’Learning’ means building competence through (targeted) conversation between an aspirant and a typically more experienced other. Such conversation, – particularly when born digital in form of messages, essays, articles, or books available online –, can be subjected to analysis, looking into both the developed conceptual structures as well as the social interaction leading to them.

Meaningful Purposive Interaction Analysis (MPIA) was developed to facilitate the analysis of social appropriation of meaning. It uses conceptual spaces constructed from the conversational content collected from networked learning activity in order to represent persons and their competence demonstrated.

MPIA is dervied from the same mathematical foundation as latent semantic analysis and (social) network analysis, sharing their advantages, while at the same time overcoming some of their short- comings.

The package can be downloaded here:
File: mpia_0.71.tar.gz (14.4 MB)