A Parallel Education Based Intelligent Tutoring Systems Framework

Sifeng Jing, Ying Tang, Xiwei Liu, Xiaoyan Gong, Wei Cui, Joleen Liang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    although online education has improved efficiency of learners' access to high-quality educational resources, realtime interaction between instructors and learners have not yet been achieved in online personalized learning. Intelligent Tutoring Systems (ITS) provides a feasible way to realize realtime personalized learning guidance and resource recommendations by applying AI to capture and analyze online learners' characteristics and behaviors. In this paper, reviews and trends of ITS are discussed and three challenges of ITS research development are pointed out: learner model, guidance mechanism and human-computer interaction mechanism. In order to address these issues, parallel intelligence theory is introduced and a parallel intelligence education based ITS framework is proposed.

    Original languageEnglish (US)
    Title of host publication2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728168531
    DOIs
    StatePublished - Oct 30 2020
    Event2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020 - Nanjing, China
    Duration: Oct 30 2020Nov 2 2020

    Publication series

    Name2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020

    Conference

    Conference2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
    CountryChina
    CityNanjing
    Period10/30/2011/2/20

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Statistics, Probability and Uncertainty
    • Control and Optimization
    • Sensory Systems

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