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Attention please!: learning analytics for visualization and recommendation

Published: 27 February 2011 Publication History

Abstract

This paper will present the general goal of and inspiration for our work on learning analytics, that relies on attention metadata for visualization and recommendation. Through information visualization techniques, we can provide a dashboard for learners and teachers, so that they no longer need to "drive blind". Moreover, recommendation can help to deal with the "paradox of choice" and turn abundance from a problem into an asset for learning.

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    cover image ACM Other conferences
    LAK '11: Proceedings of the 1st International Conference on Learning Analytics and Knowledge
    February 2011
    195 pages
    ISBN:9781450309448
    DOI:10.1145/2090116
    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]

    Sponsors

    • Gates: Bill & Melinda Gates Foundation
    • TEKRI: Technology-Enhanced Knowledge Research Institute
    • Kaplan: Kaplan Ventures
    • Desire2Learn: Desire2Learn Inc.
    • University of Queensland: University of Queensland

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 February 2011

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    Author Tags

    1. learning analytics
    2. recommendation
    3. visualization

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    • Keynote

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    LAK 2011
    Sponsor:
    • Gates
    • TEKRI
    • Kaplan
    • Desire2Learn
    • University of Queensland

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    Overall Acceptance Rate 236 of 782 submissions, 30%

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    • (2024)AI Integrated Model Design for Education System for Analytical Computation (Mathematics)2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE60783.2024.10616503(1412-1417)Online publication date: 14-May-2024
    • (2024)Developing and validating interoperable ontology-driven game-based assessmentsExpert Systems with Applications10.1016/j.eswa.2024.123370248(123370)Online publication date: Aug-2024
    • (2024)Navigating the ethical landscape of multimodal learning analytics: a guiding frameworkEthics in Online AI-based Systems10.1016/B978-0-443-18851-0.00014-7(25-53)Online publication date: 2024
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    • (2023)They shall be fair, transparent, and robust: auditing learning analytics systemsAI and Ethics10.1007/s43681-023-00292-74:2(555-571)Online publication date: 11-May-2023
    • (2023)Active reading dashboard in a learning analytics enhanced language-learning environment: effects on learning behavior and performanceJournal of Computers in Education10.1007/s40692-023-00267-x11:2(495-522)Online publication date: 22-Mar-2023
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