Computer-mediated social learning contexts have become increasingly popular over the last few years; yet existing models of students' cognitive-affective states have been slower to adopt dyadic interaction data for predictions. Here, we explore the possibility of capitalizing on the inherently social component of collaborative learning by using…

Background: Children with autism spectrum disorder experience difficulty initiating (IJA) and responding to joint attention (RJA), which is critical to engagement in social interactions. The adult role in developing joint attention is widely accepted, but measurement of outcomes from adult training is rarely reported. Method: Using a single case…