TY - GEN digital ID - 131563294 TI - Learning Analytics in R with SNA, LSA, and MPIA PY - 2016 SN - 9783319287911 PB - Cham Springer International Publishing DB - UniCat KW - Philosophy KW - Social sciences (general) KW - Sociology KW - Computer assisted instruction KW - Audiovisual methods KW - Mathematics KW - Computer science KW - Computer architecture. Operating systems KW - Information systems KW - Philosophy of language KW - Mathematical linguistics KW - Linguistics KW - onderwijstechnologie KW - spraaktechnologie KW - sociologie KW - computers KW - filosofie KW - sociale wetenschappen KW - computerondersteund onderwijs KW - linguïstiek KW - taalfilosofie KW - database management KW - wiskunde KW - computerkunde KW - data acquisition UR - https://www.unicat.be/uniCat?func=search&query=sysid:131563294 AB - This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape 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. The book provides comprehensive package-by-package application examples, and code samples that guide the reader through the MPIA model to show how the MPIA landscape can be constructed and the learner’s journey mapped and analysed. This building block application will allow the reader to progress to using and building analytics to guide students and support decision-making in learning. ER -