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  • Hu Y. (2022). Effects and acceptance of precision education in an AI-supported smart learning environment. Education and Information Technologies. 27:2. (2013-2037). Online publication date: 1-Mar-2022.

    https://doi.org/10.1007/s10639-021-10664-3

  • Pazmiño-Maji R, Conde M and García-Peñalvo F. (2021). Learning analytics in Ecuador: a systematic review supported by statistical implicative analysis. Universal Access in the Information Society. 20:3. (495-512). Online publication date: 1-Aug-2021.

    https://doi.org/10.1007/s10209-020-00773-0

  • Aguilar J, Jerez M, Mendonça M and Sánchez M. (2020). Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities. Computing. 102:10. (2199-2228). Online publication date: 1-Oct-2020.

    https://doi.org/10.1007/s00607-020-00799-5

  • Chen X, Zou D, Xie H and Wang F. Smart Learning Environments: A Bibliometric Analysis. Blended Learning. Education in a Smart Learning Environment. (353-364).

    https://doi.org/10.1007/978-3-030-51968-1_29

  • Morales L, Ouedraogo C, Aguilar J, Chassot C, Medjiah S and Drira K. (2019). Experimental comparison of the diagnostic capabilities of classification and clustering algorithms for the QoS management in an autonomic IoT platform. Service Oriented Computing and Applications. 13:3. (199-219). Online publication date: 1-Sep-2019.

    https://doi.org/10.1007/s11761-019-00266-w