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The Lang-Track-App : Open-Source Tools for Implementing the Experience Sampling Method in Second Language Acquisition Research

Arndt, Henriette L. LU orcid ; Granfelt, Jonas LU orcid and Gullberg, Marianne LU orcid (2023) In Language Learning 73(3). p.869-903
Abstract
This paper introduces the Lang-Track-App, a smartphone application and backend system to aid second language acquisition researchers in implementing the experience sampling method (ESM). Surveying research participants with the Lang-Track-App multiple times per day can yield exceptionally rich data that can be analyzed in multiple ways. This article explains the different Lang-Track-App components and describes workflows for both researchers and participants. To demonstrate the step-by-step implementation, we present a recent study of language use in study abroad as a test case in which we used the Lang-Track-App to collect ESM data about frequency and qualitative aspects of language use. A selection of findings from this study highlights... (More)
This paper introduces the Lang-Track-App, a smartphone application and backend system to aid second language acquisition researchers in implementing the experience sampling method (ESM). Surveying research participants with the Lang-Track-App multiple times per day can yield exceptionally rich data that can be analyzed in multiple ways. This article explains the different Lang-Track-App components and describes workflows for both researchers and participants. To demonstrate the step-by-step implementation, we present a recent study of language use in study abroad as a test case in which we used the Lang-Track-App to collect ESM data about frequency and qualitative aspects of language use. A selection of findings from this study highlights the richness of ESM data and how they can be analyzed at various levels. Researchers wishing to use the Lang-Track-App to implement the ESM in their own research can access the full open-source code and documentation via GitHub (https://github.com/HumlabLu). (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Language Learning
volume
73
issue
3
pages
869 - 903
publisher
Wiley-Blackwell
external identifiers
  • scopus:85148382156
ISSN
1467-9922
DOI
10.1111/lang.12555
project
THE LANG-TRACK-APP: Studying exposure to and use of a new language using smartphone technology
language
English
LU publication?
yes
id
862515da-021a-4b37-8a72-19816e5f6055
date added to LUP
2022-12-21 12:09:52
date last changed
2023-12-05 14:10:46
@article{862515da-021a-4b37-8a72-19816e5f6055,
  abstract     = {{This paper introduces the Lang-Track-App, a smartphone application and backend system to aid second language acquisition researchers in implementing the experience sampling method (ESM). Surveying research participants with the Lang-Track-App multiple times per day can yield exceptionally rich data that can be analyzed in multiple ways. This article explains the different Lang-Track-App components and describes workflows for both researchers and participants. To demonstrate the step-by-step implementation, we present a recent study of language use in study abroad as a test case in which we used the Lang-Track-App to collect ESM data about frequency and qualitative aspects of language use. A selection of findings from this study highlights the richness of ESM data and how they can be analyzed at various levels. Researchers wishing to use the Lang-Track-App to implement the ESM in their own research can access the full open-source code and documentation via GitHub (https://github.com/HumlabLu).}},
  author       = {{Arndt, Henriette L. and Granfelt, Jonas and Gullberg, Marianne}},
  issn         = {{1467-9922}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{869--903}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Language Learning}},
  title        = {{The Lang-Track-App : Open-Source Tools for Implementing the Experience Sampling Method in Second Language Acquisition Research}},
  url          = {{http://dx.doi.org/10.1111/lang.12555}},
  doi          = {{10.1111/lang.12555}},
  volume       = {{73}},
  year         = {{2023}},
}