Learning Analytics in R with SNA, LSA, and MPIA

• Κύριος συγγραφέας: Wild, Fridolin (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Computer science.; Language and languages > Philosophy.; Data mining.; Mathematics.; Social sciences.; Computational linguistics.; Educational technology.; Computer Science.; Data Mining and Knowledge Discovery.; Computational Linguistics.; Mathematics in the Humanities and Social Sciences.; Educational Technology.; Philosophy of Language.

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 kno...

Πίνακας περιεχομένων:

• Preface
• 1.Introduction
• 2.Learning Theory and Algorithmic Quality Characteristics
• 3.Representing and Analysing Purposiveness with SNA
• 4.Representing and Analysing Meaning with LSA
• 5.Meaningful, Purposive Interaction Analysis
• 6.Visual Analytics Using Vector Maps as Projection Surfaces
• 7.Calibrating for Specific Domains
• 8.Implementation: The MPIA Package
• 9.MPIA in Action: Example Learning Analytics
• 10.Evaluation
• 11.Conclusion and Outlook
• Annex A: Classes and Methods of the MPIA Package.