Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment…

Conclusions about the efficacy of tele-therapy for parent-mediated intervention for children with Autism Spectrum Disorders (ASD) are limited, due to the shortage of direct comparisons between tele-therapy and traditional face-to-face therapy. In this study, we implemented a parent training program, which targeted on language facilitating…

The authors combined virtual reality technology and social robotics to develop a tutoring system that resembled a small-group arrangement. This tutoring system featured a virtual teacher instructing sight words, and included a humanoid robot emulating a peer. The authors used a multiple-probe design across word sets to evaluate the effects of the…

This study examined the effect of using an iPad for students with autism spectrum disorder (ASD) on self-monitoring their behaviors in class. Four students with ASD were taught on-task behaviors by watching self-modeled video saved in the application "Choiceworks" on their iPads, and collected data on their own behaviors. A single…

The use of technology in intervention and instruction for adolescents with autism spectrum disorder (ASD) is increasing at a striking rate. The purpose of this paper is to examine the research literature underlying the use of technology in interventions and instruction for high school students with ASD. In this paper, authors propose a theoretical…