Using rich-to-lean transitions following errors during discrete-trial instruction

Joshua Jessel, Einar T. Ingvarsson
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引用次数: 2

Abstract

ABSTRACT Research on error correction procedures often includes the manipulation of prompting strategies or reinforcement schedules during discrete-trial instruction (DTI). We extended this research by incorporating rich-to-lean reinforcement transitions following incorrect responses with four boys diagnosed with autism spectrum disorder. With the rich-to-lean error correction procedure, less-preferred reinforcers were delivered for the next two to three correct responses following an error. This condition was compared to non-differential reinforcement, in which more-preferred items were delivered for both correct responses or attempts, and a traditional differential reinforcement procedure, in which more-preferred items were delivered for correct responding and no items were delivered following attempts. The rich-to-lean condition resulted in the acquisition of the targeted skills with two of the four participants. The traditional differential reinforcement procedure was effective with three participants (and most efficient for two of those), and the non-differential procedure was effective (and most efficient) for one participant. We suggest that rich-to-lean transitions might function to correct errors in the context of DTI.
在离散试验指导过程中,使用从丰富到精益的过渡
在离散试验指令(DTI)过程中,对纠错过程的研究通常包括提示策略或强化计划的操纵。我们扩展了这项研究,将四个被诊断为自闭症谱系障碍的男孩的错误反应后的富-贫强化转变纳入其中。在从丰富到精益的错误纠正过程中,在错误发生后,为接下来的两到三个正确反应提供较少首选的强化物。这种情况与非差异强化和传统的差异强化进行了比较,前者对正确的反应和尝试都提供了更喜欢的物品,后者对正确的反应提供了更喜欢的物品,而在尝试之后没有提供任何物品。富-贫条件导致四名参与者中有两名获得了目标技能。传统的差异强化程序对三个参与者有效(其中两个最有效),而非差异强化程序对一个参与者有效(最有效)。我们认为,从丰富到精益的转变可能有助于纠正DTI背景下的错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Behavior Analysis
European Journal of Behavior Analysis Social Sciences-Education
CiteScore
2.60
自引率
0.00%
发文量
5
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