skip to main content
10.1145/3267305.3267573acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
poster

MARTO: Dynamic Control of Learning Materials Based on Learners State

Published: 08 October 2018 Publication History

Abstract

E-learning using digital learning materials is widespread due to freedom in choosing time and space for learning. Often, these learning materials are provided uniformly regardless of the learners' knowledge and the attention. However, to maximize the power of digitized materials, the presented materials can be dynamically adapted to the learner's state of learning, in particular, the degree of concentration. Based on the background, we propose MARTO, a system to change the content of learning based on the concentration level of the learner using an EEG. We have also examined how properly the concentration level is obtained with EEG by comparing it with the result obtained with eye gaze movement.

References

[1]
S. M. Alarcão, and M. J. Fonseca, "Emotion recognition using EEG signals: a survey", IEEE Trans. on Affective Computing, June 2017.
[2]
S. Tanabe, R. Nagase, K. Fujita, H. Touyama, and Y. Tobe, "HOKAGE: Providing the Attention Level of a Remote User Using EEG", 2nd Int. Workshop on Smart Sensing Systems, 2017.

Cited By

View all
  • (2021)A Literature Review of Physiological-Based Mobile Educational SystemsIEEE Transactions on Learning Technologies10.1109/TLT.2021.309831514:3(272-291)Online publication date: 1-Jun-2021

Index Terms

  1. MARTO: Dynamic Control of Learning Materials Based on Learners State

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
    October 2018
    1881 pages
    ISBN:9781450359665
    DOI:10.1145/3267305
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    In-Cooperation

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 October 2018

    Check for updates

    Author Tags

    1. EEG
    2. concentration
    3. education

    Qualifiers

    • Poster
    • Research
    • Refereed limited

    Conference

    UbiComp '18
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 764 of 2,912 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 23 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2021)A Literature Review of Physiological-Based Mobile Educational SystemsIEEE Transactions on Learning Technologies10.1109/TLT.2021.309831514:3(272-291)Online publication date: 1-Jun-2021

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media