article

Learning analytics tasks as services in smart classrooms

Authors:

Manuel Sánchez,

Priscila Valdiviezo-Díaz,

Luis Barba-Guamán,

Luis Chamba-ErasAuthors Info & Claims

Universal Access in the Information Society, Volume 17, Issue 4

Pages 693 - 709

Published: 01 November 2018 Publication History

Abstract

A smart classroom integrates the different components in a traditional classroom, by using different technologies as artificial intelligence, ubiquitous, and cloud paradigms, among others, in order to improve the learning process. On the other hand, the learning analytics tasks are a set of tools that can be used to collect and analyze the data accumulated in a smart classroom. In this paper, we propose the definition of the learning analytics tasks as services, which can be invoked by the components of a smart classroom. We describe how to combine the cloud and multi-agent paradigms in a smart classroom, in order to provide academic services to the intelligent and non-intelligent agents in the smart classroom, to adapt and respond to the teaching and learning requirements of students. Additionally, we define a set of learning analytics tasks as services, which defines a knowledge feedback loop for the smart classroom, in order to improve the learning process in it, and we explain how they can be invoked and consumed by the agents in a smart classroom.

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Cited By

Hu Y(2022)Effects and acceptance of precision education in an AI-supported smart learning environmentEducation and Information Technologies10.1007/s10639-021-10664-327:2(2013-2037)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1007/s10639-021-10664-3
Pazmiño-Maji RConde MGarcía-Peñalvo F(2021)Learning analytics in Ecuador: a systematic review supported by statistical implicative analysisUniversal Access in the Information Society10.1007/s10209-020-00773-020:3(495-512)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s10209-020-00773-0
Aguilar JJerez MMendonça MSánchez M(2020)Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart citiesComputing10.1007/s00607-020-00799-5102:10(2199-2228)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s00607-020-00799-5
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cover image Universal Access in the Information Society

Universal Access in the Information Society Volume 17, Issue 4

November 2018

203 pages

ISSN:1615-5289

EISSN:1615-5297

Issue’s Table of Contents

Copyright © Copyright © 2018 Springer-Verlag GmbH Germany, part of Springer Nature.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 November 2018

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Cited By

Hu Y(2022)Effects and acceptance of precision education in an AI-supported smart learning environmentEducation and Information Technologies10.1007/s10639-021-10664-327:2(2013-2037)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1007/s10639-021-10664-3
Pazmiño-Maji RConde MGarcía-Peñalvo F(2021)Learning analytics in Ecuador: a systematic review supported by statistical implicative analysisUniversal Access in the Information Society10.1007/s10209-020-00773-020:3(495-512)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s10209-020-00773-0
Aguilar JJerez MMendonça MSánchez M(2020)Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart citiesComputing10.1007/s00607-020-00799-5102:10(2199-2228)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s00607-020-00799-5
Chen XZou DXie HWang F(2020)Smart Learning Environments: A Bibliometric AnalysisBlended Learning. Education in a Smart Learning Environment10.1007/978-3-030-51968-1_29(353-364)Online publication date: 24-Aug-2020
https://dl.acm.org/doi/10.1007/978-3-030-51968-1_29
Morales LOuedraogo CAguilar JChassot CMedjiah SDrira K(2019)Experimental comparison of the diagnostic capabilities of classification and clustering algorithms for the QoS management in an autonomic IoT platformService Oriented Computing and Applications10.1007/s11761-019-00266-w13:3(199-219)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s11761-019-00266-w

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