Towards the Design of a Personalized Vocabulary Learning System for University Graduates Based on Context Readability and Task Diversity

Gary CHENG*, Di ZOU

*Corresponding author for this work

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

Abstract

This study aimed to enhance vocabulary acquisition among university graduates using a personalized system that incorporates two strategies based on the involvement load hypothesis: context readability and task diversity. Context readability involves understanding learners’ interests and suggesting learning tasks within their preferred contexts, while task diversity focuses on tracking learners’ progress and recommending various learning tasks to ensure comprehensive training for each target word. To evaluate the effectiveness of the proposed system, 30 university graduates were divided into three groups: a control group, a group with only task diversity, and a group with both context readability and task diversity. The learning performance of participants was assessed through pre- and post-vocabulary tests. Results show that integrating both strategies is most effective in enhancing vocabulary acquisition for university graduates. Future research could refine the system and explore additional strategies for diverse learner populations.
Original languageEnglish
Title of host publicationTechnology in Education. Innovative Practices for the New Normal : 6th International Conference on Technology in Education, ICTE 2023, Hong Kong, China, December 19–21, 2023, Proceedings
EditorsSimon K. S. CHEUNG, Fu Lee WANG, Naraphorn PAOPRASERT, Peerayuth CHARNSETHIKUL, Kam Cheong LI, Kongkiti PHUSAVAT
PublisherSpringer Singapore
Chapter12
Pages129-138
ISBN (Electronic)9789819982554
ISBN (Print)9789819982547
DOIs
Publication statusPublished - 9 Nov 2023

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume1974
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Funding

The research has been supported by the Interdisciplinary Research Scheme of the Dean’s Research Fund 2021/22 (FLASS/DRF/IDS-3 2022) of The Education University of Hong Kong.

Keywords

  • context readability
  • personalized learning
  • task diversity
  • vocabulary acquisition

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