Getting the Best Bang for your Buck; Effective Implementation of Matrix Training
Date and Time: Friday, May 3, 2013 from 9:00 a.m. to 12:00 p.m.
Meghan E. Martineau, M.S., BCBA
Abstract: Matrix training is the orderly arrangement of learning opportunities, structured in a manner to promote the development of untrained relations. Previous research has demonstrated the effectiveness of matrix training across a variety of skills including preposition usage (Mineo & Goldstein, 1990), sociodramatic play (Dauphin, Kinney, & Stromer, 2004), object and location identification (Nigam, Olmi, & Saunders, 2006), use of syntactic rules (Goldstein, Angelo, & Mousetis, 1987), spelling (Kinney, Vedora, & Stromer, 2003) and American Sign Language Light, Watson, Remington, 1990). When properly designed, matrix training appears to be an efficient tactic for teachers and behavior analytic practitioners because it promotes acquisition of untaught relations following the training of some relations. The emergence of any untaught skills in matrix training is referred to as recombinative generalization (RG). The possibility of RG makes matrix training an appealing teaching strategy because, when RG occurs, it becomes unnecessary to teach students to behave differentially with each novel stimulus combination.
Though there are a number of demonstrations of effectiveness of matrix training, there appear to be procedural variables that can influence the efficiency of matrix training. Some of these variables include the size of the matrix, the selection of target relations, the skills taught, and whether skills are taught in a second modality. A goal of this workshop is to provide a qualitative and quantitative review of previous research to determine the impact procedural variables has on RG.
Another focus of the workshop is to review the steps needed in order to implement matrix training. We will provide an overview of the critical features of matrix training, review skills that have been successfully taught through matrix training, and discuss how best to arrange matrices. A goal of this workshop is to provide an understanding of how to successfully arrange and plan for the implementation of matrices. Throughout the workshop, we will also discuss behavioral principles related to matrix training, future applications of matrix training, and recommendations for best practice.
Learning objectives (2-3):
1. Understand how to develop a matrix, and how to select target relations in matrices that promote the development of recombinative generalization.
2. Define and provide an example of "recombinative generalization"
3. Describe why the implementation of non-overlapping matrix training promotes the development of stimulus overselectivity.
NECC is an approved BACB® Type 2 CE Provider (1 credit per training hour).
MANDATORY DISCLAIMER: The Behavior Analyst Certification Board, Inc.® ("BACB")
does not sponsor, approve or endorse The New England Center for Children®, the
material, information or sessions identified herein.
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