Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76950
Title: Game-based vocabulary learning in China and Hong Kong : students’ evaluation of different word learning APPs
Authors: Zou, D
Wang, F
Xie, H
Kohnke, L 
Keywords: Degree of elaboration
Game-based vocabulary learning
Personalized learning
Word learning APPs
Issue Date: 2018
Publisher: Springer Verlag
Source: Communications in Computer and Information Science, 2018, v. 843, p. 44-55 How to cite?
Journal: Communications in Computer and Information Science 
Abstract: The present research firstly investigated how Chinese and Hong Kong students evaluated five commonly used word learning APPs. Data concerning their perceptions and experience of using these APPs were collected through interviews and questionnaire surveys. Questions concerning their expectations of effective word learning APPs were also asked. The collected data were coded and analyzed to identify common features or points mentioned by the students. The results showed that students highly value features like enabling users to choose specific target groups of words, having vivid visual aids, providing pronunciations, detailed and accurate definitions and examples, and allowing users to interact with other users. The second part of this research asked the students to compare a wording learning APP developed by The Hong Kong Polytechnic University to the APPs that they had used previously, evaluating the advantages and disadvantages of different word learning APPs. The results of the research are consistent with Zou’s (2016, 2017) arguments that the availability of various aspects of word knowledge are conducive to effective word learning as it promotes greater degree of elaboration on the target vocabulary. Moreover, the results support Zou and Xie’s (2018) argument that personalized learning is essential to learner engagement and learning effectiveness.
URI: http://hdl.handle.net/10397/76950
ISBN: 9789811300073
ISSN: 1865-0929
DOI: 10.1007/978-981-13-0008-0_5
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

55
Citations as of Aug 14, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.