Personalized word learning for ESL students via integration of implicit and explicit profiles

Fu Lee WANG, Di ZOU, Haoran XIE

Research output: Book Chapters | Papers in Conference ProceedingsBook Chapter

1 Scopus Citations

Abstract

Word learning is the one of most fundamental steps for English as Second Language (ESL) students. However, it is a challenge to understand each individual student to provide them with personalized learning experience, since it is difficult to identify various variables like learning style, language proficiency, knowledge background for each learner in an e-learning system. To address this issue, we propose an integrated framework to depict the individual vocabulary proficiency by using the implicit and explicit profiles. The explicit user profiling gives the control of users to specify and modify their vocabulary proficiency so that the users will have a sense of ownership of their personalized data, whereas the implicit user profiling is a non-intrusive method which can record and update the proficiency of learners without explicit manually input from users. In this paper, we attempt to integrate these two kinds of profiles to build a powerful learner profile for personalized vocabulary learning. Furthermore, the preliminary empirical results validate the effectiveness of the integrated framework.
Original languageEnglish
Title of host publicationBlended Learning : Enhancing Learning Success : 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, proceedings
Editors Simon K.S. CHEUNG, Lam-for KWOK, Kenichi KUBOTA, Lap-Kei LEE, Jumpei TOKITO
PublisherSpringer International Publishing AG
Pages301-310
Number of pages9
ISBN (Electronic)9783319945057
ISBN (Print)9783319945040
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event11th International Conference on Blended Learning - Kansai University, Osaka, Japan
Duration: 31 Jul 20182 Aug 2018
http://www.aimtech.cityu.edu.hk/icbl2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10949
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Blended Learning
Abbreviated titleICBL 2018
CountryJapan
CityOsaka
Period31/07/182/08/18
Internet address

Fingerprint

Students
Learning systems

Bibliographical note

The work described in this paper was fully supported by the Start-Up Research Grant (RG 54/2017-2018R) of The Education University of Hong Kong and the Innovation and Technology Fund (Project No. GHP/022/17GD) from the Innovation and Technology Commission of the Government of the Hong Kong Special Administrative Region.

Keywords

  • Vocabulary acquisition
  • ESL
  • Student profiles
  • Learning analytics
  • Personalized learning

Cite this

WANG, F. L., ZOU, D., & XIE, H. (2018). Personalized word learning for ESL students via integration of implicit and explicit profiles. In S. K. S. CHEUNG, L. KWOK, K. KUBOTA, L-K. LEE, & J. TOKITO (Eds.), Blended Learning : Enhancing Learning Success : 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, proceedings (pp. 301-310). (Lecture Notes in Computer Science; Vol. 10949). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-94505-7_24
WANG, Fu Lee ; ZOU, Di ; XIE, Haoran. / Personalized word learning for ESL students via integration of implicit and explicit profiles. Blended Learning : Enhancing Learning Success : 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, proceedings. editor / Simon K.S. CHEUNG ; Lam-for KWOK ; Kenichi KUBOTA ; Lap-Kei LEE ; Jumpei TOKITO. Springer International Publishing AG, 2018. pp. 301-310 (Lecture Notes in Computer Science).
@inbook{a6aa6d32b20949c1a363c8c81257cf50,
title = "Personalized word learning for ESL students via integration of implicit and explicit profiles",
abstract = "Word learning is the one of most fundamental steps for English as Second Language (ESL) students. However, it is a challenge to understand each individual student to provide them with personalized learning experience, since it is difficult to identify various variables like learning style, language proficiency, knowledge background for each learner in an e-learning system. To address this issue, we propose an integrated framework to depict the individual vocabulary proficiency by using the implicit and explicit profiles. The explicit user profiling gives the control of users to specify and modify their vocabulary proficiency so that the users will have a sense of ownership of their personalized data, whereas the implicit user profiling is a non-intrusive method which can record and update the proficiency of learners without explicit manually input from users. In this paper, we attempt to integrate these two kinds of profiles to build a powerful learner profile for personalized vocabulary learning. Furthermore, the preliminary empirical results validate the effectiveness of the integrated framework.",
keywords = "Vocabulary acquisition, ESL, Student profiles, Learning analytics, Personalized learning",
author = "WANG, {Fu Lee} and Di ZOU and Haoran XIE",
note = "The work described in this paper was fully supported by the Start-Up Research Grant (RG 54/2017-2018R) of The Education University of Hong Kong and the Innovation and Technology Fund (Project No. GHP/022/17GD) from the Innovation and Technology Commission of the Government of the Hong Kong Special Administrative Region.",
year = "2018",
doi = "10.1007/978-3-319-94505-7_24",
language = "English",
isbn = "9783319945040",
series = "Lecture Notes in Computer Science",
publisher = "Springer International Publishing AG",
pages = "301--310",
editor = "CHEUNG, { Simon K.S. } and Lam-for KWOK and Kenichi KUBOTA and LEE, {Lap-Kei } and TOKITO, {Jumpei }",
booktitle = "Blended Learning : Enhancing Learning Success : 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, proceedings",
address = "Switzerland",

}

WANG, FL, ZOU, D & XIE, H 2018, Personalized word learning for ESL students via integration of implicit and explicit profiles. in SKS CHEUNG, L KWOK, K KUBOTA, L-K LEE & J TOKITO (eds), Blended Learning : Enhancing Learning Success : 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, proceedings. Lecture Notes in Computer Science, vol. 10949, Springer International Publishing AG, pp. 301-310, 11th International Conference on Blended Learning , Osaka, Japan, 31/07/18. https://doi.org/10.1007/978-3-319-94505-7_24

Personalized word learning for ESL students via integration of implicit and explicit profiles. / WANG, Fu Lee; ZOU, Di; XIE, Haoran.

Blended Learning : Enhancing Learning Success : 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, proceedings. ed. / Simon K.S. CHEUNG; Lam-for KWOK; Kenichi KUBOTA; Lap-Kei LEE; Jumpei TOKITO. Springer International Publishing AG, 2018. p. 301-310 (Lecture Notes in Computer Science; Vol. 10949).

Research output: Book Chapters | Papers in Conference ProceedingsBook Chapter

TY - CHAP

T1 - Personalized word learning for ESL students via integration of implicit and explicit profiles

AU - WANG, Fu Lee

AU - ZOU, Di

AU - XIE, Haoran

N1 - The work described in this paper was fully supported by the Start-Up Research Grant (RG 54/2017-2018R) of The Education University of Hong Kong and the Innovation and Technology Fund (Project No. GHP/022/17GD) from the Innovation and Technology Commission of the Government of the Hong Kong Special Administrative Region.

PY - 2018

Y1 - 2018

N2 - Word learning is the one of most fundamental steps for English as Second Language (ESL) students. However, it is a challenge to understand each individual student to provide them with personalized learning experience, since it is difficult to identify various variables like learning style, language proficiency, knowledge background for each learner in an e-learning system. To address this issue, we propose an integrated framework to depict the individual vocabulary proficiency by using the implicit and explicit profiles. The explicit user profiling gives the control of users to specify and modify their vocabulary proficiency so that the users will have a sense of ownership of their personalized data, whereas the implicit user profiling is a non-intrusive method which can record and update the proficiency of learners without explicit manually input from users. In this paper, we attempt to integrate these two kinds of profiles to build a powerful learner profile for personalized vocabulary learning. Furthermore, the preliminary empirical results validate the effectiveness of the integrated framework.

AB - Word learning is the one of most fundamental steps for English as Second Language (ESL) students. However, it is a challenge to understand each individual student to provide them with personalized learning experience, since it is difficult to identify various variables like learning style, language proficiency, knowledge background for each learner in an e-learning system. To address this issue, we propose an integrated framework to depict the individual vocabulary proficiency by using the implicit and explicit profiles. The explicit user profiling gives the control of users to specify and modify their vocabulary proficiency so that the users will have a sense of ownership of their personalized data, whereas the implicit user profiling is a non-intrusive method which can record and update the proficiency of learners without explicit manually input from users. In this paper, we attempt to integrate these two kinds of profiles to build a powerful learner profile for personalized vocabulary learning. Furthermore, the preliminary empirical results validate the effectiveness of the integrated framework.

KW - Vocabulary acquisition

KW - ESL

KW - Student profiles

KW - Learning analytics

KW - Personalized learning

UR - http://www.scopus.com/inward/record.url?scp=85051080529&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-94505-7_24

DO - 10.1007/978-3-319-94505-7_24

M3 - Book Chapter

SN - 9783319945040

T3 - Lecture Notes in Computer Science

SP - 301

EP - 310

BT - Blended Learning : Enhancing Learning Success : 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, proceedings

A2 - CHEUNG, Simon K.S.

A2 - KWOK, Lam-for

A2 - KUBOTA, Kenichi

A2 - LEE, Lap-Kei

A2 - TOKITO, Jumpei

PB - Springer International Publishing AG

ER -

WANG FL, ZOU D, XIE H. Personalized word learning for ESL students via integration of implicit and explicit profiles. In CHEUNG SKS, KWOK L, KUBOTA K, LEE L-K, TOKITO J, editors, Blended Learning : Enhancing Learning Success : 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, proceedings. Springer International Publishing AG. 2018. p. 301-310. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-94505-7_24