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Improvement of Procedural Fidelity in Discrete-Trial Programs Using Computer-Based Instruction to Teach Skilled Observation

Title: Improvement of Procedural Fidelity in Discrete-Trial Programs Using Computer-Based Instruction to Teach Skilled Observation
Language: English
Authors: Karen M. Lionello-DeNolf (ORCID 0000-0002-5003-671X); David Eckerman (ORCID 0000-0003-1144-4240); Rebecca Hise; Elizabeth Pinzino; Roger Ray
Source: Journal of Applied Behavior Analysis. 2025 58(4):821-840.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 20
Publication Date: 2025
Document Type: Journal Articles; Reports - Research
Descriptors: Fidelity; Computer Assisted Instruction; Applied Behavior Analysis; Behavior Modification; Improvement; Instructional Effectiveness; Coding; Prompting; Observation
DOI: 10.1002/jaba.70027
ISSN: 0021-8855; 1938-3703
Abstract: Procedural fidelity is an important component of behavioral intervention programs. The "Train-to-Code" software was used to teach skilled observation of implementation of three types of discrete-trial programs, and improvement to procedural fidelity was assessed. Participants completed a training package that involved coding video examples and non-examples of a teacher delivering each discrete trial program. The degree of prompting given to the trainee increased or decreased dynamically during training sessions based on participants' coding accuracy. The efficacy of the training was tested within subjects via pre- and posttest role plays in which participants delivered discrete-trial programs to a scripted research assistant. Results indicated substantial improvement in discrete trial delivery at posttest. These results suggest that "Train-to-Code" may be an effective method for training delivery of discrete trial programs in applied settings.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1489024
Database: ERIC