Using Behavioral Skill Training to Extend Discrete-Trial Teaching Skills Across Instructional Programs

Olaff et al. (2025) asked: can BST teach educators to run DTT in brand-new programs without extra help?

They used a single-case design. Staff first learned DTT for one set of tasks. Later they had to teach different tasks, in new rooms, with new kids.

No coach followed them. The team tracked if the teachers still hit the teaching steps three weeks later.

After the first BST round, every teacher ran DTT with high accuracy.

When the program changed, they kept scoring high. Gains stayed for three weeks with no booster sessions.

Clayton et al. (2019) showed a 10-minute BST jump can lift staff accuracy to 97% and hold it for a month. Olaff moves that line further: the same jump now carries over to untrained tasks and settings.

Briggs et al. (2024) scouted 51 studies and found most labs trim BST to save time. Olaff keeps the full four-step package and shows the payoff is generalization, not just speed.

Ampuero et al. (2025) found brief feedback works as well as full BST for paraeducators. Olaff does not fight that claim; it simply sets a different goal—generalization across programs—where the complete BST sequence still shines.

You can stop re-training staff every time you write a new program. Run one solid BST cycle on the first program, then let the teacher loose on the rest. Check fidelity once; if it’s high, you’ve saved hours of re-coaching. Use the freed time to watch client responding instead of staff prompting.