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

Observing the use of e-textbooks in the classroom: Towards “offline” learning analytics

Chapter
Publication Date:
2014
Short description:
Observing the use of e-textbooks in the classroom: Towards “offline” learning analytics / Eradze, M.; Valjataga, T.; Laanpere, M.. - 8699:(2014), pp. 254-263. [10.1007/978-3-319-13296-9_28]
abstract:
Learning analytics is an emerging approach that is equally popular among researchers and educators-practitioners. Although the methods and tools for LA have been developing fast, there still exist several unsolved problems: LA is too much data driven, weakly connected to theory and is able to analyse only the activities documented in an online setting - in LMS. We propose a solution for the LA unit of analysis drawing upon the research of existing practices and tools used for offline contexts: the data is coming from the physical learning interactions based on the observations in the classroom setting and captured with classroom observation application. We argue that if the unit of analysis has a particular logic and structure, it can unleash the possibilities for “offline” analytics that can be later integrated with online LA.
Iris type:
Capitolo/Saggio
Keywords:
eTextbooks; LEARMIX; Learning analytics; TinCan API; Unit of analysis; xAPI
List of contributors:
Eradze, M.; Valjataga, T.; Laanpere, M.
Handle:
https://iris.unimore.it/handle/11380/1221823
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