Abstract
The Learners of the current generation have grown up with digital technologies. However, these new sets and ability to learn whenever wherever are highly appreciated by learners and educators. In the context of the learning analytics and adaptation, this evolution creates various challenges, such as the learner’s data tracking and interoperability between learning systems. In this paper we shortly describe the xAPI, compare it to its predecessor of learner profile standards interoperability and present our proposed architecture to provide an interoperable exchanged learner’s profile exploiting the features offered by xAPI. Furthermore, this solution offer adapted learning content to the learner according to his formal and informal activities, which are monitored via xAPI.
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Sbihi, B., El-Kadiri, K.E., Aknin, N.: Towards a mixed methodology based on the groups of Vblog and Vwiki to the collaborative E-learning. ARPN J. Syst. Softw. 3(3) (2013)
Assad, M., Carmicheal, D.J., Kay, J., Kummerfeld, B.: PersonisAD: distributed active, scrutable model framework for context-aware services. In: Proceedings of International Conference on Pervasive Computing, pp. 55–72 (2007)
Dolog, P., Schäfer, M.: A framework for browsing, manipulating and maintaining interoperable learner profiles. In: Proceedings of International Conference on User Modeling, pp. 397–401 (2005)
Walsh, E., O’Connor, A., Wade, V.: The FUSE domain aware approach to user model interoperability: a comparative study. In: Proceedings of International Conference on Information Reuse and Integration ’14, pp. 554–561 (2013)
Rezgui, K., Mhiri, H., Ghédira, K.: An ontology-based profile for learner representation in learning networks. Int. J. Emerg. Technol. Learn. 9(7), 16–25 (2014). http://dx.doi.org/10.3991/ijet.v9i3.3305
Miller, F., Partridge, H., Bruce, C., Hemmings, B.: Designing informal learning experiences for early career academics using a knowledge ecosystem model. J. Further High. Educ. 41(5), 692–705 (2016)
Warpechowski, M., de Oliveira, J.P.M.: Retrieval of learning objects metadata in AdaptWeb. In: Proceedings of International Conference Advanced Information Systems Engineering, vol. 05, pp. 735–748 (2005)
Nehiri, N., Aknin, N.: New architecture to exchange learner’s data between e-learning systems using xapi. In: Proceedings of International Conference on Technology, Education and Development ’11, pp. 9611–9617 (2017)
Rivera, L.F.Z., Larrondo Petrie, M.M.: Models of collaborative remote laboratories and integration with learning environments. Int. J. Online Biomed. Eng. 12(9), 14–21 (2016). http://dx.doi.org/10.3991/ijoe.v12i09.6129
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Nehiri, N., Aknin, N. (2020). New Learning Architecture for Effective Interoperability of Learner’s Data Management. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1102. Springer, Cham. https://doi.org/10.1007/978-3-030-36653-7_18
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DOI: https://doi.org/10.1007/978-3-030-36653-7_18
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