Classification of video lecture learners’ cognitive and negative emotional states using a Bayesian belief network

Xiaomei Tao; Qinzhou Niu; Mike Jackson; Martyn Ratcliffe

doi:10.2298/FIL1805823T

Classification of video lecture learners’ cognitive and negative emotional states using a Bayesian belief network

Xiaomei Tao^*, Qinzhou Niu, Mike Jackson, Martyn Ratcliffe

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Original language	English
Pages (from-to)	1823-1829
Number of pages	7
Journal	Filomat
Volume	32
Issue number	5
DOIs	https://doi.org/10.2298/FIL1805823T
Publication status	Published (VoR) - 2018

Funding

As the research of the thesis is sponsored by National Natural Science Foundation of China (No: 51365010, 61563012), Guangxi young teachers promotion project (No: 2017KY0266), Guangxi Key Laboratory Fund of Embedded Technology and Intelligent Systems at Guilin University of Technology, we would like to extend our sincere gratitude to them. And we would also like to express our appreciation to Faculty of Computing, Engineering and the Built Environment at Birmingham City University.

Keywords

Affective learning
Bayesian belief network
Cognitive and emotional states
Fuzzy classification

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10.2298/FIL1805823T

Cite this

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title = "Classification of video lecture learners{\textquoteright} cognitive and negative emotional states using a Bayesian belief network",

keywords = "Affective learning, Bayesian belief network, Cognitive and emotional states, Fuzzy classification",

author = "Xiaomei Tao and Qinzhou Niu and Mike Jackson and Martyn Ratcliffe",

note = "Funding Information: As the research of the thesis is sponsored by National Natural Science Foundation of China (No: 51365010, 61563012), Guangxi young teachers promotion project (No: 2017KY0266), Guangxi Key Laboratory Fund of Embedded Technology and Intelligent Systems at Guilin University of Technology, we would like to extend our sincere gratitude to them. And we would also like to express our appreciation to Faculty of Computing, Engineering and the Built Environment at Birmingham City University. Publisher Copyright: {\textcopyright} 2018, University of Nis. All rights reserved.",

year = "2018",

doi = "10.2298/FIL1805823T",

language = "English",

volume = "32",

pages = "1823--1829",

journal = "Filomat",

issn = "0354-5180",

number = "5",

}

TY - JOUR

T1 - Classification of video lecture learners’ cognitive and negative emotional states using a Bayesian belief network

AU - Tao, Xiaomei

AU - Niu, Qinzhou

AU - Jackson, Mike

AU - Ratcliffe, Martyn

N1 - Funding Information: As the research of the thesis is sponsored by National Natural Science Foundation of China (No: 51365010, 61563012), Guangxi young teachers promotion project (No: 2017KY0266), Guangxi Key Laboratory Fund of Embedded Technology and Intelligent Systems at Guilin University of Technology, we would like to extend our sincere gratitude to them. And we would also like to express our appreciation to Faculty of Computing, Engineering and the Built Environment at Birmingham City University. Publisher Copyright: © 2018, University of Nis. All rights reserved.

PY - 2018

Y1 - 2018

KW - Affective learning

KW - Bayesian belief network

KW - Cognitive and emotional states

KW - Fuzzy classification

UR - https://www.scopus.com/pages/publications/85061199575

UR - https://www.scopus.com/inward/citedby.url?scp=85061199575&partnerID=8YFLogxK

U2 - 10.2298/FIL1805823T

DO - 10.2298/FIL1805823T

M3 - Article

AN - SCOPUS:85061199575

SN - 0354-5180

VL - 32

SP - 1823

EP - 1829

JO - Filomat

JF - Filomat

IS - 5

ER -

Classification of video lecture learners’ cognitive and negative emotional states using a Bayesian belief network

Funding

Keywords

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