A personalised task recommendation system for vocabulary learning based on readability and diversity

Haoran XIE, Minhong WANG, Di ZOU, Fu Lee WANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)

2 Citations (Scopus)

Abstract

Vocabulary learning is the foundation of language acquisition for second language learners. To assist language learners’ vocabulary learning, this research investigated a personalized task recommendation system based on readability and diversity. A word learning theory, the involvement load hypothesis, has also been applied as the theoretical framework of the system to facilitate task recommendation. Ten Chinese learners of English were invited to participate in the research and used the system for vocabulary learning for around two weeks. These students were all intermediate learners. The participants’ learning experience, outcomes, motivation and attitude were measured respectively using questionnaires, pretests, posttests, and interviews. The results showed that the participants were very satisfied with the learning experience, and positive learning outcomes and attitudes were observed. Many students stated that they would love to keep using the proposed recommendation system for future language learning. It is also suggested that the wide use of this system will benefit many self-access language learners.
Original languageEnglish
Title of host publicationBlended Learning : Educational Innovation for Personalized Learning : 12th International Conference, ICBL 2019, Hradec Kralove, Czech Republic, July 2–4, 2019, proceedings
EditorsSimon K. S. CHEUNG, Lap-Kei LEE, Ivana SIMONOVA, Tomas KOZEL, Lam-For KWOK
Place of PublicationSwitzerland
PublisherSpringer Nature Switzerland AG
Pages82-92
Number of pages11
ISBN (Electronic)9783030215620
ISBN (Print)9783030215613
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event12th International Conference on Blended Learning - Hradec Kralove, Czech Republic
Duration: 2 Jul 20194 Jul 2019
http://www.aimtech.cityu.edu.hk/icbl2019/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11546 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Blended Learning
Abbreviated titleICBL 2019
CountryCzech Republic
Period2/07/194/07/19
Internet address

Keywords

  • Diversity
  • Personalized learning
  • Readability
  • Recommendation system
  • Word learning

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    XIE, H., WANG, M., ZOU, D., & WANG, F. L. (2019). A personalised task recommendation system for vocabulary learning based on readability and diversity. In S. K. S. CHEUNG, L-K. LEE, I. SIMONOVA, T. KOZEL, & L-F. KWOK (Eds.), Blended Learning : Educational Innovation for Personalized Learning : 12th International Conference, ICBL 2019, Hradec Kralove, Czech Republic, July 2–4, 2019, proceedings (pp. 82-92). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11546 LNCS). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-21562-0_7