Introduction of Methods Showcase Articles in Language Learning

Dados Bibliográficos

ID5007697
AutoresScott A Crossley (0000-0002-5148-0273, Georgia State University), Scott Crossley (Georgia State University), Emma Marsden (0000-0003-4086-5765, University of York), Nick C Ellis (0000-0002-4235-6481, University of Michigan), Nick Ellis (0000-0002-1920-4930, University of Michigan), Judit Kormos (0000-0003-4700-1580, Lancaster University), Kara Morgan‐short (0000-0003-3606-7154, University of Illinois Chicago), Guillaume Thierry (0000-0003-1325-2656, Bangor University)
Ano2020
Volume70
Fascículo1
Páginas5-10
Data de publicação2020-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoLanguage Learning (JOURNAL)
Identificadores do periódicoISSN: 0023-8333 • E-ISSN: 1467-9922
EditoraWiley (PUBLISHER • GB)
DOI10.1111/lang.12389
OpenAlexW3006436024
IdiomaEN
Citações recebidas2
Referências citadas8

Building on initiatives to promote high quality methodologies and Open Science practices in the language sciences, Language Learning will introduce, as of March 2020, a new manuscript type entitled Methods Showcase Articles (MSAs). The purpose of MSAs is to introduce new or emerging qualitative and quantitative methods, techniques, or instrumentation for language data collection, cleaning, sampling, coding, scoring, and analysis. MSAs are intended to describe methods and provide detailed examples of their application such that language researchers can easily adopt or adapt them in future studies. In this editorial, we outline the goals, format, and benefits of MSAs, discuss how they can advance language sciences, and discuss potential concerns

Coding (social sciences) · Data collection · Data science · Language acquisition · Mathematics education · Quality (philosophy) · Sociology · Computer Science · Multilingual Education and Policy · Natural Language Processing Techniques · Psychology · Second Language Learning and Teaching