The R package ‘mpia’ provides a computational model to understand, analyse, and advise on human learning.
Meaningful Purposive Interaction Analysis (MPIA) combines the ‘best of’ from social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning spaces from the digital traces left by a learning community in the co-construction of knowledge.
The hybrid algorithm is implemented in the statistical programming language and environment R, introducing packages which capture – through matrix algebra – elements of learners’ work with more knowledgeable others and resourceful content artefacts. This building block application allows to use and build analytics to guide students and support decision-making in learning.
The package can be downloaded here:
Photo: Sonia Bernac