Osos Jessica A, Higbee Thomas S, A Lindgren Nicholas, Campbell Vincent E
Special Education and Rehabilitation Counseling, Utah State University, Old Main Hill, Logan, 84322 Utah USA.
Anal Verbal Behav. 2023 Sep 12;40(2):118-134. doi: 10.1007/s40616-023-00193-0. eCollection 2024 Dec.
Children on the autism spectrum often have deficits in language development. Given the resources required to provide intensive intervention services, either in person or via telehealth, it may be important to maximize instructional time by using procedures that lead to generative language use, such as matrix training. Matrix training involves systematically arranging and selecting multi-component instructional targets, in which only a select few of the component combinations are directly taught; then, following mastery of the selected targets, a check is completed to test for the emergence of the rest of the combinations within the matrix. In the current study, we use a nonconcurrent multiple baseline design across participants to determine the effects of telehealth-based matrix training on trained and untrained language targets for three young children on the autism spectrum. Two of the three participants required booster training sessions to reach mastery in the post-test condition. These preliminary results suggest that matrix training may be an effective method for teaching multicomponent tacting skills via telehealth to young children with autism.
患有自闭症谱系障碍的儿童通常在语言发展方面存在缺陷。考虑到提供面对面或通过远程医疗的强化干预服务所需的资源,使用能促进生成性语言运用的程序(如矩阵训练)来最大化教学时间可能很重要。矩阵训练包括系统地安排和选择多成分教学目标,其中只有少数成分组合会被直接教授;然后,在掌握所选目标后,进行检查以测试矩阵中其余组合的出现情况。在本研究中,我们对参与者采用非同期多重基线设计,以确定基于远程医疗的矩阵训练对三名患有自闭症谱系障碍的幼儿的已训练和未训练语言目标的影响。三名参与者中有两名需要强化训练课程才能在后测条件下达到掌握程度。这些初步结果表明,矩阵训练可能是通过远程医疗向患有自闭症的幼儿教授多成分触觉技能的有效方法。