Data di Pubblicazione:
2015
Citazione:
Analyzing learning flows in digital learning ecosystems / Eradze, M., Pata, K., Laanpere, M. (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE). - In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY : Springer Verlag, 2015. - ISBN 9783662463147. - pp. 63-72 [10.1007/978-3-662-46315-4_7]
Abstract:
This paper envisages emerging trends and methods in learning analytics for post-LMS era, where learning increasingly takes place in distributed, user-defined digital learning ecosystems. Inspired by the recent developments on uptake framework and Experience API, we propose learning flow as the main unit of analysis while studying learning-related interactions.
Tipologia CRIS:
Capitolo/Saggio
Elenco autori:
Eradze, M.; Pata, K.; Laanpere, M.
Link alla scheda completa:
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in: