An explicit learner profiling model for personalized word learning recommendation

Di Zou, Haoran Xie, Tak Lam Wong, Fu Lee Wang, Reggie Kwan, Wai Hong Chan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Word knowledge is the foundation of language acquisition for second language learners. Due to the diversity of background knowledge and language proficiency levels of different learners, it is essential to understand and cater for various needs of users in an e-learning system. A personalized learning system which meets this requirement is therefore necessary. Users may also be concerned about the possible risk of revealing their private information and prefer controls on the personalization of a system. To leverage these two factors: personalization and control, we propose an explicit learner profiling model for word learning task recommendation in this paper. This proposed profiling model can be fully accessed and controlled by users. Moreover, the proposed system can recommend learning tasks based on explicit user profiles. The experimental results of a preliminary study further verify the effectiveness of the proposed model.

Original languageEnglish
Title of host publicationEmerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers
EditorsTien-Chi Huang, Rynson Lau, Yueh-Min Huang, Marc Spaniol, Chun-Hung Yuen
Pages495-499
Number of pages5
DOIs
Publication statusPublished - 2017
Event2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017 - Cape Town, South Africa
Duration: 20 Sept 201722 Sept 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10676 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017
Country/TerritorySouth Africa
CityCape Town
Period20/09/1722/09/17

Keywords

  • Language acquisition
  • Task recommendation
  • User modeling
  • Word learning

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