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Ruben Verborgh

Interoperable User Tracking Logs using Linked Data for improved Learning Analytics

Ben De Meester, Sven Lieber, Anastasia Dimou, Ruben Verborgh, and Erik Mannens

Learning analytics can provide adaptive learning and performance support by analyzing user tracking logs. However, data-driven learning is usually confined to a specific context (e.g., learning English within one application), and thus not interoperable across systems or domains. In this paper, we investigate ways to improve integration of data across applications and educational domains, by means of Linked Data, using existing standards such as the Experience API. Using JSON-LD, existing Learning Record Store tools can be used to store the tracking logs, which are then interpreted and aligned as Linked Data. We have applied the solution in an initial data capture resulting in more than two million statements spanning two different applications. This way, we aim to enrich adaptive learning and performance support across contexts.

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Published in 2018 in Proceedings of the 19th International Computer Assisted Language Learning Research Conference.

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Cite this article easily using its BibTeX entry:

@inproceedings{demeester_call_2018,
  author = {De Meester, Ben and Lieber, Sven and Dimou, Anastasia and Verborgh, Ruben and Mannens, Erik},
  title = {Interoperable User Tracking Logs using {Linked Data} for improved Learning Analytics},
  booktitle = {Proceedings of the 19th International Computer Assisted Language Learning Research Conference},
  year = 2018,
  month = jul,
  url = {https://www.call2018.org/wp-content/uploads/2018/07/proceedings-CALL-2018.pdf#page=28},
}

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ACM
Ben De Meester, Sven Lieber, Anastasia Dimou, Ruben Verborgh, and Erik Mannens. 2018. Interoperable User Tracking Logs using Linked Data for improved Learning Analytics. In Proceedings of the 19th International Computer Assisted Language Learning Research Conference.
APA
De Meester, B., Lieber, S., Dimou, A., Verborgh, R., & Mannens, E. (2018, July). Interoperable User Tracking Logs using Linked Data for improved Learning Analytics. Proceedings of the 19th International Computer Assisted Language Learning Research Conference.
IEEE
B. De Meester, S. Lieber, A. Dimou, R. Verborgh, and E. Mannens, “Interoperable User Tracking Logs using Linked Data for improved Learning Analytics,” in Proceedings of the 19th International Computer Assisted Language Learning Research Conference, 2018.
LNCS
De Meester, B., Lieber, S., Dimou, A., Verborgh, R., Mannens, E.: Interoperable User Tracking Logs using Linked Data for improved Learning Analytics. In: Proceedings of the 19th International Computer Assisted Language Learning Research Conference (2018).
MLA
De Meester, Ben, et al. “Interoperable User Tracking Logs Using Linked Data for Improved Learning Analytics.” Proceedings of the 19th International Computer Assisted Language Learning Research Conference, 2018.

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