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

Research output: Contribution to journalArticlepeer-review

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).
Original languageEnglish
Pages (from-to)869-903
JournalLanguage Learning
Volume73
Issue number3
Early online date2022 Dec 20
DOIs
Publication statusPublished - 2023

Subject classification (UKÄ)

  • Computer Science
  • General Language Studies and Linguistics

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