Abstract
Interactive visual data analysis is a well-established class of methods to gather knowledge from raw and complex data. A broad variety of examples can be found in literature presenting its applicability in various ways and different scientific domains. However, fully fledged solutions for visual analysis addressing learning analytics are still rare. Therefore, this paper will discuss visual and interactive data analysis for learning analytics by presenting best practices followed by a discussion of a general architecture combining interactive visualization employing the Information Seeking Mantra in conjunction with the paradigm of coordinated multiple views. Finally, by presenting a use case for ubiquitous learning analytics its applicability will be demonstrated with the focus on temporal and spatial relation of learning data. The data is gathered from a ubiquitous learning scenario offering information for students to identify learning partners and provides information to teachers enabling the adaption of their learning material.
| Original language | English |
|---|---|
| Pages (from-to) | 65-69 |
| Number of pages | 5 |
| Journal | CEUR Workshop Proceedings |
| Volume | 1601 |
| Publication status | Published - 2016 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
Cite this
Web-based interactive and visual data analysis for ubiquitous learning analytics. / Weyers, Benjamin; Nowke, Christian; Kuhlen, Torsten W.; Kousuke, Mouri; Ogata, Hiroaki.
In: CEUR Workshop Proceedings, Vol. 1601, 2016, p. 65-69.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Web-based interactive and visual data analysis for ubiquitous learning analytics
AU - Weyers, Benjamin
AU - Nowke, Christian
AU - Kuhlen, Torsten W.
AU - Kousuke, Mouri
AU - Ogata, Hiroaki
PY - 2016
Y1 - 2016
N2 - Interactive visual data analysis is a well-established class of methods to gather knowledge from raw and complex data. A broad variety of examples can be found in literature presenting its applicability in various ways and different scientific domains. However, fully fledged solutions for visual analysis addressing learning analytics are still rare. Therefore, this paper will discuss visual and interactive data analysis for learning analytics by presenting best practices followed by a discussion of a general architecture combining interactive visualization employing the Information Seeking Mantra in conjunction with the paradigm of coordinated multiple views. Finally, by presenting a use case for ubiquitous learning analytics its applicability will be demonstrated with the focus on temporal and spatial relation of learning data. The data is gathered from a ubiquitous learning scenario offering information for students to identify learning partners and provides information to teachers enabling the adaption of their learning material.
AB - Interactive visual data analysis is a well-established class of methods to gather knowledge from raw and complex data. A broad variety of examples can be found in literature presenting its applicability in various ways and different scientific domains. However, fully fledged solutions for visual analysis addressing learning analytics are still rare. Therefore, this paper will discuss visual and interactive data analysis for learning analytics by presenting best practices followed by a discussion of a general architecture combining interactive visualization employing the Information Seeking Mantra in conjunction with the paradigm of coordinated multiple views. Finally, by presenting a use case for ubiquitous learning analytics its applicability will be demonstrated with the focus on temporal and spatial relation of learning data. The data is gathered from a ubiquitous learning scenario offering information for students to identify learning partners and provides information to teachers enabling the adaption of their learning material.
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M3 - Article
VL - 1601
SP - 65
EP - 69
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -