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In education, learners no longer perform learning activities in a well-defined and static environment like a physical classroom. Digital learning environments promote learners anytime, anywhere and anyhow learning. As such, the context in which learners undertake these learning activities can be very diverse. To optimize learning and the environment in which it occurs, learning analytics measure data about learners and their context. Unfortunately, current state of the art standards and systems are limited in capturing the context of the learner. In this paper we present a Learning Record Store (LRS), compatible with the Experience API, that is able to capture the learners' context, more concretely his location and used device. We use ontologies to model the xAPI and context information. The data is stored in a RDF triple store to give access to different services. The services will show the advantages of capturing context information. We tested our system by sending statements from 100 learners completing 20 questions to the LRS.
Keywords
Learning Analytics, Ontologies, Experience API, Linked Data, Learning Management System, Learning, Record Store, Context-aware

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Citation

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Chicago
Anseeuw, Jonas, Stijn Verstichel, Femke Ongenae, Ruben Lagatie, Sylvie Venant, and Filip De Turck. 2016. “An Ontology-enabled Context-aware Learning Record Store Compatible with the Experience API.” In KEOD : Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Vol. 2, ed. A Fred, J Dietz, D Aveiro, K Liu, J Bernardino, and J Filipe, 88–95. Setubal, Portugal: SCITEPRESS (Science and and Technology Publications).
APA
Anseeuw, J., Verstichel, S., Ongenae, F., Lagatie, R., Venant, S., & De Turck, F. (2016). An ontology-enabled context-aware learning record store compatible with the experience API. In A Fred, J. Dietz, D. Aveiro, K. Liu, J. Bernardino, & J. Filipe (Eds.), KEOD : proceedings of the 8th international joint conference on knowledge discovery, knowledge engineering and knowledge management, vol. 2 (pp. 88–95). Presented at the 8th International joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KEOD), Setubal, Portugal: SCITEPRESS (Science and and Technology Publications).
Vancouver
1.
Anseeuw J, Verstichel S, Ongenae F, Lagatie R, Venant S, De Turck F. An ontology-enabled context-aware learning record store compatible with the experience API. In: Fred A, Dietz J, Aveiro D, Liu K, Bernardino J, Filipe J, editors. KEOD : proceedings of the 8th international joint conference on knowledge discovery, knowledge engineering and knowledge management, vol. 2. Setubal, Portugal: SCITEPRESS (Science and and Technology Publications); 2016. p. 88–95.
MLA
Anseeuw, Jonas, Stijn Verstichel, Femke Ongenae, et al. “An Ontology-enabled Context-aware Learning Record Store Compatible with the Experience API.” KEOD : Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Vol. 2. Ed. A Fred et al. Setubal, Portugal: SCITEPRESS (Science and and Technology Publications), 2016. 88–95. Print.
@inproceedings{8554096,
  abstract     = {In education, learners no longer perform learning activities in a well-defined and static environment like a physical classroom. Digital learning environments promote learners anytime, anywhere and anyhow learning. As such, the context in which learners undertake these learning activities can be very diverse. To optimize learning and the environment in which it occurs, learning analytics measure data about learners and their context. Unfortunately, current state of the art standards and systems are limited in capturing the context of the learner. In this paper we present a Learning Record Store (LRS), compatible with the Experience API, that is able to capture the learners' context, more concretely his location and used device. We use ontologies to model the xAPI and context information. The data is stored in a RDF triple store to give access to different services. The services will show the advantages of capturing context information. We tested our system by sending statements from 100 learners completing 20 questions to the LRS.},
  author       = {Anseeuw, Jonas and Verstichel, Stijn and Ongenae, Femke and Lagatie, Ruben and Venant, Sylvie and De Turck, Filip},
  booktitle    = {KEOD : proceedings of the 8th international joint conference on knowledge discovery, knowledge engineering and knowledge management, vol. 2},
  editor       = {Fred, A and Dietz, J and Aveiro, D and Liu, K and Bernardino, J and Filipe, J},
  isbn         = {9789897582035},
  keywords     = {Learning Analytics,Ontologies,Experience API,Linked Data,Learning Management System,Learning,Record Store,Context-aware},
  language     = {eng},
  location     = {Porto, Portugal},
  pages        = {88--95},
  publisher    = {SCITEPRESS (Science and and Technology Publications)},
  title        = {An ontology-enabled context-aware learning record store compatible with the experience API},
  url          = {http://dx.doi.org/10.5220/0006049000880095},
  year         = {2016},
}

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