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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.

Computer Science --- Engineering & Applied Sciences --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Computational linguistics. --- Education. --- Linguistics --- Data Mining and Knowledge Discovery. --- Computational Linguistics. --- Mathematics in the Humanities and Social Sciences. --- Educational Technology. --- Philosophy of Language. --- Philosophy. --- Children --- Education, Primitive --- Education of children --- Human resource development --- Instruction --- Pedagogy --- Schooling --- Students --- Youth --- Civilization --- Learning and scholarship --- Mental discipline --- Schools --- Teaching --- Training --- Automatic language processing --- Language and languages --- Language data processing --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Education --- Data processing --- Mathematics. --- Social sciences. --- Educational technology. --- Language and languages—Philosophy. --- Instructional technology --- Technology in education --- Technology --- Educational innovations --- Instructional systems --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Math --- Science --- Aids and devices --- R (Computer program language). --- GNU-S (Computer program language) --- Domain-specific programming languages --- R (Computer program language)