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Analysing users' access logs in Moodle to improve e learning

Published: 14 May 2007 Publication History

Abstract

In this work the UFSC (Federal University of Santa Catarina) and the FGV-RJ (Fundação Getúlio Vargas do Rio de Janeiro) jointly propose the use of a data mining tool to support the analysis of trends, students profiles, as well as to estimate or foresee the usability level of courses being offered, via Moodle, in the Education area. The study carried out by UFSC on the Moodle database allowed a deep understanding of its database, thus making it easier for the Moodle community to execute important tasks, such as the maintenance of the Moodle database, its adaptation following an institutional customization, and, also, a data mart project by the FGV-Online Program to make the necessary analysis possible. In the end of this paper, an example on its applicability is presented, using the association rules technique. Once a data mart oriented to the analysis of the system's usability is developed, various analyses with different objectives can be executed using the database. Some may use the method proposed here or others, including different data mining approaches, such as clustering, neural networks etc. As such, a new contribution is given to the Moodle community.

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    cover image ACM Conferences
    EATIS '07: Proceedings of the 2007 Euro American conference on Telematics and information systems
    May 2007
    498 pages
    ISBN:9781595935984
    DOI:10.1145/1352694
    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 ACM 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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    Published: 14 May 2007

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    Author Tags

    1. LMS
    2. Moodle
    3. data mart
    4. data mining
    5. e-learning

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    • (2023)Deploying SDG Knowledge to Foster Young People’s Critical Values: A Study on Social Trends about SDGs in an Educational Online ActivitySustainability10.3390/su1508668115:8(6681)Online publication date: 14-Apr-2023
    • (2022)Learning about Student Performance from Moodle logs in a Higher Education Context2022 XII International Conference on Virtual Campus (JICV)10.1109/JICV56113.2022.9934413(1-4)Online publication date: 29-Sep-2022
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