| Sumario: | Abstract: This paper presents a case study of developing and implementing methods to capture, code and comprehend reciprocal social interactions in a three-dimensional virtual learning environment (3D VLE). The environment, iSocial, is being developed to help youth with autism spectrum disorders (ASD) develop social competencies. The approach to identifying, classifying and coding behavior in the 3D VLE uses an adaptation of reciprocal interaction coding methods traditionally used in single-subject research with individuals with ASD. These adaptations consider the unique characteristics of the 3D VLE technology and the nature and context of learning in this type of environment. A description of the coding methods employed is provided. Selected results are presented to illustrate how this methodology can offer detailed descriptions of learning and social interaction behavior in context. Such results demonstrate the potential of this approach for building new knowledge about how learning takes place and progresses in a 3D VLE and for making data-driven design decisions for improving the learning experience in the online social context.
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