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Analytics of information flows and decision making in heterogeneous learning ecosystems

Published: 01 October 2014 Publication History

Abstract

Learning Analytics is one of the current trending topics within the research about digital learning or eLearning. This research field includes many other research topics related to both worlds: the world of learning and the world of computers; for example it includes issues related to computers engineering as software architectures, data retrieval, knowledge discovery, etc. Related to the learning it includes issues related to motivation, the understanding process of each student about the learning content, the studies about the learning path of students, etc. This paper presents a PhD project related to Learning Analytics from the point of view of computers engineering; this is, focused on software processes and methodologies to achieve all the needs and phases in order to perform full Learning Analytics processes, even, applying the outcomes of the PhD project in real contexts. This paper describes the work done (and the work to be done) in this PhD project, the different goals posed, the research methodology used, the current results, and the main outcomes expected at the end of the PhD. Also the paper includes some provisional conclusions about the PhD project, identifying some potential problems, and how to avoid them.

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Cited By

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  • (2018)Improving the information society skillsUniversal Access in the Information Society10.1007/s10209-017-0548-617:2(229-245)Online publication date: 1-Jun-2018
  • (2017)Higher Education Disruption Through IoT and Big Data: A Conceptual ApproachLearning and Collaboration Technologies. Novel Learning Ecosystems10.1007/978-3-319-58509-3_31(389-405)Online publication date: 8-Jun-2017

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            cover image ACM Other conferences
            TEEM '14: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality
            October 2014
            711 pages
            ISBN:9781450328968
            DOI:10.1145/2669711
            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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            Publication History

            Published: 01 October 2014

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            Author Tags

            1. algorithms
            2. data visualization
            3. knowledge discovery
            4. knowledge representation
            5. learning analytics

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            View all
            • (2018)Improving the information society skillsUniversal Access in the Information Society10.1007/s10209-017-0548-617:2(229-245)Online publication date: 1-Jun-2018
            • (2017)Higher Education Disruption Through IoT and Big Data: A Conceptual ApproachLearning and Collaboration Technologies. Novel Learning Ecosystems10.1007/978-3-319-58509-3_31(389-405)Online publication date: 8-Jun-2017

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