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Building Play Skills Using Video Modeling and Matrix Training
Journal of Behavioral Education ( IF 1.2 ) Pub Date : 2020-11-10 , DOI: 10.1007/s10864-020-09414-1
Emily Carmody , Tiffany Stauch

Children with autism spectrum disorder often lack fundamental play skills, which can aid development with social, language, and imitation skills (Boutot et al. 2005). The purpose of this study was to extend the previous literature that successfully combined video modeling and matrix training. Matrix training is an efficient way of teaching that encourages generalization without direct teaching of some skills. In this study, play actions were selected from a 2D, 6 × 6 matrix to teach pretend play skills to 3–5-year-old children with a diagnosis of ASD. Play actions were made up of different toy kitchen foods and play actions within a play kitchen setting (e.g., rinse the carrot and cut the pear). Using a multiple probe design across behaviors, the play actions were taught using video modeling and other play actions from the matrix were later assessed for recombinative generalization. Overall, matrix training was effective for producing recombinative generalization, although additional training was required for 1 out of the 3 participants.



中文翻译:

使用视频建模和矩阵训练来培养比赛技巧

自闭症谱系障碍儿童通常缺乏基本的游戏技能,这些技能可以通过社交,语言和模仿技能来帮助发展(Boutot等,2005)。这项研究的目的是扩展成功结合视频建模和矩阵训练的先前文献。矩阵训练是一种有效的教学方法,可鼓励在不直接教授某些技能的情况下进行概括。在这项研究中,从2D,6×6矩阵中选择了游戏动作,以向3-5岁诊断为ASD的儿童讲授游戏技巧。游戏动作由不同的玩具厨房食物和游戏环境中的游戏动作组成(例如,冲洗胡萝卜和切梨)。使用跨行为的多探针设计,使用视频建模教授游戏动作,然后评估矩阵中的其他游戏动作以进行重组概括。总体而言,矩阵训练对于产生重组泛化是有效的,尽管3名参与者中有1名需要额外的训练。

更新日期:2020-12-23
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