Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills
  1. Research Outputs

Analyzing learning flows in digital learning ecosystems

Chapter
Publication Date:
2015
Short description:
Analyzing learning flows in digital learning ecosystems / Eradze, M.; Pata, K.; Laanpere, M.. - 8390:(2015), 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.
Iris type:
Capitolo/Saggio
List of contributors:
Eradze, M.; Pata, K.; Laanpere, M.
Handle:
https://iris.unimore.it/handle/11380/1221821
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Published in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.4.5.0