DocumentCode :
240615
Title :
Using Stratified Attribute Tracking (SAT) Diagrams for Learning Analytics
Author :
Majumdar, Rwitajit ; Iyer, Srikrishna
Author_Institution :
Inter-Disciplinary Program in Educ. Technol., Indian Inst. of Technol. Bombay, Mumbai, India
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
386
Lastpage :
387
Abstract :
We have created a visual representation called Stratified Attribute Tracking (SAT) Diagram to explicate trends that are otherwise implicit in learning analytics data. SAT Diagram is a unified graph that enables tracking individual attribute values in a dataset and stratifying them according to criteria set by the researcher. SAT diagram represents the transition of samples between strata across attributes. In this paper we introduce the SAT diagram and illustrate how to generate, interpret and analyze them. We believe the process of SAT diagram generation would enable exploring deeper research questions on learning data.
Keywords :
computer aided instruction; data analysis; data visualisation; SAT diagram generation; learning analytics data; stratified attribute tracking; Aggregates; Conferences; Data mining; Data visualization; Educational technology; Market research; Visualization; Data visualization; Information representations; Learning Analytics; SAT Diagram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/ICALT.2014.115
Filename :
6901489
Link To Document :
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