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A decision support system to improve e-learning environments

Published: 22 March 2010 Publication History

Abstract

Nowadays, due to the lack of face-to-face contact, distance course instructors have real difficulties knowing who their students are, how their students behave in the virtual course, what difficulties they find, what probability they have of passing the subject, in short, they need to have feedback which helps them to improve the learning-teaching process. Although most Learning Content Management Systems (LCMS) offer a reporting tool, in general, these do not show a clear vision of each student's academic progression. In this work, we propose a decision making system which helps instructors to answer these and other questions using data mining techniques applied to data from LCMSs databases. The goal of this system is that instructors do not require data mining knowledge, they only need to request a pattern or model, interpret the result and take the educational actions which they consider necessary.

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    cover image ACM Other conferences
    EDBT '10: Proceedings of the 2010 EDBT/ICDT Workshops
    March 2010
    290 pages
    ISBN:9781605589909
    DOI:10.1145/1754239
    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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    New York, NY, United States

    Publication History

    Published: 22 March 2010

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    Author Tags

    1. data mining
    2. data warehouse
    3. distance education
    4. e-learning
    5. web mining

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    EDBT/ICDT '10
    EDBT/ICDT '10: EDBT/ICDT '10 joint conference
    March 22 - 26, 2010
    Lausanne, Switzerland

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    • (2023)A multi-criteria decision-making (MCDM) approach for data-driven distance learning recommendationsEducation and Information Technologies10.1007/s10639-023-11589-928:8(10421-10458)Online publication date: 26-Jan-2023
    • (2022)Use of Data mining Tools in Educational Data Mining2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT)10.1109/CCiCT56684.2022.00075(380-387)Online publication date: Jul-2022
    • (2022)Collaborative decision-making in online educationProcedia Computer Science10.1016/j.procs.2022.01.138199(1090-1094)Online publication date: 2022
    • (2020)An e-Learning Toolbox Based on Rule-Based Fuzzy ApproachesApplied Sciences10.3390/app1019680410:19(6804)Online publication date: 28-Sep-2020
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