Format
This is a primarily self-paced reading course supported by applied examples, interactive decision-making activities, case analysis, and a final knowledge assessment designed to strengthen practical use of student achievement data in school settings.
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