Paper Info
Title
Analytics of information flows and decision making in heterogeneous learning ecosystems
Abstract
Learning Analytics is one of the current trending topics within the research about digital learning or eLearning. This research field includes many other research topics related to both worlds: the world of learning and the world of computers; for example it includes issues related to computers engineering as software architectures, data retrieval, knowledge discovery, etc. Related to the learning it includes issues related to motivation, the understanding process of each student about the learning content, the studies about the learning path of students, etc. This paper presents a PhD project related to Learning Analytics from the point of view of computers engineering; this is, focused on software processes and methodologies to achieve all the needs and phases in order to perform full Learning Analytics processes, even, applying the outcomes of the PhD project in real contexts. This paper describes the work done (and the work to be done) in this PhD project, the different goals posed, the research methodology used, the current results, and the main outcomes expected at the end of the PhD. Also the paper includes some provisional conclusions about the PhD project, identifying some potential problems, and how to avoid them.
Year
DOI
Venue
2014
10.1145/2669711.2669977
TEEM
Keywords
Field
DocType
algorithms,learning analytics,human factors,knowledge representation,computer-assisted instruction,distance learning,knowledge discovery,computer-managed instruction,data visualization,collaborative learning
Digital learning,Data science,Learning sciences,Knowledge representation and reasoning,Data visualization,Software analytics,Learning analytics,Computer science,Knowledge management,Knowledge extraction,Analytics
Conference
Citations 
PageRank 
References 
2
0.36
11
Authors
3
Name
Order
Citations
PageRank
Juan Cruz-Benito19414.32
Roberto Therón240460.72
Francisco José García Peñalvo3728125.65