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Training predictive L2 processing with a digital game : prototype promotes acquisition of anticipatory use of tone-suffix associations

Schremm, Andrea LU ; Hed, Anna LU ; Horne, Merle LU orcid and Roll, Mikael LU (2017) In Computers & Education 114. p.206-221
Abstract
The present article introduces the concept of an educational game application aimed at providing training in predictive second language (L2) processing. The prototype of the game, focusing on Swedish tone-suffix associations, was tested during a two-week-period, with L2 learners whose native language lacked the targeted anticipatory linguistic cue. Results indicated that the game successfully promoted the learning of a novel L2 predictive strategy, as reflected in a general increase in accuracy throughout the test period and a gradually faster performance of the predictive task. More time spent on the highest level of the game was associated with greater accuracy gains. Furthermore, results suggest that perceptual training provided by the... (More)
The present article introduces the concept of an educational game application aimed at providing training in predictive second language (L2) processing. The prototype of the game, focusing on Swedish tone-suffix associations, was tested during a two-week-period, with L2 learners whose native language lacked the targeted anticipatory linguistic cue. Results indicated that the game successfully promoted the learning of a novel L2 predictive strategy, as reflected in a general increase in accuracy throughout the test period and a gradually faster performance of the predictive task. More time spent on the highest level of the game was associated with greater accuracy gains. Furthermore, results suggest that perceptual training provided by the prototype even leads to improved production of the tonal cue. Implementation of the presented game concept in the form of a platform game is also discussed. (Less)
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Computers & Education
volume
114
pages
206 - 221
publisher
Elsevier
external identifiers
  • scopus:85024915347
  • wos:000409287600013
ISSN
0360-1315
DOI
10.1016/j.compedu.2017.07.006
project
Tone-Grammar Interaction in the Human Brain: Mechanisms and Applications
The language melody game (LMG): Learning Swedish word accents using IT and digital media
language
English
LU publication?
yes
id
b4437572-824a-46c8-b775-4d7f1291dc0d
date added to LUP
2017-07-20 10:20:52
date last changed
2023-11-17 01:17:14
@article{b4437572-824a-46c8-b775-4d7f1291dc0d,
  abstract     = {{The present article introduces the concept of an educational game application aimed at providing training in predictive second language (L2) processing. The prototype of the game, focusing on Swedish tone-suffix associations, was tested during a two-week-period, with L2 learners whose native language lacked the targeted anticipatory linguistic cue. Results indicated that the game successfully promoted the learning of a novel L2 predictive strategy, as reflected in a general increase in accuracy throughout the test period and a gradually faster performance of the predictive task. More time spent on the highest level of the game was associated with greater accuracy gains. Furthermore, results suggest that perceptual training provided by the prototype even leads to improved production of the tonal cue. Implementation of the presented game concept in the form of a platform game is also discussed.}},
  author       = {{Schremm, Andrea and Hed, Anna and Horne, Merle and Roll, Mikael}},
  issn         = {{0360-1315}},
  language     = {{eng}},
  pages        = {{206--221}},
  publisher    = {{Elsevier}},
  series       = {{Computers & Education}},
  title        = {{Training predictive L2 processing with a digital game : prototype promotes acquisition of anticipatory use of tone-suffix associations}},
  url          = {{http://dx.doi.org/10.1016/j.compedu.2017.07.006}},
  doi          = {{10.1016/j.compedu.2017.07.006}},
  volume       = {{114}},
  year         = {{2017}},
}