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Collecting language assessment data in the age of pandemic: a preliminary case study of Chinese EFL learners

  • Junyan Guo ORCID logo EMAIL logo
Published/Copyright: January 1, 2024

Abstract

This study reports a preliminary exploration of the online collection of language assessment data in the author’s PhD project under the influence of the COVID-19 pandemic. It describes the challenges the author met, details the adaptations she made, and delineates its implications. Specifically, the data collection in this project involved remotely delivering three vocabulary tests and one speaking task to EFL learners in mainland China and collecting the results of these tests. In this process, the author trialed, pilot-tested, and compared three test-administering modes: first an asynchronous mode (Wenjuanwang), then a synchronous mode (Tencent Meeting), and finally a return to an asynchronous mode (Super Star Learning). It is hoped that this exploratory investigation into these technology-enhanced online methods will add a different perspective and present a multifaceted view for data collection of language assessment research during and after this pandemic.


Corresponding author: Junyan Guo, Faculty of Arts, The University of Auckland, 18 Symonds Street, 1010 Auckland, New Zealand, E-mail:

References

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Received: 2021-12-15
Accepted: 2023-09-05
Published Online: 2024-01-01

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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