Learning barriers diagnosis based on fuzzy rules for adaptive learning systems

被引：17

作者：

Chen, Shyi-Ming ^{[1
,2
]}

Bai, Shih-Ming ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan

[2] Jinwen Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei Cty, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 08期

关键词：

Learning problems diagnosis; Learning barriers analysis; Learning barrier detection; Learning guidance; Fuzzy rules;

D O I：

10.1016/j.eswa.2009.02.084

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To diagnose learning barriers of learners is an important research topic of adaptive learning systems. In recent years, some methods have been presented for diagnosing learning problems of learners for adaptive learning systems. In this paper, we present a new method to diagnose learning barriers of learners based on fuzzy rules. The proposed method evaluates the learning degree and infers the probability of learning barriers of the learners based on fuzzy rules. It provides us a useful way to diagnose the learning barriers of the learners in adaptive learning systems. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：11211 / 11220

页数：10

共 50 条

[1] A new method for learning barriers diagnosis based on fuzzy rules
Bai, Shih-Ming
Chen, Shyi-Ming
[J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 3090 - 3095
[2] Evolutionary learning, reinforcement learning, and fuzzy rules for knowledge acquisition in agent-based systems
Bonarini, A
[J]. PROCEEDINGS OF THE IEEE, 2001, 89 (09) : 1334 - 1346
[3] Broad Learning Based Dynamic Fuzzy Inference System With Adaptive Structure and Interpretable Fuzzy Rules
Bai, Kaiyuan
Zhu, Xiaomin
Wen, Shiping
Zhang, Runtong
Zhang, Wenyu
[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (08) : 3270 - 3283
[4] An Efficient Adaptive Fuzzy Learning Diagnosis Method for E-Learning
Yang, Yu-Sheng
Chuang, Po-Jen
Huang, Ching-Yi
Hoz, Ting-Wei
Yang, Chu-Sing
[J]. JOURNAL OF INTERNET TECHNOLOGY, 2015, 16 (03): : 391 - 401
[5] Automatically constructing concept maps based on fuzzy rules for adapting learning systems
Bai, Shih-Ming
Chen, Shyi-Ming
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2008, 35 (1-2) : 41 - 49
[6] Learning Flexible Structured Linguistic Fuzzy Rules for Mamdani Fuzzy Systems
Xiong, Ning
[J]. 2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 2009, : 86 - 91
[7] Inductive learning of fuzzy classification rules for machine fault diagnosis
Peng, Yong-hong
Chen, Tong-jian
Tse, P.W.
[J]. Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2000, 28 (12): : 100 - 106
[8] Fossa: Learning ECA Rules for Adaptive Distributed Systems
Froemmgen, Alexander
Rehner, Robert
Lehn, Max
Buchmann, Alejandro
[J]. 2015 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING, 2015, : 207 - 210
[9] Constructing neuro-fuzzy systems with TSK fuzzy rules and hybrid SVD-based learning
Lee, WJ
Ouyang, CS
Lee, SJ
[J]. PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 1174 - 1179
[10] Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems
Kasabov, NK
[J]. FUZZY SETS AND SYSTEMS, 1996, 82 (02) : 135 - 149

← 1 2 3 4 5 →