Title

Train-To-Code: An Adaptive Expert System For Training Systematic Observation And Coding Skills

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. Successful 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. Copyright 2008 Psychonomic Society, Inc.

Publication Date

8-1-2008

Publication Title

Behavior Research Methods

Volume

40

Issue

3

Number of Pages

673-693

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.3758/BRM.40.3.673

Socpus ID

50849119699 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/50849119699

This document is currently not available here.

Share

COinS