Title | ||
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A Web Service Architecture for Tracking and Analyzing Data from Distributed E-Learning Environments |
Abstract | ||
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Modern e-learning systems offer students many interactive learning elements such as videos or quiz questions. For the optimization of the teaching, the learning elements themselves and the prediction of student performance, it is important for educators to figure out how student interactions can be tracked and how the tracked data can be used. Modern learning courses can consist of different Software-as-a-Service products by third-party providers. These learning elements and the associated learning environments can be both heterogeneous and distributed. This requires advanced tracking methods. For these reasons, a tracking architecture that is capable of tracking and integrating the data of different learning environments is needed. Based on the xAPI specification, we provide such an architecture in this paper. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/WETICE.2017.52 | 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) |
Keywords | Field | DocType |
tracking architecture,distributed learning | Educational technology,Interactive Learning,Architecture,E learning,Computer science,Server,Synchronous learning,Multimedia,Web service architecture,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-1760-1 | 1 | 0.42 |
References | Authors | |
12 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexander Askinadze | 1 | 2 | 1.13 |
Stefan Conrad | 2 | 168 | 105.91 |