Paper Info
Title
Integrating and visualizing learner and social data to elicit higher-order indicators in SCALA dashboard
Abstract
The assessment of competencies is a difficult task; on one hand due to its subjective nature, and, on the other one, because of the difficulties to make it scalable and simple. Since ICT are becoming increasingly important learning mediating tools, data stored in learning tools could yield a wealth of information that could serve as an indicator to measure students' progress and the development of competencies. However, the lack of data interoperability among different educational applications imposes a challenge to data mining and analytics that rely on diverse and distributed data. Besides, these educational technologies do neither usually provide a statistics module in which the teacher can obtain specific reports about students' performance, nor visualization tools to summarize student usage data. In response to this weakness, and based on the limitations encountered in existing tools, we have developed an integrated and extensible web tool called SCALA (Scalable Competency Assessment through a Learning Analytics approach) that not only shows but also mines using analytics techniques for the discovery of student patterns and metric relations in web-based educational systems.
Year
DOI
Venue
2014
10.1145/2637748.2638435
I-KNOW
Keywords
Field
DocType
learning analytics,dashboard,information retrieval,computer-assisted instruction,visual analytics,standardization,large-scale interoperability,data integration
Data science,World Wide Web,Learning analytics,Software analytics,Computer science,Web analytics,Visual analytics,Semantic analytics,Cultural analytics,Usage data,Analytics
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Alex Rayón112.07
Mariluz Guenaga2169.13
Asier Núñez310.71