Student grouping by neural network based on affective factors in learning English

Fitra A. Bachtiar; Cooper W. Eric; Katsuari Kamei

doi:10.1109/ICeEEM.2011.6137792

Student grouping by neural network based on affective factors in learning English

Fitra A. Bachtiar^*
, Cooper W. Eric
, Katsuari Kamei

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Differences between teaching perspectives and students characteristics may impact negatively on students' learning effectiveness. A new approach to bridge such a gap needs establishing. The capabilities of artificial neural networks to approximate extremely complex problems encourage us to develop a grouping model of students' English ability. The model was trained using back propagation algorithm and tested using 154 samples from college students. The model grouping rate on students' English abilities demonstrated fairly low errors for both general grouping and each ability grouping for Listening, Reading, Speaking, and Reading, respectively.

Original language	English
Title of host publication	Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011
Pages	226-229
Number of pages	4
DOIs	https://doi.org/10.1109/ICeEEM.2011.6137792
Publication status	Published - 2011
Externally published	Yes
Event	2011 International Conference on e-Education, Entertainment and e-Management, ICEEE 2011 - Jakarta, Indonesia Duration: 27 Dec 2011 → 29 Dec 2011

Publication series

Name	Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011

Conference

Conference	2011 International Conference on e-Education, Entertainment and e-Management, ICEEE 2011
Country/Territory	Indonesia
City	Jakarta
Period	27/12/11 → 29/12/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

affective factor
neural networks
student grouping

Access to Document

10.1109/ICeEEM.2011.6137792

Cite this

Bachtiar, F. A., Eric, C. W., & Kamei, K. (2011). Student grouping by neural network based on affective factors in learning English. In Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011 (pp. 226-229). Article 6137792 (Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011). https://doi.org/10.1109/ICeEEM.2011.6137792

@inproceedings{a53cf3eb3d464b3fa102b76f8366f463,

title = "Student grouping by neural network based on affective factors in learning English",

abstract = "Differences between teaching perspectives and students characteristics may impact negatively on students' learning effectiveness. A new approach to bridge such a gap needs establishing. The capabilities of artificial neural networks to approximate extremely complex problems encourage us to develop a grouping model of students' English ability. The model was trained using back propagation algorithm and tested using 154 samples from college students. The model grouping rate on students' English abilities demonstrated fairly low errors for both general grouping and each ability grouping for Listening, Reading, Speaking, and Reading, respectively.",

keywords = "affective factor, neural networks, student grouping",

author = "Bachtiar, \{Fitra A.\} and Eric, \{Cooper W.\} and Katsuari Kamei",

year = "2011",

doi = "10.1109/ICeEEM.2011.6137792",

language = "English",

isbn = "9781457713811",

series = "Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011",

pages = "226--229",

booktitle = "Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011",

note = "2011 International Conference on e-Education, Entertainment and e-Management, ICEEE 2011 ; Conference date: 27-12-2011 Through 29-12-2011",

}

Bachtiar, FA, Eric, CW & Kamei, K 2011, Student grouping by neural network based on affective factors in learning English. in Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011., 6137792, Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011, pp. 226-229, 2011 International Conference on e-Education, Entertainment and e-Management, ICEEE 2011, Jakarta, Indonesia, 27/12/11. https://doi.org/10.1109/ICeEEM.2011.6137792

Student grouping by neural network based on affective factors in learning English. / Bachtiar, Fitra A.; Eric, Cooper W.; Kamei, Katsuari.
Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011. 2011. p. 226-229 6137792 (Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011).

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

TY - GEN

T1 - Student grouping by neural network based on affective factors in learning English

AU - Bachtiar, Fitra A.

AU - Eric, Cooper W.

AU - Kamei, Katsuari

PY - 2011

Y1 - 2011

N2 - Differences between teaching perspectives and students characteristics may impact negatively on students' learning effectiveness. A new approach to bridge such a gap needs establishing. The capabilities of artificial neural networks to approximate extremely complex problems encourage us to develop a grouping model of students' English ability. The model was trained using back propagation algorithm and tested using 154 samples from college students. The model grouping rate on students' English abilities demonstrated fairly low errors for both general grouping and each ability grouping for Listening, Reading, Speaking, and Reading, respectively.

AB - Differences between teaching perspectives and students characteristics may impact negatively on students' learning effectiveness. A new approach to bridge such a gap needs establishing. The capabilities of artificial neural networks to approximate extremely complex problems encourage us to develop a grouping model of students' English ability. The model was trained using back propagation algorithm and tested using 154 samples from college students. The model grouping rate on students' English abilities demonstrated fairly low errors for both general grouping and each ability grouping for Listening, Reading, Speaking, and Reading, respectively.

KW - affective factor

KW - neural networks

KW - student grouping

UR - https://www.scopus.com/pages/publications/84857327194

U2 - 10.1109/ICeEEM.2011.6137792

DO - 10.1109/ICeEEM.2011.6137792

M3 - Conference contribution

AN - SCOPUS:84857327194

SN - 9781457713811

T3 - Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011

SP - 226

EP - 229

BT - Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011

T2 - 2011 International Conference on e-Education, Entertainment and e-Management, ICEEE 2011

Y2 - 27 December 2011 through 29 December 2011

ER -

Bachtiar FA, Eric CW, Kamei K. Student grouping by neural network based on affective factors in learning English. In Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011. 2011. p. 226-229. 6137792. (Proceeding of the International Conference on e-Education Entertainment and e-Management, ICEEE 2011). doi: 10.1109/ICeEEM.2011.6137792

Student grouping by neural network based on affective factors in learning English

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this