School of Social Sciences, Education and Social Work, Queens University Belfast, 69-71 University St, Belfast, BT7 1HL, Northern Ireland.
J Autism Dev Disord. 2022 Aug;52(8):3366-3382. doi: 10.1007/s10803-021-05217-z. Epub 2021 Jul 30.
Video modelling (VM) interventions have been used to improve the fluency of individuals with learning disabilities and reading difficulties; this study aimed to replicate these findings with autism spectrum disorder (ASD) students. Four children with ASD (aged between 8 and 15) experienced two VM interventions, across 10 sessions, during an alternating treatments design: VM using a teacher model, and feedforward video self-modelling (FFVSM) where the student acted as the model. For two participants, FFVSM was found to be an effective intervention but overall, results for both interventions were inconsistent with previous research. Talking Mats Interviews were used to include these individuals within the social validation process of behavioural research.
视频建模 (VM) 干预措施已被用于提高学习障碍和阅读困难者的流利度;本研究旨在通过自闭症谱系障碍 (ASD) 学生复制这些发现。四名年龄在 8 至 15 岁之间的 ASD 儿童在交替治疗设计中经历了两个 VM 干预,共 10 个疗程:使用教师模型的 VM 和学生作为模型的前馈视频自我建模 (FFVSM)。对于两名参与者,FFVSM 被发现是一种有效的干预措施,但总的来说,这两种干预措施的结果与之前的研究不一致。使用交谈垫访谈将这些个体纳入行为研究的社会验证过程中。