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 ChapterResearch

1 Citation (Scopus)


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
Number of pages9
ISBN (Electronic)9783319945057
ISBN (Print)9783319945040
Publication statusPublished - 2018
Externally publishedYes
Event11th International Conference on Blended Learning - Kansai University, Osaka, Japan
Duration: 31 Jul 20182 Aug 2018

Publication series

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


Conference11th International Conference on Blended Learning
Abbreviated titleICBL 2018
Internet address

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.


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


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