Description
Matrix training is one of the most efficient ways to build flexible, generative skills in applied behavior analysis (ABA). Instead of teaching every target one at a time, a matrix arranges related components (such as actions and objects) into a grid. The team teaches only a small set of combinations and then checks whether the learner can produce new, untaught combinations on their own. This is called recombinative generalization, and it is a clear sign of true learning rather than memorization.
In this RBT continuing education course, Dr. Trudy Georgio explains matrix training in practical, RBT-friendly terms. You will learn how a teaching matrix is built, how trained cells differ from probe cells, and why probe trials must be run without prompts, reinforcement, or error correction. The course also covers how to record taught and probed responses separately, how to graph trained vs. untrained performance, and how matrix training extends to language, play, and social skills.
Throughout the course, the focus stays on the RBT’s role under BCBA supervision: implementing matrix protocols with fidelity, protecting data integrity, supporting caregivers as directed, and communicating progress and concerns.
What You Will Learn
- What matrix training is and how it promotes generativity
- How to read a teaching matrix and tell trained cells from probe cells
- How to select functional, meaningful, age-appropriate stimuli
- The difference between teaching trials and probe trials, including error correction rules
- How to collect, record, and graph taught and untaught data
- How to apply matrix training to language, play, and social communication
- How to troubleshoot common problems such as prompt dependency and weak generalization
The course includes a video presentation, downloadable notes, interactive activities, knowledge checks, and a final quiz.
Course access is provided for three (3) years from the date of purchase.
Publication Date: Nov 2026
