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Clickstream for learning analytics to assess students’ behavior with Scratch

Author
Amo, D.; Alier, M.; García-Peñalvo, F.J.; Fonseca, D.; Casany, M.J.
Type of activity
Journal article
Journal
Future generation computer systems
Date of publication
2019-04
Volume
93
First page
673
Last page
686
DOI
10.1016/j.future.2018.10.057
Repository
http://hdl.handle.net/2117/130122 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0167739X18313499 Open in new window
Abstract
The construction of knowledge through computational practice requires to teachers a substantial amount of time and effort to evaluate programming skills, to understand and to glimpse the evolution of the students and finally to state a quantitative judgment in learning assessment. The field of learning analytics has been a common practice in research since last years due to their great possibilities in terms of learning improvement. Both, Big and Small data techniques support the analysis cycle ...
Citation
Amo, D. [et al.]. Clickstream for learning analytics to assess students’ behavior with Scratch. "Future generation computer systems", Abril 2019, vol. 93, p. 673-686.
Keywords
Big data, Clickstream, Learning analytics, Programming, Scratch
Group of research
SUSHITOS - Services for Ubiquitous, Social and Humanistic Information Technologies and Open Source

Participants