discrete-trial-teaching

What problem does it solve?

Discrete Trial Teaching (DTT) provides a structured, clinician-directed framework to reliably teach new skills by breaking learning into discrete trials with clear antecedents, responses, and consequences.

Core Features & Use Cases

• Trial components: discriminative stimulus, prompt, response, consequence, and inter-trial interval to guide acquisition.
• Trial arrangements: mass, distributed, and interspersed formats to optimize motivation and generalization.
• Error correction and data: systematic error correction procedures and data collection to monitor progress.
• Use cases: teaching discriminations, listener responding, imitation, and chained task components within ABA programs.

Quick Start

Follow the five-element trial sequence (S^D, prompt, response, consequence, ITI) to establish the target skill in a structured session.