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Semantic Annotation of Ubiquitous Learning Environments

Published: 01 January 2012 Publication History

Abstract

Skills-based learning environments are used to promote the acquisition of practical skills as well as decision making, communication, and problem solving. It is important to provide feedback to the students from these sessions and observations of their actions may inform the assessment process and help researchers to better understand the learning process. Through a series of prototype demonstrators, we have investigated the use of semantic annotation in the recording and subsequent understanding of such simulation environments. Our Semantic Web approach is outlined and conclusions drawn as to the suitability of different annotation methods and their combination with ubiquitous computing techniques to provide novel mechanisms for both student feedback and increased understanding of the learning environment.

Cited By

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  • (2020)Ubiquitous Learning: ASystematic Review2019 IEEE Frontiers in Education Conference (FIE)10.1109/FIE43999.2019.9028361(1-9)Online publication date: 17-Jun-2020
  • (2019)Fuzzy-MCS algorithm-based ontology generation for e-assessmentInternational Journal of Business Intelligence and Data Mining10.1504/ijbidm.2019.09995914:4(458-472)Online publication date: 1-Jan-2019
  • (2018)Ubiquitous and Ambient Intelligence Assisted Learning Environment Infrastructures Development - a reviewEducation and Information Technologies10.1007/s10639-017-9618-x23:1(569-598)Online publication date: 1-Jan-2018
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  1. Semantic Annotation of Ubiquitous Learning Environments

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    Information & Contributors

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    Published In

    cover image IEEE Transactions on Learning Technologies
    IEEE Transactions on Learning Technologies  Volume 5, Issue 2
    January 2012
    92 pages

    Publisher

    IEEE Computer Society Press

    Washington, DC, United States

    Publication History

    Published: 01 January 2012

    Author Tags

    1. Semantic Web
    2. Semantic annotation
    3. case study.
    4. ubiquitous computing

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    Cited By

    View all
    • (2020)Ubiquitous Learning: ASystematic Review2019 IEEE Frontiers in Education Conference (FIE)10.1109/FIE43999.2019.9028361(1-9)Online publication date: 17-Jun-2020
    • (2019)Fuzzy-MCS algorithm-based ontology generation for e-assessmentInternational Journal of Business Intelligence and Data Mining10.1504/ijbidm.2019.09995914:4(458-472)Online publication date: 1-Jan-2019
    • (2018)Ubiquitous and Ambient Intelligence Assisted Learning Environment Infrastructures Development - a reviewEducation and Information Technologies10.1007/s10639-017-9618-x23:1(569-598)Online publication date: 1-Jan-2018
    • (2015)Monitoring and enhancing nurse emergency training with wearable devicesAdjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers10.1145/2800835.2807941(1261-1267)Online publication date: 7-Sep-2015
    • (2015)Impact on Student Motivation by Using a QR-Based U-Learning Material Production System to Create Authentic Learning ExperiencesIEEE Transactions on Learning Technologies10.1109/TLT.2015.24167178:4(367-382)Online publication date: 1-Oct-2015
    • (2014)Context-aware recommender for mobile learnersHuman-centric Computing and Information Sciences10.1186/s13673-014-0012-z4:1(1-34)Online publication date: 1-Dec-2014
    • (2013)WebAnnotInternational Journal of Technology Enhanced Learning10.1504/IJTEL.2013.0559495:1(56-84)Online publication date: 1-Aug-2013

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