discrete-trial-teaching

Discrete Trial Teaching (DTT) is a structured framework that breaks learning into discrete trials with clear antecedents, responses, and consequences. It uses a five-element sequence—discriminative stimulus, prompt, response, consequence, and inter-trial interval—to reliably teach new skills in ABA settings.

Structure a discrete trial teaching session by following the five-element trial sequence (S^D, prompt, response, consequence, ITI). Use mass, distributed, or interspersed trial arrangements to optimize motivation and generalization while teaching discriminations, listener responding, imitation, or chained task components.

The best way to correct errors in DTT programs is to apply systematic error correction procedures alongside continuous data collection. This combination monitors trial-by-trial progress, tracks skill mastery, and guides prompt fading decisions based on the learner's response patterns.

Yes, discrete trial teaching is applicable in classroom or clinical ABA settings for teaching discriminations, listener responding, imitation, and task sequencing. It breaks chained behaviors into discrete trials to support structured skill acquisition across various learning environments.

Use mass trial arrangements to establish target skills through repeated practice, and switch to interspersed or distributed trials to optimize motivation and promote generalization. The arrangement choice depends on the learner's current acquisition stage and behavior analysis goals.