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Developing an internet-based �Tests of Aptitude in Language Learning (TALL): �An open research endeavour

Junlan Pan 盘峻岚

Department of Education

Supervisor: Prof Emma Marsden

Advisor: Dr Giulia Bovolenta

Funder:

Enhancing Research Fund, School of Foreign Languages and Cultures, Chongqing University

Participatory Research Funding, University of York

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Background

Individual differences (ID) as variability in explaining L2 learning

(Brooks et al. 2017; Dᶏbrowska, 2019; DeKeyser, 2012; Dőrnyei, 2005; Kidd et al., 2018; Li et al., 2022; Misyak et al., 2012; Morgan-Short et al., 2014; Wallace, 2020; Yilmaz & Granena, 2019; … )

Language Learning Aptitude as an ID construct

a hybrid construct of cognitive abilities for learning L2 efficiently

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General issues

Yes, there are instruments to measure aptitude

e.g. MLAT (Carroll & Sapon, 1959), PLAB (Pimsleur, 1966), LLAMA (Meara, 2005), Hi-LAB (Linck et al., 2013), etc.

However,

Accessibility: LLAMA is openly accessible, but item-level data points are not

concerns about reliability and validity (Bokander & Bylund, 2020; Suzuki, 2021; though see Rogers et al., forthcoming)

Measuring aptitude is crucially important

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reducing methodological variations and heterogeneity between studies

reducing the total community work effort and cost of research

facilitating replication and reproducibility in language learning research (Bolibaugh et al., 2021)

conducting high-quality synthesis of aptitude-related research findings

Availability of open instrument

Availability of open data pool

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“a chicken-and-egg conundrum”

(Marsden & Morgan-Short, for Language Learning Jubilee)

a sharing platform in L2 research, combining data and measures (MacWhinney, 2017)

“On one hand, before making materials and data openly available, consensus about validity and reliability is desirable; but, critically, in order to reach any consensus, open practices are needed to allow accumulation of knowledge over time and space.”

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Develop an internet-based battery with item-level data available for download

Validate this battery with the first batch of datasets

Make the battery an Open Instrument

(in progress)

Make the battery an Open Data Tool

(in progress)

An Open Research Initiative

Tests of Aptitude in Language Learning (TALL)

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Theoretical framework informing test design

The Stage Model (Skehan, 2016)

  • Attentional control
  • Phonetic coding ability
  • Retrieval memory
  • Working memory
  • Language analysis ability

Phonological/Executive (P/E) Model

(Wen, 2016, based on Baddeley & Hitch (1974)

and Engle & Kane (2004))

  1. Vocabulary Learning
  2. Sound Discrimination
  3. Language Analysis
  4. Serial Non-Word Recall
  5. Complex Span Task�

Materials are available on https://osf.io/czqxt/

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as open as possible, as close as necessary

Considerations

Accessibility

Sustainability

not relying on one individual staying in an institutional post (Obels et al., 2020)

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Accessibility

Interoperability

Reusability

Findability

More work is needed to following the FAIR principles:

www.iris-database.org

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More challenges ahead!!

Funding

junlan.pan@york.ac.uk

Time

Thank you!