Title

Train-to-Code: An adaptive expert system for training systematic observation and coding skills

Authors

Authors

J. M. Ray;R. D. Pay

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Behav. Res. Methods

Keywords

INTRASUBJECT-REPLICATION-DESIGN; OF-VARIANCE-MODEL; DISCRIMINATION; CHILDREN; COURSEWARE; BEHAVIOR; COR; Psychology, Mathematical; Psychology, Experimental

Abstract

Problems in training behavioral observers to a high degree of interindividual accuracy and intraindividual stability are fundamental concerns in descriptive research, as well as in provisions of behavioral intervention services. This article presents design characteristics of and results from three formative evaluations of an adaptive computerized expert system that shapes observation and recording skills and maximizes both individual coding accuracy and stability. The system, called Train-to-Code, allows instructors or trainers to import their own video source files and to code those videos using any appropriate descriptive behavioral-coding scheme. This generates customized expert reference data that automate subsequent training on the basis of an operant response-shaping instructional design model. Successftil training relies on transitions through alternative levels of prompting and feedback designed to optimize ongoing performance until stable expert-equivalent levels of interobserver accuracy are maintained without prompting or feedback.

Journal Title

Behavior Research Methods

Volume

40

Issue/Number

3

Publication Date

1-1-2008

Document Type

Article; Proceedings Paper

Language

English

First Page

673

Last Page

693

WOS Identifier

WOS:000257991700005

ISSN

1554-351X

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