A Parallel Education Based Intelligent Tutoring Systems Framework

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

doi:10.1109/ICNSC48988.2020.9238052

A Parallel Education Based Intelligent Tutoring Systems Framework

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

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728168531
DOIs	https://doi.org/10.1109/ICNSC48988.2020.9238052
State	Published - Oct 30 2020
Event	2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020 - Nanjing, China Duration: Oct 30 2020 → Nov 2 2020

Publication series

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

Conference

Conference	2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
Country	China
City	Nanjing
Period	10/30/20 → 11/2/20

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/ICNSC48988.2020.9238052

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Jing, S., Tang, Y., Liu, X., Gong, X., Cui, W., & Liang, J. (2020). A Parallel Education Based Intelligent Tutoring Systems Framework. In 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020 [9238052] (2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNSC48988.2020.9238052

Jing, Sifeng ; Tang, Ying ; Liu, Xiwei ; Gong, Xiaoyan ; Cui, Wei ; Liang, Joleen. / A Parallel Education Based Intelligent Tutoring Systems Framework. 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020).

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title = "A Parallel Education Based Intelligent Tutoring Systems Framework",

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.",

author = "Sifeng Jing and Ying Tang and Xiwei Liu and Xiaoyan Gong and Wei Cui and Joleen Liang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020 ; Conference date: 30-10-2020 Through 02-11-2020",

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doi = "10.1109/ICNSC48988.2020.9238052",

language = "English (US)",

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Jing, S, Tang, Y, Liu, X, Gong, X, Cui, W & Liang, J 2020, A Parallel Education Based Intelligent Tutoring Systems Framework. in 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020., 9238052, 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020, Nanjing, China, 10/30/20. https://doi.org/10.1109/ICNSC48988.2020.9238052

A Parallel Education Based Intelligent Tutoring Systems Framework. / Jing, Sifeng; Tang, Ying; Liu, Xiwei; Gong, Xiaoyan; Cui, Wei; Liang, Joleen.

2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9238052 (2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A Parallel Education Based Intelligent Tutoring Systems Framework

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N2 - 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.

AB - 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.

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BT - 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020

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Jing S, Tang Y, Liu X, Gong X, Cui W, Liang J. A Parallel Education Based Intelligent Tutoring Systems Framework. In 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9238052. (2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020). https://doi.org/10.1109/ICNSC48988.2020.9238052