An artificial intelligence approach for selecting effective teacher communication strategies in autism education.

ABSTRACT: Effective inclusive education is key in promoting the long-term outcomes of children with autism spectrum conditions (ASC). However, no concrete consensus exists to guide teacher-student interactions in the classroom. In this work, we explore the potential of artificial intelligence as an approach in autism education to assist teachers in effective practice in developing social and educational outcomes for children with ASC. We form a protocol to systematically capture such interactions, and conduct a statistical analysis to uncover basic patterns in the collected observations, including the longer-term effect of specific teacher communication strategies on student response. In addition, we deploy machine learning techniques to predict student response given the form of communication used

SUBMITTER: Lampos V 

PROVIDER: S-EPMC8410830 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature