TY - GEN
T1 - A Parallel Education Based Intelligent Tutoring Systems Framework
AU - Jing, Sifeng
AU - Tang, Ying
AU - Liu, Xiwei
AU - Gong, Xiaoyan
AU - Cui, Wei
AU - Liang, Joleen
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/30
Y1 - 2020/10/30
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.
UR - http://www.scopus.com/inward/record.url?scp=85096353623&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096353623&partnerID=8YFLogxK
U2 - 10.1109/ICNSC48988.2020.9238052
DO - 10.1109/ICNSC48988.2020.9238052
M3 - Conference contribution
AN - SCOPUS:85096353623
T3 - 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
BT - 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020
Y2 - 30 October 2020 through 2 November 2020
ER -