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  1. Research Outputs

Lesson observation data in learning analytics datasets: Observata

Chapter
Publication Date:
2017
Short description:
Lesson observation data in learning analytics datasets: Observata / Eradze, M.; Laanpere, M.. - 10474:(2017), pp. 504-508. [10.1007/978-3-319-66610-5_50]
abstract:
Observational data can be used to illuminate different areas of teaching and learning process and enrich Learning Analytics data. Majority of lesson observation tools provide observational data that is not compliant with LA datasets. The paper presents Observata – a tablet computer application for context-aware semantic annotations of significant events during real time lesson observations. During the demo-session we expect the participants to engage in the discussion and provide feedback on the prototype.
Iris type:
Capitolo/Saggio
Keywords:
Classroom observations; Learning analytics; Learning design; Multimodal learning analytics; Semantic annotations
List of contributors:
Eradze, M.; Laanpere, M.
Handle:
https://iris.unimore.it/handle/11380/1221829
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
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